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2025

Journal Article

DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation

Zheng, Ruiqi, Qu, Liang, Ye, Guanhua, Chen, Tong, Shi, Yuhui and Yin, Hongzhi (2025). DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation. Information Sciences, 721 122570, 122570-721. doi: 10.1016/j.ins.2025.122570

DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation

2025

Journal Article

On-Device Recommender Systems: A Comprehensive Survey

Yin, Hongzhi, Qu, Liang, Chen, Tong, Yuan, Wei, Zheng, Ruiqi, Long, Jing, Xia, Xin, Shi, Yuhui and Zhang, Chengqi (2025). On-Device Recommender Systems: A Comprehensive Survey. Data Science and Engineering, 10 (4), 591-620. doi: 10.1007/s41019-025-00308-8

On-Device Recommender Systems: A Comprehensive Survey

2025

Conference Publication

MAXplain: A Multi-Agent System for Interactive Multimodal Hate Speech Detection

Riekers, Nils, Risius, Marten and Chen, Tong (2025). MAXplain: A Multi-Agent System for Interactive Multimodal Hate Speech Detection. New York, NY, USA: ACM. doi: 10.1145/3746027.3754474

MAXplain: A Multi-Agent System for Interactive Multimodal Hate Speech Detection

2025

Conference Publication

Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos

Zhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos. New York, NY, USA: ACM. doi: 10.1145/3746027.3758257

Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos

2025

Journal Article

EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiome

Luo, Hao, Bai, Defeng, Zhu, Zhihao, Yousuf, Salsabeel, Yang, Haifei, Xun, Jiani, Zeng, Meiyin, Wang, Yao, Gao, Yunyun, Peng, Kai, Xu, Shanshan, Zhou, Yuanping, Zhang, Tianyuan, Ma, Chuang, Hou, Huiyu, Wan, Xiulin, Zhou, Yang, Jia, Baolei, Huang, Shi, Gan, Renyou, Wen, Tao, Chen, Tong, Chen, Xia, Li, Xiaofang and Liu, Yong-Xin (2025). EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiome. Advanced Science e12447. doi: 10.1002/advs.202512447

EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiome

2025

Journal Article

<i>iMeta</i> Conference 2025: Creating high‐impact international journals

Zhu, Zhihao, Zhang, Lin, Yao, Xiaofang, Zeng, Meiyin, Wang, Yao, Luo, Hao, Zhou, Yuanping, Zhang, Tianyuan, Xun, Jiani, Bai, Defeng, Yang, Haifei, Xu, Shanshan, Zhou, Yang, Gao, Yunyun, Xu, Jinbo, Han, Wei, Shen, ZiAng, Zhang, Bangzhou, Ma, Tengfei, Wan, Xiu‐Lin, Ma, Chuang, Hui, Fengjiao, Bai, Hao, Bai, Lijing, Bai, Qing, Bao, Qiangguo, Cao, Guodong, Cao, Peng, Cao, Qiqi ... Liu, Yong‐Xin (2025). iMeta Conference 2025: Creating high‐impact international journals. iMeta e70086. doi: 10.1002/imt2.70086

<i>iMeta</i> Conference 2025: Creating high‐impact international journals

2025

Book Chapter

Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts

Jiang, Haiyang, Chen, Tong, Zhang, Wentao, Nguyen, Quoc Viet Hung, Yuan, Yuan, Li, Yong and Yin, Hongzhi (2025). Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts. Lecture Notes in Computer Science. (pp. 141-159) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-06066-2_9

Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts

2025

Journal Article

<i>iMeta</i>: Boosting academic sharing and collaboration via social media

Yao, Xiaofang, Wu, Jiqiu, Ma, Tengfei, Shi, Chun‐Lin, Lan, Canhui, Li, Danyi, Fu, Jingyuan, Shen, Ziang, Chen, Tong and Liu, Yong‐Xin (2025). iMeta: Boosting academic sharing and collaboration via social media. iMeta, 4 (5) e70085. doi: 10.1002/imt2.70085

<i>iMeta</i>: Boosting academic sharing and collaboration via social media

2025

Journal Article

FELLAS: enhancing federated sequential recommendation with LLM as external services

Yuan, Wei, Yang, Chaoqun, Ye, Guanhua, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2025). FELLAS: enhancing federated sequential recommendation with LLM as external services. ACM Transactions on Information Systems, 43 (6) 144, 1-24. doi: 10.1145/3709138

FELLAS: enhancing federated sequential recommendation with LLM as external services

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, 16 (12), 10421-10441. doi: 10.1007/s13042-025-02804-9

Enhancing language models with commonsense knowledge for multi-turn response selection

2025

Conference Publication

Contrastive graph condensation: advancing data versatility through self-supervised learning

Gao, Xinyi, Li, Yayong, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Contrastive graph condensation: advancing data versatility through self-supervised learning. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3-7 August 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3711896.3736892

Contrastive graph condensation: advancing data versatility through self-supervised learning

2025

Journal Article

RobGC: towards robust graph condensation

Gao, Xinyi, Yin, Hongzhi, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Cui, Bin (2025). RobGC: towards robust graph condensation. IEEE Transactions on Knowledge and Data Engineering, 37 (8), 4791-4804. doi: 10.1109/tkde.2025.3569629

RobGC: towards robust graph condensation

2025

Conference Publication

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

Wen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

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

Conference Publication

Diversity-aware dual-promotion poisoning attack on sequential recommendation

Zhao, Yuchuan, Chen, Tong, Yu, Junliang, Zheng, Kai, Cui, Lizhen and Yin, Hongzhi (2025). Diversity-aware dual-promotion poisoning attack on sequential recommendation. 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: 10.1145/3726302.3729955

Diversity-aware dual-promotion poisoning attack on sequential recommendation

2025

Conference Publication

Towards distribution matching between collaborative and language spaces for generative recommendation

Zhang, Yi, Zhang, Yiwen, Wang, Yu, Chen, Tong and Yin, Hongzhi (2025). Towards distribution matching between collaborative and language spaces for generative recommendation. 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: 10.1145/3726302.3730098

Towards distribution matching between collaborative and language spaces for generative recommendation

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

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

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

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