Zhong Z, Liu H, Chen G, Ren B, Qin G, Wu Z. Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction, in SIGIR 2026. Melbourne, Australia; 2026.

Zhong Z, Liu H, Chen G, Qin G, Wu Z. Reinforcement Learning-Based Adaptive Ensemble for Sequential Recommendation, in ECML PKDD 2026. Naples, Italy; 2026.

Ren B, Guo H, Liu H, Tang X, Xue J, Wu Z. BPHD: Enterprise bankruptcy prediction with a hierarchical hypergraph and dual-decision experts. Information Sciences [Internet]. 2026;738:123142. 访问链接

Zhang Z, Liu H, Guo X, Sun T, Wu Z. Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation, in Fortieth AAAI Conference on Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026. AAAI Press; 2026:16424–16432. 访问链接

Zhang Z, Liu H, Sun T, Guo X, Wu Z. BH3-MedRec: Bilateral Hierarchical Heterogeneous Hypergraph Convolution Network for Medication Recommendation. ACM Transactions on Intelligent Systems and Technology [Internet]. 2026;17:23:1–23:25. 访问链接

Guo H, Sun T, Liu H, Wu Z. Adaptive Ensemble Learning With Category-Aware Attention and Local Contrastive Loss. IEEE Transactions on Circuits and Systems for Video Technology [Internet]. 2025;35:1224–1236. 访问链接

Guo H, Ren B, Liu H, Sun T, Wu Z. Enterprise Bankruptcy Prediction with Meta-path Denoising and Capsule Network Modeling, in The 30th International Conference on Database Systems for Advanced Applications, DASFAA 2025, Singapore, Singapore, May 26-29, 2025. Springer; 2025:203–218. 访问链接

Zhang X, Liu H, Wu Z. Heterogeneous Knowledge and Global-Local Structure Integration Framework for Drug Repositioning, in IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025, Wuhan, China, December 15-18, 2025. IEEE; 2025:1965–1969. 访问链接

Zhang Z, Liu H, Sun T, Guo X, Wu Z. HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation, in The 30th International Conference on Database Systems for Advanced Applications, DASFAA 2025, Singapore, Singapore, May 26-29, 2025. Springer; 2025:218–234. 访问链接

Du Y, Liu H, Zhu H, Song Y, Zheng Z, Wu Z. Quasi-Metric Learning for Bilateral Person-Job Fit. IEEE Transactions on Pattern Analysis and Machine Intelligence [Internet]. 2025;47:3947–3960. 访问链接

Du Y, Wang Z, Sun Z, Ma Y, Liu H, Zhang J. Disentangled Multi-interest Representation Learning for Sequential Recommendation, in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024. ACM; 2024:677–688. 访问链接

Sun T, Guo H, Zhang Z, Liu H, Wu Z. Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation, in Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024. SIAM; 2024:580–588. 访问链接

Du Y, Luo D, Yan R, Wang X, Liu H, Zhu H, Song Y, Zhang J. Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks, in Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, February 20-27, 2024, Vancouver, Canada. AAAI Press; 2024:8363–8371. 访问链接

Liu H, Zhu Y, Wu Z. Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering [Internet]. 2024;36:2490–2503. 访问链接

Chen J, Liu H, Guo H, Du Y, Wang Z, Song Y, Wu Z. Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation, in IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE; 2023:974–979. 访问链接

Du Y, Liu H, Song Y, Wang Z, Wu Z. Sequential ensemble learning for next item recommendation. Knowledge-Based Systems [Internet]. 2023;277:110809. 访问链接

Chen J, Liu H, Du Y, Wang Z, Song Y, Wu Z. Sequential Hypergraph Convolution Network for Next Item Recommendation, in The 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, Tianjin, China, April 17-20, 2023. Springer; 2023:389–405. 访问链接

Du Y, Liu H, Wu Z. M3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation, in The 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, Virtual Event, April 11-14, 2022. Springer; 2022:19–35. 访问链接

Fu B, Liu H, Zhao H, Zhu Y, Song Y, Zhang T, Wu Z. Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning, in The 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, Virtual Event, April 11-14, 2022. Springer; 2022:697–705. 访问链接

Zhang Y, Li Z, Zhou Q, Liu Z, Li C, Ma M, Cao Y, Liu H. AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications, in Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022. International Committee on Computational Linguistics; 2022:3042–3053. 访问链接