Xiaocheng Tang

Orcid: 0000-0003-1009-9879

According to our database1, Xiaocheng Tang authored at least 24 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

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
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale.
IEEE Trans. Knowl. Data Eng., October, 2023

2022
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network.
CoRR, 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

2021
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning.
CoRR, 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

Rethinking Architecture Selection in Differentiable NAS.
Proceedings of the 9th International Conference on Learning Representations, 2021

DrNAS: Dirichlet Neural Architecture Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2021

RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning.
INFORMS J. Appl. Anal., 2020

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning.
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

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

2018
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2018

2016
Practical inexact proximal quasi-Newton method with global complexity analysis.
Math. Program., 2016

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
Efficiently Using Second Order Information in Large l1 Regularization Problems
CoRR, 2013

Complexity of Inexact Proximal Newton methods.
CoRR, 2013

Walking balance control for biped robot based on multi-sensor integration.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

2008
Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2008


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