Overview
Background
Rocky Tong Chen is currently a Lecturer and ARC DECRA Fellow with the Data Science Discipline, School of Information Technology and Electrical Engineering, 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
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Data Mining
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Recommender Systems
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Predictive Analytics
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Machine Learning
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Health Informatics
Works
Search Professor Rocky Chen’s works on UQ eSpace
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. New York, NY, USA: 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. New York, NY, USA: ACM. doi: 10.1145/3637528.3671821
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. New York, NY, USA: ACM. doi: 10.1145/3637528.3671743
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
2024
Journal Article
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
Chen, Lijian, Yuan, Wei, Chen, Tong, Ye, Guanhua, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. ACM Transactions on Information Systems, 42 (6), 1-26. doi: 10.1145/3666088
2024
Conference Publication
Challenging low homophily in social recommendation
Jiang, Wei, Gao, Xinyi, Xu, Guandong, Chen, Tong and Yin, Hongzhi (2024). Challenging low homophily in social recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589334.3645460
2024
Conference Publication
Physical trajectory inference attack and defense in decentralized POI recommendation
Long, Jing, Chen, Tong, Ye, Guanhua, Zheng, Kai, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Physical trajectory inference attack and defense in decentralized POI recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645410
2024
Conference Publication
Graph condensation for inductive node representation learning
Gao, Xinyi, Chen, Tong, Zang, Yilong, Zhang, Wentao, Hung Nguyen, Quoc Viet, Zheng, Kai and Yin, Hongzhi (2024). Graph condensation for inductive node representation learning. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00237
2024
Conference Publication
Decentralized collaborative learning with adaptive reference data for on-device POI recommendation
Zheng, Ruiqi, Qu, Liang, Chen, Tong, Cui, Lizhen, Shi, Yuhui and Yin, Hongzhi (2024). Decentralized collaborative learning with adaptive reference data for on-device POI recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645696
2024
Conference Publication
Unraveling the ‘Anomaly’ in time series anomaly detection: a self-supervised tri-domain solution
Sun, Yuting, Pang, Guansong, Ye, Guanhua, Chen, Tong, Hu, Xia and Yin, Hongzhi (2024). Unraveling the ‘Anomaly’ in time series anomaly detection: a self-supervised tri-domain solution. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00080
2024
Conference Publication
On-device recommender systems: a tutorial on the new-generation recommendation paradigm
Yin, Hongzhi, Chen, Tong, Qu, Liang and Cui, Bin (2024). On-device recommender systems: a tutorial on the new-generation recommendation paradigm. 33rd ACM Web Conference, WWW 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589335.3641250
2024
Journal Article
Variational counterfactual prediction under runtime domain corruption
Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Gao, Junbin and Yin, Hongzhi (2024). Variational counterfactual prediction under runtime domain corruption. IEEE Transactions on Knowledge and Data Engineering, 36 (5) 10271745, 2271-2284. doi: 10.1109/tkde.2023.3321893
2024
Conference Publication
Budgeted embedding table for recommender systems
Qu, Yunke, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Budgeted embedding table for recommender systems. 17th ACM International Conference on Web Search and Data Mining (WSDM), Merida, Mexico, 4-8 March 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3616855.3635778
2024
Journal Article
Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation
Guo, Lei, Zhang, Jinyu, Tang, Li, Chen, Tong, Zhu, Lei and Yin, Hongzhi (2024). Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation. IEEE Transactions on Neural Networks and Learning Systems, 35 (3), 4002-4016. doi: 10.1109/tnnls.2022.3201533
2024
Journal Article
XSimGCL: towards extremely simple graph contrastive learning for recommendation
Yu, Junliang, Xia, Xin, Chen, Tong, Cui, Lizhen, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). XSimGCL: towards extremely simple graph contrastive learning for recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (2), 913-926. doi: 10.1109/tkde.2023.3288135
Funding
Current funding
Supervision
Availability
- Dr Rocky Chen is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Value Measurement of Data Products
Principal Advisor
Other advisors: Professor Shazia Sadiq
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Doctor Philosophy
Scalable and Lightweight On-Device Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Scalable and Lightweight On-Device Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Causal Analysis for Decision Support in Public Health
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Hongzhi Yin
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Doctor Philosophy
Sustainable On-Device Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Scalable and Generalizable Graph Neural Networks
Principal Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Lightweight Graph Neural Networks for Recommendation
Principal Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Data as a Service Architecture
Principal Advisor
Other advisors: Professor Shazia Sadiq
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Doctor Philosophy
Quantitative Coupling Relationship between Safety and Efficiency of Mixed Traffic Flow with Connected and Automated vehicles and Human-driven vehicles
Associate Advisor
Other advisors: Professor Zuduo Zheng
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Doctor Philosophy
Deep Learning for Graph Data Analysis
Associate Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Decentralised Collaborative Predictive Analytics on Personal Smart Devices
Associate Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Meeting Challenges on Secure Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Joint Feature Learning for Recommender System
Associate Advisor
Other advisors: Professor Hongzhi Yin
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Doctor Philosophy
Decentralised Collaborative Predictive Analytics on Personal Smart Devices
Associate Advisor
Other advisors: Professor Hongzhi Yin
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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
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Doctor Philosophy
Decentralised Collaborative Predictive Analytics on Personal Smart Devices
Associate Advisor
Other advisors: Professor Hongzhi Yin
Completed supervision
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2022
Doctor Philosophy
Neural Attentive Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin, Professor Helen Huang
Media
Enquiries
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