Xiaocheng Tang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Alternating Direction

Benchmark Suite

Fleet Management

Reinforcement Learning

Top Venues

Publications

Honghao Wei, Zixian Yang, Xin Liu, Zhiwei (Tony) Qin, Xiaocheng Tang, Lei Ying
A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Yongxin Tong, Dingyuan Shi, Yi Xu, Weifeng Lv, Zhiwei Qin, Xiaocheng Tang
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. KDD (2022)
Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. CoRR (2022)
Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. CoRR (2022)
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. ICCV (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD (2021)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR (2021)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. CoRR (2021)
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR (2021)
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
Rethinking Architecture Selection in Differentiable NAS. CoRR (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. CoRR (2021)
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
Rethinking Architecture Selection in Differentiable NAS. ICLR (2021)
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. CoRR (2021)
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
DrNAS: Dirichlet Neural Architecture Search. ICLR (2021)
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Jieping Ye, Hongtu Zhu
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. ICDM (2021)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) (2020)
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
DrNAS: Dirichlet Neural Architecture Search. CoRR (2020)
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. INFORMS J. Appl. Anal. 50 (5) (2020)
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR (2019)
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM (2019)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. CoRR (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. ICDM (2019)
Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM (2019)
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. IJCAI (2019)
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. ICDM (2018)
Katya Scheinberg, Xiaocheng Tang
Practical inexact proximal quasi-Newton method with global complexity analysis. Math. Program. 160 (1-2) (2016)
Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection. LION (2014)
Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection. CoRR (2014)
Bin He, Zhipeng Wang, Xiaocheng Tang, Qiang Lu
Walking balance control for biped robot based on multi-sensor integration. ROBIO (2013)
Katya Scheinberg, Xiaocheng Tang
Complexity of Inexact Proximal Newton methods. CoRR (2013)
Xiaocheng Tang, Katya Scheinberg
Efficiently Using Second Order Information in Large l1 Regularization Problems CoRR (2013)
Hong Su, Bo Kang, Xiaocheng Tang
Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System. Edutainment (2008)