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 | 400 | 2018 |
Explainable fashion recommendation: A semantic attribute region guided approach M Hou, L Wu, E Chen, Z Li, VW Zheng, Q Liu IJCAI 2019, 2019 | 97 | 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 | 75 | 2020 |
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 | 36 | 2021 |
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 |
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 | 28 | 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 | 20 | 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 | 16 | 2021 |
Exploiting non-interactive exercises in cognitive diagnosis F Yao, Q Liu, M Hou, S Tong, Z Huang, E Chen, J Sha, S Wang IJCAI 2023, 2023 | 13 | 2023 |
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 | 8 | 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 SIGIR 2024, 2024 | 7 | 2024 |
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 | 6 | 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 | 4 | 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 | 3 | 2024 |
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 | 1 | 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, 29461-29477, 2023 | 1 | 2023 |
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 |
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models M Hou, Y Wu, C Xu, YH Huang, C Bai, L Wu, J Bian KDD 2025, 2024 | | 2024 |
Pre-training General User Representation with Multi-type APP Behaviors Y Zhang, M Hou, K Zhang, Y Yuan, C Song, Z Ye, E Chen, Y Yu IJCAI 2024, 2024 | | 2024 |
Fair Personalized Learner Modeling Without Sensitive Attributes H Xu, M Hou, L Wu, F Liu, Y Yang, H Bai, R Hong, M Wang THE WEB CONFERENCE 2025, 0 | | |