| Shine: Signed heterogeneous information network embedding for sentiment link prediction H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu Proceedings of the eleventh ACM international conference on web search and …, 2018 | 373 | 2018 |
| Explainable fashion recommendation: A semantic attribute region guided approach M Hou, L Wu, E Chen, Z Li, VW Zheng, Q Liu arXiv preprint arXiv:1905.12862, 2019 | 87 | 2019 |
| STGCN: a spatial-temporal aware graph learning method for POI recommendation H Han, M Zhang, M Hou, F Zhang, Z Wang, E Chen, H Wang, J Ma, Q Liu 2020 IEEE International Conference on Data Mining (ICDM), 1052-1057, 2020 | 49 | 2020 |
| Practical lessons for job recommendations in the cold-start scenario J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun Proceedings of the recommender systems challenge 2017, 1-6, 2017 | 36 | 2017 |
| Stock trend prediction with multi-granularity data: A contrastive learning approach with adaptive fusion M Hou, C Xu, Y Liu, W Liu, J Bian, L Wu, Z Li, E Chen, TY Liu Proceedings of the 30th ACM International Conference on Information …, 2021 | 28 | 2021 |
| Multi-granularity residual learning with confidence estimation for time series prediction M Hou, C Xu, Z Li, Y Liu, W Liu, E Chen, J Bian Proceedings of the ACM Web Conference 2022, 112-121, 2022 | 17 | 2022 |
| Clustering based behavior sampling with long sequential data for CTR prediction Y Zhang, E Chen, B Jin, H Wang, M Hou, W Huang, R Yu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 14 | 2022 |
| Ideography leads us to the field of cognition: A radical-guided associative model for chinese text classification H Tao, S Tong, K Zhang, T Xu, Q Liu, E Chen, M Hou Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13898 …, 2021 | 14 | 2021 |
| Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning M Cai, M Hou, L Chen, L Wu, H Bai, Y Li, M Wang ACM Transactions on Intelligent Systems and Technology, 2024 | 4 | 2024 |
| Gorec: a generative cold-start recommendation framework H Bai, M Hou, L Wu, Y Yang, K Zhang, R Hong, M Wang Proceedings of the 31st ACM international conference on multimedia, 1004-1012, 2023 | 4 | 2023 |
| Exploiting non-interactive exercises in cognitive diagnosis F Yao, Q Liu, M Hou, S Tong, Z Huang, E Chen, J Sha, S Wang Interaction 100 (200), 300, 2023 | 4 | 2023 |
| Multimodality Invariant Learning for Multimedia-Based New Item Recommendation H Bai, L Wu, M Hou, M Cai, Z He, Y Zhou, R Hong, M Wang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation H Bai, M Hou, L Wu, Y Yang, K Zhang, R Hong, M Wang IEEE Transactions on Big Data, 2024 | 2 | 2024 |
| Long-term Joint Scheduling for Urban Traffic X Liang, L Wu, J Chen, Y Liu, R Yu, M Hou, H Wu, Y Ye, Q Liu, E Chen arXiv preprint arXiv:1910.12283, 2019 | 1 | 2019 |
| Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction Y Liu, C Xu, M Hou, W Liu, J Bian, Q LiuMember, TY LiuFellow IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering H Yang, L He, M Hou, S Shen, R Li, J Hou, J Ma, J Zhao arXiv preprint arXiv:2406.00037, 2024 | | 2024 |
| AdaptSSR: pre-training user model with augmentation-adaptive self-supervised ranking Y Yu, Q Liu, K Zhang, Y Zhang, C Song, M Hou, Y Yuan, Z Ye, Z Zhang, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Combine and Compare: Graph Rationale Learning with Conditional Non-Rationale Sampling F Yao, L Yue, M Hou, Y Liu, J Liu, Q Liu | | |
