About Me
I am currently a postdoctoral researcher at the Dept. of Computer Science and Engineering, The Ohio State University. I'm fortunate to work with Wei-Lun Chao, Yu Su and Tanya Berger-Wolf. I obtained my Ph.D. in 2024 from College of Control Science and Engineering, Zhejiang University, Hangzhou, China. I was supervised by Wei Jiang. Previously, I received my B.Eng. in Zhejiang University in 2019. During Sep. 2022 - Oct. 2023, I was a visiting scholar at HPC AI Lab, National University of Singapore, under the supervision of Yang You.
Research Interest
- Interpretable and Explainable AI for Science
- Data-centric Machine Learning
- Computer Vision
News
- [Mar 2026] Invited to serve as a panelist at NAIRR Annual Meeting.
- [Feb 2026] Two papers accepted to CVPR 2026.
- [Feb 2026] Talk at Imageomics seminar about BioCLIP 2 and BioCAP.
- [Jan 2026] One paper accepted to ICLR 2026.
Selected Publications
A full publication list is available in my google scholar page.
(* denotes equal contribution)
BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models
Integrate instance-level synthetic captions in multimodal alignment and demonstrate rich understanding of biological semantics.
Ziheng Zhang, Xinyue Ma, Arpita Chowdhury, Elizabeth G Campolongo, Matthew J Thompson, Net Zhang, Samuel Stevens, Hilmar Lapp, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao, and Jianyang Gu.
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
Extend species classification training to emergent properties of inter-species ecological alignment and intra-species variation separation.
Jianyang Gu, Samuel Stevens, Elizabeth G Campolongo, Matthew J Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E White, James Balhoff, Wasila Dahdul, Daniel Rubenstein, Hilmar Lapp, Tanya Berger-Wolf, Wei-Lun Chao, and Yu Su.
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
Compare the target class with similar classes for more fine-grained and discriminative explanation.
Ziheng Zhang*, Jianyang Gu*, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Berger-Wolf, Yu Su, and Wei-Lun Chao.
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis.
Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G Campolongo, Daniel Rubenstein, Charles V Stewart, Anuj Karpatne, Tanya Berger-Wolf, Yu Su, and Wei-Lun Chao.
HierAmp: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation
Enhance the attention over object-related hierarchical semantics in the vision autoregressive model.
Lin Zhao*, Xinru Jiang*, Xi Xiao, Qihui Fan, Lei Lu, Yanzhi Wang, Xue Lin, Octavia Camps, Pu Zhao, and Jianyang Gu.
Efficient Dataset Distillation via Minimax Diffusion
Efficiently distill ImageNet and generate representative and diverse images, yielding state-of-the-art validation performance.
Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You and Yiran Chen.
Summarizing Stream Data for Memory-Restricted Online Continual Learning
Summarize the information flow in online continual learning into informative samples and significantly improve the replay effects under tight memory.
Jianyang Gu, Kai Wang, Wei Jiang, and Yang You.
CONCORD: Concept-Informed Diffusion for Dataset Distillation.
Jianyang Gu, Haonan Wang, Ruoxi Jia, Saeed Vahidian, Vyacheslav Kungurtsev, Wei Jiang, and Yiran Chen.
DREAM: Efficient Dataset Distillation by Representative Matching.
Yanqing Liu*, Jianyang Gu*, Kai Wang, Zheng Zhu, Wei Jiang, and Yang You.
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning.
Ziheng Qin*, Kai Wang*, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, and Yang You.
AVION: Aerial Vision–Language Instruction from Offline Teacher to Prompt-Tuned Network
A knowledge distillation framework tailored for remote sensing adaptation of vision-language models with minimal additional trainable parameters.
Yu Hu*, Jianyang Gu*, Hao Liu, Yue Cao, Jozsef Hamari, Zheng Liu, and Mohsen Zardadi.
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
Search the optimal interaction between multi-scale branches and yield better supervised and unsupervised performance with limited parameter size.
Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, and Jian Zhao.
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation.
Zhenyang Feng, Zihe Wang, Jianyang Gu, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Berger-Wolf, Yu Su, and Wei-Lun Chao.
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification.
Jianyang Gu, Hao Luo, Kai Wang, Wei Jiang, Yang You, and Jian Zhao.
An efficient global representation constrained by Angular Triplet loss for vehicle re-identification.
Jianyang Gu, Wei Jiang, Hao Luo, and Hongyan Yu.
Experience
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OPPO Research Intern
Nov. 2021 - Jun. 2022. Focused on domain generalizable person re-identification and video action recognition.
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Alibaba Research Intern
Jun. 2020 - Apr. 2021. Focused on unsupervised domain adaptive person re-identification. Awarded as the annual outstanding research intern in 2020.
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Yitu Tech. CI Intern
May. 2018 - Sept. 2018. Helped build up the continuous integration pipeline of products.
Competitions & Awards
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NeurIPS Scholar Award
2025.
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OSU CSE Research Staff Award
2025.
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AAAI Scholarship
2024.
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ActivityNet Temporal Action Localization Challenge
Third Place. CVPR Workshop 2022.
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SoccerNet Challenge
Third Place. CVPR Workshop 2022.
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AICity Challenge
First Place. CVPR Workshop 2021.
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National AI Challenge
Second Prize. 2020.
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Visual Domain Adaptation Challenge
First Place. ECCV Workshop 2020.
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Robocup Montreal
First Place. 2018.
Academic Service
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Workshop Organization
Lead organizer. Third Workshop on Imageomics @ NeurIPS2025
Co-organizer. Second Workshop on Imageomics @ AAAI2025
Co-organizer. Anomaly Detection in Scientific Domains Workshop @ AAAI2025
PC Member. First Workshop on Dataset Distillation @ CVPR2024
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Conference Area Chair
ICLR 2026
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Conference Reviewer
CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, KDD, ACMMM, WACV, ACCV
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Journal Reviewer
PNAS, IEEE TPAMI, PR, CVIU, IEEE TCSVT, NEUNET, MVA
Other Information
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President, Student AI Association of Zhejiang University, Aug. 2020 - Jun. 2021
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Part of my photography works.
Contact Me
You are welcome to contact me via Email.