Multi-view clustering and semi-supervised classification with adaptive neighbours F Nie, G Cai, X Li Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 615 | 2017 |
Auto-weighted multi-view learning for image clustering and semi-supervised classification F Nie, G Cai, J Li, X Li IEEE Transactions on Image Processing 27 (3), 1501-1511, 2017 | 398 | 2017 |
Noninvasive self-attention for side information fusion in sequential recommendation C Liu, X Li, G Cai, Z Dong, H Zhu, L Shang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4249-4256, 2021 | 149 | 2021 |
Bars: Towards open benchmarking for recommender systems J Zhu, Q Dai, L Su, R Ma, J Liu, G Cai, X Xiao, R Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 99 | 2022 |
MINER: Multi-interest matching network for news recommendation J Li, J Zhu, Q Bi, G Cai, L Shang, Z Dong, X Jiang, Q Liu Findings of the association for computational linguistics: ACL 2022, 343-352, 2022 | 80 | 2022 |
FinalMLP: an enhanced two-stream MLP model for CTR prediction K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong Proceedings of the AAAI conference on artificial intelligence 37 (4), 4552-4560, 2023 | 76 | 2023 |
Final: Factorized interaction layer for ctr prediction J Zhu, Q Jia, G Cai, Q Dai, J Li, Z Dong, R Tang, R Zhang Proceedings of the 46th International ACM SIGIR conference on research and …, 2023 | 29 | 2023 |
Counterfactual learning for recommender system Z Dong, H Zhu, P Cheng, X Feng, G Cai, X He, J Xu, J Wen Proceedings of the 14th ACM Conference on Recommender Systems, 568-569, 2020 | 19 | 2020 |
Reloop: A self-correction continual learning loop for recommender systems G Cai, J Zhu, Q Dai, Z Dong, X He, R Tang, R Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 17 | 2022 |
Debiased recommendation with user feature balancing M Yang, G Cai, F Liu, J Jin, Z Dong, X He, J Hao, W Shao, J Wang, ... ACM Transactions on Information Systems 41 (4), 1-25, 2023 | 14 | 2023 |
Uncovering user interest from biased and noised watch time in video recommendation H Zhao, L Zhang, J Xu, G Cai, Z Dong, JR Wen Proceedings of the 17th ACM Conference on Recommender Systems, 528-539, 2023 | 12 | 2023 |
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time H Zhao, G Cai, J Zhu, Z Dong, J Xu, JR Wen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5 | 2024 |
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop J Zhu, G Cai, J Huang, Z Dong, R Tang, W Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
Pear: Personalized re-ranking with contextualized transformer for recommendation Y Li, J Zhu, W Liu, L Su, G Cai, Q Zhang, R Tang, X Xiao, X He Companion Proceedings of the Web Conference 2022, 62-66, 2022 | 5 | 2022 |
Unbiased Top- Learning to Rank with Causal Likelihood Decomposition H Zhao, J Xu, X Zhang, G Cai, Z Dong, JR Wen Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data J Huang, G Cai, J Zhu, Z Dong, R Tang, W Zhang, Y Yu Companion Proceedings of the ACM Web Conference 2024, 830-833, 2024 | 3 | 2024 |
Dual sequence transformer for query-based interactive recommendation G Cai, X Li, Q Dai, G Wang, Z Dong, C Zhang, X He, L Shang 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 139-144, 2021 | 3 | 2021 |
Method and apparatus for training search recommendation model, and method and apparatus for sorting search results CAI Guohao, G Wang, D Zhenhua, X Li, X He, H Zhu US Patent 12,210,577, 2025 | 2 | 2025 |
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking H Zhao, J Xu, X Zhang, G Cai, Z Dong, JR Wen Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 2 | 2023 |
Fashion Recommendation with a real Recommender System Flow Q Zhang, G Cai, W Guo, Y Han, Z Dong, R Tang, L Li Proceedings of the Recommender Systems Challenge 2022, 4-9, 2022 | 2 | 2022 |