Xiaocheng Li

According to our database, Xiaocheng Li authored at least 44 papers between 2015 and 2024.

Collaborative distances:

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

2024

Technical Note - An Improved Analysis of LP-Based Control for Revenue Management.

Guanting Chen, Xiaocheng Li, Yinyu Ye

Oper. Res., 2024

Personalized Playback Technology: How Short Video Services Create Excellent User Experience.

Weihui Deng, Zhiwei Fan, Deliang Fu, Yun Gong, Shenglan Huang, Xiaocheng Li, Zheng Li, Yiting Liao, He Liu, Chunyu Qiao, Bin Wang, Zhen Wang, Zhengyu Xiong

CoRR, 2024

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification.

Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li

CoRR, 2024

Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making.

Hanzhao Wang, Yu Pan, Fupeng Sun, Shang Liu, Kalyan T. Talluri, Guanting Chen, Xiaocheng Li

CoRR, 2024

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach.

Linyu Liu, Yu Pan, Xiaocheng Li, Guanting Chen

CoRR, 2024

Towards Better Statistical Understanding of Watermarking LLMs.

Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li

CoRR, 2024

Learning to Make Adherence-aware Advice.

Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

When No-Rejection Learning is Consistent for Regression with Rejection.

Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Simple and fast algorithm for binary integer and online linear programming.

Xiaocheng Li, Chunlin Sun, Yinyu Ye

Math. Program., July, 2023

Transformer Choice Net: A Transformer Neural Network for Choice Prediction.

Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri

CoRR, 2023

Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction.

Linyu Liu, Zhen Dai, Shiji Song, Xiaocheng Li, Guanting Chen

CoRR, 2023

A Neural Network Based Choice Model for Assortment Optimization.

Hanzhao Wang, Zhongze Cai, Xiaocheng Li, Kalyan T. Talluri

CoRR, 2023

When No-Rejection Learning is Optimal for Regression with Rejection.

Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang

CoRR, 2023

Understanding Uncertainty Sampling.

Shang Liu, Xiaocheng Li

CoRR, 2023

Predict-then-Calibrate: A New Perspective of Robust Contextual LP.

Chunlin Sun, Linyu Liu, Xiaocheng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods.

Shang Liu, Zhongze Cai, Xiaocheng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming.

Chunlin Sun, Shang Liu, Xiaocheng Li

Proceedings of the International Conference on Machine Learning, 2023

2022

Quantile Markov Decision Processes.

Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau

Oper. Res., 2022

Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds.

Xiaocheng Li, Yinyu Ye

Oper. Res., 2022

Deep Learning for Choice Modeling.

Zhongze Cai, Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li

CoRR, 2022

A Unified Image Preprocessing Framework For Image Compression.

Moqi Zhang, Weihui Deng, Xiaocheng Li

CoRR, 2022

Learning to Sell a Focal-ancillary Combination.

Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri

CoRR, 2022

Non-stationary Bandits with Knapsacks.

Shang Liu, Jiashuo Jiang, Xiaocheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning from Stochastically Revealed Preference.

John R. Birge, Xiaocheng Li, Chunlin Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

On Dynamic Pricing with Covariates.

Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li

CoRR, 2021

Online Bin Packing with Known T.

Shang Liu, Xiaocheng Li

CoRR, 2021

Fairer LP-based Online Allocation.

Guanting Chen, Xiaocheng Li, Yinyu Ye

CoRR, 2021

The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks.

Xiaocheng Li, Chunlin Sun, Yinyu Ye

Proceedings of the 38th International Conference on Machine Learning, 2021

Double Auction-Based Dynamic Role Assignment Algorithm.

Fan Liu, Fangzhen Ge, Xiang Li, Longfeng Shen, Xiaocheng Li

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

When Do You Need Billions of Words of Pretraining Data?

Yian Zhang, Alex Warstadt, Xiaocheng Li, Samuel R. Bowman

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Fault diagnosis of rolling element bearing weak fault based on sparse decomposition and broad learning network.

Xiaocheng Li, Jingcheng Wang, Bin Zhang

Trans. Inst. Meas. Control, 2020

Online Stochastic Optimization with Wasserstein Based Non-stationarity.

Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang

CoRR, 2020

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).

Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018

Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence.

Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng

Proceedings of the 2018 Winter Simulation Conference, 2018

Recurrent Autoregressive Networks for Online Multi-object Tracking.

Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Global Cooperative Control Framework for Multiagent Systems Subject to Actuator Saturation With Industrial Applications.

Bohui Wang, Jingcheng Wang, Bin Zhang, Xiaocheng Li

IEEE Trans. Syst. Man Cybern. Syst., 2017

Cooperative Control of Heterogeneous Uncertain Dynamical Networks: An Adaptive Explicit Synchronization Framework.

Bohui Wang, Jingcheng Wang, Langwen Zhang, Bin Zhang, Xiaocheng Li

IEEE Trans. Cybern., 2017

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans.

Huaiyang Zhong, Xiaocheng Li, David B. Lobell, Stefano Ermon, Margaret L. Brandeau

CoRR, 2017

Quantile Markov Decision Process.

Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau

CoRR, 2017

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.

Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Leader-follower consensus for multi-agent systems with three-layer network framework and dynamic interaction jointly connected topology.

Bohui Wang, Jingcheng Wang, Bin Zhang, Hai Lin, Xiaocheng Li, Hongyuan Wang

Neurocomputing, 2016

Dynamic fault tolerant control for multi-agent uncertain system with intermittent sampling.

Bohui Wang, Jingcheng Wang, Huifeng Zhu, Bin Zhang, Xiaocheng Li, Xiaofeng Wang, Leijie Dai, Ruiqing Wang

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks.

Bohui Wang, Yingguan Wang, Bin Zhang, Fengrong Li, Jingcheng Wang, Hai Lin, Xiaocheng Li

Proceedings of the 2016 American Control Conference, 2016

2015

A closed-form expansion approach for pricing discretely monitored variance swaps.

Chenxu Li, Xiaocheng Li

Oper. Res. Lett., 2015