Xinshang Wang

According to our database, Xinshang Wang authored at least 22 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints.

Ruicheng Ao, Gan Luo, David Simchi-Levi, Xinshang Wang

CoRR, April, 2025

Technical Note - Online Matching with Bayesian Rewards.

David Simchi-Levi, Rui Sun, Xinshang Wang

Oper. Res., 2025

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models.

Zeping Min, Xinshang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

Haoyu Peter Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

Trans. Mach. Learn. Res., 2024

Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs.

Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin

CoRR, 2024

Rethinking the Capacity of Graph Neural Networks for Branching Strategy.

Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Algorithms for Sum-Of-Minimum Optimization.

Lisang Ding, Ziang Chen, Xinshang Wang, Wotao Yin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

CoRR, 2023

On Representing Mixed-Integer Linear Programs by Graph Neural Networks.

Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Representing Linear Programs by Graph Neural Networks.

Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent.

Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Inventory Balancing with Online Learning.

Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang

Manag. Sci., 2022

On Representing Mixed-Integer Linear Programs by Graph Neural Networks.

Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin

CoRR, 2022

On Representing Linear Programs by Graph Neural Networks.

Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin

CoRR, 2022

2021

Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses.

Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang

Manag. Sci., 2021

A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments.

Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Advance Service Reservations with Heterogeneous Customers.

Clifford Stein, Van-Anh Truong, Xinshang Wang

Manag. Sci., 2020

Approximation Algorithms for Product Framing and Pricing.

Guillermo Gallego, Anran Li, Van-Anh Truong, Xinshang Wang

Oper. Res., 2020

2019

Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses.

Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang

CoRR, 2019

2018

Multi-Priority Online Scheduling with Cancellations.

Xinshang Wang, Van-Anh Truong

Oper. Res., 2018

The Lingering of Gradients: How to Reuse Gradients Over Time.

Zeyuan Allen-Zhu, David Simchi-Levi, Xinshang Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Provably Near-Optimal Balancing Policies for Multi-Echelon Stochastic Inventory Control Models.

Retsef Levi, Robin Roundy, Van-Anh Truong, Xinshang Wang

Math. Oper. Res., 2017