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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 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. 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, 1-18. doi: 10.1007/s41019-025-00327-5 |
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2026 Journal Article Towards on-device personalization: cloud-device collaborative data augmentation for efficient on-device language modelZhong, Zhaofeng, Yuan, Wei, Qu, Liang, Chen, Tong, Wang, Hao, Zhao, Xiangyu and Yin, Hongzhi (2026). Towards on-device personalization: cloud-device collaborative data augmentation for efficient on-device language model. ACM Transactions on Intelligent Systems and Technology, 17 (1) 3779452, 1-1. doi: 10.1145/3779452 |
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2026 Journal Article Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative FilteringLiang, Xurong, Chen, Tong, Yuan, Wei and Yin, Hongzhi (2026). Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. ACM Transactions on Information Systems, 44 (1) C1, 1-1. doi: 10.1145/3785705 |
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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, 1-14. doi: 10.1109/tkde.2026.3666242 |
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2026 Journal Article A review of instruction-guided image editingNguyen, Thanh Tam, Ren, Zhao, Pham, Trinh, Nguyen, Phi Le, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2026). A review of instruction-guided image editing. Engineering Applications of Artificial Intelligence, 163 112953, 112953. doi: 10.1016/j.engappai.2025.112953 |
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2026 Journal Article Scalable and effective negative sample generation for hyperedge predictionQu, Shilin, Wang, Weiqing, Li, Yuan-Fang, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2026). Scalable and effective negative sample generation for hyperedge prediction. Neural Networks, 193 108034, 1-13. doi: 10.1016/j.neunet.2025.108034 |
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2026 Journal Article DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph CondensationGao, Xinyi, Li, Wenjie, Chen, Tong, Zhao, Xiangyu, 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, PP (99), 1-14. doi: 10.1109/tkde.2026.3655841 |
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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 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 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 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 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 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 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 RobGC: towards robust graph condensationGao, 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 |
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2025 Journal Article A survey of machine unlearningNguyen, Thanh Tam, Huynh, Thanh Trung, Ren, Zhao, Nguyen, Phi Le, Liew, Alan Wee-Chung, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2025). A survey of machine unlearning. ACM Transactions on Intelligent Systems and Technology, 16 (5) 3749987, 1-46. doi: 10.1145/3749987 |
