| Rethinking architecture selection in differentiable NAS R Wang, M Cheng, X Chen, X Tang, CJ Hsieh arXiv preprint arXiv:2108.04392, 2021 | 184 | 2021 |
| A deep value-network based approach for multi-driver order dispatching X Tang, Z Qin, F Zhang, Z Wang, Z Xu, Y Ma, H Zhu, J Ye Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 177 | 2019 |
| Deep reinforcement learning with knowledge transfer for online rides order dispatching Z Wang, Z Qin, X Tang, J Ye, H Zhu 2018 IEEE International Conference on Data Mining (ICDM), 617-626, 2018 | 144 | 2018 |
| Drnas: Dirichlet neural architecture search X Chen, R Wang, M Cheng, X Tang, CJ Hsieh International Conference on Learning Representations, 2021 | 132 | 2021 |
| Ride-hailing order dispatching at didi via reinforcement learning Z Qin, X Tang, Y Jiao, F Zhang, Z Xu, H Zhu, J Ye INFORMS Journal on Applied Analytics 50 (5), 272-286, 2020 | 119 | 2020 |
| Deep reinforcement learning for multi-driver vehicle dispatching and repositioning problem J Holler, R Vuorio, Z Qin, X Tang, Y Jiao, T Jin, S Singh, C Wang, J Ye 2019 IEEE International Conference on Data Mining (ICDM), 1090-1095, 2019 | 119 | 2019 |
| Coride: joint order dispatching and fleet management for multi-scale ride-hailing platforms J Jin, M Zhou, W Zhang, M Li, Z Guo, Z Qin, Y Jiao, X Tang, C Wang, ... Proceedings of the 28th ACM international conference on information and …, 2019 | 109 | 2019 |
| Practical inexact proximal quasi-Newton method with global complexity analysis K Scheinberg, X Tang Mathematical Programming 160, 495-529, 2016 | 89 | 2016 |
| Real-world ride-hailing vehicle repositioning using deep reinforcement learning Y Jiao, X Tang, ZT Qin, S Li, F Zhang, H Zhu, J Ye Transportation Research Part C: Emerging Technologies 130, 103289, 2021 | 54 | 2021 |
| Value function is all you need: A unified learning framework for ride hailing platforms X Tang, F Zhang, Z Qin, Y Wang, D Shi, B Song, Y Tong, H Zhu, J Ye Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 39 | 2021 |
| InBEDE: Integrating contextual bandit with TD learning for joint pricing and dispatch of ride-hailing platforms H Chen, Y Jiao, Z Qin, X Tang, H Li, B An, H Zhu, J Ye 2019 IEEE International Conference on Data Mining (ICDM), 61-70, 2019 | 32 | 2019 |
| Combinatorial optimization meets reinforcement learning: Effective taxi order dispatching at large-scale Y Tong, D Shi, Y Xu, W Lv, Z Qin, X Tang IEEE Transactions on Knowledge and Data Engineering 35 (10), 9812-9823, 2021 | 22 | 2021 |
| Measuring sample efficiency and generalization in reinforcement learning benchmarks: Neurips 2020 procgen benchmark S Mohanty, J Poonganam, A Gaidon, A Kolobov, B Wulfe, D Chakraborty, ... arXiv preprint arXiv:2103.15332, 2021 | 22 | 2021 |
| Reinforcement learning in the wild: Scalable RL dispatching algorithm deployed in ridehailing marketplace S Sadeghi Eshkevari, X Tang, Z Qin, J Mei, C Zhang, Q Meng, J Xu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 17 | 2022 |
| Rank-nosh: Efficient predictor-based architecture search via non-uniform successive halving R Wang, X Chen, M Cheng, X Tang, CJ Hsieh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| Algorithm aversion: Evidence from ridesharing drivers M Liu, X Tang, S Xia, S Zhang, Y Zhu, Q Meng Management Science, 2023 | 16 | 2023 |
| Golfer: Trajectory prediction with masked goal conditioning mnm network X Tang, SS Eshkevari, H Chen, W Wu, W Qian, X Wang arXiv preprint arXiv:2207.00738, 2022 | 10 | 2022 |
| Deep reinforcement learning for ride-sharing dispatching and repositioning ZT Qin, X Tang, Y Jiao, F Zhang, C Wang, QT Li Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 10 | 2019 |
| Complexity of inexact proximal Newton methods K Scheinberg, X Tang arXiv preprint arxiv:1311.6547, 75, 2013 | 10 | 2013 |
| Multi-objective distributional reinforcement learning for large-scale order dispatching F Zhou, C Lu, X Tang, F Zhang, Z Qin, J Ye, H Zhu 2021 IEEE International Conference on Data Mining (ICDM), 1541-1546, 2021 | 9 | 2021 |
Zhiwei (Tony) QinCo-founder / Chief Scientist, Eva AI (foreva.ai)在 caa.columbia.edu 的电子邮件经过验证
