Dr Weitong Chen
Senior Lecturer
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Dr. Tony Weitong Chen is an ARC EC Industry Fellow, a senior lecturer at the University of Adelaide (UoA) and a researcher at the Australian Institute for Machine Learning (AIML), having previously served as an Associate Lecturer and Post-Doc Research Fellow at the University of Queensland. He earned his PhD from the University of Queensland in 2020, after completing both his Master's and Bachelor's degrees at the University of Queensland and at Griffith University respectively. His research primarily focuses on machine learning, with a special interest in its application to medical data. Dr. Chen is known for his extensive collaborative efforts with professionals in academia, industry, government, and professional bodies, and various internal and external grants have supported his research.
I am interested in topics in areas including time-series data analysis, semi-supervised learning, natural language processing, and Internet of Things applications.
My current research relates to two specific areas:
- Mining Imbalanced and Annotation-Missing Health Data, and
- Enhancing Trustworthy by Generalizing from a Few Examples.
| 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 | 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 |
| 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 |
| 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. Scopus1 WoS1 |
| 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. 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. |
| 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. |
| 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. |
| 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. Scopus6 WoS6 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. |
| 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. Scopus2 WoS1 |
| 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. |
| 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. Scopus14 WoS13 |
| 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. Scopus2 WoS1 |
| 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. Scopus5 WoS5 |
| 2023 | Qiu, Y., Lin, F., Chen, W., & Xu, M. (2023). Pre-training in Medical Data: A Survey. Machine Intelligence Research, 20(2), 147-179. Scopus26 WoS19 |
| 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. Scopus18 WoS13 |
| 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. 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. Scopus4 |
| 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. Scopus31 WoS25 |
| 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. 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. Scopus106 WoS77 |
| 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. 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. 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. 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. Scopus66 WoS47 |
| 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. WoS10 |
| 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. Scopus9 WoS8 |
| 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. |
| 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. Scopus461 WoS326 |
| 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. |
| 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. 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. 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. Scopus3 |
| 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. 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. Scopus4 WoS2 |
| 2015 | Li, X., Zhu, G., Guo, X., & Chen, W. (2015). Spatial and Temporal Word Spectrum of Social Media. |
| 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. |
| 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 |
| 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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2 (KDD 2025) Vol. 2 (pp. 4026-4037). New York, NY, USA: Association for Computing Machinery (ACM). DOI Scopus1 |
| 2025 | Thilakaratne, M., Chen, W. T., Brennan, M., Falkner, N., & Szabo, C. (2025). Building a Strong Base: The Impact of Mastery Learning on Foundation of Computer Science Courses. In Proceedings of 25th International Conference on Computing Education Research Koli Calling 2025 (pp. 1-7). ACM. DOI |
| 2025 | Zheng, L. N., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 4434-4443). ACM. DOI |
| 2025 | Liang, W., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Calibrating on Medical Segmentation Model through Signed Distance. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 1778-1787). ACM. DOI |
| 2025 | Liang, W., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Calibrating on Kolmogorov-Arnold Network. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 1768-1777). ACM. DOI |
| 2025 | Yang, L., Zhang, W. E., Sheng, Q. Z., Yao, L., Chen, W., & Shakeri, A. (2025). MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 3783-3793). 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 Scopus1 |
| 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 Scopus4 |
| 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 Scopus4 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 Scopus3 |
| 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 Scopus3 |
| 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 WoS8 |
| 2024 | Wen, Z., Zhang, W. E., Guo, L., & Chen, W. (2024). Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. In Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems (SenSys 2023) (pp. 496-497). New York, NY, USA: Association for 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 WoS3 |
| 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 WoS2 |
| 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 Scopus39 WoS33 |
| 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. WoS49 |
| 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 Scopus13 WoS14 |
| 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 WoS127 |
| 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 CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (pp. 15-24). IN, IUPUI, Indianapolis: ASSOC COMPUTING MACHINERY. DOI WoS310 |
| 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. |
| Year | Citation |
|---|---|
| - | Chen, W. (n.d.). Deep multi-task learning on time-series medical data. |
| 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. |
Grants and Funding ($1,466,333.00)
- 2025 Global Partnership Engagement Fund 2025 - 2025 Education Knowledge Graph Construction, Embedding, and Application (UoA & TJU)
- ARC IE - ARC ECR Industry Fellowship 2024 - 2026 Future of Work: Achieving Efficiency and Productivity through Optimisation (ARC & SA PAthology)
- ARC LP - Principal Investigator 2024 - 2026 Advanced Data Analytics for Cost-effective Mushroom Cultivation (ARC & CLEVER MUSHROOMS PTY LTD; PIXELFORCE SYSTEMS PTY LTD; HOKKEN CO., LTD)
- ARC DP - Principal Investigator 2024 - 2026 Institutional Grants System icon Towards knowledge discovery from imperfect and evolving data (ARC)
- Research Small Equipment Support Scheme 2024 2024 -2024 Automated 3D Scaner for High-Resolution Mushroom Growth Monitoring and Data Collection
- UoA Sustainability FAME Strategy Grant 2023 - Investigator 2023 - Sustainable Warriors or Marketing Mirage? (UoA)
- UoA CMS Research Grants 2023 - 2023 (UoA)
- ANA Partnership Fund- Principal Investigator 2023 - 2023 AID-MI: Artificial Intelligence Based Diagnosis Using Multimodal Information For Cardiopulmonary Disease (UoA & UoN)
- UoA START-UP GRANT - Principal Investigator 2022 - 2024
- UQ AI-ECR Research Fund - Principal Investigator 2022 - 2022 Towards Positive Emotion: Artificial Intelligence-Based Expression Rephrasing (UQ)
- UQ Cyber Security Seed Fund - Principal Investigator 2022 - 2022 Collaborated Learning with Medical Data Making High-Stake Decision Without Information Leakage (UQ & RBWH)
- UQ AI Initiative - Investigator 2021 - 2022 AI Monitored ICU Illness Severity Prediction (UQ & RBWH)
- ITEE Research Support Fund - Principal Investigator 2021 - 2021 Multi-Task Memory-Fused RNNs for Explainable Illness Severity Prediction (UQ)
Awards & Achievements
- 2024 Best Student Paper Award, The Australasian Database Conference, Australia
- 2024 Emerging Researcher, The 20th International Conference on Advanced Data Mining and Applications, Australia
- 2024 Best Student Paper Runner-up Award, The 20th International Conference on Advanced Data Mining and Applications, Australia
- 2024 20th Anniversary Service Award, The 20th International Conference on Advanced Data Mining and Applications, Australia
- 2023 Early Career Research Excellence Award, The University of Adelaide, Australia
- 2023 Outstanding Service Award, The 36th Australasian Joint Conference on Artificial Intelligence, Australia
- 2022 Best Student Paper Award, APWEB-WAIM 2022, China
- 2022 Best Poster Award, The 34th Australasian Joint Conference on Artificial Intelligence, Australia
- 2021 Best Presentation Award, 17th International Conference on Advanced Data Mining and Applications, Australia
- 2021 Best Paper - Highly Commended Award, Australasian Computer Science Week Multiconference, New Zealand
- 2019 Best Student Paper Award, 15th International Conference on Advanced Data Mining and Applications, China
- 2018 Student Travel Grant, International Conference on Data Mining 2018 Singapore
- 2016 Outstanding Service Award, 12th International Conference on Advanced Data Mining and Applications, Australia
- 2014 Premier‘s Awards for Open Data, Australia
- 2014 1st Place, Microsoft Startup Q Award for Open Data, Australia
To be considered for a recommendation letter from me for graduate school applications, you must satisfy at least two of the following criteria:
- Achieved a grade exceeding 90% in my class.
- Completed your MSc project under my supervision with a High Distinction (HD) grade.
- Represented the University of Adelaide (UoA) in the world final of the ACM programming contest.
- 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.
| 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 |
| 2025 | Co-Supervisor | Integrating multi-omics data to identify novel biomarkers for improved disease diagnosis and prognosis | Doctor of Philosophy | Doctorate | Full Time | Miss Anxuan Han |
| 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 |
| 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 |
| 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 |
| 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 |
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