Structured Sparsity via Alternating Directions Methods - Zhiwei (Tony) Qin; Donald Goldfarb (CoRR, 2011)

Structured Sparsity via Alternating Direction Methods. - Zhiwei (Tony) Qin; Donald Goldfarb (J. Mach. Learn. Res., 2012)

Efficient block-coordinate descent algorithms for the Group Lasso. - Zhiwei (Tony) Qin; Katya Scheinberg; Donald Goldfarb (Math. Program. Comput., 2013)

Optimization Algorithms for Structured Machine Learning and Image Processing Problems. - Zhiwei (Tony) Qin (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)

Robust Low-Rank Tensor Recovery: Models and Algorithms. - Donald Goldfarb; Zhiwei (Tony) Qin (SIAM J. Matrix Anal. Appl., 2014)

Low-Rank Tensor Recovery for Geo-Demand Estimation in Online Retailing. - Long He; Zhiwei (Tony) Qin; Jagtej Bewli (INNS Conference on Big Data, 2015)

An alternating direction method for total variation denoising. - Zhiwei (Tony) Qin; Donald Goldfarb; Shiqian Ma (Optim. Methods Softw., 2015)

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (CoRR, 2017)

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (IEEE BigData, 2018)

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

Large-Scale Targeted Marketing by Supervised PageRank with Seeds. - Zhiwei (Tony) Qin; Chengxiang Zhuo; Wei Tan; Jun Xie; Jieping Ye (MLDM (2), 2018)

A Bayesian framework for large-scale geo-demand estimation in on-line retailing. - Zhiwei (Tony) Qin; John Bowman; Jagtej Bewli (Ann. Oper. Res., 2018)

Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. - Tao Huang; Yintai Ma; Zhiwei (Tony) Qin; Jianfeng Zheng; Henry X. Liu; Hongtu Zhu; Jieping Ye (IEEE BigData, 2019)

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)

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. - Ming Zhou 006; Jiarui Jin; Weinan Zhang 001; Zhiwei (Tony) Qin; Yan Jiao; Chenxi Wang; Guobin Wu 001; Yong Yu 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)

Deep Reinforcement Learning with Applications in Transportation. - Zhiwei (Tony) Qin; Jian Tang 008; Jieping Ye (KDD, 2019)

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. - Wenjie Shang; Yang Yu 001; Qingyang Li 001; Zhiwei (Tony) Qin; Yiping Meng; Jieping Ye (KDD, 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)

Domain Generation Algorithms detection through deep neural network and ensemble. - Shuaiji Li; Tao Huang; Zhiwei Qin 001; Fanfang Zhang; Yinhong Chang (WWW (Companion Volume), 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (WWW, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Zhichen Gong; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (CoRR, 2019)

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. - Mengyue Yang; Qingyang Li 001; Zhiwei (Tony) Qin; Jieping Ye (WWW, 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)

Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling. - Chunyi Liu; Hao Feng; Jiang Xu; Zhiwei Tony Qin; Hongtu Zhu (IEEE BigData, 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)

Reinforcement Learning for Ridesharing: A Survey. - Zhiwei (Tony) Qin; Hongtu Zhu; Jieping Ye (ITSC, 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)

Offline Model-based Adaptable Policy Learning. - Xiong-Hui Chen; Yang Yu 001; Qingyang Li 001; Fan-Ming Luo; Zhiwei (Tony) Qin; Wenjie Shang; Jieping Ye (NeurIPS, 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)

Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. - Wenjie Shang; Qingyang Li 001; Zhiwei (Tony) Qin; Yang Yu 001; Yiping Meng; Jieping Ye (Mach. Learn., 2021)

Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution. - Tao Huang; Qingyang Li 001; Zhiwei Qin 001 (IEEE Big Data, 2022)

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)

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song 006; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (KDD, 2022)

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning. - Yanqiu Wu 002; Qingyang Li 001; Zhiwei Tony Qin (CoRR, 2022)

KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song 006; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (SIGKDD Explor., 2022)

A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency. - Alex Chin; Zhiwei (Tony) Qin (SIGSPATIAL/GIS, 2023)

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. - Xiong-Hui Chen; Bowei He; Yang Yu 001; Qingyang Li 001; Zhiwei Tony Qin; Wenjie Shang; Jieping Ye; Chen Ma 001 (ICDE, 2023)

KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. - Zhiwei (Tony) Qin; Rui Song 006; Jieping Ye; Hongtu Zhu; Michael I. Jordan (KDD, 2023)

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)

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. - Xiong-Hui Chen; Fan-Ming Luo; Yang Yu 001; Qingyang Li 001; Zhiwei Qin 001; Wenjie Shang; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. - Xabi Azagirre; Akshay Balwally; Guillaume Candeli; Nicholas Chamandy; Benjamin Han; Alona King; Hyungjun Lee; Martin Loncaric; Sébastien Martin; Vijay Narasiman; Zhiwei (Tony) Qin; Baptiste Richard; et al. (INFORMS J. Appl. Anal., 2024)

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)

Eva: An LLM-based Multilingual Voice-agent Network for Restaurant Operations. - Zhiwei (Tony) Qin; Jianming Zhou (AAMAS, 2025)