Xiaocheng Li

Orcid: 0000-0003-4322-9801

According to our database1, Xiaocheng Li authored at least 38 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Towards Better Statistical Understanding of Watermarking LLMs.
CoRR, 2024

2023
Simple and fast algorithm for binary integer and online linear programming.
Math. Program., July, 2023

Transformer Choice Net: A Transformer Neural Network for Choice Prediction.
CoRR, 2023

Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction.
CoRR, 2023

Learning to Make Adherence-Aware Advice.
CoRR, 2023

A Neural Network Based Choice Model for Assortment Optimization.
CoRR, 2023

When No-Rejection Learning is Optimal for Regression with Rejection.
CoRR, 2023

Understanding Uncertainty Sampling.
CoRR, 2023

Predict-then-Calibrate: A New Perspective of Robust Contextual LP.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Quantile Markov Decision Processes.
Oper. Res., 2022

Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds.
Oper. Res., 2022

Deep Learning for Choice Modeling.
CoRR, 2022

A Unified Image Preprocessing Framework For Image Compression.
CoRR, 2022

Learning to Sell a Focal-ancillary Combination.
CoRR, 2022

Non-stationary Bandits with Knapsacks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning from Stochastically Revealed Preference.
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.
CoRR, 2021

Online Bin Packing with Known T.
CoRR, 2021

Fairer LP-based Online Allocation.
CoRR, 2021

The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Double Auction-Based Dynamic Role Assignment Algorithm.
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

When Do You Need Billions of Words of Pretraining Data?
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.
Trans. Inst. Meas. Control, 2020

Online Stochastic Optimization with Wasserstein Based Non-stationarity.
CoRR, 2020

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).
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.
Proceedings of the 2018 Winter Simulation Conference, 2018

Recurrent Autoregressive Networks for Online Multi-object Tracking.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Cooperative Control of Heterogeneous Uncertain Dynamical Networks: An Adaptive Explicit Synchronization Framework.
IEEE Trans. Cybern., 2017

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans.
CoRR, 2017

Quantile Markov Decision Process.
CoRR, 2017

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.
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.
Neurocomputing, 2016

Dynamic fault tolerant control for multi-agent uncertain system with intermittent sampling.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks.
Proceedings of the 2016 American Control Conference, 2016

2015
A closed-form expansion approach for pricing discretely monitored variance swaps.
Oper. Res. Lett., 2015


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