Yongyuan Liang

According to our database1, Yongyuan Liang authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets.
CoRR, 2024

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion.
CoRR, 2024

Is poisoning a real threat to LLM alignment? Maybe more so than you think.
CoRR, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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

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

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

2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
FDNAS: Improving Data Privacy and Model Diversity in AutoML.
CoRR, 2020

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning.
CoRR, 2020

2019
An LC Wireless Microfluidic Sensor Based on Low Temperature Co-Fired Ceramic (LTCC) Technology.
Sensors, 2019


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