Siteng Huang (黄思腾)

Siteng Huang (黄思腾)

Algorithm Expert in Alibaba DAMO Academy

Hi!👋 I am Siteng Huang (黄思腾 in Chinese). I work at DAMO Academy as an Algorithm Expert in Hangzhou.

Currently, My research has centered on multi-modal large models, especially vision-language models (VLMs) for understanding and generation. I have published 20+ papers Google Scholar at the top international AI conferences. 🌟If you are seeking any form of academic cooperation, please feel free to email me at siteng.huang[AT]gmail.com (replace [AT] with @).

I received my Ph.D. degree from Zhejiang University in June 2024, affiliated with a joint program with Westlake University at Machine Intelligence Laboratory (MiLAB) and advised by Prof. Donglin Wang. Before that, I received my B.Eng. Degree from School of Computer Science, Wuhan University in June 2019.

📢 News

  • 2024/09/09 [New Start] Joined Alibaba DAMO Academy as an Algorithm Expert!
  • 2024/07/16 [MM’24] One paper (ProFD) got accepted for ACM MM 2024.
  • 2024/07/09 [Scholar’24] 2024 Scholar Metrics was released by Google Scholar. Our paper “DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting” ranked 7th of the CIKM 2019 conference according to the citations, and 13th within five years.
  • 2024/07/01 [ECCV’24] Two papers (PiTe and QUAR-VLA) got accepted for ECCV 2024. 2024/08/12 PiTe got accepted as an Oral paper!
  • 2024/06/04 [Graduation] I successfully defended my dissertation. So many thanks to my Ph.D. committee (Prof. Xiaogang Jin, Prof. Mai Xu, Prof. Changxin Gao, Prof. Fajie Yuan, Prof. Peidong Liu, Prof. Xiaofei Li) and my advisor!
  • 2024/03/29 [VALSE’24] Troika got accepted as VALSE 2024 Poster! 2024/05/05 Our Cobra was selected for VALSE 2024 Annual Progress Representation. Thanks to all the committee for the approval!
  • 2024/03/21 [Preprint] Cobra, an efficient multi-modal large language model, was released. Project page has been available. The paper has been featured by Hugging Face Daily Papers! Demo has been available!
  • 2024/03/13 [ICME’24] One paper (DARA) about parameter-efficient tuning for visual grounding got accepted for ICME 2024 (Oral).
  • 2024/02/27 [Award] Awarded as Zhejiang University 2024 Outstanding Graduates!
  • 2024/02/27 [CVPR’24] Three papers (ADI, Troika, SimM) as first/co-first author got accepted for CVPR 2024. Congratulations to all collaborators!
  • 2023/12/13 [ICASSP’24] One paper (VGDiffZero) on diffusion model-based zero-shot visual grounding got accepted for ICASSP 2024. Congratulations to all collaborators!
  • 2023/12/09 [AAAI’24] One paper on VLM-based unsupervised domain adaptation got accepted for AAAI 2024.
  • 2023/04/02 [ICMR’23] One paper (RL-CZSL) about reference-limited compositional learning got accepted for ICMR 2023. Congratulations to all collaborators!
  • 2023/02/28 [CVPR’23] One paper (VoP) about parameter-efficient text-video retrieval got accepted for CVPR 2023. Congratulations to all collaborators!

📝 Publications

†: Equal contribution

Peer-reviewed Conference

Can Cui†, Siteng Huang†, Wenxuan Song, Pengxiang Ding, Zhang Min, Donglin Wang, "ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification". In Proceedings of the ACM Multimedia 2024. [arXiv] [github]

(Oral) Yang Liu†, Pengxiang Ding†, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang, "PiTe: Pixel-Temporal Alignment for Large Video-Language Model". In Proceedings of the European Conference on Computer Vision 2024. [arXiv] [github] [dataset]

Pengxiang Ding, Han Zhao, Wenxuan Song, Wenjie Zhang, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang, "QUAR-VLA: Vision-Language-Action Model for Quadruped Robots". In Proceedings of the European Conference on Computer Vision 2024. [arXiv]

(Oral) Ting Liu†, Xuyang Liu†, Siteng Huang, Honggang Chen, Quanjun Yin, Long Qin, Donglin Wang, Yue Hu, "DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding". In Proceedings of the IEEE Conference on Multimedia Expo 2024. [arXiv] [github]

Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang, "Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. [arXiv] [dataset] [project page] [poster (CVPR 2024)]

Biao Gong†, Siteng Huang†, Yutong Feng, Shiwei Zhang, Yuyuan Li, Yu Liu, "Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. [arXiv] [project page] [poster (CVPR 2024)]

Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang, "Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. [arXiv] [project page] [github] [poster (CVPR 2024)] [poster (VALSE 2024)]

Xuyang Liu†, Siteng Huang†, Yachen Kang, Honggang Chen, Donglin Wang, "VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders". In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing. [arXiv] [code] [poster]

Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen, "Prompt-based Distribution Alignment for Unsupervised Domain Adaptation". In Proceedings of the 38th AAAI Conference on Artificial Intelligence. [arXiv]

Siteng Huang, Biao Gong, Yulin Pan, Jianwen Jiang, Yiliang Lv, Yuyuan Li, Donglin Wang, "VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023. [project page] [arXiv] [open access] [video (Youtube)] [github] [ModelScope] [poster] [slide]

Siteng Huang, Qiyao Wei, Donglin Wang, "Reference-Limited Compositional Zero-Shot Learning". In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval. [project page] [arXiv] [video (Google Drive)] [github] [slide]

Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang, "Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation". In Proceedings of the European Conference on Computer Vision 2022. [arXiv] [Chinese intro] [github]

Min Zhang, Siteng Huang, Donglin Wang, "Domain Generalized Few-shot Image Classification via Meta Regularization Network". In Proceedings of the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing. [pdf] [github]

Zifeng Zhuang, Xintao Xiang, Siteng Huang, Donglin Wang, "HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network". In Proceedings of the 2021 ACM International Conference on Multimedia Retrieval. [pdf]

Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang, "Pareto Self-Supervised Training for Few-Shot Learning". In Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. [arXiv] [open access]

Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang, "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition". In Proceedings of the 35th AAAI Conference on Artificial Intelligence. [project page] [arXiv] [code] [poster] [slide]

Siteng Huang, Donglin Wang, Xuehan Wu, Ao Tang, "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting". In Proceedings of the 28th ACM International Conference on Information and Knowledge Management. [project page] [pdf] [code] [poster] [slide]

Preprints & Under Submission

Chang Zou†, Xuyang Liu†, Ting Liu, Siteng Huang, Linfeng Zhang, "Accelerating Diffusion Transformers with Token-wise Feature Caching". arXiv preprint arXiv:2410.05317. [pdf] [github]

Fengyuan Dai, Siteng Huang, Min Zhang, Biao Gong, Donglin Wang, "Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning". arXiv preprint arXiv:2408.17083. [pdf]

Xuyang Liu†, Ting Liu†, Siteng Huang, Yue Hu, Quanjun Yin, Donglin Wang, Honggang Chen, "M2IST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension". arXiv preprint arXiv:2407.01131. [pdf]

Ting Liu†, Xuyang Liu†, Siteng Huang, Liangtao Shi, Zunnan Xu, Yi Xin, Quanjun Yin, Xiaohong Liu, "Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference". arXiv preprint arXiv:2405.14700. [pdf] [github]

Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang, "Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference". arXiv preprint arXiv:2403.14520. [pdf] [project page] [Chinese intro (Zhihu)] [github] [demo] [video (Youtube)] [机器之心] [Twitter@AK]

💻 Internship Experience

💼 Services

Conference Reviewer

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • IEEE International Conference on Multimedia and Expo (ICME)
  • ACM International Conference on Multimedia Retrieval (ICMR)
  • Asian Conference on Computer Vision (ACCV)
  • International Conference on Pattern Recognition (ICPR)

Journal Reviewer

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • ACM Transactions on Intelligent Systems and Technology (ACM TIST)
  • Journal of Visual Communication and Image Representation (JVCI)
  • Concurrency and Computation: Practice and Experience (CPE)

Program Committee for Conferences and Workshops

  • Session Chair, The First Westlake Robot Learning Symposium

😉 Misc

Welcome to follow my Zhihu and XiaoHongShu.