An LC Wireless Microfluidic Sensor Based on Low Temperature Co-Fired Ceramic (LTCC) Technology. - Yongyuan Liang; Mingsheng Ma; Faqiang Zhang; Feng Liu; Zhifu Liu; Dong Wang; Yongxiang Li (Sensors, 2019)

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning. - Yongyuan Liang; Bangwei Li (CoRR, 2020)

FDNAS: Improving Data Privacy and Model Diversity in AutoML. - Chunhui Zhang; Yongyuan Liang; Xiaoming Yuan 002; Lei Cheng 003 (CoRR, 2020)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yifan Jiang 001; Chaojian Li; Yongyuan Liang; Mingchao Jiang; Zhangyang Wang; Yingyan Lin (DAC, 2021)

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

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

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)

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)

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)

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)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. - Guowei Xu 001; Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Zhecheng Yuan; Tianying Ji; Yu Luo; Xiaoyu Liu 003; Jiaxin Yuan; Pu Hua; Shuzhen Li; Yanjie Ze; et al. (ICLR, 2024)

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. - Tianying Ji; Yongyuan Liang; Yan Zeng 002; Yu Luo; Guowei Xu 001; Jiawei Guo; Ruijie Zheng; Furong Huang; Fuchun Sun 001; Huazhe Xu (ICML, 2024)

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. - Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Shuang Ma; Hal Daumé III; Huazhe Xu; John Langford 001; Praveen Palanisamy; Kalyan Shankar Basu; Furong Huang (ICML, 2024)

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. - Yongyuan Liang; Tingqiang Xu; Kaizhe Hu; Guangqi Jiang; Furong Huang; Huazhe Xu (NeurIPS, 2024)

Is poisoning a real threat to LLM alignment? Maybe more so than you think. - Pankayaraj Pathmanathan; Souradip Chakraborty; Xiangyu Liu; Yongyuan Liang; Furong Huang (CoRR, 2024)

Is Poisoning a Real Threat to DPO? Maybe More So Than You Think. - Pankayaraj Pathmanathan; Souradip Chakraborty; Xiangyu Liu; Yongyuan Liang; Furong Huang (AAAI, 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Jianfeng Gao 001 (CVPR, 2025)

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets. - Guangqi Jiang; Yifei Sun; Tao Huang; Huanyu Li 010; Yongyuan Liang; Huazhe Xu (ICLR, 2025)

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. - Ruijie Zheng; Yongyuan Liang; Shuaiyi Huang; Jianfeng Gao 001; Hal Daumé III; Andrey Kolobov; Furong Huang; Jianwei Yang (ICLR, 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Lars Liden; et al. (CoRR, 2025)

MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning. - Zikui Cai; Andrew Wang; Anirudh Satheesh; Ankit Nakhawa; Hyunwoo Jae; Keenan Powell; Minghui Liu; Neel Jay; Sungbin Oh; Xiyao Wang; Yongyuan Liang; Tom Goldstein; et al. (CoRR, 2025)

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs. - Xiyao Wang; Zhengyuan Yang; Chao Feng; Yongyuan Liang; Yuhang Zhou; Xiaoyu Liu 003; Ziyi Zang; Ming Li; Chung-Ching Lin; Kevin Lin; Linjie Li; Furong Huang; et al. (CoRR, 2025)