Huang, Libo

14 publications

ICLR 2026 Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning Xiangqi Li, Libo Huang, Jiarui Zhao, Weilun Feng, Chuanguang Yang, Zhulin An, Yongjun Xu

ICLR 2026 QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu

ICLR 2026 Quantized Visual Geometry Grounded Transformer Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu

NeurIPS 2025 $\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

ICML 2025 Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu

AAAI 2025 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu

AAAI 2025 MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

CVPR 2025 Multi-Party Collaborative Attention Control for Image Customization Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu

AAAI 2025 Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu

ICML 2025 Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

CVPR 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

NeurIPS 2024 Continual Learning in the Frequency Domain Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

NeurIPS 2024 Real-Time Stereo-Based 3D Object Detection for Streaming Perception Changcai Li, Zonghua Gu, Gang Chen, Libo Huang, Wei Zhang, Huihui Zhou

AAAI 2024 eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu