Yang, Huazhong

28 publications

ICCV 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

ICLR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang

ICLRW 2025 MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

NeurIPS 2025 R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang

ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

ICLR 2024 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang

AAAI 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

NeurIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? a Preliminary Study Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

ICML 2024 Evaluating Quantized Large Language Models Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

ICLR 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

WACV 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang

ICCV 2023 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

AAAI 2023 Ensemble-in-One: Ensemble Learning Within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang

AAAI 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang

ICML 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

ECCV 2022 CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang

ECCV 2022 Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu

NeurIPS 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang

NeurIPS 2021 Evaluating Efficient Performance Estimators of Neural Architectures Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang

NeurIPSW 2021 Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu

NeurIPS 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu

ECCV 2020 A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang

CoRL 2020 Attentional Separation-and-Aggregation Network for Self-Supervised Depth-Pose Learning in Dynamic Scenes Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang

ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang

ECCV 2020 High-Quality Single-Model Deep Video Compression with Frame-Conv3D and Multi-Frame Differential Modulation Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang, Yongpan Liu

ECCVW 2018 Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang