PEEC Modeling for Linear and Platy Structures with Efficient Capacitance Calculations. - Yanchao Sun; Junjun Wang; Xinwei Song; Wen Li (ICIC (2), 2013)

Dynamic Output Feedback Guaranteed Cost Control for T-S Fuzzy Systems with Uncertainties and Time Delays. - Guangfu Ma; Yanchao Sun; Jingjing Ma; Chuanjiang Li; Shuo Sun (ICIC (2), 2014)

On Spacecraft Relative Orbital Motion Based on Main-Flying Direction Method. - Yanchao Sun; Huixiang Ling; Chuanjiang Li; Guangfu Ma; Wenrui Zhao (ICIC (2), 2014)

A guidance law design with terminal impact angle constraint based on nonlinear generalized predictive control. - Teng Lv; Chuanjiang Li; Yanchao Sun; Guangfu Ma; Junzi Xiao (ICSAI, 2014)

Collaborative Inference of Coexisting Information Diffusions. - Yanchao Sun; Cong Qian; Ning Yang 001; Philip S. Yu (ICDM, 2017)

Adaptive neural network tracking control for multiple uncertain Euler-Lagrange systems with communication delays. - Yanchao Sun; Liangming Chen; Guangfu Ma; Chuanjiang Li (J. Frankl. Inst., 2017)

Research on Undergraduate Academic Prediction Model Based on Deep Learning. - Yanchao Sun; Xu Qian; Minzheng Jia; Jing Bai (ICIS, 2018)

An Improved Deep Belief Network Prediction Method. - Yanchao Sun; Xu Qian; Minzheng Jia; Jing Bai (ICIS, 2018)

Image Annotation Algorithm Based on Semantic Similarity and Multi-features. - Jingxiu Ni; Dongxing Wang; Guoying Zhang; Yanchao Sun; Xinkai Xu (SmartCom, 2018)

Distributed finite-time coordinated control for multi-robot systems. - Yanchao Sun; Guangfu Ma; Mengmeng Liu; Chuanjiang Li; Junbo Liang (Trans. Inst. Meas. Control, 2018)

Disturbance-Observer-Based Prescribed Performance Fault-Tolerant Trajectory Tracking Control for Ocean Bottom Flying Node. - Hongde Qin; Zheyuan Wu; Yanchao Sun; Hui Chen (IEEE Access, 2019)

Fault-Tolerant Prescribed Performance Control Algorithm for Underwater Acoustic Sensor Network Nodes With Thruster Saturation. - Hongde Qin; Zheyuan Wu; Yanchao Sun; Chao Zhang; Chuan Lin (IEEE Access, 2019)

Distributed Coordinated Tracking Control for Multiple Uncertain Euler-Lagrange Systems With Time-Varying Communication Delays. - Yanchao Sun; Dingran Dong; Hongde Qin; Ning Wang 002; Xiaojia Li (IEEE Access, 2019)

The Distributed Adaptive Finite-Time Chattering Reduction Containment Control for Multiple Ocean Bottom Flying Nodes. - Hongde Qin; Hui Chen; Yanchao Sun; Zheyuan Wu (Int. J. Fuzzy Syst., 2019)

Backstepping-Based Distributed Finite-Time Coordinated Tracking Control for Multiple Uncertain Euler-Lagrange Systems. - Yanchao Sun; Dingran Dong; Hongde Qin (Int. J. Fuzzy Syst., 2019)

Distributed chattering-free containment control for multiple Euler-Lagrange systems. - Yanchao Sun; Liangliang Chen; Hongde Qin (J. Frankl. Inst., 2019)

Understanding Generalization in Deep Learning via Tensor Methods. - Jingling Li; Yanchao Sun; Jiahao Su; Taiji Suzuki; Furong Huang (AISTATS, 2020)

Can Agents Learn by Analogy?: An Inferable Model for PAC Reinforcement Learning. - Yanchao Sun; Furong Huang (AAMAS, 2020)

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. - Yanchao Sun; Furong Huang (CoRR, 2020)

Distributed finite-time fault-tolerant containment control for multiple ocean bottom flying nodes. - Hongde Qin; Hui Chen; Yanchao Sun (J. Frankl. Inst., 2020)

Finite-time trajectory tracking control of unmanned surface vessel with error constraints and input saturations. - Hongde Qin; Chengpeng Li; Yanchao Sun; Xiaojia Li; Yutong Du; Zhongchao Deng (J. Frankl. Inst., 2020)

Finite-time output-feedback control for teleoperation systems subject to mismatched term and state constraints. - Ziwei Wang 001; Yu Tian; Yanchao Sun; Bin Liang 001 (J. Frankl. Inst., 2020)

Observer based active vibration control of flexible space structures with prescribed performance. - Chao Zhang; Guangfu Ma; Yanchao Sun; Chuanjiang Li (J. Frankl. Inst., 2020)

Adaptive Fault-Tolerant Prescribed-Time Control for Teleoperation Systems With Position Error Constraints. - Ziwei Wang 001; Bin Liang 001; Yanchao Sun; Tao Zhang 006 (IEEE Trans. Ind. Informatics, 2020)

Research on the Model of Academic Status Based on Deep Learning. - Yanchao Sun; Wei Chen; Minzheng Jia (ICIS, 2021)

A New Wolves Intelligent Optimization Algorithm. - Yanchao Sun; Wei Chen; Yuqing Wu (ICIS, 2021)

TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. - Yanchao Sun; Xiangyu Yin; Furong Huang (AAAI, 2021)

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. - Yanchao Sun; Da Huo; Furong Huang (ICLR, 2021)

Distributed Adaptive Coordinated Control of Multiple Euler-Lagrange Systems considering Output Constraints and Time Delays. - Hongde Qin; Xiaojia Li; Yanchao Sun (Complex., 2021)

Distributed finite-time tracking control for multiple uncertain Euler-Lagrange systems with error constraints. - Liangliang Chen; Chuanjiang Li; Yanchao Sun; Guangfu Ma (Int. J. Control, 2021)

Adaptive Interval Type-2 Fuzzy Fixed-time Control for Underwater Walking Robot with Error Constraints and Actuator Faults Using Prescribed Performance Terminal Sliding-mode Surfaces. - Hongde Qin; He Yang; Yanchao Sun; Yuang Zhang (Int. J. Fuzzy Syst., 2021)

DDoS Attack Detection Combining Time Series-based Multi-dimensional Sketch and Machine Learning. - Yanchao Sun; Yuanfeng Han; Yue Zhang; Mingsong Chen 001; Shui Yu 001; Yimin Xu (APNOMS, 2022)

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. - Yanchao Sun; Ruijie Zheng; Yongyuan Liang; Furong Huang (ICLR, 2022)

Transfer RL across Observation Feature Spaces via Model-Based Regularization. - Yanchao Sun; Ruijie Zheng; Xiyao Wang; Andrew E. Cohen; Furong Huang (ICLR, 2022)

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Hechang Chen; Sili Huang; Haiyin Piao; Yi Chang 001; Lichao Sun 001 (NeurIPS, 2022)

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. - Yongyuan Liang; Yanchao Sun; Ruijie Zheng; Furong Huang (NeurIPS, 2022)

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. - Kaiwen Yang; Yanchao Sun; Jiahao Su; Fengxiang He; Xinmei Tian 001; Furong Huang; Tianyi Zhou 001; Dacheng Tao (NeurIPS, 2022)

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. - Yanchao Sun; Ruijie Zheng; Parisa Hassanzadeh; Yongyuan Liang; Soheil Feizi; Sumitra Ganesh; Furong Huang (CoRR, 2022)

Distributed adaptive neural network constraint containment control for the benthic autonomous underwater vehicles. - Yanchao Sun; Yutong Du; Hongde Qin (Neurocomputing, 2022)

Fast fixed-time vertical plane motion control of autonomous underwater gliders in shallow water. - Lei Wan; Dongliang Zhang; Yanchao Sun; Hongde Qin; Yu Cao; Guofang Chen (J. Frankl. Inst., 2022)

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. - Yao Wei 002; Yanchao Sun; Ruijie Zheng; Sai Vemprala; Rogerio Bonatti; Shuhang Chen; Ratnesh Madaan; Zhongjie Ba; Ashish Kapoor; Shuang Ma (ICCV, 2023)

SMART: Self-supervised Multi-task pretrAining with contRol Transformers. - Yanchao Sun; Shuang Ma; Ratnesh Madaan; Rogerio Bonatti; Furong Huang; Ashish Kapoor (ICLR, 2023)

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. - Yanchao Sun; Ruijie Zheng; Parisa Hassanzadeh; Yongyuan Liang; Soheil Feizi; Sumitra Ganesh; Furong Huang (ICLR, 2023)

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. - Yuancheng Xu; Yanchao Sun; Micah Goldblum; Tom Goldstein; Furong Huang (ICLR, 2023)

Learning Generalizable Agents via Saliency-guided Features Decorrelation. - Sili Huang; Yanchao Sun; Jifeng Hu; Siyuan Guo; Hechang Chen; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2023)

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. - Ruijie Zheng; Xiyao Wang; Yanchao Sun; Shuang Ma; Jieyu Zhao 001; Huazhe Xu; Hal Daumé III; Furong Huang (NeurIPS, 2023)

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL. - Xiangyu Liu; Souradip Chakraborty; Yanchao Sun; Furong Huang (CoRR, 2023)

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Sili Huang; Siyuan Guo; Hechang Chen; Li Shen 008; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2023)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. - Siyuan Guo; Yanchao Sun; Jifeng Hu; Sili Huang; Hechang Chen; Haiyin Piao; Lichao Sun 001; Yi Chang 001 (CoRR, 2023)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. - Yongyuan Liang; Yanchao Sun; Ruijie Zheng; Xiangyu Liu; Tuomas Sandholm; Furong Huang; Stephen McAleer (CoRR, 2023)

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. - Yuancheng Xu; Chenghao Deng; Yanchao Sun; Ruijie Zheng; Xiyao Wang; Jieyu Zhao 001; Furong Huang (CoRR, 2023)

Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. - Zhili Zhang; Yanchao Sun; Furong Huang; Fei Miao (CoRR, 2023)

Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning. - Aakriti Agrawal; Rohith Aralikatti; Yanchao Sun; Furong Huang (CoRR, 2023)

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. - Yuchen Xiao; Yanchao Sun; Mengda Xu; Udari Madhushani; Jared Vann; Deepeka Garg; Sumitra Ganesh (CoRR, 2023)

Distributed containment control for multiple ocean bottom flying nodes with velocity error constraint and input saturation. - Yanchao Sun; Ruijie Jing; Hongde Qin; Hui Chen; Yutong Du (J. Frankl. Inst., 2023)

Towards Robust and Adaptable Real-World Reinforcement Learning. - Yanchao Sun (2023)

Fixed-time stable bilateral teleoperation of underwater manipulator using prescribed performance terminal sliding surfaces. - Hongde Qin; He Yang; Yanchao Sun; Linsen Feng (J. Frankl. Inst., 2023)

Adaptive interval type-2 fuzzy control for multi-legged underwater robot with input saturation and full-state constraints. - Yanchao Sun; Xinyan Chen; Ziwei Wang 001; Hongde Qin; Ruijie Jing (Int. J. Syst. Sci., 2023)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. - Yongyuan Liang; Yanchao Sun; Ruijie Zheng; Xiangyu Liu; Benjamin Eysenbach; Tuomas Sandholm; Furong Huang; Stephen Marcus McAleer (ICLR, 2024)

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. - Xiangyu Liu; Souradip Chakraborty; Yanchao Sun; Furong Huang (ICLR, 2024)

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. - Xiangyu Liu; Chenghao Deng; Yanchao Sun; Yongyuan Liang; Furong Huang (ICLR, 2024)

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. - Xiyao Wang; Ruijie Zheng; Yanchao Sun; Ruonan Jia; Wichayaporn Wongkamjan; Huazhe Xu; Furong Huang (ICLR, 2024)

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. - Yuancheng Xu; Chenghao Deng; Yanchao Sun; Ruijie Zheng; Xiyao Wang; Jieyu Zhao 001; Furong Huang (ICML, 2024)

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. - Yuancheng Xu; Jiarui Yao; Manli Shu; Yanchao Sun; Zichu Wu; Ning Yu 006; Tom Goldstein; Furong Huang (NeurIPS, 2024)

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. - Aiwei Liu; Haoping Bai; Zhiyun Lu; Yanchao Sun; Xiang Kong; Simon Wang; Jiulong Shan; Albin Madappally Jose; Xiaojiang Liu; Lijie Wen 001; Philip S. Yu; Meng Cao (CoRR, 2024)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. - Zhi Zhang 012; Chris Chow; Yasi Zhang; Yanchao Sun; Haochen Zhang; Eric Hanchen Jiang; Han Liu 001; Furong Huang; Yuchen Cui; Oscar Hernan Madrid Padilla (CoRR, 2024)

Provable Unrestricted Adversarial Training Without Compromise With Generalizability. - Lilin Zhang; Ning Yang 001; Yanchao Sun; Philip S. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory. - Zhi Zhang 012; Chris Chow; Yasi Zhang; Yanchao Sun; Haochen Zhang; Eric Hanchen Jiang; Han Liu 001; Furong Huang; Yuchen Cui; Oscar Hernan Madrid Padilla (AISTATS, 2025)

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. - Aiwei Liu; Haoping Bai; Zhiyun Lu; Yanchao Sun; Xiang Kong; Xiaoming Simon Wang; Jiulong Shan; Albin Madappally Jose; Xiaojiang Liu; Lijie Wen 001; Philip S. Yu; Meng Cao (ICLR, 2025)

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. - Guoli Yin; Haoping Bai; Shuang Ma; Feng Nan; Yanchao Sun; Zhaoyang Xu; Shen Ma; Jiarui Lu; Xiang Kong; Aonan Zhang; Dian Ang Yap; Yizhe Zhang 002; et al. (NAACL (Findings), 2025)

Distributed state constraint containment control of multi-AUV formation with unknown control direction. - Ruijie Jing; Yanchao Sun; Hongde Qin; Yuang Zhang; Linsen Feng (Trans. Inst. Meas. Control, 2025)

Interleaved Reasoning for Large Language Models via Reinforcement Learning. - Roy Xie; David Qiu; Deepak Gopinath; Dong Lin; Yanchao Sun; Chong Wang; Saloni Potdar; Bhuwan Dhingra (CoRR, 2025)

Apple Intelligence Foundation Language Models: Tech Report 2025. - Hanzhi Zhou; Erik Hornberger; Pengsheng Guo; Xiyou Zhou; Saiwen Wang; Xin Wang; Yifei He; Xuankai Chang; Rene Rauch; Louis D'hauwe; John Peebles; Alec Doane; et al. (CoRR, 2025)

Checklists Are Better Than Reward Models For Aligning Language Models. - Vijay Viswanathan 002; Yanchao Sun; Shuang Ma; Xiang Kong; Meng Cao; Graham Neubig; Tongshuang Wu (CoRR, 2025)