Tao Huang

According to our database, Tao Huang authored at least 32 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DIST+: Knowledge Distillation From a Stronger Adaptive Teacher.

Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

AutoV: Learning to Retrieve Visual Prompt for Large Vision-Language Models.

Yuan Zhang, Chun-Kai Fan, Tao Huang, Ming Lu, Sicheng Yu, Junwen Pan, Kuan Cheng, Qi She, Shanghang Zhang

CoRR, June, 2025

Rethinking Causal Mask Attention for Vision-Language Inference.

Xiaohuan Pei, Tao Huang, Yanxiang Ma, Chang Xu

CoRR, May, 2025

VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation.

Siyu Xu, Yunke Wang, Chenghao Xia, Dihao Zhu, Tao Huang, Chang Xu

CoRR, February, 2025

Learning Mask Invariant Mutual Information for Masked Image Modeling.

Tao Huang, Yanxiang Ma, Shan You, Chang Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders.

Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

Xiaohuan Pei, Tao Huang, Chang Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Diverse and tailored image generation for zero-shot multi-label classification.

Kaixin Zhang, Zhixiang Yuan, Tao Huang

Knowl. Based Syst., 2024

Cross-Self KV Cache Pruning for Efficient Vision-Language Inference.

Xiaohuan Pei, Tao Huang, Chang Xu

CoRR, 2024

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

CoRR, 2024

Unveiling the Tapestry of Consistency in Large Vision-Language Models.

Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Training-Free Composite Scene Generation for Layout-to-Image Synthesis.

Jiaqi Liu, Tao Huang, Chang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

LocalMamba: Visual State Space Model with Windowed Selective Scan.

Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Active Generation for Image Classification.

Tao Huang, Jiaqi Liu, Shan You, Chang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

FreeKD: Knowledge Distillation via Semantic Frequency Prompt.

Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

An energy-aware service placement strategy using hybrid meta-heuristic algorithm in iot environments.

Yuanchao Hu, Tao Huang, Yang Yu, Yunzhu An, Mengdan Cheng, Wen Zhou, Wentao Xian

Clust. Comput., October, 2023

Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models.

Wenhao Li, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Chang Xu

CoRR, 2023

Knowledge Diffusion for Distillation.

Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty.

Yuan Zhang, Weihua Chen, Yichen Lu, Tao Huang, Xiuyu Sun, Jian Cao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Masked Distillation with Receptive Tokens.

Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

LightViT: Towards Light-Weight Convolution-Free Vision Transformers.

Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

CoRR, 2022

Knowledge Distillation from A Stronger Teacher.

Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Relational Surrogate Loss Learning.

Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.

Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya

Proceedings of the IEEE International Conference on Acoustics, 2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization.

Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GreedyNASv2: Greedier Search with a Greedy Path Filter.

Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Locally Free Weight Sharing for Network Width Search.

Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

Proceedings of the 9th International Conference on Learning Representations, 2021

Prioritized Architecture Sampling With Monto-Carlo Tree Search.

Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Explicitly Learning Topology for Differentiable Neural Architecture Search.

Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang

CoRR, 2020

Data Agnostic Filter Gating for Efficient Deep Networks.

Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

CoRR, 2020

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers.

Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao

CoRR, 2020

GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet.

Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020