| A deep reinforcement learning framework for rebalancing dockless bike sharing systems L Pan, Q Cai, Z Fang, P Tang, L Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 1393-1400, 2019 | 187 | 2019 |
| Softmax deep double deterministic policy gradients L Pan, Q Cai, L Huang Advances in neural information processing systems 33, 11767-11777, 2020 | 100 | 2020 |
| Reinforcement Mechanism Design for e-commerce Q Cai, A Filos-Ratsikas, P Tang, Y Zhang Proceedings of the 2018 World Wide Web Conference, 1339-1348, 2018 | 88 | 2018 |
| Reinforcement learning with dynamic boltzmann softmax updates L Pan, Q Cai, Q Meng, W Chen, L Huang, TY Liu IJCAI-2020, 2019 | 48 | 2019 |
| Facility location with minimax envy Q Cai, A Filos-Ratsikas, P Tang IJCAI 2016, 137-143, 2016 | 46 | 2016 |
| Policy gradients for contextual recommendations F Pan, Q Cai, P Tang, F Zhuang, Q He The World Wide Web Conference, 1421-1431, 2019 | 44 | 2019 |
| Reinforcement mechanism design for fraudulent behaviour in e-commerce Q Cai, A Filos-Ratsikas, P Tang, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 42 | 2018 |
| Two-stage constrained actor-critic for short video recommendation Q Cai, Z Xue, C Zhang, W Xue, S Liu, R Zhan, X Wang, T Zuo, W Xie, ... Proceedings of the ACM Web Conference 2023, 865-875, 2023 | 40* | 2023 |
| Reinforcement Learning Driven Heuristic Optimization Q Cai, W Hang, A Mirhoseini, G Tucker, J Wang, W Wei DRL4KDD-2019, 2019 | 36 | 2019 |
| Reinforcing user retention in a billion scale short video recommender system Q Cai, S Liu, X Wang, T Zuo, W Xie, B Yang, D Zheng, P Jiang, K Gai Companion Proceedings of the ACM Web Conference 2023, 421-426, 2023 | 34 | 2023 |
| Multi-task recommendations with reinforcement learning Z Liu, J Tian, Q Cai, X Zhao, J Gao, S Liu, D Chen, T He, D Zheng, P Jiang, ... Proceedings of the ACM Web Conference 2023, 1273-1282, 2023 | 33 | 2023 |
| A large language model enhanced conversational recommender system Y Feng, S Liu, Z Xue, Q Cai, L Hu, P Jiang, K Gai, F Sun arXiv preprint arXiv:2308.06212, 2023 | 29 | 2023 |
| ResAct: Reinforcing long-term engagement in sequential recommendation with residual actor W Xue, Q Cai, R Zhan, D Zheng, P Jiang, K Gai, B An ICLR-2023, 2022 | 25 | 2022 |
| PrefRec: recommender systems with human preferences for reinforcing long-term user engagement W Xue, Q Cai, Z Xue, S Sun, S Liu, D Zheng, P Jiang, K Gai, B An Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 22* | 2023 |
| Exploration and regularization of the latent action space in recommendation S Liu, Q Cai, B Sun, Y Wang, J Jiang, D Zheng, P Jiang, K Gai, X Zhao, ... Proceedings of the ACM Web Conference 2023, 833-844, 2023 | 21 | 2023 |
| KuaiSim: A comprehensive simulator for recommender systems K Zhao, S Liu, Q Cai, X Zhao, Z Liu, D Zheng, P Jiang, K Gai Advances in Neural Information Processing Systems 36, 44880-44897, 2023 | 18 | 2023 |
| Policy optimization with model-based explorations F Pan, Q Cai, AX Zeng, CX Pan, Q Da, H He, Q He, P Tang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4675-4682, 2019 | 16 | 2019 |
| Mechanism design for personalized recommender systems Q Cai, A Filos-Ratsikas, C Liu, P Tang Proceedings of the 10th ACM Conference on Recommender Systems, 159-166, 2016 | 15 | 2016 |
| Generative flow network for listwise recommendation S Liu, Q Cai, Z He, B Sun, J McAuley, D Zheng, P Jiang, K Gai Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
| State regularized policy optimization on data with dynamics shift Z Xue, Q Cai, S Liu, D Zheng, P Jiang, K Gai, B An Advances in neural information processing systems 36, 2024 | 10 | 2024 |
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