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2027 Journal Article Handling multiple, dynamic, and interactive personas in LBSNs with graphs of agentsDoan, Viet Hung, Pham, Trinh, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Jo, Jun and Nguyen, Thanh Tam (2027). Handling multiple, dynamic, and interactive personas in LBSNs with graphs of agents. Information Sciences, 759 124043, 1-20. doi: 10.1016/j.ins.2026.124043 |
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2026 Journal Article Secure Recommender Systems: A Co-evolutionary Survey of Vulnerabilities, Attacks, and DefensesWang, Zongwei, Gao, Min, Yu, junliang, Li, Sijia, Zhou, Lei, Cheng, Mingchao, Liu, Juntao, Chen, Tong, Sadiq, Shazia and Yin, Hongzhi (2026). Secure Recommender Systems: A Co-evolutionary Survey of Vulnerabilities, Attacks, and Defenses. ACM Transactions on Information Systems 3849811. doi: 10.1145/3849811 |
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2026 Journal Article A survey of social network simulation in the LLM era: from classical models to Generative AgentsNguyen, Thanh Tam, Pham, Trinh, Huynh, Viet, Nguyen, Minh Hieu, Vo, Bay, Qu, Liang, Li, Jianxin, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2026). A survey of social network simulation in the LLM era: From classical models to Generative Agents. Knowledge-Based Systems, 352 116947, 116947-352. doi: 10.1016/j.knosys.2026.116947 |
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2026 Journal Article FedRSFL: Federated Recommender Systems with Feature-Level User Data SharingYang, Chaoqun, Nguyen, Quoc Viet Hung, Yin, Hongzhi and Qu, Liang (2026). FedRSFL: Federated Recommender Systems with Feature-Level User Data Sharing. Neural Networks 109810, 109810. doi: 10.1016/j.neunet.2026.109810 |
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2026 Journal Article RuleAgent: discovering rules for recommendation denoising with autonomous language agentsWang, Zongwei, Gao, Min, Yu, junliang, Hou, Yupeng, Sadiq, Shazia and Yin, Hongzhi (2026). RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents. ACM Transactions on Information Systems 3841469. doi: 10.1145/3841469 |
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2026 Journal Article Efficient prompt learning for traffic forecastingZhang, Qianru, Gao, Xinyi, Zhou, Alexander, Cheng, Reynold, Yiu, Siu-Ming and Yin, Hongzhi (2026). Efficient prompt learning for traffic forecasting. VLDB Journal, 35 45. doi: 10.1007/s00778-026-00983-7 |
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2026 Journal Article Self-gating attention for efficient time series forecastingWang, Dezheng, Chen, Tong, Yuan, Wei, Chen, Congyan, Li, Shihua and Yin, Hongzhi (2026). Self-gating attention for efficient time series forecasting. IEEE Transactions on Industrial Informatics. doi: 10.1109/tii.2026.3710167 |
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2026 Journal Article Multi-agents based user values mining for recommendationChen, Lijian, Yuan, Wei, Chen, Tong, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2026). Multi-agents based user values mining for recommendation. Data Science and Engineering, 1-20. doi: 10.1007/s41019-026-00349-7 |
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2026 Journal Article H Mamba: hyperbolic mamba for sequential recommendationZhang, Qianru, Wen, Honggang, Yuan, Wei, Chen, Crystal, Yang, Menglin, Yiu, Siu-Ming and Yin, Hongzhi (2026). H Mamba: hyperbolic mamba for sequential recommendation. ACM Transactions on Information Systems, 44 (5) 3811405, 1-27. doi: 10.1145/3811405 |
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2026 Journal Article Cassette: case-to-case structural distillation for efficient legal case retrievalTang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2026). Cassette: case-to-case structural distillation for efficient legal case retrieval. ACM Transactions on Information Systems, 44 (5) 3816732, 1-27. doi: 10.1145/3816732 |
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2026 Journal Article A systematic survey and benchmark of deep learning for molecular property prediction in the foundation model eraLi, Zongru, Chen, Xingsheng, Wen, Honggang, Zhang, Regina Qianru, Li, Ming, Zhang, Xiaojin, Yin, Hongzhi, Yang, Qiang, Lam, Kwok-Yan, Lio, Pietro and Yiu, Siu-Ming (2026). A systematic survey and benchmark of deep learning for molecular property prediction in the foundation model era. Journal of Chemical Theory and Computation, 22 (10) acs.jctc.5c02081, 4866-4887. doi: 10.1021/acs.jctc.5c02081 |
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2026 Journal Article Tackling data heterogeneity in federated time series forecastingYuan, Wei, Yang, Chaoqun, Zhao, Xiangyu, Nguyen, Quoc Viet Hung, Cao, Yang, He, Tieke and Yin, Hongzhi (2026). Tackling data heterogeneity in federated time series forecasting. Science China-Information Sciences, 69 (5) 152102. doi: 10.1007/s11432-025-4553-x |
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2026 Journal Article Handling data sparsity and model poisoning attacks in federated sequential recommender systemsNguyen, Minh Hieu, Nguyen, Thanh Tam, Jo, Jun, Nguyen, Duc Anh, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2026). Handling data sparsity and model poisoning attacks in federated sequential recommender systems. Knowledge-Based Systems, 338 115545, 1-12. doi: 10.1016/j.knosys.2026.115545 |
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2026 Journal Article A survey of generative techniques for spatial-temporal data miningZhang, Qianru, Wang, Haixin, Wen, Honggang, Long, Cheng, Su, Liangcai, He, Xingwei, Wu, Tailin, Jensen, Christian S., Yiu, Siu-Ming and Yin, Hongzhi (2026). A survey of generative techniques for spatial-temporal data mining. Data Science and Engineering, 11 (3), 513-537. doi: 10.1007/s41019-026-00346-w |
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2026 Journal Article A comprehensive survey on imbalanced data learningGao, Xinyi, Xie, Dongting, Zhang, Yihang, Wang, Zhengren, Chen, Chong, He, Conghui, Yin, Hongzhi and Zhang, Wentao (2026). A comprehensive survey on imbalanced data learning. Frontiers of Computer Science, 20 (11) 2011622. doi: 10.1007/s11704-025-50274-7 |
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2026 Journal Article A survey on sequential recommendationPan, Li-Wei, Pan, Wei-Ke, Wei, Mei-Yan, Yin, Hong-Zhi and Ming, Zhong (2026). A survey on sequential recommendation. Frontiers of Computer Science, 20 (3) 2003606. doi: 10.1007/s11704-025-41329-w |
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2026 Journal Article Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive LearningYang, Haoran, Chen, Hongxu, Zhao, Xiangyu, Zhang, Sixiao, Sun, Xiangguo, Li, Qian, Yin, Hongzhi and Xu, Guandong (2026). Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning. CAAI Transactions on Intelligence Technology cit2.70102, 1-14. doi: 10.1049/cit2.70102 |
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2026 Journal Article PPA plus plus : Preference Prototype-Aware Learning with Large Language Model for Universal Cross-Domain RecommendationZhang, Yuxi, Zhang, Ji, Xu, Feiyang, Chen, Lvying, Li, Bohan, Wang, Ning, Tu, Huawei, Guo, Lei and Yin, Hongzhi (2026). PPA plus plus : Preference Prototype-Aware Learning with Large Language Model for Universal Cross-Domain Recommendation. Data Science and Engineering, 11 (1), 213-229. doi: 10.1007/s41019-025-00322-w |
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2026 Journal Article Sparse gradient training for recommender systemsQu, Yunke, Qu, Liang, Chen, Tong, Zhao, Xiangyu, Li, Jianxin and Yin, Hongzhi (2026). Sparse gradient training for recommender systems. Data Science and Engineering, 11 (1), 230-247. doi: 10.1007/s41019-025-00327-5 |
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2026 Journal Article DeepCGC: unveiling the deep clustering mechanism of fast graph condensationGao, Xinyi, Li, Wenjie, Zhao, Xiangyu, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2026). DeepCGC: unveiling the deep clustering mechanism of fast graph condensation. IEEE Transactions on Knowledge and Data Engineering, 38 (3), 1575-1588. doi: 10.1109/tkde.2026.3655841 |
