Zhiwei (Tony) Qin
Orcid: 0000-0001-5383-4816Affiliations:
- DiDi Research America, Mountain View, Lyft Rideshare Labs, CA, USA
- Walmart Labs, San Bruno, CA, USA
- Columbia University, New York, USA (PhD 2013)
According to our database1,
Zhiwei (Tony) Qin
authored at least 45 papers
between 2011 and 2024.
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Bibliography
2024
A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems.
IEEE Trans. Intell. Transp. Syst., February, 2024
2023
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale.
IEEE Trans. Knowl. Data Eng., October, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
2022
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
SIGKDD Explor., 2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning.
CoRR, 2022
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn., 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2021
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
INFORMS J. Appl. Anal., 2020
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
CoRR, 2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Ann. Oper. Res., 2018
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2018
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR, 2017
2015
Optim. Methods Softw., 2015
Proceedings of the INNS Conference on Big Data 2015, 2015
2014
SIAM J. Matrix Anal. Appl., 2014
HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection.
Proceedings of the Learning and Intelligent Optimization, 2014
2013
Optimization Algorithms for Structured Machine Learning and Image Processing Problems.
PhD thesis, 2013
Math. Program. Comput., 2013
2012
2011