Xiaocheng Tang

38 papers A* 11A 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Algorithm Aversion: Evidence from Ridesharing Drivers. Manag. Sci. Meng Liu, Xiaocheng Tang, Siyuan Xia, Shuo Zhang, Yuting Zhu, Qianying Meng
2025	J	`jnl`	Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models. CoRR Hoang Phan, Xianjun Yang, Kevin Yao, Jingyu Zhang, Shengjie Bi, Xiaocheng Tang, Madian Khabsa, Lijuan Liu, Deren Lei
2025	J	`jnl`	LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training. CoRR Bo Wu, Sid Wang, Yunhao Tang, Jia Ding, Eryk Helenowski, Liang Tan, Tengyu Xu, Tushar Gowda, Zhengxing Chen, Chen Zhu, Xiaocheng Tang, Yundi Qian, Beibei Zhu, Rui Hou
2025	J	`jnl`	Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing. CoRR Run Yang, Runpeng Dai, Siran Gao, Xiaocheng Tang, Fan Zhou, Hongtu Zhu
2024	J	`jnl`	A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems. IEEE Trans. Intell. Transp. Syst. Honghao Wei, Zixian Yang, Xin Liu, Zhiwei (Tony) Qin, Xiaocheng Tang, Lei Ying
2023	J	`jnl`	Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale. IEEE Trans. Knowl. Data Eng. Yongxin Tong, Dingyuan Shi, Yi Xu, Weifeng Lv, Zhiwei Qin, Xiaocheng Tang
2022	J	`jnl`	Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. CoRR Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang
2022	A*	`conf`	Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. KDD Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu
2022	J	`jnl`	Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. CoRR Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu
2021	J	`jnl`	A Deep Value-network Based Approach for Multi-Driver Order Dispatching. CoRR Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2021	A*	`conf`	DrNAS: Dirichlet Neural Architecture Search. ICLR Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2021	J	`jnl`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR 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
2021	A*	`conf`	Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. ICDM Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu
2021	A*	`conf`	RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. ICCV Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2021	J	`jnl`	RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. CoRR Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2021	J	`jnl`	Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
2021	A*	`conf`	Rethinking Architecture Selection in Differentiable NAS. ICLR Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
2021	J	`jnl`	Rethinking Architecture Selection in Differentiable NAS. CoRR Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
2021	A*	`conf`	Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2021	J	`jnl`	Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. CoRR Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2020	J	`jnl`	DrNAS: Dirichlet Neural Architecture Search. CoRR Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2020	—	`conf`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. INFORMS J. Appl. Anal. Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
2019	A*	`conf`	A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2019	A	`conf`	CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM 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
2019	J	`jnl`	CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR 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
2019	J	`jnl`	Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. CoRR John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019	A*	`conf`	Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. ICDM John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019	A*	`conf`	Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. IJCAI Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li
2019	A*	`conf`	InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
2018	A*	`conf`	Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. ICDM Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
2016	J	`jnl`	Practical inexact proximal quasi-Newton method with global complexity analysis. Math. Program. Katya Scheinberg, Xiaocheng Tang
2014	—	`conf`	HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection. LION Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
2014	J	`jnl`	HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection. CoRR Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
2013	J	`jnl`	Complexity of Inexact Proximal Newton methods. CoRR Katya Scheinberg, Xiaocheng Tang
2013	J	`jnl`	Efficiently Using Second Order Information in Large l1 Regularization Problems CoRR Xiaocheng Tang, Katya Scheinberg
2013	—	`conf`	Walking balance control for biped robot based on multi-sensor integration. ROBIO Bin He, Zhipeng Wang, Xiaocheng Tang, Qiang Lu
2008	—	`conf`	Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System. Edutainment Hong Su, Bo Kang, Xiaocheng Tang