Hu, Zixuan

16 publications

NeurIPS 2025 Adaptive Defense Against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao

ICCV 2025 Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection Under Test-Time Shifts Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan

ICML 2025 Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan

NeurIPS 2025 LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents Rui Li, Zixuan Hu, Wenxi Qu, Jinouwen Zhang, Zhenfei Yin, Sha Zhang, Xuantuo Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang, Wanli Ouyang, Lei Bai, Wangmeng Zuo, Lingyu Duan, Dongzhan Zhou, Shixiang Tang

CVPR 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao

ICML 2025 Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao

ICLR 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

ICLR 2025 Which Tasks Should Be Compressed Together? a Causal Discovery Approach for Efficient Multi-Task Representation Compression Sha Guo, Jing Chen, Zixuan Hu, Zhuo Chen, Wenhan Yang, Yu Lin, Xing Jiang, Lingyu Duan

CVPR 2024 FREE: Faster and Better Data-Free Meta-Learning Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao

CVPR 2024 LEAD: Exploring Logit Space Evolution for Model Selection Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan

ICML 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao

ICML 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-Trained Models Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao

CVPR 2023 Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao

ICCV 2023 Exploring Model Transferability Through the Lens of Potential Energy Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan

ICML 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao

ECCV 2022 Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-Training Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan