Biography

My name is Tao Huang (黄涛). I am a tenure-track assistant professor in John Hopcropt Center for Computer Science, School of Computer Science, Shanghai Jiao Tong University since 2025. I received my Ph.D. degree in Computer Science at The University of Sydney, advised by Prof. Chang Xu. Before that, I obtained the Bachelor's degree at Huazhong University of Science and Technology, and then spent two years as a Researcher at SenseTime.

My major research interests lie within efficient deep learning algorithms and their applications in computer vision tasks:

• Efficient architectures: NAS, handcrafts ...
• Efficient training: training acceleration, KD, PEFT ...
• Efficient data: self-supervised learning, generated training contents ...
• Efficient inference: pruning, dynamic networks ...
• Efficient large models: VLMs, Generative Models, VLAs ...

🚩 I am recruiting interns, Master and PhD students working in the areas of large models and embodied AI, drop me an email if interested.

Tao Huang
Assistant Professor, PhD Advisor
Shanghai Jiao Tong University
Email: huntocn[at]gmail.com

     

News

• [2025/04] Invited to serve as an Area Chair of NeurIPS 2025.
• [2025/03] One paper was accepted to TPAMI.
• [2025/03] One paper was accepted to CVPR 2025.
• [2025/01] One paper was accepted to ICLR 2025.
• [2025/01] We released MiniMax-01 [tech report] [Github] [Hugging Face].
• [2024/12] One paper was accepted to AAAI 2025.
• [2024/09] One paper was accepted to NeurIPS 2024.
• [2024/07] I gave a talk about "Efficient Large Models" at Peking University. Many thanks to Prof. Shanghang Zhang for the invitation.
• [2024/07] Two papers were accepted to ECCV 2024.
• [2024/06] I co-organized TNNLS 2024 Tutorial "Efficient and Secure Foundation Models" and gave a talk.
• [2024/06] One paper was accepted to journal Knowledge-Based Systems.
• [2024/03] Our PU-MLC was accepted to ICME 2024 as oral.
• [2024/03] We released ActGen & LocalMamba & EfficientVMamba at arXiv.

Publications [Google Scholar]

• DIST+: Knowledge Distillation from A Stronger Adaptive Teacher
  
  Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

  TPAMI 2025 Paper Bib PDF

                      @article{huang2025dist,
                          author={Huang, Tao and You, Shan and Wang, Fei and Qian, Chen and Xu, Chang},
                          journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
                          title={DIST+: Knowledge Distillation From a Stronger Adaptive Teacher}, 
                          year={2025},
                          volume={},
                          number={},
                          pages={1-15},
                          doi={10.1109/TPAMI.2025.3554235}}                      
                  

• 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
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

  CVPR 2025 ArXiv Bib Code

• Learning Mask Invariant Mutual Information for Masked Image Modeling
  
  Tao Huang*, Yanxiang Ma*, Shan You, Chang Xu
  International Conference on Learning Representations (ICLR), 2025.

  ICLR 2025 ArXiv Bib

• MiniMax-01: Scaling Foundation Models with Lightning Attention
  
  Technical Report, 2025

  Tech Report ArXiv Bib Code Hugging Face

                      @misc{minimax2025minimax01scalingfoundationmodels,
                          title={MiniMax-01: Scaling Foundation Models with Lightning Attention}, 
                          author={MiniMax and Aonian Li and Bangwei Gong and Bo Yang and Boji Shan and Chang Liu and Cheng Zhu and Chunhao Zhang and Congchao Guo and Da Chen and Dong Li and Enwei Jiao and Gengxin Li and Guojun Zhang and Haohai Sun and Houze Dong and Jiadai Zhu and Jiaqi Zhuang and Jiayuan Song and Jin Zhu and Jingtao Han and Jingyang Li and Junbin Xie and Junhao Xu and Junjie Yan and Kaishun Zhang and Kecheng Xiao and Kexi Kang and Le Han and Leyang Wang and Lianfei Yu and Liheng Feng and Lin Zheng and Linbo Chai and Long Xing and Meizhi Ju and Mingyuan Chi and Mozhi Zhang and Peikai Huang and Pengcheng Niu and Pengfei Li and Pengyu Zhao and Qi Yang and Qidi Xu and Qiexiang Wang and Qin Wang and Qiuhui Li and Ruitao Leng and Shengmin Shi and Shuqi Yu and Sichen Li and Songquan Zhu and Tao Huang and Tianrun Liang and Weigao Sun and Weixuan Sun and Weiyu Cheng and Wenkai Li and Xiangjun Song and Xiao Su and Xiaodong Han and Xinjie Zhang and Xinzhu Hou and Xu Min and Xun Zou and Xuyang Shen and Yan Gong and Yingjie Zhu and Yipeng Zhou and Yiran Zhong and Yongyi Hu and Yuanxiang Fan and Yue Yu and Yufeng Yang and Yuhao Li and Yunan Huang and Yunji Li and Yunpeng Huang and Yunzhi Xu and Yuxin Mao and Zehan Li and Zekang Li and Zewei Tao and Zewen Ying and Zhaoyang Cong and Zhen Qin and Zhenhua Fan and Zhihang Yu and Zhuo Jiang and Zijia Wu},
                          year={2025},
                          eprint={2501.08313},
                          archivePrefix={arXiv},
                          primaryClass={cs.CL},
                          url={https://arxiv.org/abs/2501.08313}, 
                      }
                  

• EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
  
  Xiaohuan Pei*, Tao Huang*, Chang Xu
  In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

  AAAI 2025 ArXiv Code

• 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
  Advances in Neural Information Processing Systems (NeurIPS), 2024.

  NeurIPS 2024 ArXiv Bib Code

                      @inproceedings{zhang2024unveiling,
                          author = {Zhang, Yuan and Xiao, Fei and Huang, Tao and Fan, Chun-Kai and Dong, Hongyuan and Li, Jiawen and Wang, Jiacong and Cheng, Kuan and Zhang, Shanghang and Guo, Haoyuan},
                          booktitle = {Advances in Neural Information Processing Systems},
                          title = {Unveiling the Tapestry of Consistency in Large Vision-Language Models},
                          year = {2024}
                      }
                  

• LocalMamba: Visual State Space Model with Windowed Selective Scan
  
  Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu
  Efficient Deep Learning for Foundation Models, European Conference on Computer Vision (ECCV) Workshop, 2024.

  ECCVW 2024 ArXiv Bib Code

                      @article{huang2024localmamba,
                          title={Localmamba: Visual state space model with windowed selective scan},
                          author={Huang, Tao and Pei, Xiaohuan and You, Shan and Wang, Fei and Qian, Chen and Xu, Chang},
                          journal={arXiv preprint arXiv:2403.09338},
                          year={2024}
                      }
                  

• Active Generation for Image Classification
  
  Tao Huang*, Jiaqi Liu*, Shan You, Chang Xu
  European Conference on Computer Vision (ECCV), 2024.

  ECCV 2024 ArXiv Bib Code

                      @inproceedings{huang2024active,
                          title={Active Generation for Image Classification},
                          author={Huang, Tao and Liu, Jiaqi and You, Shan and Xu, Chang},
                          booktitle={European Conference on Computer Vision},
                          year={2024},
                          organization={Springer}
                      }
                  

• Training-free Composite Scene Generation for Layout-to-Image Synthesis
  
  Jiaqi Liu, Tao Huang, Chang Xu
  European Conference on Computer Vision (ECCV), 2024.

  ECCV 2024 ArXiv Bib Code

                      @inproceedings{liu2024training,
                          title={Training-free Composite Scene Generation for Layout-to-Image Synthesis},
                          author={Liu, Jiaqi and Huang, Tao and Xu, Chang},
                          booktitle={European Conference on Computer Vision},
                          year={2024},
                          organization={Springer}
                      }
                  

• Diverse and Tailored Image Generation for Zero-Shot Multi-Label Classification
  
  Kaixin Zhang, Zhixiang Yuan, Tao Huang
  Knowledge-Based Systems (KBS), Volume 299, 5 September 2024, 112077.

  KBS 2024 ArXiv Bib KBS Code

                      @article{ZHANG2024112077,
                          title = {Diverse and tailored image generation for zero-shot multi-label classification},
                          journal = {Knowledge-Based Systems},
                          volume = {299},
                          pages = {112077},
                          year = {2024},
                          issn = {0950-7051},
                          doi = {https://doi.org/10.1016/j.knosys.2024.112077},
                          url = {https://www.sciencedirect.com/science/article/pii/S0950705124007111},
                          author = {Kaixin Zhang and Zhixiang Yuan and Tao Huang},
                          keywords = {Zero-shot multi-label learning, Deep generative model, Diffusion model, Synthetic data},
                      }
                  

• Positive Label Is All You Need for Multi-Label Classification🚩 Oral
  
  Zhixiang Yuan, Kaixin Zhang, Tao Huang
  IEEE International Conference on Multimedia and Expo (ICME), 2024.

  ICME 2024 ArXiv Bib Code

                      @inproceedings{yuan2024positive,
                          title={Positive label is all you need for multi-label classification},
                          author={Yuan, Zhixiang and Zhang, Kaixin and Huang, Tao},
                          booktitle={2024 IEEE International Conference on Multimedia and Expo (ICME)},
                          pages={1--6},
                          year={2024},
                          organization={IEEE}
                      }
                  

• FreeKD: Knowledge Distillation via Semantic Frequency Prompt
  
  Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

  CVPR 2024 ArXiv Bib Code

                      @inproceedings{zhang2024freekd,
                          title={FreeKD: Knowledge Distillation via Semantic Frequency Prompt},
                          author={Zhang, Yuan and Huang, Tao and Liu, Jiaming and Jiang, Tao and Cheng, Kuan and Zhang, Shanghang},
                          booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
                          pages={15931--15940},
                          year={2024}
                      }
                  

• Knowledge Diffusion for Distillation
  
  Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
  Advances in Neural Information Processing Systems (NeurIPS), 2023.

  NeurIPS 2023 ArXiv Bib Poster Code

                      @inproceedings{huang2023knowledge,
                          author = {Huang, Tao and Zhang, Yuan and Zheng, Mingkai and You, Shan and Wang, Fei and Qian, Chen and Xu, Chang},
                          booktitle = {Advances in Neural Information Processing Systems},
                          editor = {A. Oh and T. Naumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
                          pages = {65299--65316},
                          publisher = {Curran Associates, Inc.},
                          title = {Knowledge Diffusion for Distillation},
                          url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/cdddf13f06182063c4dbde8cbd5a5c21-Paper-Conference.pdf},
                          volume = {36},
                          year = {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 31th ACM International Conference on Multimedia (ACM MM), 2023.

  ACM MM 2023 ArXiv Bib Code

                      @inproceedings{zhang2023avatar,
                          title={Avatar knowledge distillation: self-ensemble teacher paradigm with uncertainty},
                          author={Zhang, Yuan and Chen, Weihua and Lu, Yichen and Huang, Tao and Sun, Xiuyu and Cao, Jian},
                          booktitle={Proceedings of the 31st ACM International Conference on Multimedia},
                          pages={5272--5280},
                          year={2023}
                      }
                  

• Masked Distillation with Receptive Tokens
  
  Tao Huang*, Yuan Zhang*, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
  International Conference on Learning Representations (ICLR), 2023.

  ICLR 2023 ArXiv Bib Code

                      @inproceedings{
                          huang2023masked,
                          title={Masked Distillation with Receptive Tokens},
                          author={Tao Huang and Yuan Zhang and Shan You and Fei Wang and Chen Qian and Jian Cao and Chang Xu},
                          booktitle={The Eleventh International Conference on Learning Representations },
                          year={2023},
                          url={https://openreview.net/forum?id=mWRngkvIki3}
                      }
                  

• Knowledge Distillation from A Stronger Teacher
  
  Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
  Advances in Neural Information Processing Systems (NeurIPS), 2022.

  NeurIPS 2022 ArXiv Bib Slides Poster 解读 Code

                      @inproceedings{huang2022knowledge,
                          author = {Huang, Tao and You, Shan and Wang, Fei and Qian, Chen and Xu, Chang},
                          booktitle = {Advances in Neural Information Processing Systems},
                          editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
                          pages = {33716--33727},
                          publisher = {Curran Associates, Inc.},
                          title = {Knowledge Distillation from A Stronger Teacher},
                          url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/da669dfd3c36c93905a17ddba01eef06-Paper-Conference.pdf},
                          volume = {35},
                          year = {2022}
                      }
                  

• Quantum circuit architecture search for variational quantum algorithms
  
  Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao
  Nature Partner Journals Quantum Information (NPJ QI), 2022.
  

  NPJ QI 2022 ArXiv Bib Nature Code

                  @article{du2022quantum,
                      author = {Du, Yuxuan and Huang, Tao and You, Shan and Hsieh, Min-Hsiu and Tao, Dacheng},
                      date = {2022/05/23},
                      doi = {10.1038/s41534-022-00570-y},
                      id = {Du2022},
                      isbn = {2056-6387},
                      journal = {npj Quantum Information},
                      number = {1},
                      pages = {62},
                      title = {Quantum circuit architecture search for variational quantum algorithms},
                      url = {https://doi.org/10.1038/s41534-022-00570-y},
                      volume = {8},
                      year = {2022},
                      bdsk-url-1 = {https://doi.org/10.1038/s41534-022-00570-y}
                  }
                  

• GreedyNASv2: Greedier Search with a Greedy Path Filter
  
  Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  

  CVPR 2022 ArXiv Bib Poster

                      @inproceedings{huang2022greedynasv2,
                          title={Greedynasv2: greedier search with a greedy path filter},
                          author={Huang, Tao and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Wang, Xiaogang and Xu, Chang},
                          booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
                          pages={11902--11911},
                          year={2022}
                      }
                  

• DyRep: Bootstrapping Training with Dynamic Re-parameterization
  
  Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  

  CVPR 2022 ArXiv Bib Poster Code

                      @inproceedings{huang2022dyrep,
                          title={Dyrep: bootstrapping training with dynamic re-parameterization},
                          author={Huang, Tao and You, Shan and Zhang, Bohan and Du, Yuxuan and Wang, Fei and Qian, Chen and Xu, Chang},
                          booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
                          pages={588--597},
                          year={2022}
                      }
                  

• Relational Surrogate Loss Learning
  
  Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
  International Conference on Learning Representations (ICLR), 2022.
  

  ICLR 2022 ArXiv Bib Poster Slides Code

                      @inproceedings{
                          huang2022relational,
                          title={Relational Surrogate Loss Learning},
                          author={Tao Huang and Zekang Li and Hua Lu and Yong Shan and Shusheng Yang and Yang Feng and Fei Wang and Shan You and Chang Xu},
                          booktitle={International Conference on Learning Representations},
                          year={2022},
                          url={https://openreview.net/forum?id=dZPgfwaTaXv}
                      }
                  

• 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
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

  ICASSP 2022 ArXiv Bib

                      @inproceedings{xu2022data,
                          title={Data agnostic filter gating for efficient deep networks},
                          author={Xu, Hongyan and Su, Xiu and You, Shan and Huang, Tao and Wang, Fei and Qian, Chen and Zhang, Changshui and Xu, Chang and Wang, Dadong and Sowmya, Arcot},
                          booktitle={ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
                          pages={3503--3507},
                          year={2022},
                          organization={IEEE}
                      }
                  

• Prioritized Architecture Sampling with Monto-Carlo Tree Search
  
  Xiu Su*, Tao Huang*, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  

  CVPR 2021 ArXiv Bib Poster NAS-Bench-Macro

                      @inproceedings{su2021prioritized,
                          title={Prioritized architecture sampling with monto-carlo tree search},
                          author={Su, Xiu and Huang, Tao and Li, Yanxi and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Xu, Chang},
                          booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
                          pages={10968--10977},
                          year={2021}
                      }
                  

• Locally Free Weight Sharing for Network Width Search🚩 Spotlight
  
  Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
  International Conference on Learning Representations (ICLR), 2021.
  

  ICLR 2021 ArXiv Bib OpenReview

                      @inproceedings{
                          su2021locally,
                          title={Locally Free Weight Sharing for Network Width Search},
                          author={Xiu Su and Shan You and Tao Huang and Fei Wang and Chen Qian and Changshui Zhang and Chang Xu},
                          booktitle={International Conference on Learning Representations},
                          year={2021},
                          url={https://openreview.net/forum?id=S0UdquAnr9k}
                      }
                  

• GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
  
  Shan You*, Tao Huang*, Mingmin Yang*, Fei Wang, Chen Qian, Changshui Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  

  CVPR 2020 ArXiv Bib Poster Video Slides Code

                      @inproceedings{you2020greedynas,
                          title={Greedynas: Towards fast one-shot nas with greedy supernet},
                          author={You, Shan and Huang, Tao and Yang, Mingmin and Wang, Fei and Qian, Chen and Zhang, Changshui},
                          booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
                          pages={1999--2008},
                          year={2020}
                      }
                  

Talks

• Peking University: "Efficient Large Models", Jul. 2024.
• TNNLS 2024 Tutorial: "Efficient and Secure Foundation Models", Jun. 2024.
• TMLR Young Scientist Seminar@HKBU: "Knowledge Distillation from A Stronger Teacher", Jul. 2022. [Slides]
• SenseTime Titan Open Course: "Automated Machine Learning", May 2020.

Teaching

• 2024, Guest Lecturer for COMP5329 Deep Learning, The University of Sydney
• 2024, Tutor for COMP5329 Deep Learning, The University of Sydney

Academic Services

• 2024, Co-organizor, "ESGMFM '24: The 1st Workshop on Efficiency, Security, and Generalization of Multimedia Foundation Models", ACM MM 2024 Workshop
• 2024, Co-organizor, "Efficient and Secure Foundation Models", IJCNN 2024 Tutorial

Educations

• The University of Sydney, Sydney, Australia

  Jul. 2022 – Feb. 2025
  Ph.D. in Computer Science
  Advisor: Prof. Chang Xu
  
• Huazhong University of Science and Technology, Wuhan, China

  Sep. 2016 – Jun. 2020
  B.E. in Computer Science and Technology
  

Selected Experiences

• SenseTime, Beijing, China
  
  Research Intern

  Jul. 2022 - Present
  Researcher

  Jul. 2020 – Jun. 2022
  Research Intern

  Aug. 2019 – Jul. 2020
• MiniMax, Beijing, China
  Large Model Algorithm Intern

  Apr. 2024 – Oct. 2024
• Horizon Robotics, Beijing, China
  Computer Vision Research Intern

  May 2019 – Aug. 2019

Selected Awards

• NeurIPS 2023 Scholar Award

  Oct. 2023
• Outstanding Graduate award, Huazhong University of Science and Technology

  Jun. 2020
• Outstanding Graduate Thesis award, Huazhong University of Science and Technology

  Jun. 2020