Liu, Zixuan

13 publications

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