Min Hou

According to our database, Min Hou authored at least 28 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modeling.

Yuxin Liao, Le Wu, Min Hou, Yu Wang, Han Wu, Meng Wang

CoRR, January, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Survey on Generative Recommendation: Data, Model, and Tasks.

Min Hou, Le Wu, Yuxin Liao, Yonghui Yang, Zhen Zhang, Changlong Zheng, Han Wu, Richang Hong

CoRR, October, 2025

Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

IEEE Trans. Big Data, June, 2025

MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers.

Lili Zhao, Qi Liu, Wei Chen, Liyi Chen, Ruijun Sun, Min Hou, Yang Wang, Shijin Wang

CoRR, April, 2025

MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation.

Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kun Zhang, Kai Zhang, Richang Hong, Meng Wang

CoRR, February, 2025

Fair Personalized Learner Modeling Without Sensitive Attributes.

Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang

Proceedings of the ACM on Web Conference 2025, 2025

Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective.

Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models.

Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness.

Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction.

Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu

IEEE Trans. Knowl. Data Eng., December, 2024

Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning.

Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang

ACM Trans. Intell. Syst. Technol., October, 2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking.

Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GoRec: A Generative Cold-start Recommendation Framework.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploiting Non-Interactive Exercises in Cognitive Diagnosis.

Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.

Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.

Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018