Li, Xuan

21 publications

CVPR 2025 Articulated Kinematics Distillation from Video Diffusion Models Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang

NeurIPS 2025 Efficient Part-Level 3D Object Generation via Dual Volume Packing Jiaxiang Tang, Ruijie Lu, Max Li, Zekun Hao, Xuan Li, Fangyin Wei, Shuran Song, Gang Zeng, Ming-Yu Liu, Tsung-Yi Lin

NeurIPS 2025 L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias Jingxiao Zhang, Shifei Ding, Jian Zhang, Lili Guo, Xuan Li

ICLRW 2025 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Xuan Li, Zhaocheng Zhu, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

IJCAI 2025 Multi-Modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation Jie Li, Shifei Ding, Lili Guo, Xuan Li

AAAI 2025 SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning Xinyang Liu, Pengchao Han, Xuan Li, Bo Liu

NeurIPS 2024 Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication Yunuo Chen, Tianyi Xie, Zeshun Zong, Xuan Li, Feng Gao, Yin Yang, Ying Nian Wu, Chenfanfu Jiang

CVPRW 2024 DSTCFuse: A Method Based on Dual-Cycled Cross-Awareness of Structure Tensor for Semantic Segmentation via Infrared and Visible Image Fusion Xuan Li, Rongfu Chen, Jie Wang, Lei Ma, Li Cheng, Haiwen Yuan

NeurIPSW 2024 DeepInception: Hypnotize Large Language Model to Be Jailbreaker Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han

AAAI 2024 Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua

ICLR 2024 Less or More from Teacher: Exploiting Trilateral Geometry for Knowledge Distillation Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

ICLR 2024 Neural Atoms: Propagating Long-Range Interaction in Molecular Graphs Through Efficient Communication Channel Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

CVPR 2024 PIE-NeRF: Physics-Based Interactive Elastodynamics with NeRF Yutao Feng, Yintong Shang, Xuan Li, Tianjia Shao, Chenfanfu Jiang, Yin Yang

CVPR 2024 PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics Tianyi Xie, Zeshun Zong, Yuxing Qiu, Xuan Li, Yutao Feng, Yin Yang, Chenfanfu Jiang

IJCAI 2024 WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation Xuan Li, Xiangqian Wu

NeurIPSW 2023 Long-Range Neural Atom Learning for Molecular Graphs Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

ICML 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han

ICLR 2023 PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan

NeurIPSW 2023 Tree-Regularized Tabular Embeddings Xuan Li, Yun Wang, Bo Li

NeurIPS 2022 PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration Xuan Li, Yadi Cao, Minchen Li, Yin Yang, Craig Schroeder, Chenfanfu Jiang

IJCAI 2020 Multi-Scale Two-Way Deep Neural Network for Stock Trend Prediction Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao, Xuan Li, Jianping Shen, Ruifan Li, Xiaojie Wang