Dr Weitong Chen

• Appointments

  Date	Position	Institution name
  2024 - ongoing	Senior Lecturer	The University of Adelaide
  2022 - ongoing	Researcher	Australian Institute for Machine Learning (AIML)
  2022 - 2024	lecturer	The University of Adelaide
  2021 - 2022	Associated Lecturer	The University of Queensland
  2020 - 2022	Postdoctoral Research Fellow	The University of Queensland

• Language Competencies

  Language	Competency
  Chinese (Cantonese)	Can read, write, speak, understand spoken and peer review
  Chinese (Mandarin)	Can read, write, speak, understand spoken and peer review
  English	Can read, write, speak, understand spoken and peer review

• Education

  Date	Institution name	Country	Title
  2017 - 2020	The University of Queensland	Australia	PhD
  2011 - 2022	The University of Queensland	Australia	Master of Computer Science
  2009 - 2022	Griffith University	Australia	Bachelor of Information System

• Research Interests

  Information Systems Optimisation

• Journals

  Year	Citation
  2025	Zhao, Y., Zhang, M., Zhang, C., Chen, W., Ye, N., & Xu, M. (2025). A boosting framework for positive-unlabeled learning. Statistics and Computing, 35(1), 2-1-2-22. DOI Scopus1 WoS1
  2025	Sun, Y., Yue, L., Liu, Y., Chen, W., & Sun, Z. (2025). The Application of the SubChain Salp Swarm Algorithm in the Less-Than-Truckload Freight Matching Problem. APPLIED SCIENCES-BASEL, 15(8), 14 pages. DOI
  2025	Sun, Y., Yue, L., Jin, H., Chen, W., & Sun, Z. (2025). A Modeling Method for Emergency Rescue Center Siting Based on the Variable Butterfly Optimization Algorithm. Electronics (Switzerland), 14(8), 18 pages. DOI
  2025	Wang, X., Figueredo, G., Li, R., Zhang, W. E., Chen, W., & Chen, X. (2025). A survey of deep-learning-based radiology report generation using multimodal inputs. Medical Image Analysis, 103, 26 pages. DOI Scopus4 WoS3 Europe PMC3
  2025	Sun, Y., Yue, L., He, T., Chen, W., & Sun, Z. (2025). A Bidirectional Material Diffusion Algorithm Based on Fusion Hypergraph Random Walks for Video Recommendation. Mathematics, 13(10), 21 pages. DOI
  2025	Wang, Y., Chen, W., Yue, L., Nabney, I., & Pi, D. (2025). Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation. Knowledge Based Systems, 324, 113763. DOI
  2025	Han, K., Koay, A. M. Y., Ko, R. K. L., Chen, W., & Xu, M. (2025). Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data. Frontiers of Computer Science, 19(8), 13 pages. DOI Scopus1 WoS1
  2025	Asundi, S. H., Plummer, M. P., Sundararajan, K., O’Callaghan, G., Kar, P., Jukes, A., . . . Webber, T. (2025). Cumulative Radiation Exposure Post Aneurysmal Subarachnoid Haemorrhage. Clinical Neuroradiology, 35(3), 559-564. DOI
  2024	Zhang, C., Chen, W., Zhang, W., & Xu, M. (2024). Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. ACM Transactions on Intelligent Systems and Technology, 16(1), 5-1-5-26. DOI
  2024	Xu, Y., Li, T., Yang, Y., Chen, W., & Yue, L. (2024). An adaptive category-aware recommender based on dual knowledge graphs. Information Processing and Management, 61(3), 14 pages. DOI Scopus12 WoS11
  2024	Zhuang, H., Zhang, W., Chen, W., Yang, J., & Sheng, Q. Z. (2024). Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. ACM Transactions on Intelligent Systems and Technology, 16(1), 9-1-9-23. DOI
  2023	Chen, W., Zhang, W. E., & Yue, L. (2023). Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. World Wide Web, 26(6), 4025-4045. DOI Scopus4 WoS4
  2023	Qiu, Y., Lin, F., Chen, W., & Xu, M. (2023). Pre-training in Medical Data: A Survey. Machine Intelligence Research, 20(2), 147-179. DOI Scopus22 WoS17
  2023	Li, B., Huang, Z., Chen, T. W., Dai, T., Zang, Y., Xie, W., . . . Cai, K. (2023). MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems, 24(8), 10 pages. DOI Scopus17 WoS12
  2022	Li, B., Dai, T., Chen, W., Song, X., Zang, Y., Huang, Z., . . . Cai, K. (2022). : A Trusted Parallel Route Planning Model on Dynamic Road Networks. IEEE Transactions on Intelligent Transportation Systems, 24(1), 1-13. DOI Scopus12 WoS11
  2022	Liu, A. C., Law, O. M. K., & Law, I. (2022). Healthcare.
  2022	Wang, Y., Chen, W., Pi, D., & Yue, L. (2022). Adaptive Multi-Hop Reading on Memory Neural Network with Selective Coverage Mechanism for Medication Recommendation. ACTA ELECTONICA SINICA, 50(4), 943. DOI Scopus3
  2021	Wang, Y., Chen, W., Pi, D., & Yue, L. (2021). Adversarially regularized medication recommendation model with multi-hop memory network. Knowledge and Information Systems, 63(1), 125-142. DOI Scopus30 WoS24
  2021	Zhang, Y., Li, B., Gao, H., Ji, Y., Yang, H., Wang, M., & Chen, W. (2021). Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks. Big Data Research, 25, 9 pages. DOI WoS6
  2021	Li, B., Liang, R., Zhu, D., Chen, W., & Lin, Q. (2021). Blockchain-based trust management model for location privacy preserving in VANET. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3765-3775. DOI Scopus103 WoS74
  2021	Yue, L., Shen, H., Wang, S., Boots, R., Long, G., Chen, W., & Zhao, X. (2021). Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning. ACM Transactions on Knowledge Discovery from Data (TKDD), 15(5), 1-20. DOI Scopus19 WoS17
  2021	Wang, M., Chen, W., Wang, S., Jiang, Y., Yao, L., & Qi, G. (2021). Efficient search over incomplete knowledge graphs in binarized embedding space. Future Generation Computer Systems, 123, 24-34. DOI WoS2
  2020	Chen, W., Long, G., Yao, L., & Sheng, Q. Z. (2020). AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web, 23(5), 2753-2770. DOI WoS19
  2020	Yue, L., Tian, D., Chen, W., Han, X., & Yin, M. (2020). Deep learning for heterogeneous medical data analysis. World Wide Web, 23(5), 2715-2737. DOI Scopus66 WoS46
  2020	Wang, Y., Chen, W., Pi, D., & Boots, R. (2020). Graph augmented triplet architecture for fine-grained patient similarity. World Wide Web, 23(5), 2739-2752. DOI WoS9
  2020	Cai, K., Yue, H., Li, B., Chen, W., & Huang, W. (2020). Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography. IEEE Access, 8, 50171-50179. DOI Scopus9 WoS7
  2020	Zhang, A., Li, B., Wang, W., Wan, S., & Chen, W. (2020). MII: a novel text classification model combining deep active learning with bert. Computers, Materials and Continua, 63(3), 1499-1514. DOI
  2019	Yue, L., Chen, W., Li, X., Zuo, W., & Yin, M. (2019). A survey of sentiment analysis in social media. Knowledge and Information Systems, 60(2), 617-663. DOI Scopus448 WoS317
  2019	Li, Y., Chen, W., Liu, D., Zhang, Z., Wu, S., & Liu, C. (2019). IFFLC: an integrated framework of feature learning and classification for multiple diagnosis codes assignment. IEEE Access, 7, 36810-36818.
  2019	Ma, J., Wen, J., Zhong, M., Chen, W., & Li, X. (2019). MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning. Data Science and Engineering, 4(3), 240-253. DOI
  2018	Wang, M., Chen, W., Wang, S., Liu, J., Li, X., & Stantic, B. (2018). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77(3), 3405-3429. DOI WoS4
  2017	Yang, Y., Xu, Y., Han, J., Wang, E., Chen, W., & Yue, L. (2017). Efficient traffic congestion estimation using multiple spatio-temporal properties. Neurocomputing, 267, 344-353. DOI Scopus47
  2017	Yue, L., Shi, Z., Han, J., Wang, S., Chen, W., & Zuo, W. (2017). Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing, 253, 6-14. DOI Scopus2
  2017	Zhang, D., Yao, L., Zhang, X., Wang, S., Chen, W., & Boots, R. (2017). EEG-based intention recognition from spatio-temporal representations via cascade and parallel convolutional recurrent neural networks. arXiv preprint arXiv:1708.06578, 1-8.
  2016	Wang, S., Chang, X., Li, X., Sheng, Q. Z., & Chen, W. (2016). Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Processing, 120, 746-753. DOI Scopus48 WoS45
  2016	Wang, S., Pan, P., Long, G., Chen, W., Li, X., & Sheng, Q. Z. (2016). Compact representation for large-scale unconstrained video analysis. World Wide Web, 19(2), 231-246. DOI Scopus4 WoS2
  2015	Li, X., Zhu, G., Guo, X., & Chen, W. (2015). Spatial and Temporal Word Spectrum of Social Media.

• Books

  Year	Citation
  2022	Chen, W., Yao, L., Taotao, C., Pan, S., & Shen, T. (Eds.) (2022). Advanced Data Mining and Applications 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II (Vol. 13726 LNAI). Springer International Publishing AG.

• Book Chapters

  Year	Citation
  2023	Yue, L., Zhang, Y., Zhao, X., Zhang, Z., & Chen, W. (2023). Improving Motor Imagery Intention Recognition via Local Relation Networks. In B. Li, L. Yue, C. Tao, X. Han, D. Calvanese, & T. Amagasa (Eds.), Web and Big Data (Vol. 13421 LNCS, pp. 345-356). Switzerland: Springer Nature Switzerland. DOI Scopus1
  2021	Liu, B., Zuccon, G., Hua, W., & Chen, W. (2021). Diagnosis Ranking with Knowledge Graph Convolutional Networks. In D. Hiemstra, M. -F. Moens, J. Mothe, R. Perego, M. Potthast, & F. Sebastiani (Eds.), Advances in Information Retrieval (Vol. 12656, pp. 359-374). New York, NY, USA: Springer, Cham. DOI WoS1

• Conference Papers

  Year	Citation
  2025	Han, K., Koay, A., Ko, R. K. L., Chen, W., & Xu, M. (2025). Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. In T. Chen, Y. Cao, Q. V. H. Nguyen, & T. T. Nguyen (Eds.), Proceedings of the 35th Australasian Database Conferencem (ADC 2024), as published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15449 LNCS (pp. 293-307). Singapore: Springer. DOI
  2025	Shakeri, A., Zhang, W. E., Beheshti, A., Chen, W., Yang, J., & Yang, L. (2025). FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. In Lecture Notes in Computer Science Vol. 15874 LNCS (pp. 40-51). Sydney, NSW, Australia: Springer Nature Singapore. DOI
  2025	Zheng, L. N., Dong, C., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Vol. 2 (pp. 4026-4037). ACM. DOI
  2024	Tan, X., Wang, Z., Wang, M., Shen, D., Chen, W., & Wang, B. (2024). Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. In M. Onizuka, J. G. Lee, Y. Tong, C. Xiao, Y. Ishikawa, S. Amer-Yahia, . . . K. Lu (Eds.), DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2024, PT 5 Vol. 14854 (pp. 493-502). JAPAN, Gifu: SPRINGER-VERLAG SINGAPORE PTE LTD. DOI
  2024	George Dong, C., David Li, Z., Nathan Zheng, L., Chen, W., & Emma Zhang, W. (2024). Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. In Proceedings of the International Conference on Information and Knowledge Management (pp. 477-486). ID, Boise: Association of Computing Machinery. DOI
  2024	Qu, Y., Yang, J., Zhang, W. E., Chen, W., & Yu, H. Q. (2024). Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. In Proceedings of the IEEE International Conference on Web Services, ICWS Vol. 33 (pp. 45-54). Shenzhen, China: IEEE. DOI
  2024	Shakeri, A., Chen, P., Shu, Y., Yang, L., Zhang, W. E., & Chen, W. (2024). Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. In Proceedings of the IEEE International Conference on Web Services, ICWS Vol. 27 (pp. 84-91). Shenzhen, China: IEEE. DOI Scopus1
  2024	Zhuang, H., Zhang, W. E., Xie, L., Chen, W., Yang, J., & Sheng, Q. Z. (2024). Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024 Vol. 1 (pp. 7761-7783). Online: Association for Computational Linguistics (ACL). DOI Scopus2
  2024	Zheng, L. N., Li, Z., Dong, C. G., Zhang, W. E., Yue, L., Xu, M., . . . Chen, W. (2024). Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3405-3414). Boise, Idaho, USA: Association for Computing Machinery (ACM). DOI Scopus3 WoS2
  2024	Zheng, L. N., Dong, C. G., Zhang, W. E., Chen, X., Yue, L., & Chen, W. (2024). Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3395-3404). New York, NY, USA: Association for Computing Machinery (ACM). DOI Scopus1
  2024	Zhuang, H., Emma Zhang, W., Yang, J., Chen, W., & Sheng, Q. Z. (2024). Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3591-3601). Boise, Idaho, USA: Association for Computing Machinery (ACM). DOI
  2024	Qiu, Y., Chen, W., & Xu, M. (2024). A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. In G. Chen, L. Khan, X. Gao, M. Qiu, W. Pedrycz, & X. Wu (Eds.), Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM 2023) (pp. 508-517). Shanghai, China: IEEE. DOI Scopus1 WoS2
  2024	Dong, C. G., Zheng, L. N., Chen, W., Zhang, W. E., & Yue, L. (2024). SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. In Proceedings of the IEEE International Conference on Knowledge Graph (ICKG 2023) (pp. 117-125). Online: IEEE. DOI Scopus9 WoS7
  2023	Wen, Z., Zhang, W. E., Guo, L., & Chen, W. (2023). Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. In SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems (pp. 496-497). TURKEY, Bahcesehir Univ, Istanbul: ASSOC COMPUTING MACHINERY. DOI
  2023	Shen, S., Zhang, M., Chen, W., Bialkowski, A., & Xu, M. (2023). Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13938 LNCS (pp. 99-111). Online: Springer Nature Switzerland. DOI
  2023	Guo, L., Zhang, W. E., Chen, W., Yang, N., Nguyen, Q., & Vo, T. D. (2023). Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. In Proceedings of the 36th Australasian Joint Conference on Artificial Intelligence Vol. 14471 (pp. 67-78). Brisbane, QLD: Springer Nature Singapore. DOI Scopus2 WoS2
  2023	Shen, S., Xu, M., Yue, L., Boots, R., & Chen, W. (2023). Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. In B. Li, L. Yue, C. Tao, X. Han, D. Calvanese, & T. Amagasa (Eds.), Proceedings International Joint Conference APWeb-WAIM 2022 Vol. 13421 LNCS (pp. 60-75). Nanjing, China: Springer Nature Switzerland. DOI Scopus4
  2022	Shen, S., Chen, W., & Xu, M. (2022). What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13728 LNAI (pp. 501-515). Online: Springer International Publishing. DOI Scopus3 WoS1
  2022	Zhang, C., Zhang, Y., Mao, J., Chen, W., Yue, L., Bai, G., & Xu, M. (2022). Towards Better Generalization for Neural Network-Based SAT Solvers. In Pacific-Asia Conference on Knowledge Discovery and Data Mining Vol. 13281 LNAI (pp. 199-210). Online: Springer, Cham. DOI Scopus3
  2022	Qiu, Y., Chen, W., Yue, L., Xu, M., & Zhu, B. (2022). STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. In International Conference on Advanced Data Mining and Applications Vol. 13087 LNAI (pp. 86-100). Online: Springer, Cham. DOI Scopus10 WoS8
  2022	Han, K., Chen, W., & Xu, M. (2022). Investigating Active Positive-Unlabeled Learning with Deep Networks. In Australasian Joint Conference on Artificial Intelligence Vol. 13151 (pp. 607-618). Online: Springer, Cham. DOI WoS2
  2022	Tran, K. P., Chen, W., & Xu, M. (2022). Improving Traffic Load Prediction with Multi-modality: A Case Study of Brisbane. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13151 LNAI (pp. 254-266). Online: Springer. DOI Scopus1 WoS1
  2021	Wang, Y., Chen, W., Pi, D., Yue, L., Wang, S., & Xu, M. (2021). Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.. In IJCAI (pp. 3134-3140). Virtual, Online: International Joint Conferences on Artificial Intelligen. DOI Scopus36
  2021	Su, G., Chen, W., & Xu, M. (2021). Positive-Unlabeled Learning from Imbalanced Data.. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (pp. 2995-3001). Montreal Canada: International Joint Conferences on Artificial Intelligence.
  2021	Liu, C., Yang, Y., Yao, Z., Xu, Y., Chen, W., Yue, L., & Wu, H. (2021). Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 1048-1057). Virtual, Online: Association for Computing Machinery. DOI Scopus5 WoS4
  2021	Wang, Y., Chen, W., Pi, D., Yue, L., Xu, M., & Li, X. (2021). Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 2020-2029). Virtual, Online: Association for Computing Machinery. DOI Scopus12 WoS13
  2021	Yue, L., Tian, D., Jiang, J., Yao, L., Chen, W., & Zhao, X. (2021). Intention recognition from spatio-temporal representation of EEG signals. In M. Qiao, G. Vossen, S. Wang, & L. Li (Eds.), Databases Theory and Applications. ADC 2021 Vol. 12610 LNCS (pp. 1-12). Switzerland AG: Springer, Cham. DOI Scopus8 WoS7
  2019	Ma, J., Wen, J., Zhong, M., Liu, L., Li, C., Chen, W., . . . Li, X. (2019). Dbrec: dual-bridging recommendation via discovering latent groups. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19) (pp. 1513-1522). New York, NY, USA: Association for Computing Machinery. DOI WoS9
  2019	Chen, W., Yue, L., Li, B., Wang, C., & Sheng, Q. Z. (2019). DAMTRNN: a delta attention-based multi-task RNN for intention recognition. In International Conference on Advanced Data Mining and Applications Vol. LNAI 11888 (pp. 373-388). Dalian, China: Springer, Cham. DOI Scopus8 WoS12
  2019	Ma, J., Zhong, M., Wen, J., Chen, W., Zhou, X., & Li, X. (2019). RecKGC: Integrating Recommendation with Knowledge Graph Completion. In J. Li, S. Wang, S. Qin, X. Li, & S. Wang (Eds.), International Conference on Advanced Data Mining and Applications Vol. 11888 (pp. 250-265). Switzerland: Springer, Cham. DOI WoS2
  2019	Zhang, Z., Chen, W., Liu, C., Kang, Y., Liu, F., Li, Y., & Wei, S. (2019). Robust feature selection based on fuzzy rough sets with representative sample. In J. Li, S. Qin, S. Wang, S. Wang, & X. Li (Eds.), International Conference on Advanced Data Mining and Applications Vol. 11888 (pp. 151-165). Switzerland: Springer, Cham. DOI WoS1
  2019	Shi, Z., Chen, W., Liang, S., Zuo, W., Yue, L., & Wang, S. (2019). Deep interpretable mortality model for intensive care unit risk prediction. In J. Li, S. Wang, S. Qin, X. Li, & S. Wang (Eds.), Advanced Data Mining and Applications. ADMA 2019. Vol. 11888 (pp. 617-631). Dalian, China: Springer, Cham. DOI Scopus7 WoS6
  2019	Ma, J., Wen, J., Zhong, M., Chen, W., Zhou, X., & Indulska, J. (2019). Multi-source multi-net micro-video recommendation with hidden item category discovery. In Database Systems for Advanced Applications Vol. 11447 (pp. 384-400). Handle, Switzerland: Springer, Cham. DOI WoS7
  2019	Shi, Z., Zuo, W., Chen, W., Yue, L., Hao, Y., & Liang, S. (2019). DMMAM: Deep multi-source multi-task attention model for intensive care unit diagnosis. In Database Systems for Advanced Applications (DASFAA) Vol. 11447 (pp. 53-69). Handel, Switzerland: Springer, Cham. DOI Scopus6 WoS5
  2019	Wang, Y., Chen, W., Li, B., & Boots, R. (2019). Learning fine-grained patient similarity with dynamic bayesian network embedded RNNs. In Database Systems for Advanced Applications Vol. 11446 (pp. 587-603). Handel, Switzerland: Springer, Cham. DOI WoS5
  2019	Xu, X., Huang, Z., Wu, J., Fu, Y., Luo, N., Chen, W., . . . Yin, M. (2019). Finding the key influences on the house price by finite mixture model based on the real estate data in Changchun. In International Conference on Database Systems for Advanced Applications Vol. 11448 (pp. 378-382). Chiang Mai, THAILAND: Springer, Cham. DOI WoS2
  2019	Wang, R., Wang, M., Liu, J., Chen, W., Cochez, M., & Decker, S. (2019). Leveraging knowledge graph embeddings for natural language question answering. In G. Li, J. Yang, J. Gama, J. Natwichai, & Y. Tong (Eds.), Database Systems for Advanced Applications. DASFAA 2019. Vol. 11446 (pp. 659-675). New York, NY, USA: Springer, Cham. DOI WoS22
  2018	Zhang, D., Yao, L., Zhang, X., Wang, S., Chen, W., Boots, R., & Benatallah, B. (2018). Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface. In Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence Vol. 32 (pp. 1703-1710). Palo Alto, California, USA: AAAI Press. DOI WoS123
  2018	Chen, W., Wang, S., Long, G., Yao, L., Sheng, Q. Z., & Li, X. (2018). Dynamic illness severity prediction via multi-task RNNs for Intensive Care Unit. In Proceedings of the IEEE International Conference on Data Mining (ICDM 2018) (pp. 917-922). Piscataway, NJ, USA: IEEE. DOI WoS26
  2018	Chen, W., Wang, S., Zhang, X., Yao, L., Yue, L., Qian, B., & Li, X. (2018). EEG-based motion intention recognition via multi-task RNNs. In SIAM International Conference on Data Mining Sdm 2018 (pp. 279-287). Society for Industrial and Applied Mathematics. DOI Scopus87
  2017	Chen, H., Yin, H., Li, X., Wang, M., Chen, W., & Chen, T. (2017). People opinion topic model: opinion based user clustering in social networks. In Proceedings of the 26th International Conference on World Wide Web Companion (WWW'17) (pp. 1353-1359). Perth, Australia: Association for Computing Machinery. DOI WoS20
  2017	Zheng, Y., Wei, B., Liu, J., Wang, M., Chen, W., Wu, B., & Chen, Y. (2017). Quality prediction of newly proposed questions in CQA by leveraging weakly supervised learning. In Advanced Data Mining and Applications 13th International Conference, ADMA 2017, Proceedings Vol. 10604 LNAI (pp. 655-667). Switzerland: Springer, Cham. DOI Scopus4
  2017	Shi, Z., Zuo, W., Chen, W., Yue, L., Han, J., & Feng, L. (2017). User relation prediction based on matrix factorization and hybrid particle swarm optimization. In Proceedings of the 26th International Conference on World Wide Web Companion (pp. 1335-1341). Perth, Australia: ACM Digital. DOI Scopus11 WoS10
  2016	Li, B., Zhang, C., Chen, W., Yang, Y., Feng, S., Zhang, Q., . . . Li, D. (2016). Dynamic reverse furthest neighbor querying algorithm of moving objects. In International Conference on Advanced Data Mining and Applications (pp. 266-279). Springer, Cham.
  2016	Xie, M., Yin, H., Wang, H., Xu, F., Chen, W., & Wang, S. (2016). Learning graph-based poi embedding for location-based recommendation. In Proceedings of the 25th ACM international on conference on information and knowledge management (pp. 15-24).

• Conference Items

  Year	Citation
  2018	Utomo, C. P., Li, X., & Chen, W. (2018). Treatment recommendation in critical care: A scalable and interpretable approach in partially observable health states. Poster session presented at the meeting of Proceedings of the International Conference on Information Systems - Bridging the Internet of People, Data, and Things, ICIS 2018. Illinois, USA: Association for Information Systems.

• Theses

  Year	Citation
  -	Chen, W. (n.d.). Deep multi-task learning on time-series medical data.

• Preprint

  Year	Citation
  2023	Dong, C. G., Zheng, L. N., Chen, W., Zhang, W. E., & Yue, L. (2023). SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.

To be considered for a recommendation letter from me for graduate school applications, you must satisfy at least two of the following criteria:

1. Achieved a grade exceeding 90% in my class.
2. Completed your MSc project under my supervision with a High Distinction (HD) grade.
3. Represented the University of Adelaide (UoA) in the world final of the ACM programming contest.
4. Demonstrated strong preparation for graduate studies, such as contributing to a publication in a reputable conference or journal.

Please note:

• Writing a recommendation letter is a time-intensive process, so I ask that your request be made with due courtesy. Requests lacking politeness will not be acknowledged.
• Given the limited number of letters I can write annually, I may have to decline many requests. This decision is not personal. If I agree to consider your request, expect a 30-minute interview where I will assess your computer science knowledge through technical questions.
• I will only write recommendation letters for up to five graduate schools per student.

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

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2025	Co-Supervisor	Exploring scientific literature for anomalous adsorption phenomena using natural language processing	Master of Philosophy	Master	Full Time	Mr Fengxu Yang
  2025	Principal Supervisor	Advanced Adaptive Learning Frameworks for Scalable and Efficient Continual Learning in Machine Learning Applications	Doctor of Philosophy	Doctorate	Full Time	Mr Zechao Sun
  2025	Co-Supervisor	Redesigning Anatomical Pathology Workflow via Machine Learning and Optimisation	Doctor of Philosophy	Doctorate	Full Time	Mr Jialiang Li
  2024	Principal Supervisor	Cutting-Edge Artificial Intelligence in Smart and Digital Agriculture	Doctor of Philosophy	Doctorate	Full Time	Ms Lipin Guo
  2024	Co-Supervisor	Large Language Models for Adaptive Microservice Composition and Orchestration	Master of Philosophy	Master	Full Time	Mr Jeffrey Chan
  2024	Principal Supervisor	Artificial intelligence-based diagnosis using multimodal information	Doctor of Philosophy	Doctorate	Full Time	Mr Liangwei Zheng
  2024	Principal Supervisor	Exploring Explainable AI in Pathological Diagnostics and Healthcare	Doctor of Philosophy	Doctorate	Full Time	Mr Wenhao Liang
  2023	Principal Supervisor	An efficient and robust deep learning framework for multi-scale feature fusion object detection	Doctor of Philosophy	Doctorate	Full Time	Mr Yibo Sun
  2023	Co-Supervisor	Can Active Learning and Federated Learning Help Sensitive Information Protection	Master of Philosophy	Master	Full Time	Mr Lishan Yang

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

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2025 - 2025	Co-Supervisor	Adversarial Attack and Defense in Time Series Classification	Master of Philosophy	Master	Full Time	Mr Chang Dong
  2023 - 2024	Co-Supervisor	Deep Learning Based Multi-document Summarization	Doctor of Philosophy	Doctorate	Full Time	Ms Congbo Ma

• Other Supervision Activities

  Date	Role	Research Topic	Location	Program	Supervision Type	Student Load	Student Name
  2023 - ongoing	External Supervisor	Domain Adaptation in Causality Views	The University of Queensland	-	Doctorate	Full Time	Shaofei Shen
  2022 - ongoing	Principal Supervisor	Deep learning methods for imbalanced medical multivariate time series data	University of Queensland	Computer Science	Doctorate	Full Time	Yixuan qiu
  2022 - ongoing	External Supervisor	High-stakes Decision Making with Weakly Supervised Data	The University of Queensland	Computer Science	Doctorate	Full Time	Yawen Zhao
  2022 - ongoing	External Supervisor	Distribution-aware Automatic Summary Generalisation from Multi-modal Medical Data	The University of Queensland	-	Doctorate	Full Time	Hao Gong
  2022 - ongoing	Principal Supervisor	Fairness-aware Personal Medicine: From Disease Diagnosis to Treatment	The University of Qeensland	Computer Science	Doctorate	Full Time	Chenhao Zhang
  2022 - ongoing	External Supervisor	Machine Learning for Cyber Security	The University of Queensland	Cyber Security	Doctorate	Full Time	Kun Han

• Mentoring

  Date	Topic	Location	Name
  2025 - 2025	Guardians of the InfoSphere: A Multi-Modal Approach to Disinformation Detection in Large Language Models	University of Maryland	Jason Pittman

• Position: Senior Lecturer
• Phone: 83130676
• Email: weitong.chen@adelaide.edu.au
• Campus: North Terrace
• Building: Ingkarni Wardli, floor Level Four
• Room: 4.45
• Org Unit: Computer Science