| 2026 | AAAI | RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation. | Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang |
| 2026 | KSEM | Multimodal Named Entity Recognition via Semantic Reasoning and Knowledge Guidance. | Xue Wang, Liping Zhang, Sheng Yan, Min Hou, Yu He |
| 2026 | WWW | WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging. | Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei |
| 2026 | WWW | VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models. | Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang |
| 2025 | IJCAI | Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness. | Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou |
| 2025 | KDD | TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation. | Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian |
| 2025 | KDD | InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. | Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian |
| 2025 | WWW | Fair Personalized Learner Modeling Without Sensitive Attributes. | Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang |
| 2025 | SIGIR | Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. | Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu |
| 2024 | IJCAI | Pre-training General User Representation with Multi-type APP Behaviors. | Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu |
| 2024 | SIGIR | Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. | Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang |
| 2023 | IJCAI | Exploiting Non-Interactive Exercises in Cognitive Diagnosis. | Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang |
| 2022 | WWW | Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. | Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian |
| 2022 | SIGIR | Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. | Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu |
| 2021 | AAAI | Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. | Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou |
| 2021 | CIKM | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. | Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2020 | ICDM | STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. | Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu |
| 2019 | IJCAI | Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. | Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu |
| 2018 | WSDM | SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. | Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu |
| 2016 | ICNC | Research on incentive mechanism in network education platform. | Min Hou, Jun Han, Jiasha Zhang, Jing Liu |
| 2008 | MDM | Follow Me, Follow You - Spatiotemporal Community Context Modeling and Adaptation for Mobile Information Systems. | Yiwei Cao, Ralf Klamma, Min Hou, Matthias Jarke |
| 2006 | PDPTA | STEP-Compliant CAD/CAM Integration. | Haiying Huang, Jiati Deng, Min Hou |