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2026

Journal Article

A review of instruction-guided image editing

Nguyen, 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 (Part 2) 112953, 1-35. doi: 10.1016/j.engappai.2025.112953

A review of instruction-guided image editing

2026

Journal Article

Scalable and effective negative sample generation for hyperedge prediction

Qu, 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

Scalable and effective negative sample generation for hyperedge prediction

2026

Journal Article

Self-Gating Attention for Efficient Time Series Forecasting

Wang, 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, PP (99), 1-12. doi: 10.1109/tii.2026.3710167

Self-Gating Attention for Efficient Time Series Forecasting

2025

Journal Article

ZhiFangDanTai: fine-tuning graph-based retrieval-augmented generation model for traditional Chinese medicine formula

Zhang, 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

ZhiFangDanTai: fine-tuning graph-based retrieval-augmented generation model for traditional Chinese medicine formula

2025

Journal Article

When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation

Wang, 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

When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation

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

A data-driven scale-adaptive time-frequency convolutional network for long sequence time-series forecasting

Zhang, 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

A data-driven scale-adaptive time-frequency convolutional network for long sequence time-series forecasting

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

Journal Article

Teaching MLPs to master heterogeneous graph-structured knowledge for efficient and accurate inference

Liu, 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

Teaching MLPs to master heterogeneous graph-structured knowledge for efficient and accurate inference

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

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

BEOL-compatible annealing-free HfxZr1-xO2 ferroelectric device and investigation of cycle-dependent evolution mechanisms

Liu, 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

BEOL-compatible annealing-free HfxZr1-xO2 ferroelectric device and investigation of cycle-dependent evolution mechanisms

2025

Journal Article

Knowledge enhancement and temporal aware for multi-behavior contrastive recommendation

Xuan, 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

Knowledge enhancement and temporal aware for multi-behavior contrastive recommendation

2025

Journal Article

HGDNet: de-noised review-based rating prediction using hierarchical gating and discriminative networks

Ma, 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

HGDNet: de-noised review-based rating prediction using hierarchical gating and discriminative networks

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

Journal Article

A survey of machine unlearning

Nguyen, 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

A survey of machine unlearning

2025

Journal Article

Automated prompting for non-overlapping cross-domain sequential recommendation

Guo, Lei, Wang, Chunxiao, Wang, Xinhua, Zhu, Lei and Yin, Hongzhi (2025). Automated prompting for non-overlapping cross-domain sequential recommendation. IEEE Transactions on Knowledge and Data Engineering, 37 (9), 4990-5003. doi: 10.1109/tkde.2025.3589721

Automated prompting for non-overlapping cross-domain sequential 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

Journal Article

Coherence-guided preference disentanglement for cross-domain recommendations

Xiang, Zongyi, Zhang, Yan, Duan, Lixin, Yin, Hongzhi and Ivor, W. Tsang (2025). Coherence-guided preference disentanglement for cross-domain recommendations. ACM Transactions on Information Systems, 43 (4) 109, 1-28. doi: 10.1145/3742855

Coherence-guided preference disentanglement for cross-domain recommendations

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