| 2026 | AAAI | Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation. | Zihan Zhang, Hongzhi Liu, Xiaoshuang Guo, Tianqi Sun, Zhonghai Wu |
| 2026 | SIGIR | Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction. | Zeheng Zhong, Hongzhi Liu, Gong Chen, Boyuan Ren, Guomin Qin, Zhonghai Wu |
| 2025 | DASFAA | Enterprise Bankruptcy Prediction with Meta-path Denoising and Capsule Network Modeling. | Hongrui Guo, Boyuan Ren, Hongzhi Liu, Tianqi Sun, Zhonghai Wu |
| 2025 | DASFAA | HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation. | Zihan Zhang, Hongzhi Liu, Tianqi Sun, Xiaoshuang Guo, Zhonghai Wu |
| 2024 | AAAI | Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. | Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang |
| 2024 | APWEB | Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. | Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu |
| 2024 | KDD | Disentangled Multi-interest Representation Learning for Sequential Recommendation. | Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang |
| 2024 | SDM | Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. | Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu |
| 2023 | ADMA | SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation. | Hongzhi Liu, Shiyu Zhu, Qianjin Feng, Yang Chen |
| 2023 | DASFAA | Sequential Hypergraph Convolution Network for Next Item Recommendation. | Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2023 | ICASSP | Towards a More Stable and General Subgraph Information Bottleneck. | Hongzhi Liu, Kaizhong Zheng, Shujian Yu, Badong Chen |
| 2023 | ICDM | Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. | Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2022 | ACL | Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems. | Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao |
| 2022 | COLING | AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. | Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu |
| 2022 | DASFAA | M | Yingpeng Du, Hongzhi Liu, Zhonghai Wu |
| 2022 | DASFAA | Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning. | Bin Fu, Hongzhi Liu, Hui Zhao, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu |
| 2021 | AAAI | Relation-Aware Neighborhood Matching Model for Entity Alignment. | Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du |
| 2021 | DASFAA | Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit. | Bin Fu, Hongzhi Liu, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu |
| 2021 | WWW | IFSpard: An Information Fusion-based Framework for Spam Review Detection. | Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu |
| 2020 | APWEB | Generalized Collaborative Personalized Ranking for Recommendation. | Bin Fu, Hongzhi Liu, Yang Song, Tao Zhang, Zhonghai Wu |
| 2020 | ECCV | Spiral Generative Network for Image Extrapolation. | Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng |
| 2019 | ASRU | Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. | Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu, Tao Qin, Tie-Yan Liu |
| 2019 | EMNLP | Data-Anonymous Encoding for Text-to-SQL Generation. | Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang |
| 2019 | EMNLP | Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. | Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang |
| 2019 | IJCAI | Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. | Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang |
| 2019 | Interspeech | Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. | Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu |
| 2018 | APWEB | Collaborative Probability Metric Learning. | Hongzhi Liu, Yingpeng Du, Zhonghai Wu |
| 2018 | ICDM | Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. | Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang |
| 2018 | PRICAI | Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. | Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu |
| 2018 | PRICAI | Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. | Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu |
| 2018 | WSDM | Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. | Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang |
| 2017 | AAAI | Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. | Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu |
| 2016 | ICDM | A Novel Bayesian Ensemble Pruning Method. | Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu |
| 2013 | IECON | High order sliding mode control of doubly-fed induction generator under unbalanced grid faults. | Rongwu Zhu, Zhe Chen, Xiaojie Wu, Hongzhi Liu |
| 2012 | AINA | Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity. | Hongzhi Liu, Zhonghai Wu, D. Frank Hsu |
| 2006 | CEC | Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware. | Zhongwen Luo, Hongzhi Liu |
| 2005 | ESANN | Self-Organizing Maps computing on Graphic Process Unit. | Zhongwen Luo, Hongzhi Liu, Zhengping Yang, Xincai Wu |
| 2005 | IJCNN | Artificial neural network computation on graphic process unit. | Zhongwen Luo, Hongzhi Liu, Xincai Wu |