Zhongzhan Huang (黄中展)

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Hi, I am Zhongzhan Huang (黄中展), a Final-year Computer Science PhD student at Sun Yat-sen University, advised by Prof. Liang Lin in Human-Cyber-Physical Intelligence Integration (HCP-l2) Lab. My research interests include the foundations of deep learning (e.g. network architectures, attention mechanisms, LLMs and diffusion models), and recommender system.

A funny finding : \(2^{2^2} + 2^2 + 2 = 22\)

Academic Service

Conference Reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, EMNLP, ACL, AAAI, WWW, MM
Journal Reviewer: IEEE TMM, IEEE TCSVT, IEEE TNNLS
Area Chair: BMVC

I plan to search for a full-time research/applied scientist/postdoc position. Please feel free to contact me at huangzhzh23@mail2.sysu.edu.cn!

Contact: zhongzhanhuang [at] foxmail [dot] com
Follow: Google Scholar | github

News

Jul, 2024 Cheers! ASR, accepted to ECCV’24 !
May, 2024 Cheers! AttNS, accepted to ICML’24 ! and LTH4SA, accepted to ICME’24 !
Feb, 2024 Cheers! Mirror Gradient, accepted to WWW’24 ! and CLoT, accepted to CVPR’24 !
Sep, 2023 Cheers! NeurVec, accepted to Sci. Reports ! and ScaleLong, accepted to NeurIPS’23 !
Jul, 2023 Cheers! StepNet, accepted to ICCV’23 and SUR-adapter, accepted to ACM MM’23 (Oral) !
Jan, 2023 I join Sea AI Lab as a research intern supervised by Prof. Pan Zhou and Prof. Shuicheng Yan, Enjoy it!
Oct, 2022 Cheers! CEM, accepted to EMNLP’22 !
Jan, 2022 Cheers! SANN, accepted to ICLR’22 !
Sep, 2021 Cheers! CWDA, accepted to NeurIPS’21 !
Sep, 2021 I go back to the campus and start pursuing PhD degree in SYSU! Enjoy it!

Selected Publications (click here for all)

  1. asr2.png
    ECCV’24
    ASR: Stripe Observation Guided Inference Cost-free Attention Mechanism
    Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, and Liang Lin
    In The European Conference on Computer Vision (ECCV), 2024
  2. attsolver.png
    ICML’24
    AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
    Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, and Liang Lin
    In The International Conference on Machine Learning (ICML), 2024
  3. cvpr.png
    CVPR’24
    Let’s Think Outside the Box: Exploring Leap-of-Thought in LLMs with Creative Humor Generation
    Shanshan Zhong, (co-first) Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, and Pan Zhou
    In The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  4. scale.png
    NeurIPS’23
    ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
    Zhongzhan Huang, Pan Zhou, Shuicheng Yan, and Liang Lin
    In The Conference on Neural Information Processing Systems (NeurIPS), 2023
  5. zhong2024mirror.png
    WWW’24
    Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
    Shanshan Zhong, (co-first) Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, and Liang Lin
    In International World Wide Web Conference (WWW), 2024
  6. neurvec.png
    Sci. Reports
    On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver
    Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, and Liang Lin
    In Scientific Reports (Sci. Reports), 2023
  7. zhong2023adapter.png
    ACM MM’23
    SUR-adapter: Enhancing text-to-image pre-trained diffusion models with large language models
    Shanshan Zhong, (co-first) Zhongzhan Huang, Wushao Wen, Jinghui Qin, and Liang Lin
    In 31th ACM International Conference on Multimedia (ACM MM Oral), 2023
  8. iccv23.png
    ICCV’23
    Understanding Self-attention Mechanism via Dynamical System Perspective
    Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, and Liang Lin
    In The IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  9. iclr.gif
    ICLR’22
    Stiffness-aware neural network for learning Hamiltonian systems
    Senwei Liang, Zhongzhan Huang, and Hong Zhang
    In International Conference on Learning Representations (ICLR), 2022
  10. nips.png
    NeurIPS’21
    Rethinking the Pruning Criteria for Convolutional Neural Network
    Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, and Ping Luo
    In The Conference on Neural Information Processing Systems (NeurIPS), 2021

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