A closed-form expansion approach for pricing discretely monitored variance swaps. - Chenxu Li; Xiaocheng Li (Oper. Res. Lett., 2015)

Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks. - Bohui Wang; Yingguan Wang; Bin Zhang 008; Fengrong Li; Jingcheng Wang; Hai Lin; Xiaocheng Li (ACC, 2016)

Dynamic fault tolerant control for multi-agent uncertain system with intermittent sampling. - Bohui Wang; Jingcheng Wang; Huifeng Zhu; Bin Zhang 008; Xiaocheng Li; Xiaofeng Wang 007; Leijie Dai; Ruiqing Wang (CDC, 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 008; Hai Lin; Xiaocheng Li; Hongyuan Wang (Neurocomputing, 2016)

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. - Jiaxuan You; Xiaocheng Li; Melvin Low; David B. Lobell; Stefano Ermon (AAAI, 2017)

Quantile Markov Decision Process. - Xiaocheng Li; Huaiyang Zhong; Margaret L. Brandeau (CoRR, 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)

Cooperative Control of Heterogeneous Uncertain Dynamical Networks: An Adaptive Explicit Synchronization Framework. - Bohui Wang; Jingcheng Wang; Langwen Zhang; Bin Zhang 008; Xiaocheng Li (IEEE Trans. Cybern., 2017)

Global Cooperative Control Framework for Multiagent Systems Subject to Actuator Saturation With Industrial Applications. - Bohui Wang; Jingcheng Wang; Bin Zhang 008; Xiaocheng Li (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Recurrent Autoregressive Networks for Online Multi-object Tracking. - Kuan Fang; Yu Xiang; Xiaocheng Li; Silvio Savarese (WACV, 2018)

Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. - Xiaocheng Li; Xiaowei Zhang 004; Zeyu Zheng (WSC, 2018)

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). - Alex Warstadt; Yian Zhang; Xiaocheng Li; Haokun Liu; Samuel R. Bowman (EMNLP (1), 2020)

Online Stochastic Optimization with Wasserstein Based Non-stationarity. - Jiashuo Jiang; Xiaocheng Li; Jiawei Zhang 006 (CoRR, 2020)

Fault diagnosis of rolling element bearing weak fault based on sparse decomposition and broad learning network. - Xiaocheng Li; Jingcheng Wang; Bin Zhang 008 (Trans. Inst. Meas. Control, 2020)

When Do You Need Billions of Words of Pretraining Data? - Yian Zhang; Alex Warstadt; Xiaocheng Li; Samuel R. Bowman (ACL/IJCNLP (1), 2021)

Double Auction-Based Dynamic Role Assignment Algorithm. - Fan Liu; Fangzhen Ge; Xiang Li; Longfeng Shen; Xiaocheng Li (CIS, 2021)

The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. - Xiaocheng Li; Chunlin Sun; Yinyu Ye 001 (ICML, 2021)

Fairer LP-based Online Allocation. - Guanting Chen 001; Xiaocheng Li; Yinyu Ye 001 (CoRR, 2021)

Online Bin Packing with Known T. - Shang Liu; Xiaocheng Li (CoRR, 2021)

On Dynamic Pricing with Covariates. - Hanzhao Wang; Kalyan T. Talluri; Xiaocheng Li (CoRR, 2021)

Learning from Stochastically Revealed Preference. - John R. Birge; Xiaocheng Li; Chunlin Sun (NeurIPS, 2022)

Non-stationary Bandits with Knapsacks. - Shang Liu; Jiashuo Jiang; Xiaocheng Li (NeurIPS, 2022)

Learning to Sell a Focal-ancillary Combination. - Hanzhao Wang; Xiaocheng Li; Kalyan T. Talluri (CoRR, 2022)

A Unified Image Preprocessing Framework For Image Compression. - Moqi Zhang; Weihui Deng; Xiaocheng Li (CoRR, 2022)

Deep Learning for Choice Modeling. - Zhongze Cai; Hanzhao Wang; Kalyan T. Talluri; Xiaocheng Li (CoRR, 2022)

Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. - Xiaocheng Li; Yinyu Ye 001 (Oper. Res., 2022)

Quantile Markov Decision Processes. - Xiaocheng Li; Huaiyang Zhong; Margaret L. Brandeau (Oper. Res., 2022)

Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. - Chunlin Sun; Shang Liu; Xiaocheng Li (ICML, 2023)

Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. - Shang Liu; Zhongze Cai; Xiaocheng Li (NeurIPS, 2023)

Predict-then-Calibrate: A New Perspective of Robust Contextual LP. - Chunlin Sun; Linyu Liu; Xiaocheng Li (NeurIPS, 2023)

Understanding Uncertainty Sampling. - Shang Liu; Xiaocheng Li (CoRR, 2023)

When No-Rejection Learning is Optimal for Regression with Rejection. - Xiaocheng Li; Shang Liu; Chunlin Sun; Hanzhao Wang (CoRR, 2023)

A Neural Network Based Choice Model for Assortment Optimization. - Hanzhao Wang; Zhongze Cai; 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 001 (CoRR, 2023)

Transformer Choice Net: A Transformer Neural Network for Choice Prediction. - Hanzhao Wang; Xiaocheng Li; Kalyan T. Talluri (CoRR, 2023)

Simple and fast algorithm for binary integer and online linear programming. - Xiaocheng Li; Chunlin Sun; Yinyu Ye 001 (Math. Program., 2023)

When No-Rejection Learning is Consistent for Regression with Rejection. - Xiaocheng Li; Shang Liu; Chunlin Sun; Hanzhao Wang (AISTATS, 2024)

Learning to Make Adherence-aware Advice. - Guanting Chen 001; Xiaocheng Li; Chunlin Sun; Hanzhao Wang (ICLR, 2024)

Towards Better Statistical Understanding of Watermarking LLMs. - Zhongze Cai; Shang Liu; Hanzhao Wang; Huaiyang Zhong; Xiaocheng Li (CoRR, 2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach. - Linyu Liu; Yu Pan; Xiaocheng Li; Guanting Chen 001 (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 001; Xiaocheng Li (CoRR, 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; et al. (CoRR, 2024)

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd. - Shang Liu; Yu Pan; Guanting Chen 001; Xiaocheng Li (CoRR, 2024)

Technical Note - An Improved Analysis of LP-Based Control for Revenue Management. - Guanting Chen 001; Xiaocheng Li; Yinyu Ye 001 (Oper. Res., 2024)

Out-of-distribution Robust Optimization. - Zhongze Cai; Hansheng Jiang; Xiaocheng Li (UAI, 2025)

Collaborative Prediction: To Join or To Disjoin Datasets. - Kyung Rok Kim; Yansong Wang; Xiaocheng Li; Guanting Chen (UAI, 2025)

Technical Note - On Dynamic Pricing with Covariates. - Hanzhao Wang; Kalyan T. Talluri; Xiaocheng Li (Oper. Res., 2025)

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification. - Shang Liu; Zhongze Cai; Guanting Chen 001; Xiaocheng Li (Trans. Mach. Learn. Res., 2025)

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators. - Shang Liu; Hanzhao Wang; Zhongyao Ma; Xiaocheng Li (CoRR, 2025)

OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making. - Hanzhao Wang; Guanting Chen 001; Kalyan T. Talluri; Xiaocheng Li (CoRR, 2025)

Incentivizing High-Quality Human Annotations with Golden Questions. - Shang Liu; Zhongze Cai; Hanzhao Wang; Zhongyao Ma; Xiaocheng Li (CoRR, 2025)