Overview
Background
Rocky Tong Chen is currently a Senior Lecturer and ARC DECRA Fellow with the Data Science Discipline, School of Electrical Engineering and Computer Science, The University of Queensland. His research has been focused on developing accurate, efficient, and trustworthy data mining solutions to discover actionable patterns and intelligence from large-scale user data to facilitate prediction and recommendation in a wide range of domains. To date, he has published 70+ peer-reviewed papers in the most prestigious conferences (e.g., KDD, SIGIR, WWW, ICDM, ICDE, AAAI and IJCAI) and journals (e.g., VLDBJ, IEEE TKDE, IEEE TNNLS, ACM TOIS and WWWJ). His publications have won 3 Best Paper Awards, 1 Best Paper Nomination, and 2 Travel Awards.
Availability
- Dr Rocky Chen is:
- Available for supervision
Qualifications
- Bachelor of Software Engineering, Northwest A&F University (西北农林科技大学)
- Doctor of Philosophy, The University of Queensland
Research interests
-
Data Mining
-
Recommender Systems
-
Predictive Analytics
-
Machine Learning
-
Health Informatics
Works
Search Professor Rocky Chen’s works on UQ eSpace
2025
Journal Article
Robust federated contrastive recommender system against targeted model poisoning attack
Yuan, Wei, Yang, Chaoqun, Qu, Liang, Ye, Guanhua, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Robust federated contrastive recommender system against targeted model poisoning attack. Science China Information Sciences, 68 (4) 140103, 4. doi: 10.1007/s11432-024-4272-y
2025
Journal Article
Special topic on cloud-edge collaboration for on-device recommendation
Yin, Hongzhi, Cui, Bin, Zhou, Xiaofang, Chen, Tong, Nguyen, Quoc Viet Hung and Zhang, Xiangliang (2025). Special topic on cloud-edge collaboration for on-device recommendation. Science China-Information Sciences, 68 (4) 140100. doi: 10.1007/s11432-025-4334-2
2025
Conference Publication
Towards secure and robust recommender systems: a data-centric perspective
Wang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards secure and robust recommender systems: a data-centric perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover, Germany, 10-14 March 2025. New York, NY, United States: ACM. doi: 10.1145/3701551.3703484
2025
Journal Article
A thorough performance benchmarking on lightweight embedding-based recommender systems
Tran, Hung Vinh, Chen, Tong, Quoc Viet Hung, Nguyen, Huang, Zi, Cui, Lizhen and Yin, Hongzhi (2025). A thorough performance benchmarking on lightweight embedding-based recommender systems. ACM Transactions on Information Systems, 43 (3) 63, 1-32. doi: 10.1145/3712589
2025
Journal Article
PTF-FSR: a parameter transmission-free federated sequential recommender system
Yuan, Wei, Yang, Chaoqun, Qu, Liang, Hung, Nguyen Quoc Viet, Ye, Guanhua and Yin, Hongzhi (2025). PTF-FSR: a parameter transmission-free federated sequential recommender system. ACM Transactions on Information Systems, 43 (2) 52, 1-24. doi: 10.1145/3708344
2025
Book
Databases Theory and Applications : 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16–18, 2024, Proceedings
Chen, Tong, Cao, Yang, Nguyen, Quoc Viet Hung and Nguyen, Thanh Tam eds. (2025). Databases Theory and Applications : 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16–18, 2024, Proceedings. Lecture Notes in Computer Science, Singapore: Springer. doi: 10.1007/978-981-96-1242-0
2025
Conference Publication
RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
You, Kang, Chen, Tong, Ding, Dandan, Asif, M. Salman and Ma, Zhan (2025). RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds. IEEE Computer Society. doi: 10.1109/CVPR52734.2025.02065
2025
Journal Article
Enhancing language models with commonsense knowledge for multi-turn response selection
Wang, Yuandong, Ren, Xuhui, Chen, Tong, Yin, Hongzhi and Hung, Nguyen Quoc Viet (2025). Enhancing language models with commonsense knowledge for multi-turn response selection. International Journal of Machine Learning and Cybernetics. doi: 10.1007/s13042-025-02804-9
2025
Journal Article
ConPCAC: Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition
Zhang, Junzhe, Chen, Tong, You, Kang, Ding, Dandan and Ma, Zhan (2025). ConPCAC: Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 35 (7), 7210-7221. doi: 10.1109/TCSVT.2025.3540931
2024
Conference Publication
Physics-guided active sample reweighting for urban flow prediction
Jiang, Wei, Chen, Tong, Ye, Guanhua, Zhang, Wentao, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Physics-guided active sample reweighting for urban flow prediction. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679738
2024
Conference Publication
Scalable dynamic embedding size search for streaming recommendation
Qu, Yunke, Qu, Liang, Chen, Tong, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Scalable dynamic embedding size search for streaming recommendation. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679638
2024
Conference Publication
Diffusion-based cloud-edge-device collaborative learning for next POI recommendations
Long, Jing, Ye, Guanhua, Chen, Tong, Wang, Yang, Wang, Meng and Yin, Hongzhi (2024). Diffusion-based cloud-edge-device collaborative learning for next POI recommendations. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671743
2024
Conference Publication
Graph condensation for open-world graph learning
Gao, Xinyi, Chen, Tong, Zhang, Wentao, Li, Yayong, Sun, Xiangguo and Yin, Hongzhi (2024). Graph condensation for open-world graph learning. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671917
2024
Conference Publication
Hate speech detection with generalizable target-aware fairness
Chen, Tong, Wang, Danny, Liang, Xurong, Risius, Marten, Demartini, Gianluca and Yin, Hongzhi (2024). Hate speech detection with generalizable target-aware fairness. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671821
2024
Journal Article
Explicit knowledge graph reasoning for conversational recommendation
Ren, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216
2024
Conference Publication
Lightweight embeddings for graph collaborative filtering
Liang, Xurong, Chen, Tong, Cui, Lizhen, Wang, Yang, Wang, Meng and Yin, Hongzhi (2024). Lightweight embeddings for graph collaborative filtering. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657820
2024
Conference Publication
Poisoning decentralized collaborative recommender system and its countermeasures
Zheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Poisoning decentralized collaborative recommender system and its countermeasures. SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3626772.3657814
2024
Journal Article
Personalized elastic embedding learning for on-device recommendation
Zheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Personalized elastic embedding learning for on-device recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (7), 3363-3375. doi: 10.1109/tkde.2024.3361562
2024
Conference Publication
Fairness without sensitive attributes via knowledge sharing
Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014
2024
Journal Article
Heterogeneous decentralised machine unlearning with seed model distillation
Ye, Guanhua, Chen, Tong, Hung Nguyen, Quoc Viet and Yin, Hongzhi (2024). Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Transactions on Intelligence Technology, 9 (3), 608-619. doi: 10.1049/cit2.12281
Funding
Current funding
Supervision
Availability
- Dr Rocky Chen is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Sustainable On-Device Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Scalable and Lightweight On-Device Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin, Dr Junliang Yu
-
Doctor Philosophy
Value Measurement of Data Products
Principal Advisor
Other advisors: Professor Shazia Sadiq
-
Doctor Philosophy
Causal Analysis for Decision Support in Public Health
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Hongzhi Yin
-
Doctor Philosophy
Lightweight Graph Neural Networks for Recommendation
Principal Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Scalable and Lightweight On-Device Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Scalable and Generalizable Graph Neural Networks
Principal Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Data as a Service Architecture
Principal Advisor
Other advisors: Professor Shazia Sadiq
-
Doctor Philosophy
Lightweight Embedding Learning for Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Establishment LCA method coupled with an activated sludge model for sustainable nitrogen management technology evaluation.
Associate Advisor
Other advisors: Professor Liu Ye, Dr Shakil Ahmmed
-
Doctor Philosophy
Improving Traffic Dynamics Simulation Quality for Enhanced Safety and Efficiency: Evaluation, Modelling, and Application
Associate Advisor
Other advisors: Professor Zuduo Zheng
-
Doctor Philosophy
LLM-enhanced Recommender System
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Decentralised Collaborative Predictive Analytics on Personal Smart Devices
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
Doctor Philosophy
Decentralised Collaborative Predictive Analytics on Personal Smart Devices
Associate Advisor
Other advisors: Professor Hongzhi Yin
Completed supervision
-
2025
Doctor Philosophy
Graph Condensation for Real-World Graph Representation at Scale
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
2025
Doctor Philosophy
Decentralized Learning for On-device Recommendation
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
2025
Doctor Philosophy
Decentralized Point-Of-Interest (POI) Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
2022
Doctor Philosophy
Neural Attentive Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin, Professor Helen Huang
Media
Enquiries
For media enquiries about Dr Rocky Chen's areas of expertise, story ideas and help finding experts, contact our Media team: