Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System. - Hong Su; Bo Kang; Xiaocheng Tang (Edutainment, 2008)

Walking balance control for biped robot based on multi-sensor integration. - Bin He 003; Zhipeng Wang 006; Xiaocheng Tang; Qiang Lu (ROBIO, 2013)

Complexity of Inexact Proximal Newton methods. - Katya Scheinberg; Xiaocheng Tang (CoRR, 2013)

Efficiently Using Second Order Information in Large l1 Regularization Problems - Xiaocheng Tang; Katya Scheinberg (CoRR, 2013)

HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection. - Zhiwei (Tony) Qin; Xiaocheng Tang; Ioannis Akrotirianakis; Amit Chakraborty (LION, 2014)

Practical inexact proximal quasi-Newton method with global complexity analysis. - Katya Scheinberg; Xiaocheng Tang (Math. Program., 2016)

Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. - Zhaodong Wang; Zhiwei (Tony) Qin; Xiaocheng Tang; Jieping Ye; Hongtu Zhu (ICDM, 2018)

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. - Jiarui Jin; Ming Zhou 006; Weinan Zhang 001; Minne Li; Zilong Guo; Zhiwei (Tony) Qin; Yan Jiao; Xiaocheng Tang; Chenxi Wang; Jun Wang 012; Guobin Wu 001; Jieping Ye (CIKM, 2019)

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. - Haipeng Chen 001; Yan Jiao; Zhiwei (Tony) Qin; Xiaocheng Tang; Hao Li; Bo An 001; Hongtu Zhu; Jieping Ye (ICDM, 2019)

Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. - John Holler; Risto Vuorio; Zhiwei (Tony) Qin; Xiaocheng Tang; Yan Jiao; Tiancheng Jin; Satinder Singh 001; Chenxi Wang; Jieping Ye (ICDM, 2019)

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. - Zhiwei (Tony) Qin; Xiaocheng Tang; Yan Jiao; Fan Zhang 098; Chenxi Wang; Qun (Tracy) Li (IJCAI, 2019)

A Deep Value-network Based Approach for Multi-Driver Order Dispatching. - Xiaocheng Tang; Zhiwei (Tony) Qin; Fan Zhang 098; Zhaodong Wang; Zhe Xu; Yintai Ma; Hongtu Zhu; Jieping Ye (KDD, 2019)

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. - 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; et al. (NeurIPS (Competition and Demos), 2020)

Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. - Zhiwei (Tony) Qin; Xiaocheng Tang; Yan Jiao; Fan Zhang 098; Zhe Xu; Hongtu Zhu; Jieping Ye (INFORMS J. Appl. Anal., 2020)

RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. - Ruochen Wang; Xiangning Chen; Minhao Cheng; Xiaocheng Tang; Cho-Jui Hsieh (ICCV, 2021)

Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. - Fan Zhou 003; Chenfan Lu; Xiaocheng Tang; Fan Zhang 098; Zhiwei (Tony) Qin; Jieping Ye; Hongtu Zhu (ICDM, 2021)

DrNAS: Dirichlet Neural Architecture Search. - Xiangning Chen; Ruochen Wang; Minhao Cheng; Xiaocheng Tang; Cho-Jui Hsieh (ICLR, 2021)

Rethinking Architecture Selection in Differentiable NAS. - Ruochen Wang; Minhao Cheng; Xiangning Chen; Xiaocheng Tang; Cho-Jui Hsieh (ICLR, 2021)

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. - Xiaocheng Tang; Fan Zhang 098; Zhiwei (Tony) Qin; Yansheng Wang; Dingyuan Shi; Bingchen Song; Yongxin Tong; Hongtu Zhu; Jieping Ye (KDD, 2021)

Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. - Yan Jiao; Xiaocheng Tang; Zhiwei (Tony) Qin; Shuaiji Li; Fan Zhang 098; Hongtu Zhu; Jieping Ye (CoRR, 2021)

Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. - Soheil Sadeghi Eshkevari; Xiaocheng Tang; Zhiwei Qin 001; Jinhan Mei; Cheng Zhang; Qianying Meng; Jia Xu (KDD, 2022)

Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. - Xiaocheng Tang; Soheil Sadeghi Eshkevari; Haoyu Chen; Weidan Wu; Wei Qian; Xiaoming Wang (CoRR, 2022)

Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale. - Yongxin Tong; Dingyuan Shi; Yi Xu 013; Weifeng Lv; Zhiwei Qin 001; Xiaocheng Tang (IEEE Trans. Knowl. Data Eng., 2023)

A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems. - Honghao Wei; Zixian Yang; Xin Liu 049; Zhiwei (Tony) Qin; Xiaocheng Tang; Lei Ying 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing. - Run Yang; Runpeng Dai; Siran Gao; Xiaocheng Tang; Fan Zhou; Hongtu Zhu (CoRR, 2025)

LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training. - Bo Wu; Sid Wang; Yunhao Tang; Jia Ding; Eryk Helenowski; Liang Tan; Tengyu Xu; Tushar Gowda; Zhengxing Chen; Chen Zhu; Xiaocheng Tang; Yundi Qian; et al. (CoRR, 2025)