Yanchao Sun

Orcid: 0000-0001-7392-4472

According to our database1, Yanchao Sun authored at least 62 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies.
CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.
CoRR, 2024

2023
Adaptive interval type-2 fuzzy control for multi-legged underwater robot with input saturation and full-state constraints.
Int. J. Syst. Sci., November, 2023

Fixed-time stable bilateral teleoperation of underwater manipulator using prescribed performance terminal sliding surfaces.
J. Frankl. Inst., March, 2023

Towards Robust and Adaptable Real-World Reinforcement Learning.
PhD thesis, 2023

Distributed containment control for multiple ocean bottom flying nodes with velocity error constraint and input saturation.
J. Frankl. Inst., 2023

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models.
CoRR, 2023

Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning.
CoRR, 2023

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.
CoRR, 2023

Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations.
CoRR, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.
CoRR, 2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.
CoRR, 2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.
CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR, 2023

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL.
CoRR, 2023

Provable Unrestricted Adversarial Training without Compromise with Generalizability.
CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SMART: Self-supervised Multi-task pretrAining with contRol Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Fast fixed-time vertical plane motion control of autonomous underwater gliders in shallow water.
J. Frankl. Inst., 2022

Distributed adaptive neural network constraint containment control for the benthic autonomous underwater vehicles.
Neurocomputing, 2022

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.
CoRR, 2022

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.
Proceedings of the Tenth International Conference on Learning Representations, 2022

DDoS Attack Detection Combining Time Series-based Multi-dimensional Sketch and Machine Learning.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

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.
Int. J. Fuzzy Syst., 2021

Distributed finite-time tracking control for multiple uncertain Euler-Lagrange systems with error constraints.
Int. J. Control, 2021

Distributed Adaptive Coordinated Control of Multiple Euler-Lagrange Systems considering Output Constraints and Time Delays.
Complex., 2021

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics.
Proceedings of the 9th International Conference on Learning Representations, 2021

TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A New Wolves Intelligent Optimization Algorithm.
Proceedings of the 19th IEEE/ACIS International Conference on Computer and Information Science, 2021

Research on the Model of Academic Status Based on Deep Learning.
Proceedings of the 19th IEEE/ACIS International Conference on Computer and Information Science, 2021

2020
Adaptive Fault-Tolerant Prescribed-Time Control for Teleoperation Systems With Position Error Constraints.
IEEE Trans. Ind. Informatics, 2020

Observer based active vibration control of flexible space structures with prescribed performance.
J. Frankl. Inst., 2020

Finite-time output-feedback control for teleoperation systems subject to mismatched term and state constraints.
J. Frankl. Inst., 2020

Finite-time trajectory tracking control of unmanned surface vessel with error constraints and input saturations.
J. Frankl. Inst., 2020

Distributed finite-time fault-tolerant containment control for multiple ocean bottom flying nodes.
J. Frankl. Inst., 2020

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics.
CoRR, 2020

Can Agents Learn by Analogy?: An Inferable Model for PAC Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Understanding Generalization in Deep Learning via Tensor Methods.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Distributed chattering-free containment control for multiple Euler-Lagrange systems.
J. Frankl. Inst., 2019

Backstepping-Based Distributed Finite-Time Coordinated Tracking Control for Multiple Uncertain Euler-Lagrange Systems.
Int. J. Fuzzy Syst., 2019

The Distributed Adaptive Finite-Time Chattering Reduction Containment Control for Multiple Ocean Bottom Flying Nodes.
Int. J. Fuzzy Syst., 2019

Distributed Coordinated Tracking Control for Multiple Uncertain Euler-Lagrange Systems With Time-Varying Communication Delays.
IEEE Access, 2019

Fault-Tolerant Prescribed Performance Control Algorithm for Underwater Acoustic Sensor Network Nodes With Thruster Saturation.
IEEE Access, 2019

Disturbance-Observer-Based Prescribed Performance Fault-Tolerant Trajectory Tracking Control for Ocean Bottom Flying Node.
IEEE Access, 2019

2018
Distributed finite-time coordinated control for multi-robot systems.
Trans. Inst. Meas. Control, 2018

Image Annotation Algorithm Based on Semantic Similarity and Multi-features.
Proceedings of the Smart Computing and Communication - Third International Conference, 2018

An Improved Deep Belief Network Prediction Method.
Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science, 2018

Research on Undergraduate Academic Prediction Model Based on Deep Learning.
Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science, 2018

2017
Adaptive neural network tracking control for multiple uncertain Euler-Lagrange systems with communication delays.
J. Frankl. Inst., 2017

Collaborative Inference of Coexisting Information Diffusions.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2014
A guidance law design with terminal impact angle constraint based on nonlinear generalized predictive control.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

On Spacecraft Relative Orbital Motion Based on Main-Flying Direction Method.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

Dynamic Output Feedback Guaranteed Cost Control for T-S Fuzzy Systems with Uncertainties and Time Delays.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

2013
PEEC Modeling for Linear and Platy Structures with Efficient Capacitance Calculations.
Proceedings of the Intelligent Computing Theories and Technology, 2013


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