Wang, Yixuan

27 publications

CVPRW 2025 Benchmarking Multi-Modal Semantic Segmentation Under Sensor Failures: Missing and Noisy Modality Robustness Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu

ICLR 2025 Can We Trust Embodied Agents? Exploring Backdoor Attacks Against Embodied LLM-Based Decision-Making Systems Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu

ICLRW 2025 DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning Zhengrong Xue, Shuying Deng, Zhenyang Chen, Yixuan Wang, Zhecheng Yuan, Huazhe Xu

ICML 2025 Directly Forecasting Belief for Reinforcement Learning with Delays Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

ICLR 2025 KAN: Kolmogorov–Arnold Networks Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark

NeurIPS 2025 Long-Term Intracortical Neural Activity and Kinematics (LINK): An Intracortical Neural Dataset for Chronic Brain-Machine Interfaces, Neuroscience, and Machine Learning Hisham Temmar, Yixuan Wang, Nina Gill, Nicholas Mellon, Chang Liu, Luis Hernan Cubillos, Rio I. Parsons, Joseph T Costello, Matteo Ceradini, Madison M. Kelberman, Matthew Mender, Aren Hite, Dylan Michael Wallace, Samuel R. Nason-Tomaszewski, Parag Ganapati Patil, Matt Willsey, Anne Draelos, Cynthia Chestek

ICLR 2025 On the Expressiveness and Spectral Bias of KANs Yixuan Wang, Jonathan W. Siegel, Ziming Liu, Thomas Y. Hou

NeurIPS 2025 Robustifying Learning-Augmented Caching Efficiently Without Compromising 1-Consistency Peng Chen, Hailiang Zhao, Jiaji Zhang, Xueyan Tang, Yixuan Wang, Shuiguang Deng

CoRL 2024 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing Binghao Huang, Yixuan Wang, Xinyi Yang, Yiyue Luo, Yunzhu Li

NeurIPSW 2024 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing Binghao Huang, Yixuan Wang, Xinyi Yang, Yiyue Luo, Yunzhu Li

ICML 2024 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

CoRL 2024 D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

ICLRW 2024 Empowering Autonomous Driving with Large Language Models: A Safety Perspective Yixuan Wang, Ruochen Jiao, Simon Sinong Zhan, Chengtian Lang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

CoRL 2024 GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy Yixuan Wang, Guang Yin, Binghao Huang, Tarik Kelestemur, Jiuguang Wang, Yunzhu Li

NeurIPS 2024 HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng

NeurIPS 2024 Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu

AAAI 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li

NeurIPSW 2024 Scale-Consistent Learning with Neural Operators Zongyi Li, Samuel Lanthaler, Catherine Deng, Yixuan Wang, Kamyar Azizzadenesheli, Anima Anandkumar

L4DC 2024 State-Wise Safe Reinforcement Learning with Pixel Observations Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu

JAIR 2024 Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST) Pouria Salehi, Yang Ba, Nayoung Kim, Ahmadreza Mosallanezhad, Anna Pan, Myke C. Cohen, Yixuan Wang, Jieqiong Zhao, Shawaiz Bhatti, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou

NeurIPS 2024 Variational Delayed Policy Optimization Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

NeurIPSW 2023 D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

ICML 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu

CoRL 2023 Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell

NeurIPSW 2022 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Jiameng Fan, Yixuan Wang, Chao Huang, Xin Chen, Qi Zhu, Wenchao Li

CVPRW 2022 Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery Xingliang Huang, Libo Ren, Chenglong Liu, Yixuan Wang, Hongfeng Yu, Michael Schmitt, Ronny Hänsch, Xian Sun, Hai Huang, Helmut Mayer

ICCV 2021 Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency with Weak Annotator Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu