Liu, YuXuan

20 publications

ICLR 2026 MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning Kun Huang, Weikai Xu, Yuxuan Liu, Quandong Wang, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang, Bo An

ICLR 2026 SMAN-Bench: A Cross-System Benchmark for Mobile Agents Under Single- and Multi-Path, Ambiguous, and Noisy Tasks Weikai Xu, Zhizheng Jiang, Yuxuan Liu, Pengzhi Gao, Wei Liu, Jian Luan, Yunxin Liu, Yuanchun Li, Bin Wang, Bo An

ICLR 2026 Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics Nima Shoghi, Yuxuan Liu, Yuning Shen, Rob Brekelmans, Pan Li, Quanquan Gu

TMLR 2026 VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley Osher

AAAI 2025 BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking Yuxuan Liu, Hongda Sun, Wenya Guo, Xinyan Xiao, Cunli Mao, Zhengtao Yu, Rui Yan

ICCV 2025 Cross-Modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method Han Wang, Shengyang Li, Jian Yang, Yuxuan Liu, Yixuan Lv, Zhuang Zhou

AAAI 2024 Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model Yuxuan Liu, Haizhou Ai, Junliang Xing, Xuri Li, Xiaoyi Wang, Pin Tao

AAAI 2024 Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong

NeurIPS 2024 ODGEN: Domain-Specific Object Detection Data Generation with Diffusion Models Jingyuan Zhu, Shiyu Li, Yuxuan Liu, Jian Yuan, Ping Huang, Jiulong Shan, Huimin Ma

NeurIPSW 2024 PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics Yuxuan Liu, Jingmin Sun, Xinjie He, Griffin Pinney, Zecheng Zhang, Hayden Schaeffer

AAAI 2024 Text Diffusion with Reinforced Conditioning Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

ICLR 2023 Fairness-Aware Contrastive Learning with Partially Annotated Sensitive Attributes Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao

AAAI 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

ECCV 2022 Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen

ECCV 2022 Tackling Long-Tailed Category Distribution Under Domain Shifts Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang

ICMLW 2022 Towards Multi-Level Fairness and Robustness on Federated Learning Fengda Zhang, Kun Kuang, Yuxuan Liu, Long Chen, Jiaxun Lu, Yunfeng Shao, Fei Wu, Chao Wu, Jun Xiao

ECCVW 2020 ATG-PVD: Ticketing Parking Violations on a Drone Hengli Wang, Yuxuan Liu, Huaiyang Huang, Yuheng Pan, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud Junaid Bocus, Ming Liu, Ioannis Pitas, Rui Fan

NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine

ICML 2018 Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John Co-Reyes, YuXuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine

ICLR 2017 Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine