Professor Chunhua Shen

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• Appointments

  Date	Position	Institution name
  2014	Professor	University of Adelaide
  2011 - 2014	Senior Lecturer/Associate Professor	University of Adelaide
  2005 - 2011	Researcher/Senior Researcher	National ICT Australia and Australian National University

• Awards and Achievements

  Date	Type	Title	Institution Name	Country	Amount
  2012	Fellowship	Australian Research Council Future Fellowship	—	Australia	—

• Education

  Date	Institution name	Country	Title
  2003 - 2005	University of Adelaide	Australia	PhD
  —	Nanjing University	China	Master
  —	Nanjing University	China	Bachelor
  —	Australian National University	Australia	MPhil Applied Statistics

• Research Interests

  Computer Graphics Computer Vision Knowledge Representation and Machine Learning

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• Journals

  Year	Citation
  2021	Xie, Y., Zhang, J., Lu, H., Shen, C., & Xia, Y. (2021). SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Transactions on Medical Imaging, 40(1), 286-296. DOI
  2021	Zhang, S., Liu, Y., Jin, L., Wei, Z., & Shen, C. (2021). OPMP: An Omnidirectional Pyramid Mask Proposal Network for Arbitrary-Shape Scene Text Detection. IEEE Transactions on Multimedia, 23, 454-467. DOI Scopus2 WoS1
  2020	Zhao, Y., Shen, C., Wang, H., & Chen, S. (2020). Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. IEEE Transactions on Intelligent Transportation Systems, 21(2), 723-734. DOI Scopus6 WoS5
  2020	Liu, L., Lu, H., Xiong, H., Xian, K., Cao, Z., & Shen, C. (2020). Counting objects by blockwise classification. IEEE Transactions on Circuits and Systems for Video Technology, 30(10), 3513-3527. DOI Scopus2
  2020	Zhang, L., Wang, P., Li, H., Li, Z., Shen, C., & Zhang, Y. (2020). A Robust Attentional Framework for License Plate Recognition in the Wild. IEEE Transactions on Intelligent Transportation Systems, 1-10. DOI
  2020	Dong, G., Yan, Y., Shen, C., & Wang, H. (2020). Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes. IEEE Transactions on Intelligent Transportation Systems, 1-17. DOI
  2020	Liu, L., Cao, Z., Lu, H., Xiong, H., & Shen, C. (2020). NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. IEEE Transactions on Intelligent Transportation Systems, 1-12. DOI
  2020	Wang, X., Shen, C., Li, H., & Xu, S. (2020). Human Detection Aided by Deeply Learned Semantic Masks. IEEE Transactions on Circuits and Systems for Video Technology, 30(8), 2663-2673. DOI
  2020	Cao, Y., Zhao, T., Xian, K., Shen, C., Cao, Z., & Xu, S. (2020). Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Circuits and Systems for Video Technology, 30(8), 2674-2682. DOI
  2020	Zhang, L., Wang, P., Liu, L., Shen, C., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Towards Effective Deep Embedding for Zero-Shot Learning. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 30(9), 2843-2852. DOI Scopus1
  2020	Zhang, L., Wang, P., Shen, C., Liu, L., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Adaptive importance learning for improving lightweight image super-resolution network. International Journal of Computer Vision, 128(2), 479-499. DOI Scopus5 WoS4
  2020	Chen, Y., Shen, C., Chen, H., Wei, X., Liu, L., & Yang, J. (2020). Adversarial learning of structure-aware fully convolutional networks for landmark localization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7), 1654-1669. DOI Scopus3 WoS2 Europe PMC1
  2020	Zhao, Y., Liu, Y., Shen, C., Gao, Y., & Xiong, S. (2020). MobileFAN: transferring deep hidden representation for face alignment. Pattern Recognition, 100, 10 pages. DOI Scopus3 WoS2
  2020	Zhang, P., Liu, W., Wang, D., Lei, Y., Wang, H., Shen, C., & Lu, H. (2020). Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps. Pattern Recognition, 100, 14 pages. DOI Scopus1
  2020	Wang, X., Kong, T., Shen, C., Jiang, Y., & Li, L. (2020). SOLO: Segmenting Objects by Locations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12363 LNCS, 649-665. DOI
  2020	Chen, H., Sun, K., Tian, Z., Shen, C., Huang, Y., & Yan, Y. (2020). Blendmask: Top-down meets bottom-up for instance segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 8570-8578. DOI Scopus12
  2020	Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2020). Accurate Tensor Completion via Adaptive Low-Rank Representation.. IEEE transactions on neural networks and learning systems, 31(1), 4170-4184. DOI
  2020	Liu, Y., Shen, C., Yu, C., & Wang, J. (2020). Efficient Semantic Video Segmentation with Per-Frame Inference. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12355 LNCS, 352-368. DOI
  2020	Liu, Y., Chen, H., Shen, C., He, T., Jin, L., & Wang, L. (2020). ABCNet: Real-Time Scene Text Spotting with Adaptive Bezier-Curve Network. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 9806-9815. DOI Scopus4
  2020	Gong, D., Zhang, Z., Shi, Q., Van Den Hengel, A., Shen, C., & Zhang, Y. (2020). Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Transactions on Neural Networks and Learning Systems, 31(12), 5468-5482. DOI Scopus3
  2020	Tian, Z., Shen, C., & Chen, H. (2020). Conditional Convolutions for Instance Segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12346 LNCS, 282-298. DOI
  2020	Yu, C., Wang, J., Gao, C., Yu, G., Shen, C., & Sang, N. (2020). Context prior for scene segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 12413-12422. DOI Scopus3
  2020	Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., . . . Xia, Y. (2020). Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection. IEEE Transactions on Medical Imaging, PP, 1-12. DOI
  2020	Zhang, R., Tian, Z., Shen, C., You, M., & Yan, Y. (2020). Mask Encoding for Single Shot Instance Segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 10223-10232. DOI
  2020	Lin, G., Liu, F., Milan, A., Shen, C., & Reid, I. (2020). RefineNet: multi-path refinement networks for dense prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(5), 1228-1242. DOI Scopus4 WoS3 Europe PMC1
  2020	Liu, W., Zhang, P., Huang, X., Yang, J., Shen, C., & Reid, I. (2020). Real-time image smoothing via iterative least squares. ACM Transactions on Graphics, 39(3), 28-1-28-24. DOI
  2020	Xie, Y., Zhang, J., Xia, Y., & Shen, C. (2020). A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Transactions on Medical Imaging, 39(7), 2482-2493. DOI Scopus11 WoS5 Europe PMC2
  2020	Liu, L., Lu, H., Zou, H., Xiong, H., Cao, Z., & Shen, C. (2020). Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12355 LNCS, 164-181. DOI
  2020	Liu, W., Zhang, P., Chen, X., Shen, C., Huang, X., & Yang, J. (2020). Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology, 30(1), 23-35. DOI Scopus1
  2020	Zhuang, B., Liu, L., Tan, M., Shen, C., & Reid, I. (2020). Training quantized neural networks with a full-precision auxiliary module. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1485-1494. DOI Scopus1
  2020	Zhang, H., Li, Y., Chen, H., & Shen, C. (2020). Memory-efficient hierarchical neural architecture search for image denoising. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3654-3663. DOI
  2020	Zhang, X., Zhang, R., Cao, J., Gong, D., You, M., & Shen, C. (2020). Part-Guided Attention Learning for Vehicle Instance Retrieval. IEEE Transactions on Intelligent Transportation Systems, 1-13. DOI
  2020	Nekrasov, V., Chen, H., Shen, C., & Reid, I. (2020). Architecture search of dynamic cells for semantic video segmentation. Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, abs/1904.02371, 1959-1968. DOI
  2019	Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Hengel, A. V. D. (2019). V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.. CoRR, abs/1907.12271.
  2019	Zhang, H., Li, Y., Jiang, Y., Wang, P., Shen, Q., & Shen, C. (2019). Hyperspectral classification based on lightweight 3-D-CNN with transfer learning. IEEE Transactions on Geoscience and Remote Sensing, 57(8), 5813-5828. DOI Scopus20 WoS16
  2019	Wei, X., Wang, P., Liu, L., Shen, C., & Wu, J. (2019). Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories with Few Examples. IEEE Transactions on Image Processing, 28(12), 6116-6125. DOI Scopus16 WoS5
  2019	Zhang, J., Xie, Y., Xia, Y., & Shen, C. (2019). Attention residual learning for skin lesion classification. IEEE Transactions on Medical Imaging, 38(9), 2092-2103. DOI WoS36
  2019	Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Accurate imagery recovery using a multi-observation patch model. Information Sciences, 501, 724-741. DOI
  2019	Zhang, P., Liu, W., Lu, H., & Shen, C. (2019). Salient object detection with lossless feature reflection and weighted structural loss. IEEE Transactions on Image Processing, 28(6), 3048-3060. DOI Scopus17 WoS10
  2019	Zhang, J., Wu, Q., Zhang, J., Shen, C., Lu, J., & Wu, Q. (2019). Heritage image annotation via collective knowledge. Pattern Recognition, 93, 204-214. DOI Scopus1 WoS1
  2019	Yan, Y., Huang, Y., Chen, S., Shen, C., & Wang, H. (2019). Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia, 22(11), 2792-2807. DOI Scopus1
  2019	Peng, X., Zhu, H., Feng, J., Shen, C., Zhang, H., & Zhou, J. T. (2019). Deep Clustering With Sample-Assignment Invariance Prior.. IEEE transactions on neural networks and learning systems, 31(11), 4857-4868. DOI Scopus25 WoS23 Europe PMC3
  2019	Xiong, H., Cao, Z., Lu, H., Madec, S., Liu, L., & Shen, C. (2019). TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks. Plant Methods, 15(1), 150-1-150-14. DOI Scopus5 WoS3 Europe PMC1
  2019	Nekrasov, V., Shen, C., & Reid, I. (2019). Light-weight refinenet for real-time semantic segmentation. British Machine Vision Conference 2018, BMVC 2018, abs/1810.03272. Scopus17
  2019	Zhang, T., Lin, G., Cai, J., Shen, T., Shen, C., & Kot, A. (2019). Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia, 21(11), 2930-2941. DOI Scopus9 WoS6
  2019	Li, H., Wang, P., & Shen, C. (2019). Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems, 20(3), 1126-1136. DOI Scopus46 WoS30
  2019	Wei, X., Zhang, C., Wu, J., Shen, C., & Zhou, Z. (2019). Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognition, 88, 113-126. DOI Scopus11 WoS6
  2019	Wu, Z., Shen, C., & van den Hengel, A. (2019). Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition, 90, 119-133. DOI Scopus146 WoS90
  2019	Wang, P., Liu, L., Shen, C., & Shen, H. (2019). Order-aware convolutional pooling for video based action recognition. Pattern Recognition, 91, 357-365. DOI Scopus6 WoS5
  2019	Liu, H., Ji, R., Wang, J., & Shen, C. (2019). Ordinal constraint binary coding for approximate nearest neighbor search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(4), 941-955. DOI Scopus15 WoS12
  2019	Zhang, L., Wang, P., Wei, W., Lu, H., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Unsupervised domain adaptation using robust class-wise matching. IEEE Transactions on Circuits and Systems for Video Technology, 29(5), 1339-1349. DOI Scopus9 WoS7
  2019	Yao, R., Lin, G., Shen, C., Zhang, Y., & Shi, Q. (2019). Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 29(6), 1687-1700. DOI Scopus5 WoS4
  2018	Liu, F., Lin, G., Qiao, R., & Shen, C. (2018). Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems, 29(6), 2631-2637. DOI Scopus8 WoS9
  2018	Wei, X., Xie, C., Wu, J., & Shen, C. (2018). Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognition, 76, 704-714. DOI Scopus54 WoS40
  2018	Guo, G., Wang, H., Shen, C., Yan, Y., & Liao, H. (2018). Automatic image cropping for visual aesthetic enhancement using deep neural networks and cascaded regression. IEEE Transactions on Multimedia, 20(8), 2073-2085. DOI Scopus13 WoS11
  2018	You, M., Zhang, Y., Shen, C., & Zhang, X. (2018). An Extended Filtered Channel Framework for Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems, 19(5), 1640-1651. DOI Scopus10 WoS8
  2018	Zhang, J., Wu, Q., Shen, C., Zhang, J., & Lu, J. (2018). Multilabel image classification with regional latent semantic dependencies. IEEE Transactions on Multimedia, 20(10), 2801-2813. DOI Scopus44 WoS23
  2018	Zhang, L., Wei, W., Zhang, Y., Shen, C., van den Hengel, A., & Shi, Q. (2018). Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction. International Journal of Computer Vision, 126(8), 797-821. DOI Scopus46 WoS54
  2018	Li, H., Wang, P., You, M., & Shen, C. (2018). Reading car license plates using deep neural networks. Image and Vision Computing, 72, 14-23. DOI Scopus39 WoS20
  2018	Lu, H., Shen, C., Cao, Z., Xiao, Y., & Van Den Hengel, A. (2018). An embarrassingly simple approach to visual domain adaptation. IEEE Transactions on Image Processing, 27(7), 3403-3417. DOI Scopus31 WoS27 Europe PMC1
  2018	Zhuang, N., Yan, Y., Chen, S., Wang, H., & Shen, C. (2018). Multi-label learning based deep transfer neural network for facial attribute classification. Pattern Recognition, 80, 225-240. DOI Scopus32 WoS21
  2018	Wu, Q., Shen, C., Wang, P., Dick, A., & van den Hengel, A. (2018). Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1367-1381. DOI Scopus100 WoS62
  2018	Cao, Y., Wu, Z., & Shen, C. (2018). Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. IEEE Transactions on Circuits and Systems for Video Technology, 28(11), 3174-3182. DOI Scopus59 WoS78
  2018	Sheng, B., Shen, C., Lin, G., Li, J., Yang, W., & Sun, C. (2018). Crowd counting via weighted VLAD on a dense attribute feature map. IEEE Transactions on Circuits and Systems for Video Technology, 28(8), 1788-1797. DOI Scopus34 WoS14
  2018	Nekrasov, V., Shen, C., & Reid, I. D. (2018). Diagnostics in semantic segmentation. CoRR, abs/1809.10328, 1-16.
  2018	Cao, Y., Zhao, T., Xian, K., Shen, C., Cao, Z., & Xu, S. (2018). Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Image Processing, 1. DOI Scopus1
  2018	Hu, Q., Wang, P., Shen, C., Van Den Hengel, A., & Porikli, F. (2018). Pushing the limits of deep CNNs for pedestrian detection. IEEE Transactions on Circuits and Systems for Video Technology, 28(6), 1358-1368. DOI Scopus28 WoS24
  2017	Cao, Y., Shen, C., & Shen, H. (2017). Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing, 26(2), 836-846. DOI Scopus28 WoS22 Europe PMC2
  2017	Hu, Q., Wang, H., Li, T., & Shen, C. (2017). Deep CNNs with spatially weighted pooling for fine-grained car recognition. IEEE Transactions on Intelligent Transportation Systems, 18(11), 3147-3156. DOI Scopus44 WoS31
  2017	Liu, L., Wang, P., Shen, C., Wang, L., Van Den Hengel, A., Wang, C., & Shen, H. (2017). Compositional model based Fisher vector coding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2335-2348. DOI Scopus27 WoS17
  2017	Wu, L., Chunhua, S., & Van Den Hengel, A. (2017). Deep linear discriminant analysis on fisher networks: a hybrid architecture for person re-identification. Pattern Recognition, 65, 238-250. DOI Scopus124 WoS96
  2017	Wang, P., Shen, C., Van Den Hengel, A., & Torr, P. (2017). Large-scale binary quadratic optimization using semidefinite relaxation and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(3), 470-485. DOI Scopus13 WoS11
  2017	Paisitkriangkrai, S., Wu, L., Shen, C., & van den Hengel, A. (2017). Structured learning of metric ensembles with application to person re-identification. Computer Vision and Image Understanding, 156, 51-65. DOI Scopus8 WoS5
  2017	Lin, G., Liu, F., Shen, C., Wu, J., & Shen, H. (2017). Structured learning of binary codes with column generation for optimizing ranking measures. International Journal of Computer Vision, 123(2), 287-308. DOI Scopus6 WoS4
  2017	Qiao, R., Liu, L., Shen, C., & van den Hengel, A. (2017). Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition, 66, 202-212. DOI Scopus34 WoS26
  2017	Wu, Q., Teney, D., Wang, P., Shen, C., Dick, A., & van den Hengel, A. (2017). Visual question answering: a survey of methods and datasets. Computer Vision and Image Understanding, 163, 21-40. DOI Scopus82 WoS49
  2017	Li, Y., Liu, L., Shen, C., & Hengel, A. (2017). Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision, 121(3), 344-364. DOI Scopus18 WoS14
  2017	Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). FVQA: fact-based Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10), 2413-2427. DOI Scopus47 WoS26
  2017	Lu, H., Cao, Z., Xiao, Y., Zhuang, B., & Shen, C. (2017). TasselNet: Counting maize tassels in the wild via local counts regression network. Plant Methods, 13(1), 17 pages. DOI Scopus44 WoS36 Europe PMC5
  2017	Yao, R., Shi, Q., Shen, C., Zhang, Y., & Van Den Hengel, A. (2017). Part-based robust tracking using online latent structured learning. IEEE Transactions on Circuits and Systems for Video Technology, 27(6), 1235-1248. DOI Scopus10 WoS9
  2017	Liu, F., Lin, G., & Shen, C. (2017). Discriminative training of deep fully connected continuous CRFs with task-specific loss. IEEE Transactions on Image Processing, 26(5), 2127-2136. DOI Scopus7 WoS7 Europe PMC1
  2017	Li, Y., Li, W., & Shen, C. (2017). Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5), 1870-1882. DOI Scopus9 WoS9
  2016	Wang, P., Cao, Y., Shen, C., Liu, L., & Shen, H. (2016). Temporal pyramid pooling based convolutional neural network for action recognition. IEEE Transactions on Circuits and Systems for Video Technology, 27(99), 1-8. DOI Scopus51 WoS48
  2016	Liu, F., Shen, C., Reid, I., & Van Den Hengel, A. (2016). Online unsupervised feature learning for visual tracking. Image and Vision Computing, 51, 84-94. DOI Scopus11 WoS10
  2016	Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2016). Pedestrian detection with spatially pooled features and structured ensemble learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(6), 1243-1257. DOI Scopus78 WoS60 Europe PMC4
  2016	Wang, S., Lu, J., Gu, X., Shen, C., Xia, R., & Yang, J. (2016). Canonical principal angles correlation analysis for two-view data. Journal of Visual Communication and Image Representation, 35, 209-219. DOI Scopus7 WoS8
  2016	Li, H., Shen, F., Shen, C., Yang, Y., & Gao, Y. (2016). Face recognition using linear representation ensembles. Pattern Recognition, 59, 72-87. DOI Scopus16 WoS11
  2016	Shen, F., Shen, C., Zhou, X., Yang, Y., & Shen, H. (2016). Face image classification by pooling raw features. Pattern Recognition, 54, 94-103. DOI Scopus40 WoS29
  2016	Liu, L., Wang, L., & Shen, C. (2016). A generalized probabilistic framework for compact codebook creation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), 224-237. DOI Scopus3 WoS2
  2016	Hu, Q., Paisitkriangkrai, S., Shen, C., Van Den Hengel, A., & Porikli, F. (2016). Fast detection of multiple objects in traffic scenes with a common detection framework. IEEE Transactions on Intelligent Transportation Systems, 17(4), 1002-1014. DOI Scopus50 WoS34
  2016	Li, X., Shen, C., Dick, A., Zhang, Z., & Zhuang, Y. (2016). Online metric-weighted linear representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(5), 931-950. DOI Scopus18 WoS16
  2016	Liu, L., Shen, C., & van den Hengel, A. (2016). Cross-convolutional-layer pooling for image recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(11), 2305-2313. DOI Scopus37 WoS30 Europe PMC2
  2016	Lin, G., Shen, C., Hengel, A., & Reid, I. (2016). Exploring context with deep structured models for semantic segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1352-1366. DOI Scopus33 WoS32 Europe PMC2
  2016	Zhao, X., Li, X., Zhang, Z., Shen, C., Zhuang, Y., Gao, L., & Li, X. (2016). Scalable linear visual feature learning via online parallel nonnegative matrix factorization. IEEE Transactions on Neural Networks and Learning Systems, 27(12), 2628-2642. DOI Scopus9 WoS9
  2016	Zhang, L., Wei, W., Zhang, Y., Shen, C., Van Den Hengel, A., & Shi, Q. (2016). Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing. IEEE Transactions on Geoscience and Remote Sensing, 54(12), 7223-7235. DOI Scopus35 WoS30
  2016	Liu, F., Shen, C., Lin, G., & Reid, I. (2016). Learning depth from single monocular images using deep convolutional neural fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 2024-2039. DOI Scopus472 WoS335 Europe PMC19
  2016	Wang, P., Shen, C., van den Hengel, A., & Torr, P. (2016). Efficient semidefinite branch-and-cut for MAP-MRF inference. International Journal of Computer Vision, 117(3), 269-289. DOI Scopus2 WoS1
  2016	Zhang, C., Shen, C., & Shen, T. (2016). Unsupervised Feature Learning for Dense Correspondences Across Scenes. International Journal of Computer Vision, 116(1), 90-107. DOI Scopus4 WoS4
  2015	Harandi, M., Hartley, R., Shen, C., Lovell, B., & Sanderson, C. (2015). Extrinsic methods for coding and dictionary learning on Grassmann manifolds. International Journal of Computer Vision, 114(2-3), 113-136. DOI Scopus44 WoS39
  2015	Luo, L., Shen, C., Liu, X., & Zhang, C. (2015). A computational model of the short-cut rule for 2D shape decomposition. IEEE Transactions on Image Processing, 24(1), 273-283. DOI Scopus12 WoS14
  2015	Li, H., Shen, C., Van Den Hengel, A., & Shi, Q. (2015). Worst case linear discriminant analysis as scalable semidefinite feasibility problems. IEEE Transactions on Image Processing, 24(8), 2382-2392. DOI Scopus6 WoS5
  2015	Lin, G., Shen, C., & van den Hengel, A. (2015). Supervised hashing using graph cuts and boosted decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11), 2317-2331. DOI Scopus59 WoS50 Europe PMC6
  2015	Shen, F., Shen, C., Shi, Q., Van Den Hengel, A., Tang, Z., & Shen, H. (2015). Hashing on nonlinear manifolds. IEEE Transactions on Image Processing, 24(6), 1839-1851. DOI Scopus110 WoS94 Europe PMC13
  2015	Liu, F., Lin, G., & Shen, C. (2015). CRF learning with CNN features for image segmentation. Pattern Recognition, 48(10), 2983-2992. DOI Scopus120 WoS101
  2014	Shen, C., Lin, G., & van den Hengel, A. (2014). StructBoost: boosting methods for predicting structured output variables. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(10), 2089-2103. DOI Scopus10 WoS4 Europe PMC2
  2014	Wang, L., Zhou, L., Shen, C., Liu, L., & Liu, H. (2014). A hierarchical word-merging algorithm with class separability measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(3), 417-435. DOI Scopus12 WoS8 Europe PMC1
  2014	Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2014). Large-margin learning of compact binary image encodings. IEEE Transactions on Image Processing, 23(9), 4041-4054. DOI Scopus1 WoS1 Europe PMC1
  2014	Shen, C., Kim, J., Liu, F., Wang, L., & van den Hengel, A. (2014). Efficient dual approach to distance metric learning. IEEE Transactions on Neural Networks and Learning Systems, 25(2), 394-406. DOI Scopus26 WoS22 Europe PMC6
  2014	Lu, Y., Wang, L., Lu, J., Yang, J., & Shen, C. (2014). Multiple kernel clustering based on centered kernel alignment. Pattern Recognition, 47(11), 3656-3664. DOI Scopus56 WoS41
  2014	Paisitkriangkrai, S., Shen, C., & van den Hengel, A. (2014). Asymmetric pruning for learning cascade detectors. IEEE Transactions on Multimedia, 16(5), 1254-1267. DOI Scopus4 WoS2
  2014	Yan, Y., Wang, H., & Shen, C. (2014). Efficient semidefinite spectral clustering via lagrange duality. IEEE Transactions on Image Processing, 23(8), 3522-3534. DOI Scopus9 WoS8
  2014	Liu, F., Zhou, L., Shen, C., & Yin, J. (2014). Multiple kernel learning in the primal for multimodal Alzheimer's disease classification. IEEE Journal of Biomedical and Health Informatics, 18(3), 984-990. DOI Scopus71 WoS54 Europe PMC25
  2014	Paisitkriangkrai, S., Shen, C., Shi, Q., & van den Hengel, A. (2014). RandomBoost: simplified multiclass boosting through randomization. IEEE Transactions on Neural Networks and Learning Systems, 25(4), 764-779. DOI Scopus6 WoS7 Europe PMC1
  2014	Li, Y., Jia, W., Shen, C., & van den Hengel, A. (2014). Characterness: an indicator of text in the wild. IEEE Transactions on Image Processing, 23(4), 1666-1677. DOI Scopus69 WoS56 Europe PMC5
  2014	Shen, F., Shen, C., Hill, R., Van Den Hengel, A., & Tang, Z. (2014). Fast approximate L∞ minimization: speeding up robust regression. Computational Statistics & Data Analysis, 77, 25-37. DOI Scopus12 WoS11
  2014	Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2014). A scalable stagewise approach to large-margin multiclass loss-based boosting. IEEE Transactions on Neural Networks and Learning Systems, 25(5), 1002-1013. DOI Scopus8 WoS9 Europe PMC2
  2013	Li, X., Dick, A., Shen, C., Van Den Hengel, A., & Wang, H. (2013). Incremental learning of 3D-DCT compact representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), 863-881. DOI Scopus76 WoS62 Europe PMC6
  2013	Luo, L., Shen, C., Zhang, C., & Van Den Hengel, A. (2013). Shape similarity analysis by self-tuning locally constrained mixed-diffusion. IEEE Transactions on Multimedia, 15(5), 1174-1183. DOI Scopus18 WoS16
  2013	Shen, C., Li, H., & Van Den Hengel, A. (2013). Fully corrective boosting with arbitrary loss and regularization. Neural Networks, 48, 44-58. DOI Scopus7 WoS5 Europe PMC2
  2013	Li, X., Dick, A., Shen, C., Zhang, Z., Van Den Hengel, A., & Wang, H. (2013). Visual tracking with spatio-temporal Dempster-Shafer information fusion. IEEE Transactions on Image Processing, 22(8), 3028-3040. DOI Scopus27 WoS28 Europe PMC4
  2013	Shen, F., Shen, C., Van Den Hengel, A., & Tang, Z. (2013). Approximate least trimmed sum of squares fitting and applications in image analysis. IEEE Transactions on Image Processing, 22(5), 1836-1847. DOI Scopus26 WoS19
  2013	Li, X., Hu, W., Shen, C., Dick, A., & Zhang, Z. (2013). Context-aware hypergraph construction for robust spectral clustering. IEEE Transactions on Knowledge & Data Engineering, 26(10), 1-9. DOI Scopus30 WoS29
  2013	Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Van Den Hengel, A. (2013). A survey of appearance models in visual object tracking. ACM Transactions on Intelligent Systems and Technology, 4(58), 1-48. DOI Scopus543 WoS485
  2013	Shen, C., Wang, P., Paisitkriangkrai, S., & Van Den Hengel, A. (2013). Training effective node classifiers for cascade classification. International Journal of Computer Vision, 103(3), 326-347. DOI Scopus26 WoS21
  2012	Shen, C., Kim, J., Wang, L., & Van Den Hengel, A. (2012). Positive semidefinite metric learning using boosting-like algorithms. Journal of Machine Learning Research (Print), 13(0), 1007-1036. Scopus67 WoS51
  2012	Wang, P., Shen, C., Barnes, N., & Zheng, H. (2012). Fast and robust object detection using asymmetric totally-corrective boosting. IEEE Transactions on Neural Networks and Learning Systems, 23(1), 33-46. DOI Scopus30 WoS27 Europe PMC12
  2012	Shen, C., Wang, P., Shen, F., & Wang, H. (2012). UBoost: Boosting with the Universum. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4), 825-832. DOI Scopus38 WoS34 Europe PMC1
  2011	Shen, C., Paisitkriangkrai, S., & Zhang, J. (2011). Efficiently learning a detection cascade with sparse eigenvectors. IEEE Transactions on Image Processing, 20(1), 22-35. DOI Scopus25 WoS20 Europe PMC3
  2011	Paisitkriangkrai, S., Shen, C., & Zhang, J. (2011). Incremental training of a detector using online sparse eigendecomposition. IEEE Transactions on Image Processing, 20(1), 213-226. DOI Scopus13 WoS9 Europe PMC2
  2010	Shen, C., Kim, J., & Wang, H. (2010). Generalized kernel-based visual tracking. IEEE Transactions on Circuits and Systems for Video Technology, 20(1), 119-130. DOI Scopus80 WoS64
  2010	Shen, C. (2010). On the dual formulation of boosting algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12), 2216-2231. DOI
  2010	Shen, C., & Li, H. (2010). Boosting through optimization of margin distributions. IEEE Transactions on Neural Networks, 21(4), 659-666. DOI
  2010	Shen, C., Kim, J., & Wang, L. (2010). Scalable large-margin Mahalanobis distance metric learning. IEEE Transactions on Neural Networks, 21(9), 1524-1530. DOI
  2010	Zhou, L., Wang, L., & Shen, C. (2010). Feature selection with redundancy-constrained class separability. IEEE Transactions on Neural Networks, 21(5), 853-858. DOI
  2010	Li, H., & Shen, C. (2010). Interactive color image segmentation with linear programming. Machine Vision and Applications, 21(4), 403-412. DOI
  2008	Paisitkriangkrai, S., Shen, C., & Zhang, J. (2008). Performance evaluation of local features in human classification and detection. IET Computer Vision, 2(4), 236-246. DOI Scopus39 WoS32
  2008	Paisitkriangkrai, S., Shen, C., & Zhang, J. (2008). Fast pedestrian detection using a cascade of boosted covariance features. IEEE Transactions on Circuits and Systems for Video Technology, 18(8), 1140-1151. DOI Scopus111
  2008	Shen, C., Li, H., & Brooks, M. (2008). Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition, 41(12), 3644-3652. DOI Scopus21 WoS20
  2007	Wang, H., Suter, D., Schindler, K., & Shen, C. (2007). Adaptive object tracking based on an effective appearance filter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(9), 1661-1667. DOI Scopus178 WoS122 Europe PMC14
  2007	Shen, C., Brooks, M., & Van Den Hengel, A. (2007). Fast global kernel density mode seeking: Applications to localization and tracking. IEEE Transactions on Image Processing, 16(5), 1457-1469. DOI Scopus68 WoS50 Europe PMC5
  2004	Lin, Z., Lu, J., Shen, C., Qiu, X., & Xu, B. (2004). Active control of radiation from a piston set in a rigid sphere. Journal of the Acoustical Society of America, 115(6), 2954-2963. DOI Scopus15 Europe PMC2
  —	Zhuang, B., Liu, L., Shen, C., & Reid, I. (n.d.). Towards Context-aware Interaction Recognition.
  —	Zhuang, B., Shen, C., & Reid, I. (n.d.). Training Compact Neural Networks with Binary Weights and Low Precision Activations.
  —	Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). Real-time Semantic Image Segmentation via Spatial Sparsity.
  —	Deng, R., Zhao, T., Shen, C., & Liu, S. (n.d.). Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks.
  —	Zhuang, B., Wu, Q., Shen, C., Reid, I., & Hengel, A. V. D. (n.d.). Care about you: towards large-scale human-centric visual relationship detection.
  —	Qiao, R., Liu, L., Shen, C., & Hengel, A. V. D. (n.d.). Visually Aligned Word Embeddings for Improving Zero-shot Learning.
  —	Liu, W., Chen, X., Shen, C., Yu, J., Wu, Q., & Yang, J. (n.d.). Robust Guided Image Filtering.
  —	Wang, P., Liu, L., Shen, C., Hengel, A. V. D., & Shen, H. T. (n.d.). Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution.
  —	Lin, G., Liu, F., Shen, C., Wu, J., & Shen, H. T. (n.d.). Structured Learning of Binary Codes with Column Generation.
  —	Liu, F., & Shen, C. (n.d.). Learning Deep Convolutional Features for MRI Based Alzheimer's Disease Classification.
  —	Shen, C., & Liu, F. (n.d.). From Kernel Machines to Ensemble Learning.
  —	Shen, F., & Shen, C. (n.d.). Generic Image Classification Approaches Excel on Face Recognition.
  —	Shen, C., Paisitkriangkrai, S., & Hengel, A. V. D. (n.d.). A Direct Approach to Multi-class Boosting and Extensions.
  —	Shen, C., Li, H., & Barnes, N. (n.d.). Totally Corrective Boosting for Regularized Risk Minimization.
  —	Zheng, Y., Shen, C., Hartley, R., & Huang, X. (n.d.). Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns.
  —	Hao, Z., Shen, C., Barnes, N., & Wang, B. (n.d.). Totally Corrective Multiclass Boosting with Binary Weak Learners.
  —	Li, H., Shen, C., & Shi, Q. (n.d.). Real-time Visual Tracking Using Sparse Representation.
  —	Shen, C., Wang, P., & Hengel, A. V. D. (n.d.). Optimally Training a Cascade Classifier.
  —	Wu, L., Shen, C., & Hengel, A. V. D. (n.d.). PersonNet: Person Re-identification with Deep Convolutional Neural Networks.
  —	Mao, X. -J., Shen, C., & Yang, Y. -B. (n.d.). Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections.
  —	Wu, L., Shen, C., & Hengel, A. V. D. (n.d.). Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach.
  —	Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). Bridging Category-level and Instance-level Semantic Image Segmentation.
  —	Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks.
  —	Li, H., & Shen, C. (n.d.). Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs.
  —	Wang, X., Man, Z., You, M., & Shen, C. (n.d.). Adversarial Generation of Training Examples: Applications to Moving Vehicle License Plate Recognition.
  —	Cao, J., Liu, L., Wang, P., Huang, Z., Shen, C., & Shen, H. T. (n.d.). Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps.
  —	Tian, Z., Chen, H., & Shen, C. (n.d.). DirectPose: Direct End-to-End Multi-Person Pose Estimation.
  —	Xiong, H., Lu, H., Liu, C., Liu, L., Shen, C., & Cao, Z. (n.d.). From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting.
  —	Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (n.d.). SOLOv2: Dynamic and Fast Instance Segmentation.
  —	Yin, W., Wang, X., Shen, C., Liu, Y., Tian, Z., Xu, S., . . . Renyin, D. (n.d.). DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data.
  —	Wang, P., Li, H., & Shen, C. (n.d.). Towards End-to-End Text Spotting in Natural Scenes.
  —	Zhang, H., Li, Y., Wang, P., Liu, Y., & Shen, C. (n.d.). RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks.
  —	Lu, H., Dai, Y., Shen, C., & Xu, S. (n.d.). Index Network.
  —	Zhuang, B., Shen, C., Tan, M., Chen, P., Liu, L., & Reid, I. (n.d.). Structured Binary Neural Networks for Image Recognition.
  —	Zhuang, B., Liu, J., Tan, M., Liu, L., Reid, I., & Shen, C. (n.d.). Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations.
  —	He, T., Shen, C., & Hengel, A. V. D. (n.d.). DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution.
  —	Wang, H., Chen, P., Zhuang, B., & Shen, C. (n.d.). Fully Quantized Image Super-Resolution Networks.
  —	Dai, Y., Lu, H., & Shen, C. (n.d.). Learning Affinity-Aware Upsampling for Deep Image Matting.
  —	Wang, Y., Xu, Z., Wang, X., Shen, C., Cheng, B., Shen, H., & Xia, H. (n.d.). End-to-End Video Instance Segmentation with Transformers.
  —	Chen, H., Shen, C., & Tian, Z. (n.d.). Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions.
  —	Zhang, J., Xie, Y., Xia, Y., & Shen, C. (n.d.). DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets.
  —	Shu, C., Liu, Y., Gao, J., Xu, L., & Shen, C. (n.d.). Channel-wise Distillation for Semantic Segmentation.
  —	Tian, Z., Shen, C., Wang, X., & Chen, H. (n.d.). BoxInst: High-Performance Instance Segmentation with Box Annotations.
  —	Yin, W., Zhang, J., Wang, O., Niklaus, S., Mai, L., Chen, S., & Shen, C. (n.d.). Learning to Recover 3D Scene Shape from a Single Image.
  —	Wang, X., Zhang, R., Shen, C., Kong, T., & Li, L. (n.d.). Dense Contrastive Learning for Self-Supervised Visual Pre-Training.
  —	Tian, Z., Shen, C., Chen, H., & He, T. (n.d.). FCOS: A simple and strong anchor-free object detector.

• Conference Papers

  Year	Citation
  2020	Wang, X., Liu, Y., Shen, C., Ng, C. C., Luo, C., Jin, L., . . . Wang, L. (2020). On the general value of evidence, and bilingual scene-text visual question answering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) (pp. 10123-10132). online: IEEE. DOI Scopus2
  2020	Pang, G., Yan, C., Shen, C., van den Hengel, A., & Bai, X. (2020). Self-trained deep ordinal regression for end-to-end video anomaly detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) (pp. 12170-12179). online: IEEE. DOI Scopus1
  2020	Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Van Den Hengel, A. (2020). V-PROM: A benchmark for visual reasoning using visual progressive matrices. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Vol. 34 (pp. 12071-12078). Palo Alto, CA: Association for the Advancement of Artificial Intelligence. DOI
  2020	Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature. DOI
  2020	He, T., Liu, Y., Shen, C., Wang, X., & Sun, C. (2020). Instance-Aware Embedding for Point Cloud Instance Segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12375 LNCS (pp. 255-270). Switzerland: Springer Nature. DOI
  2020	Yu, C., Liu, Y., Gao, C., Shen, C., & Sang, N. (2020). Representative Graph Neural Network. In Proceedings of the 16th European Conference on Computer Vision (ECCV) Vol. VII (pp. 379-396). Switzerland: Springer Nature. DOI
  2020	Nekrasov, V., Chen, H., Shen, C., & Reid, I. D. (2020). Architecture Search of Dynamic Cells for Semantic Video Segmentation.. In WACV (pp. 1959-1968). online: IEEE.
  2020	Liao, Z., Liu, L., Wu, Q., Teney, D., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). Medical Data Inquiry Using a Question Answering Model. In Proceedings of the 2020 17th International Symposium on Biomedical Imaging Vol. 2020-April (pp. 1490-1493). online: IEEE. DOI
  2020	Qi, Y., Wu, Q., Anderson, P., Wang, X., Wang, W. Y., Shen, C., & Van Den Hengel, A. (2020). Reverie: Remote embodied visual referring expression in real indoor environments. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9979-9988). online: IEEE. DOI Scopus4
  2020	Liao, Z., Wu, Q., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering.. In L. Cappellato, C. Eickhoff, N. Ferro, & A. Névéol (Eds.), CLEF (Working Notes) Vol. 2696 (pp. 1-14). online: CEUR-WS.org.
  2020	Wang, H., Wu, Q., & Shen, C. (2020). Soft Expert Reward Learning for Vision-and-Language Navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12354 LNCS (pp. 126-141). Switzerland: Springer Nature. DOI
  2019	Wang, W., Xie, E., Song, X., Zang, Y., Wang, W., Lu, T., . . . Shen, C. (2019). Efficient and accurate arbitrary-shaped text detection with pixel aggregation network. In Proceedings of the IEEE International Conference on Computer Vision (ICCV) Vol. 2019-October (pp. 8439-8448). online: IEEE. DOI Scopus12
  2019	Xiong, H., Lu, H., Liu, C., Liu, L., Cao, Z., & Shen, C. (2019). From open set to closed set: Counting objects by spatial divide-and-conquer. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 8361-8370). online: IEEE. DOI Scopus16 WoS5
  2019	Yan, Q., Gong, D., Shi, Q., Van Den Hengel, A., Shen, C., Reid, I., & Zhang, Y. (2019). Attention-guided network for ghost-free high dynamic range imaging. In Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 1751-1760). online: IEEE. DOI Scopus14 WoS7
  2019	Zhang, J., Wu, Q., Zhang, J., Shen, C., & Lu, J. (2019). Mind your neighbours: Image annotation with metadata neighbourhood graph co-attention networks. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 2951-2959). online: IEEE. DOI Scopus3 WoS1
  2019	Wang, P., Wu, Q., Cao, J., Shen, C., Gao, L., & Hengel, A. (2019). Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 1960-1968). online: IEEE. DOI Scopus24 WoS5
  2019	Zhang, C., Lin, G., Liu, F., Yao, R., & Shen, C. (2019). CANET: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 5212-5221). online: IEEE. DOI Scopus23
  2019	Bian, J. -W., Li, Z., Wang, N., Zhan, H., Shen, C., Cheng, M. -M., & Reid, I. (2019). Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alche-Buc, E. Fox, & R. Garnett (Eds.), ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019) Vol. 32 (pp. 1-12). online: NIPS Proceedings. Scopus20 WoS1
  2019	Yan, C., Pang, G., Bai, X., Shen, C., Zhou, J., & Hancock, E. (2019). Deep hashing by discriminating hard examples. In MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia (pp. 1535-1542). online: ACM. DOI Scopus2
  2019	Zhang, J., Xie, Y., Zhang, P., Chen, H., Xia, Y., & Shen, C. (2019). Light-weight hybrid convolutional network for liver tumor segmentation. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2019-August (pp. 4271-4277). online: AAAI Press. DOI Scopus14
  2019	Xie, Y., Lu, H., Zhang, J., Shen, C., & Xia, Y. (2019). Deep segmentation-emendation model for gland instance segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11764 LNCS (pp. 469-477). Switzerland: Springer. DOI Scopus4
  2019	Li, H., Wang, P., Shen, C., & Van Den Hengel, A. (2019). Visual question answering as reading comprehension. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 6312-6321). online: IEEE. DOI Scopus7 WoS3
  2019	Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2019). Structured binary neural networks for accurate image classification and semantic segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 413-422). online: IEEE. DOI Scopus18 WoS6
  2019	Wang, X., Liu, S., Shen, X., Shen, C., & Jia, J. (2019). Associatively segmenting instances and semantics in point clouds. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 4091-4100). online: IEEE. DOI Scopus23 WoS8
  2019	He, T., Shen, C., Tian, Z., Gong, D., Sun, C., & Yan, Y. (2019). Knowledge adaptation for efficient semantic segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 578-587). online: IEEE. DOI Scopus16 WoS2
  2019	Tian, Z., He, T., Shen, C., & Yan, Y. (2019). Decoders matter for semantic segmentation: Data-dependent decoding enables flexible feature aggregation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 3121-3130). online: IEEE. DOI Scopus34 WoS21
  2019	Nekrasov, V., Shen, C., & Reid, I. D. (2019). Template-Based Automatic Search of Compact Semantic Segmentation Architectures.. In Proceedings of the 2020 IEEE Winter Conferene on Applications of Computer Vision (WACV) Vol. abs/1904.02365 (pp. 1969-1978). online: IEEE. DOI
  2019	Tian, Z., Shen, C., Chen, H., & He, T. (2019). FCOS: Fully convolutional one-stage object detection. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 9626-9635). online: IEEE. DOI Scopus153 WoS47
  2019	Wei, X. S., Zhang, C. L., Liu, L., Shen, C., & Wu, J. (2019). Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11362 (pp. 575-591). Switzerland: Springer. DOI Scopus5 WoS5
  2019	Yin, W., Liu, Y., Shen, C., & Yan, Y. (2019). Enforcing geometric constraints of virtual normal for depth prediction. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2019) Vol. 2019-October (pp. 5683-5692). Piscataway, NJ: IEEE. DOI Scopus28 WoS3
  2019	Zhang, X., Cao, J., Shen, C., & You, M. (2019). Self-training with progressive augmentation for unsupervised cross-domain person re-identification. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 8221-8230). online: IEEE. DOI Scopus12 WoS4
  2019	Zhang, H., Shen, C., Li, Y., Cao, Y., Liu, Y., & Yan, Y. (2019). Exploiting temporal consistency for real-time video depth estimation. In Proceedings of the IEEE International Conference on Computer Vision (ICCV) Vol. 2019-October (pp. 1725-1734). online: IEEE. DOI Scopus7 WoS4
  2019	Lu, H., Dai, Y., Shen, C., & Xu, S. (2019). Indices matter: Learning to index for deep image matting. In Proceedings of the IEEE/CVF International Conference on Computer Vision Vol. 2019-October (pp. 3265-3274). Seoul, South Korea: IEEE. DOI Scopus9 WoS3
  2019	Pang, G., Shen, C., & Van Den Hengel, A. (2019). Deep anomaly detection with deviation networks. In KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 353-362). New York: Association of Computing Machinery. DOI Scopus11 WoS3
  2019	Cai, M., Shen, C., & Reid, I. (2019). A hybrid probabilistic model for camera relocalization. In Proceedings of the 29th British Machine Vision Conference (BMVC 2018) (pp. 1-12). Newcastle upon Tyne, UK: BMVC Press. Scopus2
  2019	Nekrasov, V., Dharmasiri, T., Spek, A., Drummond, T., Shen, C., & Reid, I. (2019). Real-time joint semantic segmentation and depth estimation using asymmetric annotations. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA) Vol. 2019-May (pp. 7101-7107). Montreal, Canada: IEEE. DOI Scopus12 WoS7
  2019	Nekrasov, V., Chen, H., Shen, C., & Reid, I. D. (2019). Fast neural architecture search of compact semantic segmentation models via auxiliary cells. In Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) Vol. 2019-June (pp. 9126-9135). online: Computer Vision Foundation / IEEE. DOI Scopus18 WoS1
  2019	Li, H., Wang, P., Shen, C., & Zhang, G. (2019). Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. In THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE (pp. 8610-8617). online: AAAI. Scopus22 WoS4
  2019	Li, R., Xian, K., Shen, C., Cao, Z., Lu, H., & Hang, L. (2019). Deep attention-based classification network for robust depth prediction. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11364 (pp. 663-678). Cham, Switzerland: Springer. DOI Scopus7
  2018	Cao, I., Guo, Y., Wu, Q., Shen, C., Huang, J., & Tan, M. (2018). Adversarial learning with local coordinate coding. In 35th International Conference on Machine Learning, ICML 2018 Vol. 2 (pp. 1104-1117). online: PMLR. Scopus9
  2018	He, T., Tian, Z., Huang, W., Shen, C., Qiao, Y., & Sun, C. (2018). An end-to-end textspotter with explicit alignment and attention. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)) (pp. 5020-5029). Salt Lake City, UT: IEEE. DOI Scopus53 WoS35
  2018	Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2018). Towards effective low-bitwidth convolutional neural networks. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 7920-7928). Piscataway, NJ.: IEEE. DOI Scopus40 WoS14
  2018	Zhuang, B., Wu, Q., Shen, C., Reid, I., & van den Hengel, A. (2018). Parallel attention: a unified framework for visual object discovery through dialogs and queries. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 4252-4261). Salt Lake City, UT: IEEE. DOI Scopus18 WoS5
  2018	Zhang, P., Liu, W., Lu, H., & Shen, C. (2018). Salient object detection by lossless feature reflection. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2018-July (pp. 1149-1155). online: ACM. DOI Scopus14
  2018	Dong, L., Gan, Y., Mao, X., Yang, Y., & Shen, C. (2018). Learning Deep Representations Using Convolutional Auto-Encoders with Symmetric Skip Connections. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Vol. 2018-April (pp. 3006-3010). online: IEEE. DOI Scopus7 WoS2
  2018	Zhang, J., Wu, Q., Shen, C., Zhang, J., Lu, J., & van den Hengel, A. (2018). Goal-oriented visual question generation via intermediate rewards. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision - ECCV 2018: Proceedings, Part V Vol. Lecture Notes in Computer Science; vol. 11209 (pp. 189-204). Munich: Springer. DOI Scopus3 WoS3
  2018	Nekrasov, V., Shen, C., & Reid, I. D. (2018). Light-Weight RefineNet for Real-Time Semantic Segmentation. In BMVC (pp. 1-15). Northumbria University, Newcastle upon Tyne: BMVA Press. Scopus10
  2018	Ma, C., Shen, C., Dick, A., Wu, Q., Wang, P., Van Den Hengel, A., & Reid, I. (2018). Visual Question Answering with memory-augmented network. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 6975-6984). Salt Lake City, Utah: IEEE. DOI Scopus27 WoS8
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  2008	Paisitkriangkrai, S., Shen, C., & Zhang, J. (2008). Real-time pedestrian detection using a boosted multi-layer classifier. In VS 2008 - The Eighth International Workshop on Visual Surveillance, in conjunction with European Conference on Computer Vision (ECCV'08) (pp. 1-8). Marseille, France.
  2008	Shen, C., Welsh, A., & Wang, L. (2008). PSDBoost: matrix-generation linear programming for positive semidefinite matrices learning. In Advances in Neural Information Processing Systems 21 (pp. 1473-1480). Vancouver, British Columbia, Canada: Curran Associates, Inc.
  2008	Shen, C., Paisitkriangkrai, S., & Zhang, J. (2008). Face detection from few training examples. In Proceedings of IEEE International Conference on Image Processing (ICiP'08) (pp. 2764-2767). Online: IEEE. DOI Scopus11 WoS9
  2008	Lu, Y., Wang, L., Hartley, R., Li, H., & Shen, C. (2008). Multi-view human motion capture with an improved deformation skin model. In Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA'08) (pp. 420-427). Online: IEEE. DOI
  2008	Kim, J., Shen, C., & Wang, L. (2008). Learning cascaded reduced - set SVMs using linear programming. In Digital Image Computing - Techniques and Applications (DICTA'08) (pp. 619-626). Online: IEEE. DOI
  2008	Shen, C., Li, H., & Brooks, M. (2008). Self-calibrating cameras using semidefinite programming. In Proceedings of the International Conference on Digital Image Computing - Techniques and Applications (DICTA'08) (pp. 436-441). Online: IEEE. DOI
  2008	Li, H., & Shen, C. (2008). Boosting the minimum margin: LPBoost vs. AdaBoost. In Proceedings International Conference on Digital Image Computing - Techniques and Applications (DICTA'08) (pp. 533-539). Online: IEEE. DOI
  2007	Paisitkriangkrai, S., Shen, C., & Zhang, J. (2007). An experimental evaluation of local features for pedestrian classification. In 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (pp. 53-60). Online: IEEE Computer Society. DOI
  2007	Shen, C., & Wen, Z. (2007). Color image labelling using linear programming. In Proceedings International Conference on Digital Image Computing - Techniques and Applications (DICTA'07) (pp. 239-244). Online: IEEE. DOI
  2007	Nguyen, Q., Robles-Kelly, A., & Shen, C. (2007). Kernel-based tracking from a probabilistic viewpoint. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07) (pp. 1-8). Online: IEEE. DOI
  2007	Shen, C., Li, H., & Brooks, M. (2007). Feature extraction using sequential semidefinite programming. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 430-437). CDROM: IEEE. DOI Scopus3
  2007	Shen, C., Li, H., & Brooks, M. (2007). A convex programming approach to the trace quotient problem. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4844 LNCS (PART 2) Vol. 4844 LNCS (pp. 227-235). Germany: Springer. DOI Scopus10 WoS12
  2006	Shen, C., Li, H., & Brooks, M. (2006). Classification-based likelihood functions for Bayesian tracking. In M. Piccardi, & T. Hintz (Eds.), Proceedings of AVSS 2006 (pp. CDROM1-CDROM6). CDROM: IEEE. DOI Scopus1
  2006	Nguyen, Q., Robles-Kelly, A., & Shen, C. (2006). Enhanced kernel-based tracking for monochromatic and thermographic video. In Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS'06) (pp. 1-6). Online: IEEE. DOI
  2006	Li, H., & Shen, C. (2006). An LMI approach for reliable PTZ camera self-calibration. In IEEE International Conference on Video and Signal based Surveillance (AVSS'06) (pp. 1-6). Online: IEEE. DOI
  2005	Shen, C., Van Den Hengel, A., & Brooks, M. (2005). Visual tracking via efficient kernel discriminant subspace learning. In C. Regazzoni, & F. De Natale (Eds.), Proceedings of the IEEE International Conference on Image Processing Vol. 2 (pp. 1-4). USA: IEEE. DOI Scopus7
  2005	Shen, C., Brooks, M., & Van Den Hengel, A. (2005). Augmented particle filtering for efficient visual tracking. In C. Regazzoni, & F. De Natale (Eds.), Proceedings of the IEEE International Conference on Image Processing Vol. 3 (pp. 1-4). USA: IEEE. DOI Scopus7 WoS3
  2005	Shen, C., Brooks, M., & Van Den Hengel, A. (2005). Fast global kernel density mode seeking with application to localisation and tracking. In S. Ma, & H. Shum (Eds.), Proceedings of the Tenth IEEE International Conference on Computer Vision Vol. II (pp. 1516-1523). Los Alamitos, California: IEEE. DOI Scopus35 WoS18
  2005	Shen, C., & Brooks, M. (2005). Adaptive over-relaxed mean shift. In A. Bouzerdoum, & A. Beghdadi (Eds.), Proceedings of the 8th International Symposium on Signal Processing and its Applications Vol. 2 (pp. 575-578). USA: IEEE. DOI Scopus5
  2004	Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). Enhanced importance sampling: Unscented auxiliary particle filtering for visual tracking. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 180-191). Berlin, Germany: Springer. DOI Scopus9 WoS5
  2004	Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). 2D articulated tracking with dynamic Bayesian networks. In D. Wei, H. Wang, Z. Peng, A. Kara, & Y. He (Eds.), Proceedings of the 4th International Conference on Computer and Information Technology 2004 (pp. 1-7). Los Alamitos, California, USA: IEEE. DOI Scopus8 WoS6
  2003	Shen, C., Van Den Hengel, A., & Dick, A. (2003). Probabilistic multiple cue intergration for particle filter based tracking. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Proceedings of the 7th Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 399-408). Australia: CSIRO.

Check http://cs.adelaide.edu.au/~chhshen/teaching.html for updated information

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• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2020	Principal Supervisor	Text Visual Question Answering	Doctor of Philosophy	Doctorate	Full Time	Mr Xinyu Wang
  2020	Principal Supervisor	Total Scene Understanding Using Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Yunzhi Zhuge
  2020	Principal Supervisor	High performance deep learning based object detection	Master of Philosophy	Master	Full Time	Mr Bowen Zhang
  2020	Principal Supervisor	Deep learning for high-performance instance recognition	Doctor of Philosophy	Doctorate	Full Time	Mr Xinlong Wang
  2020	Principal Supervisor	Computer vision, object detection	Master of Philosophy	Master	Full Time	Mr Weian Mao
  2020	Principal Supervisor	Weakly Supervised Semantic Segmentation	Doctor of Philosophy	Doctorate	Full Time	Mr Choubo Ding
  2019	Co-Supervisor	Computer Vision Geometry Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Jiawang Bian
  2019	Principal Supervisor	Semantic 3D Scene Reconstruction	Doctor of Philosophy	Doctorate	Full Time	Mr Libo Sun
  2018	Principal Supervisor	Towards Real-World Application: Fast High-performance Semantic Segmentation	Doctor of Philosophy	Doctorate	Full Time	Mr Zhi Tian
  2018	Principal Supervisor	Semantic Understanding Based on 3D Data	Doctor of Philosophy	Doctorate	Full Time	Mr Wei Yin
  2018	Principal Supervisor	Multi-modality Data Analysis Using Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Hu Wang
  2018	Principal Supervisor	Instance Level Object Segmentation in Video using Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Ms Yutong Dai
  2018	Principal Supervisor	High Performance Per Pixel Prediction Using Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Ms Yifan Liu
  2017	Principal Supervisor	Intelligent Dialogue Agent for Software Engineering	Doctor of Philosophy	Doctorate	Full Time	Mr Hao Chen

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2018 - 2019	Principal Supervisor	High-performance Object Detection and Tracking using Deep Learning	Master of Philosophy	Master	Full Time	Mr Xinyu Wang
  2017 - 2020	Principal Supervisor	Efficient Scene Parsing with Imagery and Point Cloud Data	Doctor of Philosophy	Doctorate	Full Time	Mr Tong He
  2017 - 2020	Co-Supervisor	Semantic Image Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches	Doctor of Philosophy	Doctorate	Full Time	Mr Vladimir Nekrasov
  2016 - 2020	Co-Supervisor	How Geometry Meets Learning in Pose Estimation	Doctor of Philosophy	Doctorate	Full Time	Mr Ming Cai
  2016 - 2017	Principal Supervisor	Deep Learning for Fine-Gained Visual Recognition	Master of Philosophy	Master	Full Time	Mr Teng Li
  2015 - 2017	Principal Supervisor	Sketch Image Recognition Using Deep Features	Master of Philosophy	Master	Full Time	Miss Yuchao Jiang
  2015 - 2019	Principal Supervisor	Context Learning and Weakly Supervised Learning for Semantic Segmentation	Doctor of Philosophy	Doctorate	Full Time	Mr Tong Shen
  2014 - 2016	Principal Supervisor	Deep Learning for Multi-label Scene Classification	Master of Philosophy	Master	Full Time	Mr Junjie Zhang
  2014 - 2017	Principal Supervisor	Deep Visual Representation for Weakly-supervised and Structured Output Tasks	Doctor of Philosophy	Doctorate	Full Time	Mr Yao Li
  2014 - 2018	Principal Supervisor	Text Detection and Recognition in Natural Scene Images	Doctor of Philosophy	Doctorate	Full Time	Mrs Hui Li
  2014 - 2018	Principal Supervisor	Towards Efficient Deep Neural Networks with Applications to Visual Recognition	Doctor of Philosophy	Doctorate	Full Time	Dr Bohan Zhuang
  2013 - 2018	Principal Supervisor	Deep Learning Based RGB-D Vision Tasks	Doctor of Philosophy	Doctorate	Full Time	Mr Yuanzhouhan Cao
  2013 - 2017	Principal Supervisor	Dynamic Scene Understanding with Applications to Traffic Monitoring	Doctor of Philosophy	Doctorate	Full Time	Mr Qichang Hu
  2013 - 2018	Principal Supervisor	Mid-level Representations for Action Recognition and Zero-shot Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Ruizhi Qiao
  2012 - 2014	Principal Supervisor	Structured Output Prediction and Binary Code Learning in Computer Vision	Doctor of Philosophy	Doctorate	Full Time	Dr Guosheng Lin
  2012 - 2014	Principal Supervisor	Hypergraph Modeling for Saliency Detection and Beyond	Master of Engineering Science	Master	Full Time	Mr Yao Li
  2011 - 2015	Principal Supervisor	Learning Structured Prediction Models in Computer Vision	Doctor of Philosophy	Doctorate	Full Time	Miss Fayao Liu

• Position: Professor
• Phone: 83136745
• Email: chunhua.shen@adelaide.edu.au
• Fax: 8313 4366
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 5
• Org Unit: School of Computer Science