Xiaocheng Li - RankMe

69 papers A* 10A 4C 2Misc 1Journal 49Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Partitioned Multi-scale Spatiotemporal Convolutional Neural Network based on a neural connectivity decoupler for motor imagery-EEG decoding. Biomed. Signal Process. Control. Nanqing Zhang, Xianlun Tang, Xingchen Li, Guoqian Jiang, Ying Wang, Xiaocheng Li
2026	J	`jnl`	A crossover-graph convolution network based on spatio-temporal filter for EEG motion intention decoding. Biomed. Signal Process. Control. Xianlun Tang, Yuzhe Tang, Wenyan Li, Xingchen Li, Qiu Chen, Xiaocheng Li
2025	A	`conf`	Collaborative Prediction: To Join or To Disjoin Datasets. UAI Kyung Rok Kim, Yansong Wang, Xiaocheng Li, Guanting Chen
2025	J	`jnl`	Collaborative Prediction: To Join or To Disjoin Datasets. CoRR Kyung Rok Kim, Yansong Wang, Xiaocheng Li, Guanting Chen
2025	J	`jnl`	Exploration-free Algorithms for Multi-group Mean Estimation. CoRR Ziyi Wei, Huaiyang Zhong, Xiaocheng Li
2025	J	`jnl`	How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators. CoRR Shang Liu, Hanzhao Wang, Zhongyao Ma, Xiaocheng Li
2025	J	`jnl`	Incentivizing High-Quality Human Annotations with Golden Questions. CoRR Shang Liu, Zhongze Cai, Hanzhao Wang, Zhongyao Ma, Xiaocheng Li
2025	J	`jnl`	OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making. CoRR Hanzhao Wang, Guanting Chen, Kalyan T. Talluri, Xiaocheng Li
2025	J	`jnl`	Online Stochastic Optimization with Wasserstein-Based Nonstationarity. Manag. Sci. Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang
2025	J	`jnl`	Online-Optimized RAG for Tool Use and Function Calling. CoRR Yu Pan, Xiaocheng Li, Hanzhao Wang
2025	A	`conf`	Out-of-distribution Robust Optimization. UAI Zhongze Cai, Hansheng Jiang, Xiaocheng Li
2025	A*	`conf`	Reward Modeling with Ordinal Feedback: Wisdom of the Crowd. ICML Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li
2025	J	`jnl`	Risk Profiling and Modulation for LLMs. CoRR Yikai Wang, Xiaocheng Li, Guanting Chen
2025	J	`jnl`	Technical Note - On Dynamic Pricing with Covariates. Oper. Res. Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li
2025	J	`jnl`	Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification. Trans. Mach. Learn. Res. Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li
2025	J	`jnl`	Users as Annotators: LLM Preference Learning from Comparison Mode. CoRR Zhongze Cai, Xiaocheng Li
2024	A*	`conf`	Learning to Make Adherence-aware Advice. ICLR Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
2024	J	`jnl`	Personalized Playback Technology: How Short Video Services Create Excellent User Experience. CoRR 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
2024	J	`jnl`	Reward Modeling with Ordinal Feedback: Wisdom of the Crowd. CoRR Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li
2024	J	`jnl`	Technical Note - An Improved Analysis of LP-Based Control for Revenue Management. Oper. Res. Guanting Chen, Xiaocheng Li, Yinyu Ye
2024	J	`jnl`	Towards Better Statistical Understanding of Watermarking LLMs. CoRR Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li
2024	J	`jnl`	Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification. CoRR Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li
2024	J	`jnl`	Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach. CoRR Linyu Liu, Yu Pan, Xiaocheng Li, Guanting Chen
2024	J	`jnl`	Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making. CoRR Hanzhao Wang, Yu Pan, Fupeng Sun, Shang Liu, Kalyan T. Talluri, Guanting Chen, Xiaocheng Li
2024	A	`conf`	When No-Rejection Learning is Consistent for Regression with Rejection. AISTATS Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang
2023	J	`jnl`	A Neural Network Based Choice Model for Assortment Optimization. CoRR Hanzhao Wang, Zhongze Cai, Xiaocheng Li, Kalyan T. Talluri
2023	A*	`conf`	Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. NeurIPS Shang Liu, Zhongze Cai, Xiaocheng Li
2023	J	`jnl`	Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. CoRR Shang Liu, Zhongze Cai, Xiaocheng Li
2023	J	`jnl`	Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction. CoRR Linyu Liu, Zhen Dai, Shiji Song, Xiaocheng Li, Guanting Chen
2023	J	`jnl`	Learning to Make Adherence-Aware Advice. CoRR Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
2023	A*	`conf`	Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. ICML Chunlin Sun, Shang Liu, Xiaocheng Li
2023	J	`jnl`	Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. CoRR Chunlin Sun, Shang Liu, Xiaocheng Li
2023	A*	`conf`	Predict-then-Calibrate: A New Perspective of Robust Contextual LP. NeurIPS Chunlin Sun, Linyu Liu, Xiaocheng Li
2023	J	`jnl`	Simple and fast algorithm for binary integer and online linear programming. Math. Program. Xiaocheng Li, Chunlin Sun, Yinyu Ye
2023	J	`jnl`	Transformer Choice Net: A Transformer Neural Network for Choice Prediction. CoRR Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri
2023	J	`jnl`	Understanding Uncertainty Sampling. CoRR Shang Liu, Xiaocheng Li
2023	J	`jnl`	When No-Rejection Learning is Optimal for Regression with Rejection. CoRR Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang
2022	J	`jnl`	A Unified Image Preprocessing Framework For Image Compression. CoRR Moqi Zhang, Weihui Deng, Xiaocheng Li
2022	J	`jnl`	Deep Learning for Choice Modeling. CoRR Zhongze Cai, Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li
2022	A*	`conf`	Learning from Stochastically Revealed Preference. NeurIPS John R. Birge, Xiaocheng Li, Chunlin Sun
2022	J	`jnl`	Learning to Sell a Focal-ancillary Combination. CoRR Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri
2022	A*	`conf`	Non-stationary Bandits with Knapsacks. NeurIPS Shang Liu, Jiashuo Jiang, Xiaocheng Li
2022	J	`jnl`	Non-stationary Bandits with Knapsacks. CoRR Shang Liu, Jiashuo Jiang, Xiaocheng Li
2022	J	`jnl`	Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. Oper. Res. Xiaocheng Li, Yinyu Ye
2022	J	`jnl`	Quantile Markov Decision Processes. Oper. Res. Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau
2021	C	`conf`	Double Auction-Based Dynamic Role Assignment Algorithm. CIS Fan Liu, Fangzhen Ge, Xiang Li, Longfeng Shen, Xiaocheng Li
2021	J	`jnl`	Fairer LP-based Online Allocation. CoRR Guanting Chen, Xiaocheng Li, Yinyu Ye
2021	J	`jnl`	On Dynamic Pricing with Covariates. CoRR Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li
2021	J	`jnl`	Online Bin Packing with Known T. CoRR Shang Liu, Xiaocheng Li
2021	A*	`conf`	The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. ICML Xiaocheng Li, Chunlin Sun, Yinyu Ye
2021	J	`jnl`	The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. CoRR Xiaocheng Li, Chunlin Sun, Yinyu Ye
2021	—	`conf`	When Do You Need Billions of Words of Pretraining Data? ACL/IJCNLP (1) Yian Zhang, Alex Warstadt, Xiaocheng Li, Samuel R. Bowman
2020	J	`jnl`	Fault diagnosis of rolling element bearing weak fault based on sparse decomposition and broad learning network. Trans. Inst. Meas. Control Xiaocheng Li, Jingcheng Wang, Bin Zhang
2020	—	`conf`	Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). EMNLP (1) Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman
2020	J	`jnl`	Online Stochastic Optimization with Wasserstein Based Non-stationarity. CoRR Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang
2020	A*	`conf`	Simple and Fast Algorithm for Binary Integer and Online Linear Programming. NeurIPS Xiaocheng Li, Chunlin Sun, Yinyu Ye
2020	J	`jnl`	Simple and Fast Algorithm for Binary Integer and Online Linear Programming. CoRR Xiaocheng Li, Chunlin Sun, Yinyu Ye
2019	J	`jnl`	Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. CoRR Xiaocheng Li, Yinyu Ye
2018	Misc	`conf`	Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng
2018	A	`conf`	Recurrent Autoregressive Networks for Online Multi-object Tracking. WACV Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese
2017	J	`jnl`	Cooperative Control of Heterogeneous Uncertain Dynamical Networks: An Adaptive Explicit Synchronization Framework. IEEE Trans. Cybern. Bohui Wang, Jingcheng Wang, Langwen Zhang, Bin Zhang, Xiaocheng Li
2017	A*	`conf`	Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. AAAI Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon
2017	J	`jnl`	Global Cooperative Control Framework for Multiagent Systems Subject to Actuator Saturation With Industrial Applications. IEEE Trans. Syst. Man Cybern. Syst. Bohui Wang, Jingcheng Wang, Bin Zhang, Xiaocheng Li
2017	J	`jnl`	Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans. CoRR Huaiyang Zhong, Xiaocheng Li, David B. Lobell, Stefano Ermon, Margaret L. Brandeau
2017	J	`jnl`	Quantile Markov Decision Process. CoRR Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau
2016	—	`conf`	Dynamic fault tolerant control for multi-agent uncertain system with intermittent sampling. CDC Bohui Wang, Jingcheng Wang, Huifeng Zhu, Bin Zhang, Xiaocheng Li, Xiaofeng Wang, Leijie Dai, Ruiqing Wang
2016	C	`conf`	Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks. ACC Bohui Wang, Yingguan Wang, Bin Zhang, Fengrong Li, Jingcheng Wang, Hai Lin, Xiaocheng Li
2016	J	`jnl`	Leader-follower consensus for multi-agent systems with three-layer network framework and dynamic interaction jointly connected topology. Neurocomputing Bohui Wang, Jingcheng Wang, Bin Zhang, Hai Lin, Xiaocheng Li, Hongyuan Wang
2015	J	`jnl`	A closed-form expansion approach for pricing discretely monitored variance swaps. Oper. Res. Lett. Chenxu Li, Xiaocheng Li