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2025

Conference Publication

Continual text-to-video retrieval with frame fusion and task-aware routing

Zhao, Zecheng, Chen, Zhi, Huang, Zi, Sadiq, Shazia and Chen, Tong (2025). Continual text-to-video retrieval with frame fusion and task-aware routing. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3729936

Continual text-to-video retrieval with frame fusion and task-aware routing

2025

Journal Article

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering

Liang, Xurong, Chen, Tong, Yuan, Wei and Yin, Hongzhi (2025). Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. ACM Transactions on Information Systems, 43 (4) 108, 1-29. doi: 10.1145/3742424

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering

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

ConPCAC: conditional lossless point cloud attribute compression via spatial decomposition

2025

Conference Publication

CADRL: category-aware dual-agent reinforcement learning for explainable recommendations over knowledge graphs

Zheng, Shangfei, Yin, Hongzhi, Chen, Tong, Kong, Xiangjie, Hou, Jian and Zhao, Pengpeng (2025). CADRL: category-aware dual-agent reinforcement learning for explainable recommendations over knowledge graphs. 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, Hong Kong, 19-23 May 2025. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde65448.2025.00017

CADRL: category-aware dual-agent reinforcement learning for explainable recommendations over knowledge graphs

2025

Conference Publication

Graph condensation: foundations, methods and prospects

Yin, Hongzhi, Gao, Xinyi, Yu, Junliang, Qiu, Ruihong, Chen, Tong, Nguyen, Quoc Viet Hung and Huang, Zi (2025). Graph condensation: foundations, methods and prospects. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715862

Graph condensation: foundations, methods and prospects

2025

Conference Publication

BiasNavi: LLM-Empowered Data Bias Management

Yu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. ACM Web Conference 2025 (WWW'25), Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715169

BiasNavi: LLM-Empowered Data Bias Management

2025

Journal Article

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs

Zheng, Shangfei, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Chen, Wei and Zhao, Lei (2025). Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs. IEEE Transactions on Knowledge and Data Engineering, 37 (5), 2405-2419. doi: 10.1109/tkde.2025.3546686

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs

2025

Conference Publication

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition

Gao, Xinyi, Ye, Guanhua, Chen, Tong, Zhang, Wentao, Yu, Junliang and Yin, Hongzhi (2025). Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714916

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition

2025

Conference Publication

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective

Tran, Hung Vinh, Chen, Tong, Ye, Guanhua, Nguyen, Quoc Viet Hung, Zheng, Kai and Yin, Hongzhi (2025). On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714921

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective

2025

Conference Publication

Epidemiology-informed Network for Robust Rumor Detection

Jiang, Wei, Chen, Tong, Gao, Xinyi, Zhang, Wentao, Cui, Lizhen and Yin, Hongzhi (2025). Epidemiology-informed Network for Robust Rumor Detection. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714610

Epidemiology-informed Network for Robust Rumor Detection

2025

Journal Article

Graph condensation: a survey

Gao, Xinyi, Yu, Junliang, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Graph condensation: a survey. IEEE Transactions on Knowledge and Data Engineering, 37 (4), 1819-1837. doi: 10.1109/tkde.2025.3535877

Graph condensation: a survey

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

Special topic on cloud-edge collaboration for on-device recommendation

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

Robust federated contrastive recommender system against targeted model poisoning attack

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

Towards secure and robust recommender systems: a data-centric perspective

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

A thorough performance benchmarking on lightweight embedding-based recommender systems

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

Databases Theory and Applications : 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16–18, 2024, Proceedings

2025

Conference Publication

Enhancing treatment effect estimation via active learning: a counterfactual covering perspective

Wen, Hechuan, Chen, Tong, Gong, Mingming, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Enhancing treatment effect estimation via active learning: a counterfactual covering perspective. 42nd International Conference on Machine Learning, ICML 2025, Vancouver, Canada, 13-19 July 2025. SAN DIEGO: ML Research Press.

Enhancing treatment effect estimation via active learning: a counterfactual covering perspective

2025

Conference Publication

Towards propagation-aware representation learning for supervised social media graph analytics

Jiang, Wei, Chen, Tong, Yuan, Wei, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Towards propagation-aware representation learning for supervised social media graph analytics. 2025 IEEE International Conference on Data Mining (ICDM), Washington, DC, United States, 12-15 November 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM65498.2025.00073

Towards propagation-aware representation learning for supervised social media graph analytics

2025

Journal Article

Preface

Chen, Tong, Cao, Yang, Nguyen, Quoc Viet Hung and Nguyen, Thanh Tam (2025). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15449 LNCS.

Preface

2025

Journal Article

Revisit Point Cloud Quality Assessment: Current Advances and a Multiscale-Inspired Approach

Zhang, Junzhe, Chen, Tong, Ding, Dandan and Ma, Zhan (2025). Revisit Point Cloud Quality Assessment: Current Advances and a Multiscale-Inspired Approach. IEEE Transactions on Visualization and Computer Graphics, 31 (10), 8886-8899. doi: 10.1109/TVCG.2025.3582309

Revisit Point Cloud Quality Assessment: Current Advances and a Multiscale-Inspired Approach