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2026 Journal Article ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge GraphsZheng, Shangfei, Gao, Yunjun, Liu, An, Li, Wenhao, Chen, Tong and Yin, Hongzhi (2026). ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge Graphs. IEEE Transactions on Knowledge and Data Engineering, 38 (5), 1-14. doi: 10.1109/tkde.2026.3666242 |
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2026 Journal Article M2Rec: Multi-scale Mamba for efficient sequential RecommendationZhang, Qianru, Qu, Liang, Wen, Honggang, Huang, Dong, Yiu, Siu-Ming, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2026). M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-14. doi: 10.1109/TKDE.2026.3700323 |
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2025 Journal Article ZhiFangDanTai: fine-tuning graph-based retrieval-augmented generation model for traditional Chinese medicine formulaZhang, Zixuan, Hao, Bowen, Li, Yingjie and Yin, Hongzhi (2025). ZhiFangDanTai: fine-tuning graph-based retrieval-augmented generation model for traditional Chinese medicine formula. IEEE Journal of Biomedical and Health Informatics, 30 (4), 3118-3131. doi: 10.1109/jbhi.2025.3607819 |
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2025 Journal Article When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in RecommendationWang, Zongwei, Gao, Min, Yu, Junliang, Sadiq, Shazia, Yin, Hongzhi and Liu, Ling (2025). When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation. ACM Transactions on Information Systems, 44 (2) 3779448, 1-30. doi: 10.1145/3779448 |
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2025 Journal Article A data-driven scale-adaptive time-frequency convolutional network for long sequence time-series forecastingZhang, Zhiqiang, Wang, Weiqing, Zhou, Xin, Bai, Yu and Yin, Hongzhi (2025). A data-driven scale-adaptive time-frequency convolutional network for long sequence time-series forecasting. IEEE Transactions on Knowledge and Data Engineering, 37 (12), 6750-6764. doi: 10.1109/TKDE.2025.3619521 |
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2025 Journal Article DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendationZheng, 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 |
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2025 Journal Article On-device recommender systems: a comprehensive surveyYin, 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 |
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2025 Conference Publication NR-GCF: Graph Collaborative Filtering with Improved Noise ResistanceChen, Yijun, Li, Bohan, Li, Yicong, Song, Lixiang, Wang, Haofen, Wu, Wenlong, Zhuo, Junnan and Yin, Hongzhi (2025). NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance. 34th ACM International Conference on Information and Knowledge Management CIKM 2025, Seoul, Korea, 10 - 14 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746252.3761342 |
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2025 Conference Publication HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal LearningZhang, Qianru, Gao, Xinyi, Wang, Haixin, Huang, Dong, Yiu, Siu-Ming and Yin, Hongzhi (2025). HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning. 34th ACM International Conference on Information and Knowledge Management CIKM 2025, Seoul, Korea, 10 - 14 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746252.3761383 |
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2025 Conference Publication Efficient multimodal streaming recommendation via Expandable Side Mixture-of-ExpertsQu, Yunke, Qu, Liang, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Efficient multimodal streaming recommendation via Expandable Side Mixture-of-Experts. CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul, South Korea, 10-14 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746252.3761390 |
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2025 Conference Publication Harnessing large language models for Group POI recommendationsLong, Jing, Qu, Liang, Yu, Junliang, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Harnessing large language models for Group POI recommendations. 34th ACM International Conference on Information and Knowledge Management CIKM 2025, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761018 |
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2025 Journal Article Teaching MLPs to master heterogeneous graph-structured knowledge for efficient and accurate inferenceLiu, Yunhui, Gao, Xinyi, He, Tieke, Zhao, Jianhua and Yin, Hongzhi (2025). Teaching MLPs to master heterogeneous graph-structured knowledge for efficient and accurate inference. IEEE Transactions on Knowledge and Data Engineering (10), 6189-6201. doi: 10.1109/tkde.2025.3589596 |
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2025 Journal Article FELLAS: enhancing federated sequential recommendation with LLM as external servicesYuan, 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 |
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2025 Journal Article Enhancing language models with commonsense knowledge for multi-turn response selectionWang, 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 |
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2025 Journal Article BEOL-compatible annealing-free HfxZr1-xO2 ferroelectric device and investigation of cycle-dependent evolution mechanismsLiu, Yongkai, Yuan, Aolin, Song, Yifan, Yuan, Ruihong, Liu, Pei, Li, Zhenhai, Xu, Ze, Xu, Kangli, Yu, Jiajie, Meng, Jialin, Wang, Chen, Zhu, Hao, Sun, Qingqing, Zhang, David Wei, Wang, Tianyu and Chen, Lin (2025). BEOL-compatible annealing-free HfxZr1-xO2 ferroelectric device and investigation of cycle-dependent evolution mechanisms. IEEE Transactions on Electron Devices, 72 (10), 5422-5427. doi: 10.1109/TED.2025.3601559 |
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2025 Journal Article Knowledge enhancement and temporal aware for multi-behavior contrastive recommendationXuan, Hongrui, Li, Bohan, Wu, Wenlong, Liu, Yi and Yin, Hongzhi (2025). Knowledge enhancement and temporal aware for multi-behavior contrastive recommendation. ACM Transactions on Intelligent Systems and Technology, 16 (5) 102, 1-23. doi: 10.1145/3735512 |
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2025 Journal Article HGDNet: de-noised review-based rating prediction using hierarchical gating and discriminative networksMa, Jingwei, Wen, Jiahui, Zhu, Lei, Zhong, Mingyang, Xu, Yang, Guo, Lei and Yin, Hongzhi (2025). HGDNet: de-noised review-based rating prediction using hierarchical gating and discriminative networks. ACM Transactions on Information Systems, 43 (5) 140. doi: 10.1145/3746282 |
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2025 Conference Publication Data watermarking for sequential recommender systemsZhang, Sixiao, Long, Cheng, Yuan, Wei, Chen, Hongxu and Yin, Hongzhi (2025). Data watermarking for sequential recommender systems. 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: 10.1145/3711896.3736903 |
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2025 Conference Publication Multi-task offline reinforcement learning for online advertising in recommender systemsLiu, Langming, Wang, Wanyu, Zhang, Chi, Li, Bo, Yin, Hongzhi, Wei, Xuetao, Su, Wenbo, Zheng, Bo and Zhao, Xiangyu (2025). Multi-task offline reinforcement learning for online advertising in recommender systems. 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: 10.1145/3711896.3737250 |
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2025 Conference Publication FindRec: Stein-guided entropic flow for multi-modal sequential recommendationWang, Maolin, Xiao, Yutian, Wang, Binhao, Zhang, Sheng, Ye, Shanshan, Wang, Wanyu, Yin, Hongzhi, Guo, Ruocheng and Xu, Zenglin (2025). FindRec: Stein-guided entropic flow for multi-modal sequential recommendation. 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: 10.1145/3711896.3736968 |
