Yongyuan Liang

According to our database, Yongyuan Liang authored at least 31 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Anticipatory Planning for Multimodal AI Agents.

Yongyuan Liang, Shijie Zhou, Yu Gu, Hao Tan, Gang Wu, Franck Dernoncourt, Jihyung Kil, Ryan A. Rossi, Ruiyi Zhang

CoRR, March, 2026

Learning Situated Awareness in the Real World.

Chuhan Li, Ruilin Han, Joy Hsu, Yongyuan Liang, Rajiv Dhawan, Jiajun Wu, Ming-Hsuan Yang, Xin Eric Wang

CoRR, February, 2026

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation.

Huanyu Li, Kun Lei, Sheng Zang, Kaizhe Hu, Yongyuan Liang, Bo An, Xiaoli Li, Huazhe Xu

CoRR, January, 2026

2025

MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning.

Yuanchen Ju, Yongyuan Liang, Yen-Jen Wang, Nandiraju Gireesh, Yuanliang Ju, Seungjae Lee, Qiao Gu, Elvis Hsieh, Furong Huang, Koushil Sreenath

CoRR, December, 2025

Lemon: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding.

Yongyuan Liang, Xiyao Wang, Yuanchen Ju, Jianwei Yang, Furong Huang

CoRR, December, 2025

TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos.

Seungjae Lee, Yoonkyo Jung, Inkook Chun, Yao-Chih Lee, Zikui Cai, Hongjia Huang, Aayush Talreja, Tan Dat Dao, Yongyuan Liang, Jia-Bin Huang, Furong Huang

CoRR, November, 2025

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation.

Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua

CoRR, November, 2025

ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation.

Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang

CoRR, November, 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, Ziyi Zang, Ming Li, Chung-Ching Lin, Kevin Lin, Linjie Li, Furong Huang, Lijuan Wang

CoRR, June, 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, Furong Huang

CoRR, June, 2025

Magma: A Foundation Model for Multimodal AI Agents.

Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao

CoRR, February, 2025

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang, Huazhe Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Magma: A Foundation Model for Multimodal AI Agents.

Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Jianfeng Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Is Poisoning a Real Threat to DPO? Maybe More So Than You Think.

Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.

Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.

Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang

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.

Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.

Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

FDNAS: Improving Data Privacy and Model Diversity in AutoML.

Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng

CoRR, 2020

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning.

Yongyuan Liang, Bangwei Li

CoRR, 2020

2019

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