Research Interests
Computer VisionMr Qi Chen
Grant-Funded Researcher (B)
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Qi Chen is currently a postdoctoral research fellow (level B) at the Australian Institute for Machine Learning (AIML), Adelaide University, working with Prof. Anton van den Hengel and A/Prof. Qi Wu. He obtained his PhD in 2024 from the University of Adelaide , under the supervision of A/Prof. Qi Wu and Asst. Prof. Yuankai Qi.
He focuses mainly on Generative AI, Multimodal Large Language Models, and Medical Image Analysis. He has 30+ peer-reviewed publications, including IEEE TPAMI/ TIP/ TMM, CVPR, NeurIPS, ICCV, etc. His research has attracted 1,800+ citations (Google Scholar, h-index 20, i10-index 28). His career Field-Weighted Citation Impact (FWCI) is 2.96, indicating that the works are cited at ∼3 times the global average rate for papers of a similar type, topic, and age (SciVal 2016-25). 44% of his papers are in the top 10% most-cited worldwide (SciVal). He serves as a reviewer for top-tier journals/conferences, including Nature Communications, IEEE-TPAMI, IJCV, CVPR, ICML, NeurIPS, ICLR, ICCV, etc.
Dr. Qi Chen is currently a postdoctoral research fellow at the Australian Institute for Machine Learning (AIML), the University of Adelaide, working with Prof. Anton van den Hengel and A/Prof. Qi Wu. He focuses mainly on Controllable Generative AI for Multimodality, (Multimodal) Large Language Models (LLMs), and Multimodal AI for Real-world Applications/Domains (e.g., Medicine, Architecture, and the Internet). He has over 30 peer-reviewed publications, most in flagship journals/conference proceedings, including IEEE-TPAMI/TIP/TMM, CVPR, NeurIPS, ICCV, etc. He also serves as a reviewer for top-tier journals/conference proceedings, including Nature Communications, IEEE-TPAMI, IJCV, CVPR, ICML, NeurIPS, ICLR, ICCV, ECCV, etc.
| Date | Position | Institution name |
|---|---|---|
| 2023 - ongoing | Postdoc | University of Adelaide |
| 2021 - 2024 | Ph. D. Student | University of Adelaide |
| Year | Citation |
|---|---|
| 2026 | Tao, Z., Li, L., Chen, Q., Tu, Y., Zha, Z. J., Beheshti, A., . . . Yang, M. H. (2026). Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization. International Journal of Computer Vision, 134(5), 18 pages. |
| 2026 | Li, H., Chen, Q., Kalkofen, D., & Chen, H. T. (2026). OUGS: Active View Selection via Object-aware Uncertainty Estimation in 3DGS. Computer Graphics Forum, 12 pages. |
| 2026 | Guan, J., Guo, J., Chen, Q., Chen, J., Cai, Y., He, Y., . . . Xie, Y. (2026). A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis. Scientific Data, 13(1), 14 pages. |
| 2025 | Wang, C., Xie, Y., Chen, Q., Zhou, Y., & Wu, Q. (2025). A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation. Pattern Recognition, 173, 112701. Scopus2 WoS2 |
| 2025 | Nguyen, D., Ho, M. K., Ta, H. D., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs.. CoRR, abs/2505.00744. |
| 2025 | Shu, Y., Liu, Y., Cao, X., Chen, Q., Zhang, B., Zhou, Z., . . . Liu, L. (2025). Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. Transactions on Machine Learning Research, 2025-June. |
| 2025 | Ge, J., Zhang, B., Liu, A., Phan, V. M. H., Chen, Q., Shu, Y., & Zhao, Y. (2025). CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation. Pattern Recognition, 167, 111707. |
| 2025 | Zeng, R., Zhuo, Y., Li, J., Yang, Y., Wu, H., Chen, Q., . . . Leung, V. C. M. (2025). Improving Video Moment Retrieval by Auxiliary Moment-Query Pairs With Hyper-Interaction. IEEE Transactions on Circuits and Systems for Video Technology, 35(5), 3940-3954. |
| 2025 | Tan, M., Chen, Q., Huang, Z., Wu, Q., Li, Y., & Zhou, J. (2025). Auto-3D-house Design from Structured User Requirements. MACHINE INTELLIGENCE RESEARCH, 22(2), 18 pages. |
| 2025 | Zhang, J., Chen, X., Yang, B., Guan, Q., Chen, Q., Chen, J., . . . Xia, Y. (2025). Advances in attention mechanisms for medical image segmentation. Computer Science Review, 56, 18 pages. Scopus45 WoS25 |
| 2024 | Chen, Q., Zhao, R., Wang, S., Phan, V. M. H., Hengel, A. V. D., Verjans, J., . . . Wu, Q. (2024). A Survey of Medical Vision-and-Language Applications and Their Techniques.. CoRR, abs/2411.12195. |
| 2024 | Guo, Y., Tan, M., Deng, Z., Wang, J., Chen, Q., Cao, J., . . . Chen, J. (2024). Towards Lightweight Super-Resolution With Dual Regression Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 8365-8379. Scopus8 WoS5 Europe PMC1 |
| 2022 | Guo, Y., Zheng, Y., Tan, M., Chen, Q., Li, Z., Chen, J., . . . Huang, J. (2022). Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10), 6501-6516. Scopus38 WoS28 Europe PMC15 |
| 2021 | Tan, M., Xu, S., Zhang, S., & Chen, Q. (2021). A review on deep adversarial visual generation. Journal of Image and Graphics, 26(12), 2751-2766. Scopus3 |
| 2020 | Chen, Q., Wu, Q., Chen, J., Wu, Q., Van Den Hengel, A., & Tan, M. (2020). Scripted Video Generation with a Bottom-Up Generative Adversarial Network. IEEE Transactions on Image Processing, 29, 7454-7467. Scopus35 WoS17 |
| 2019 | Guo, Y., Chen, Q., Chen, J., Wu, Q., Shi, Q., & Tan, M. (2019). Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. IEEE Transactions on Multimedia, 21(11), 2726-2737. Scopus68 WoS54 |
| Year | Citation |
|---|---|
| 2026 | Huy, T. D., Shoby, A., Tran, S., Xie, Y., Chen, Q., Nguyen, P. L., . . . Phan, M. H. (2026). PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. In J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, . . . J. Park (Eds.), Lecture Notes in Computer Science Vol. 15964 LNCS (pp. 487-497). SOUTH KOREA, Daejeon: SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2026 | Chen, X., Chen, Q., Phan, M. H., Wu, Q., Chen, J., & Xie, Y. (2026). Towards Generalizable Clinical Knowledge Discovery for Radiology Report Generation. In Lecture Notes in Computer Science Vol. 16241 LNCS (pp. 379-389). Springer Nature Switzerland. DOI |
| 2026 | Ye, D., Chen, Q., Chen, J., & Xie, Y. (2026). Image-Guided Liver Tumor Synthesis. In Lecture Notes in Computer Science Vol. 16241 LNCS (pp. 615-625). Springer Nature Switzerland. DOI |
| 2026 | Ma, J., Luo, H., Chen, Q., Qi, Y., Sun, Y., Beheshti, A., . . . Yang, M. H. (2026). Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos. In Proceedings of the Aaai Conference on Artificial Intelligence Vol. 40 (pp. 7773-7781). Association for the Advancement of Artificial Intelligence (AAAI). DOI |
| 2025 | Ren, X., Chen, Q., & Liu, L. (2025). Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity. In Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Findings of Emnlp 2025 (pp. 11584-11605). Association for Computational Linguistics. DOI |
| 2025 | Wang, C., Chen, Q., Xie, Y., & Wu, Q. (2025). Filling in the Missing Piece: Advancing Automated Radiology Report Generation with Clinical Insights. In Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025 (pp. 435-442). AUSTRALIA, Adelaide: IEEE COMPUTER SOC. DOI |
| 2025 | Wang, C., Chen, Q., To, M. -S., Kutaiba, N., Yoo, J. -G., Xie, Y., & Wu, Q. (2025). X-Gen: Enhancing Radiology Report Generation via LLM-Driven Data Augmentation and Decoupled Training. In Proceedings of the International Conference on Digital Image Computing Techniques and Applications (pp. 450-457). United States: IEEE. DOI |
| 2025 | Bao, S., Xue, Z., Chen, Q., Ou, S., Beheshti, A., Sheng, Q. Z., . . . Qi, Y. (2025). CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 1598-1606). IRELAND, Dublin: ASSOC COMPUTING MACHINERY. DOI Scopus1 |
| 2025 | Nguyen, D., Ho, M. K., Ta, H., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. In J. Kwok (Ed.), Ijcai International Joint Conference on Artificial Intelligence (pp. 7670-7678). CANADA, Montreal: ASSOC COMPUTATIONAL LINGUISTICS-ACL. DOI Scopus2 |
| 2025 | Xu, H. M., Chen, Q., Wang, L., & Liu, L. (2025). Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 39 (pp. 8851-8859). Philadelphia, USA: Association for the Advancement of Artificial Intelligence (AAAI). DOI Scopus1 |
| 2025 | Chen, Q., Xie, Y., Wu, B., Chen, X., Ang, J., To, M. -S., . . . Wu, Q. (2025). Act Like a Radiologist: Radiology Report Generation Across Anatomical Regions. In Lecture Notes in Computer Science Vol. 15477 LNCS (pp. 36-52). Hanoi, Vietnam: Springer Nature Singapore. DOI |
| 2024 | Huang, Z., Chen, Q., Sung, L., Yang, Y., Wang, N., Wu, Q., & Tan, M. (2024). G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 10117-10126). WA, Seattle: IEEE COMPUTER SOC. DOI Scopus9 WoS3 |
| 2024 | Chen, Q., Zhang, B., Wang, G., & Wu, Q. (2024). Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), Advances in Neural Information Processing Systems Vol. 37 (pp. 24 pages). CANADA, Vancouver: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). Scopus3 |
| 2024 | Xie, Y., Chen, Q., Wang, S., To, M. S., Lee, I., Khoo, E. W., . . . Wu, Q. (2024). PairAug: What Can Augmented Image-Text Pairs Do for Radiology?. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 11652-11661). Seattle, Washington, USA: IEEE. DOI Scopus11 WoS6 |
| 2024 | Chen, Q., Pitawela, D., Zhao, C., Zhou, G., Chen, H. T., & Wu, Q. (2024). WebVLN: Vision-and-Language Navigation on Websites. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 1165-1173). Online: Association for the Advancement of Artificial Intelligence (AAAI). DOI Scopus16 WoS6 |
| 2023 | Deng, C., Chen, Q., Qin, P., Chen, D., & Wu, Q. (2023). Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. In Proceedings of the IEEE International Conference on Computer Vision (pp. 15602-15612). Online: IEEE. DOI Scopus43 WoS33 |
| 2023 | Chen, Q., Deng, C., & Wu, Q. (2023). Learning Distinct and Representative Modes for Image Captioning. In Advances in Neural Information Processing Systems Vol. 35 (pp. 14 pages). USA: Neural information processing systems foundation. Scopus21 WoS1 |
| 2023 | Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023). Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 1184-1193). Lisbon Portugal: ACM. DOI Scopus4 |
| 2023 | Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2023). Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 420-428). Lisbon, Portugal: ACM. DOI Scopus7 |
| 2023 | Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2023). A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 1194-1202). Lisdbon, POortugal: ACM. DOI Scopus3 |
| 2023 | Guo, Y., Chen, Y., Zheng, Y., Chen, Q., Zhao, P., Huang, J., . . . Tan, M. (2023). Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2023-June (pp. 2248-2258). Vancouver, BC, Canada: IEEE. DOI Scopus3 |
| 2023 | Lin, J., Chen, Q., Xue, B., & Zhang, M. (2023). AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Conference Proceedings of the Applications of Evolutionary Computation 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023. Vol. 13989 LNCS (pp. 623-639). Brno, Czech Republic: Springer Nature Switzerland. DOI Scopus2 |
| 2023 | Zhang, H., Chen, Q., Tonda, A., Xue, B., Banzhaf, W., & Zhang, M. (2023). MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. In G. Pappa, M. Giacobini, & Z. Vasicek (Eds.), Conference proceedings Genetic Programming. EuroGP 2023 Vol. 13986 (pp. 84-100). Brno, Czech Republic: Springer Nature Switzerland. DOI Scopus6 |
| 2022 | Chen, Q., Tan, M., Qi, Y., Zhou, J., Li, Y., & Wu, Q. (2022). V2C: Visual Voice Cloning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2022) Vol. 2022-June (pp. 21210-21219). Online: IEEE. DOI Scopus37 WoS20 |
| 2021 | Chen, Y., Guo, Y., Chen, Q., Li, M., Zeng, W., Wang, Y., & Tan, M. (2021). Contrastive Neural Architecture Search with Neural Architecture Comparators. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9497-9506). Nathville, TN, USA: IEEE. DOI Scopus91 WoS63 |
| 2021 | Qiao, Y., Chen, Q., Deng, C., DIng, N., Qi, Y., Tan, M., . . . Wu, Q. (2021). R-GAN: Exploring Human-like Way for Reasonable Text-to-Image Synthesis via Generative Adversarial Networks. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 2085-2093). United States: Association for Computing Machinery. DOI Scopus17 WoS15 |
| 2021 | Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2021). GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. In Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 905-912). Canberra, ACT, Aust: IEEE. DOI Scopus2 |
| 2021 | Zheng, Y., Wen, Z., Tan, M., Zeng, R., Chen, Q., Wang, Y., & Wu, Q. (2021). Modular graph attention network for complex visual relational reasoning. In Proceedings of the 15th Asian Conference on Computer Vision (ACCV 2020), as published in Lecture Notes in Computer Science Vol. 12627 (pp. 137-153). Cham, Switzerland: Springer. DOI Scopus2 |
| 2020 | Chen, Q., Wang, W., Huang, K., De, S., & Coenen, F. (2020). Adversarial Domain Adaptation for Crisis Data Classification on Social Media. In Proceedings - IEEE Congress on Cybermatics: 2020 IEEE International Conferences on Internet of Things, iThings 2020, IEEE Green Computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social Computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020 (pp. 282-287). Rhodes, Greece: IEEE. DOI Scopus4 |
| 2020 | Chen, Q., Wang, W., Huang, K., De, S., & Coenen, F. (2020). Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. In Proceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020 (pp. 232-237). Bologna, Italy: IEEE. DOI Scopus8 |
| 2020 | Chen, Q., Wu, Q., Tang, R., Wang, Y., Wang, S., & Tan, M. (2020). Intelligent home 3D: Automatic 3D-house design from linguistic descriptions only. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 12622-12631). online: IEEE. DOI Scopus45 WoS31 |
| 2020 | Guo, Y., Chen, J., Wang, J., Chen, Q., Cao, J., Deng, Z., . . . Tan, M. (2020). Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1-10). Seattle, WA, USA: IEEE. DOI Scopus388 WoS324 |
| 2020 | Liu, L., Cao, J., Liu, M., Guo, Y., Chen, Q., & Tan, M. (2020). Dynamic Extension Nets for Few-shot Semantic Segmentation. In Proceedings of the 28th ACM International Conference on Multimedia (pp. 1-9). Seattle, WA, USA: ACM. DOI Scopus44 WoS33 |
| 2020 | Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020). Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (pp. 2093-2100). Canberra, ACT, Aust: IEEE. DOI Scopus2 |
| 2020 | Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020). Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. In 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings (pp. 1-8). Glasgow, Scotland: IEEE. DOI Scopus7 |
| 2020 | Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020). Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.), Conference proceedings of AI 2020: Advances in Artificial Intelligence 33rd Australasian Joint Conference Vol. 12576 (pp. 163-175). Canberra, ACT, Aust: Springer International Publishing. DOI Scopus2 |
| 2020 | Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2020). Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. In S. Palaiahnakote, G. Sanniti di Baja, L. Wang, & W. Yan (Eds.), Conference Proceedings Pattern Recognition 5th Asian Conference, ACPR 2019 Vol. 12047 LNCS (pp. 566-579). Auckland, New Zealand: Springer International Publishing. DOI Scopus6 |
| 2019 | Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2019). A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. In Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 2395-2402). Xiamen, China: IEEE. DOI Scopus8 |
| 2019 | Chen, Q., Xue, B., & Zhang, M. (2019). Instance based Transfer Learning for Genetic Programming for Symbolic Regression. In 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings (pp. 3006-3013). Wellington, New Zealand: IEEE. DOI Scopus22 |
| 2019 | Guo, Y., Zheng, Y., Tan, M., Chen, Q., Chen, J., Zhao, P., & Huang, J. (2019). NAT: Neural architecture transformer for accurate and compact architectures. In Proceedings of the 33rd International Conference on Neural Information Processing Systems Vol. 32 (pp. 1-12). Red Hook, NY, USA: Curran Associates Inc. Scopus57 WoS33 |
| 2019 | Chen, Q., & Wang, W. (2019). Multi-modal Neural Network for Traffic Event Detection. In Proceedings of the 2019 IEEE 2nd International Conference on Electronics and Communication Engineering, ICECE 2019 (pp. 26-30). Xi'an, China: IEEE. DOI Scopus9 |
| Year | Citation |
|---|---|
| 2025 | Nguyen, D., Ho, M. K., Ta, H., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs. |
| 2025 | Huy, T. D., Huynh, D. A., Xie, Y., Qi, Y., Chen, Q., Nguyen, P. L., . . . Phan, V. M. H. (2025). Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding. |
| 2024 | Xu, H. -M., Chen, Q., Wang, L., & Liu, L. (2024). Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning. |
| 2024 | Chen, Q., Zhang, B., Wang, G., & Wu, Q. (2024). Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles. |
| 2024 | Chen, Q., Zhao, R., Wang, S., Phan, V. M. H., Hengel, A. V. D., Verjans, J., . . . Wu, Q. (2024). A Survey of Medical Vision-and-Language Applications and Their Techniques. |
| 2023 | Chen, Q., Pitawela, D., Zhao, C., Zhou, G., Chen, H. -T., & Wu, Q. (2023). WebVLN: Vision-and-Language Navigation on Websites. |
| 2021 | Chen, Q., Li, Y., Qi, Y., Zhou, J., Tan, M., & Wu, Q. (2021). V2C: Visual Voice Cloning. |
| 2020 | Cao, J., Chen, Q., Guo, J., & Shi, R. (2020). Attention-guided Context Feature Pyramid Network for Object Detection. |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Co-Supervisor | Reconstruct Neural rendering field from compressed and corrupted data | Doctor of Philosophy | Doctorate | Full Time | Mr Hanwen Wang |
| 2025 | Co-Supervisor | Reconstruct Neural rendering field from compressed and corrupted data | Doctor of Philosophy | Doctorate | Full Time | Mr Hanwen Wang |
