About Me

I'm currently a final-year Ph.D. student at College of Control Science and Engineering, Zhejiang University, Hangzhou, China. I'm supervised by Prof. Wei Jiang. Previously, I received my B.Eng. degree in Zhejiang University in 2019. During Sep. 2022 - Oct. 2023, I am a visiting scholar at HPC AI Lab, National University of Singapore, under the supervision of Prof. Yang You.

I'm actively seeking postdoctoral opportunities and anticipate graduating in 2024. Please do not hesitate to contact me!

Research Interest

  • Data-centric Efficient Training
  • Unsupervised Object Re-Identification System
  • Computer Vision

Selected Publications

A full publication list is available in my google scholar page.
(* denotes equal contribution)

Data-centric Efficient Training

[arXiv] Group Distributionally Robust Dataset Distillation with Risk Minimization [PDF] [Code]

Saeed Vahidian*, Mingyu Wang*, Jianyang Gu*, Vyacheslav Kungurtsev, Wei Jiang and Yiran Chen.

  • Robust Dataset Distillation combines clustering with the minimization of a risk measure on the loss.
  • Robust Dataset Distillation substantially enhances the robustness across domain-shifted testing sets.

[CVPR 2024] Efficient Dataset Distillation via Minimax Diffusion [PDF] [Code]

Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You and Yiran Chen.

  • Minimax Diffusion only requires 1 hour to finish the distillation for a 10-class subset of full-sized ImageNet.
  • Minimax Diffusion generates representative and diverse images, yielding state-of-the-art validation performance.

[AAAI 2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning [PDF] [Code]

Jianyang Gu, Kai Wang, Wei Jiang, and Yang You.

  • SSD summarizes the informtion flow in online continual learning into informative samples.
  • SSD significantly improves the replay effects, especially for circumstances with restricted memory.

[ICCV 2023] Dataset Quantization [PDF] [Code]

Daquan Zhou*, Kai Wang*, Jianyang Gu*, Dongze Lian, Xiangyu Peng, Yifan Zhang, Yang You, and Jiashi Feng.

  • DQ targets at compressing large-scale datasets into subsets with lossless validation performance.
  • DQ only requires 60% ImageNet and 20% Alpaca's instruction tuning data to achieve lossless training.

[ICCV 2023] DREAM: Efficient Dataset Distillation by Representative Matching [PDF] [Code]

Yanqing Liu*, Jianyang Gu*, Kai Wang, Zheng Zhu, Wei Jiang, and Yang You.

  • DREAM aims to improve the training efficiency by only calculating matching metrics with representative samples.
  • DREAM only requires less than 20% of original iterations to achieve baseline performance.

[arXiv] DiM: Distilling Dataset into Generative Model [PDF] [Code]

Kai Wang*, Jianyang Gu*, Daquan Zhou, Zheng Zhu, Wei Jiang, and Yang You.

  • DiM opens up a new generative scheme for dataset distillation by condensing the information into models.
  • DiM generates diverse images on the fly, providing outstanding distillation performance with small extra training consumption.

  • [ICLR 2024] InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. [PDF] [Code]

    Ziheng Qin*, Kai Wang*, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You

Unsupervised Object Re-identification System

[arXiv] Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification [PDF] [Code]

Jianyang Gu, Hao Luo, Kai Wang, Wei Jiang, Yang You, and Jian Zhao.

  • CoP learns the color distribution conditioned on the tasks and image contents during the continual learning process.
  • CoP provides substantial improvements on anti-forgetting and generalization without storing images of previous tasks.

[CVPR 2023] MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID [PDF] [Code]

Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, and Jian Zhao.

  • MSINet searches the optimal interation between multi-scale branches with a twins contrastive mechanism.
  • MSINet yeilds better performance on both supervised and unsupervised tasks with limited parameter size.

[IEEE TIFS] Multi-View Evolutionary Training for Unsupervised Domain Adaptive Person Re-Identification [PDF]

Jianyang Gu, Weihua Chen, Hao Luo, Fan Wang, Hao Li, Wei Jiang, and Weijie Mao.

  • MET effectively reduces the clustering noise from the dimensions of snapshot quality and temporal consistency.
  • MET significantly improves the training robustness by high-quality clustering results, leading to better model performance.

  • [IEEE TITS] Transformer-Based Domain-Specific Representation for Unsupervised Domain Adaptive Vehicle Re-Identification. [PDF]

    Ran Wei, Jianyang Gu, Shuting He, and Wei Jiang

  • [Pattern Anal Applic] An efficient global representation constrained by Angular Triplet loss for vehicle re-identification. [PDF]

    Jianyang Gu, Wei Jiang, Hao Luo, and Hongyan Yu.

  • [ECCVW 2020] 1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification. [PDF] [Code]

    Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, and Wei Jiang.

Experience

  • OPPO Research Intern

    Nov. 2021 - Jun. 2022. Focused on domain generalizable person re-identification and video action recognition.

  • Alibaba Research Intern

    Jun. 2020 - Apr. 2021. Focused on unsupervised domain adaptive person re-identification. Awarded as the annual outstanding research intern in 2020.

  • Yitu Tech. CI Intern

    May. 2018 - Sept. 2018. Helped build up the continuous integration pipeline of products.

Competitions & Awards

  • ActivityNet Temporal Action Localization Challenge

    Third Place. CVPR Workshop 2022.

  • SoccerNet Challenge

    Third Place. CVPR Workshop 2022.

  • AICity Challenge

    First Place. CVPR Workshop 2021.

  • National AI Challenge

    Second Prize. 2020.

  • Visual Domain Adaptation Challenge

    First Place. ECCV Workshop 2020.

  • Robocup Montreal

    First Place. 2018.

Academic Service

  • Conference Reviewer: CVPR, ICCV, ECCV

  • Journal Reviewer: IEEE TIV

Other Information

  • President, Student AI Association of Zhejiang University, Aug. 2020 - Jun. 2021

  • Part of my photography works.

Contact Me

You are welcome to contact me via Email or WeChat (ID: ypneverland)

Written by Jianyang Gu