Liu, Zixuan

17 publications

MIDL 2026 A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning Zhiwei Tan, Xin Wang, Meng Wang, Zixuan Liu, Yin Guo, Jiamin Xia, Niranjan Balu, Linda Shapiro, Chun Yuan, Mahmud Mossa-Basha

ICLR 2026 Influence Without Confounding: Causal Discovery from Temporal Data with Long-Term Carry-over Effects Fan Li, Zixuan Liu, Yi Zhao, Qi Tan, Jinyang Li, Ke Xu, Shuihai Hu, Jingbin Zhou, Tan Kun

TMLR 2026 Offline Model-Based Optimization: Comprehensive Review Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen

ICLR 2026 Robust Optimization for Mitigating Reward Hacking with Correlated Proxies Zixuan Liu, Xiaolin Sun, Zizhan Zheng

CVPR 2025 BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu, Linda Shapiro, Alex Colburn

NeurIPS 2025 DetectiumFire: A Comprehensive Multi-Modal Dataset Bridging Vision and Language for Fire Understanding Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang

CVPRW 2025 LLaVA-SCo: Teach Vision Language Models to Self-Correct Zixuan Liu, Guangkai Jiang, Siavash H. Khajavi

CoLLAs 2025 On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective Zhiyi Dong, Zixuan Liu, Yongyi Mao

NeurIPS 2025 VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models Chongkai Gao, Zixuan Liu, Zhenghao Chi, Junshan Huang, Xin Fei, Yiwen Hou, Yuxuan Zhang, Yudi Lin, Zhirui Fang, Lin Shao

ICLR 2024 MMICL: Empowering Vision-Language Model with Multi-Modal In-Context Learning Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang

ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

TMLR 2024 Robust Guided Diffusion for Offline Black-Box Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal

TMLR 2023 Dynamics Adapted Imitation Learning Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao

NeurIPS 2023 Importance-Aware Co-Teaching for Offline Model-Based Optimization Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu

ICLR 2023 Over-Training with Mixup May Hurt Generalization Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao

NeurIPS 2023 Parallel-Mentoring for Offline Model-Based Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Chris Pal

NeurIPSW 2022 Over-Training with Mixup May Hurt Generalization Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao