侯旻，博士，硕士生导师。主要研究方向包括个性化推荐，用户建模，时序数据挖掘等。2023年博士毕业于中国科学技术大学。近年来在CCF A类国际会议和期刊上发表论文十余篇。担任多个期刊和会议的审稿人，包括 IEEE Transactions on Knowledge Discovery and Data Engineering (TKDE), Elsevier Pattern Recognition (PR), ACM Transactions on Knowledge Discovery and Data (TKDD), IEEE Transactions on Big Data (TBD), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), AAAI, SIGKDD, ACM Multimedia, IJCAI, SIGIR, WWW 等 。

欢迎有较强的自我驱动力，对科研有热情的同学发送邮件（hmhoumin@gmail.com）与我联系！

近期研究成果

[1] Min Hou#, Yueying Wu#, Chang Xu*, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian. InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. Accepted. KDD'25: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (CCF A类会议)

[2] Yuren Zhang, Min Hou*, Kai Zhang*, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu. Pre-training General User Representation with Multi-type APP Behaviors. IJCAI’24: Proceedings of the 33rd International Joint Conference on Artificial Intelligence. 2024-8-3至2024-8-9, Jeju, South Korea. (CCF A类会议)

[3] Haoyue Bai, Le Wu*, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang. Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. SIGIR’24: The 47^th  International ACM SIGIR Conference on Research and Development in Information Retrieval. 2024-7-14至2024-7-18, Washington D.C, USA. (CCF A类会议)

[4] Yang Liu, Chang Xu*, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu. Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. TKDE’24: IEEE Transactions on Knowledge and Data Engineering. Dec. 2024, pp. 7973-7985, vol. 36. (CCF A类期刊)

[5] Miaomiao Cai, Min Hou, Lei Chen, Le Wu*, Haoyue Bai, Yong Li, Meng Wang*. Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. TIST’24: ACM Transactions on Intelligent Systems and Technology. 2024: 2157-6904.(ACM Trans.期刊)

[6] Haoyue Bai; Min Hou*; Le Wu*; Yonghui Yang; Kun Zhang; Richang Hong; Meng Wang ; Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation, IEEE Transactions on Big Data, 2024: 1-12 (IEEE Trans. 期刊)

[7] Haoyue Bai; Min Hou*; Le Wu; Yonghui Yang; Kun Zhang; Richang Hong; Meng Wang ; GoRec: A Generative Cold-start Recommendation Framework, MM'23: The 31st ACM International Conference on MuItimedia, Ottawa, Canada, 2023-10-29至2023-11-3 (CCF A类会议)

[8] Fangzhou Yao, Qi Liu*, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang. Exploiting Non-Interactive Exercises in Cognitive Diagnosis. IJCAI’23: Proceedings of the 32^nd International Joint Conference on Artificial Intelligence. 2023-8-19至2023-8-25, Macau, China. (CCF A类会议)

[9] Yang Yu, Qi Liu*, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu. AdaptSSR:Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking. NeurIPS’23: Proceedings of the 37th Annual Conference on Neural Information Processing Systems. 2023-12-10至2023-12-16, New Orleans, USA.(CCF A类会议)

[10] 杨宏宇，马建辉*，侯旻，沈双宏，陈恩红. 基于多模态对比学习的代码表征增强预训练方法. 软件学报’23, 2023: 35(4):0  (CCF A类中文期刊)

[11] Min Hou; Chang Xu; Zhi Li; Yang Liu; Weiqing Liu; Enhong Chen; Jiang Bian ; MultiGranularity Residual Learning with Confidence Estimation for Time Series Prediction, WWW' 22 : Proceedings of the ACM Web Conference 2022, Virtual Event, Lyon France, 2022-4-25至2022-4-29 (CCF A类会议)

[12] Yuren Zhang, Enhong Chen*, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu. Clustering Based Behavior Sampling with Long Sequential Data for CTR Prediction. SIGIR’22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022-7-11至2022-7-15, New York, USA (CCF A类会议)

[13] Min Hou; Chang Xu; Yang Liu; Weiqing Liu; Jiang Bian; Le Wu; Zhi Li; Enhong Chen; Tie-Yan Liu ; Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion, CIKM'21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, Virtual Event, Queensland, 2021-11-1至2021-11-5 (CCF B类会议)

[14] Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen*, Min Hou. Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. AAAI’21: Proceedings of the 35th AAAI Conference on Artificial Intelligence. 2021-2-2至2021-2-9. Virtual Conference. (CCF A类会议)

[15] Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma*, Qi Liu. STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. ICDM’20: Proceedings of the 20th IEEE International Conference on Data Mining. 2020-11-17至2020-11-20, Sorrento, Italy. (CCF B类会议)

[16] Min Hou; Le Wu; Enhong Chen; Zhi Li; Vincent W. Zheng; Qi Liu ; Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach, IJCAI'19: Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macao, China, 2019-8-10至2019-8-16 (CCF A类会议)

[17] Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo*, Qi Liu. SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. WSDM’18: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. 2018-2-5至2018-2-9, Los Angeles, USA. (CCF B类会议)

[18] Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun. Practical Lessons for Job Recommendations in the Cold-Start Scenario. RecSysChallenge’17: Proceedings of the Recommender Systems Challenge 2017. (国际推荐系统竞赛)

主持科研项目

国家自然科学基金（青年项目）

合肥工业大学-学术新人提升计划

合肥工业大学-青年教师科研创新启动专项