J IANYANG G U(+86) 18867543859 | gu.1220@osu.edu | vimar-gu.github.io | google scholar

E DUCATION
Zhejiang University
Ph.D. in Control Science and Engineering• Supervised by Prof. Wei Jiang

Zhejiang University
B.Eng. in Control Science and Engineering

Hangzhou, China
Sep. 2019 – Jun. 2024

Hangzhou, China
Sep. 2015 – Jun. 2019

National University of Singapore

Singapore

Visiting Scholar in School of Computing• Supervised by Prof. Yang You

Sep. 2022 – Oct. 2023

E XPERIENCE
Postdoctoral Researcher in Ohio State University• Topic: imageomics.

Aug. 2024 – Now

OPPO Research Intern• Topic: generalizable object re-identification structure.

Nov. 2021 – Jun. 2022

Alibaba Research Intern• Topic: unsupervised domain adaptive person re-identification.

Jun. 2020 – Apr. 2021

Yitu Tech. CI Intern• Topic: automatic test pipeline for products.

May. 2018 – Aug. 2018

R ESEARCH I NTEREST
Data-centric Efficient Training• Reduce storage and computational data burden by synthesizing small surrogate datasets.
• Enhance the representativeness and diversity of generative diffusion techniques for data generation.
• Conduct more efficient training by selecting informative samples on both online and offline schemes.
Unsupervised Object Re-identification System (Ph.D. Project)• Construct a network architecture generalizable for incoming unseen tasks.
• Design an unsupervised domain adaptation method to improve the accuracy on new tasks.
• Incorporate continual learning techniques to reduce the catastropic forgetting on previous tasks.

P UBLICATIONS(* Equal contribution)
Data-centric Efficient Training• J. Gu, S. Vahidian, V. Kungurtsev, H. Wang, W. Jiang, Y. You, and Y. Chen. Efficient Dataset Distillation via MinimaxDiffusion. CVPR (2024).
• J. Gu, K. Wang, W. Jiang, and Y. You. Summarizing Stream Data for Memory-Restricted Online Continual Learning.
AAAI (2024).
• Y. Lu, J. Gu, X. Chen, S. Vahidian, Q. Xuan. Exploring the Impact of Dataset Bias on Dataset Distillation. Arxiv,2403.16028 (2024).
• S. Vahidian∗ , M. Wang∗ , J. Gu∗ , V. Kungurtsev, W. Jiang, and Y. Chen. Group Distributionally Robust Dataset
Distillation with Risk Minimization. Arxiv, 2402.04676 (2024).
• Z. Qin∗ , K. Wang∗ , Z. Zheng, J. Gu, X. Peng, D. Zhou, and Y. You. InfoBatch: Lossless Training Speed Up byUnbiased Dynamic Data Pruning. ICLR (2024).
• Y. Liu∗ , J. Gu∗ , K. Wang, Z. Zhu, K. Zhang, W. Jiang, and Y. You. DREAM+: Efficient Dataset Distillation by
Bidirectional Representative Matching. Arxiv, 2310.15052 (2023).

Y. Lu, X. Chen, Y. Zhang, J. Gu, T. Zhang, Y. Zhang, X. Yang, Q. Xuan, K. Wang, Y. You. Can pre-trained models
assist in dataset distillation?. Arxiv, 2310.03295 (2023).
• Y. Liu∗ , J. Gu∗ , K. Wang, Z. Zhu, W. Jiang, and Y. You. DREAM: Efficient Dataset Distillation by Representative
Matching. ICCV (2023).
• D. Zhou∗ , K. Wang∗ , J. Gu∗ , D. Lian, X. Peng, Y. Zhang, Y. You, and J. Feng. Dataset Quantization. ICCV (2023).
• K. Wang∗ , J. Gu∗ , D. Zhou, Z. Zhu, W. Jiang, and Y. You. DiM: Distilling Dataset into Generative Model. Arxiv,
2303.04707 (2023).
•Unsupervised Object Re-identification System (Ph.D. Project)• X. Pan, H. Luo, W. Chen, F. Wang, H. Li, W. Jiang, J. Zhang, J. Gu, and P. Li. Dynamic Gradient Reactivation for
Backward Compatible Person Re-identification. PR, 146, 110000 (2024).
• J. Gu, H. Luo, K. Wang, W. Jiang, Y. You, and J. Zhao. Color Prompting for Data-Free Continual Unsupervised
Domain Adaptive Person Re-Identification. Arxiv, 2308.10716 (2023).
• J. Gu, K. Wang, H. Luo, C. Chen, W. Jiang, Y. Fang, S. Zhang, Y. You, and J. Zhao. MSINet: Twins Contrastive Searchof Multi-Scale Interaction for Object ReID. CVPR (2023).
• J. Gu, W. Chen, H. Luo, F. Wang, H. Li, W. Jiang, and W. Mao. Multi-view Evolutionary Training for UnsupervisedDomain Adpative Re-identification. IEEE TIFS 17, 344-356 (2022).
• R. Wei, J. Gu, S. He, and W. Jiang. Transformer-Based Domain-Specific Representation for Unsupervised Domain
Adaptive Vehicle Re-Identification. IEEE TITS, 14 (2), 1-21 (2022).
• X. Pan, H. Luo, W. Jiang, J. Zhang, J. Gu, and P. Li. SFGN: Representing the sequence with one super frame forvideo person re-identification. KnoSys, 249, 108884 (2022).
• H. Xie, H. Luo, J. Gu, and W. Jiang. Unsupervised Domain Adaptive Person Re-Identification via Intermediate
Domains. Applied Science, 12 (14), 6990 (2022).
• J. Gu, H. Luo, W. Chen, Y. Jiang, Y. Zhang, S. He, F. Wang. H. Li, and W. Jiang. 1st Place Solution to VisDA-2020:
Bias Elimination for Domain Adaptive Pedestrian Re-identification. ArXiv, 2012.13498 (2021).
• J. Gu, W. Jiang, H. Luo, and H. Yu. An efficient global representation constrained by Angular Triplet loss for vehicle
re-identification. Pattern Anal Applic 24, 367–379 (2021).
• H. Luo, W. Chen, X. Xu, J. Gu, Y. Zhang, C. Liu, Y. Jiang, S. He, F. Wang, and H. Li. An Empirical Study of Vehicle
Re-Identification on the AI City Challenge. CVPRW 4095-4102 (2021).
• H. Luo, W. Jiang, Y. Gu, F. Liu, X. Liao, S. Lai, and J. Gu. A strong baseline and batch normalization neck for deep
person re-identification. TMM 22(10), 2597-2609 (2019).
Other Topics• W. Li∗ , S. Chen∗ , J. Gu∗ , N. Wang, C. Chen, and Y. Guo. MV-TAL: Mulit-view temporal action localization innaturalistic driving. CVPRW 3242-3248 (2022).
• H. Wu, J. Gu, X. Fan, H. Li, L. Xie, and J. Zhao. 3D-Guided Frontal Face Generation for Pose-Invariant Recognition.
ACM TIST, 14 (2), 1-21 (2022).
• S. Chen, W. Li, C. Chen, J. Gu, J. Chu, X. Tao, and Y. Guo. SEAL: A Large-scale Video Dataset of Multi-grained
Spatio-temporally Action Localization. ArXiv, 2204.02688 (2022).

A DADEMIC S ERVICE
Workshop Organization• PC Member CVPR2024 Workshop on Dataset Distillation
Conference Reviewer• CVPR, ICCV, ECCV, NeurIPS, ACMMM, ACCVJournal Reviewer• IEEE TPAMI, PR, CVIU, IEEE TCSVT, IEEE TIV

AWARDS & H ONORS• AAAI Scholarship2024• Third Place, ActivityNet Temporal Action Localization Challenge in CVPR Workshop

2022• Third Place, SoccerNet Challenge 2022 Action Spotting in CVPR Workshop

2022• First Place, AICity Challenge 2021 Track 2 in CVPR Workshop

2021• Alibaba Annual Outstanding Research Intern

2020• Second Prize, National AI Challenge 2020 Person Re-Identification Track2020• First Place, Visual Domain Adaptation Challenge 2020 in ECCV Workshop2020• Annual Merit Graduate Student2020• First Place, Robocup Montreal

2018

O THER I NFORMATION• President, Student AI Association of Zhejiang University• In my spare time, I like to take photos. Here are some of my works.

Aug. 2020 - Jun. 2021