👋 About Me (CV)
I received my master’s degree at LEVIR Group, Beihang University (BUAA) in January 2024, supervised by Prof. Zhenwei Shi and Prof. Zhengxia Zou. Previously, I received my bachelor’s degree from Beihang University in June 2021. Besides that, I was also a research intern at SenseTime working on content generation from May - Aug, 2023, supervised by Dr. Jianlou Si. My current research interests lie in 4D (human motion) generation, AISafety, image synthesis, and remote sensing image processing.
🔥 News
- 2024.05: One paper is accepted by TGRS (IF=8.2)!
- 2024.01: One paper is accepted by ICLR 2024 (Spotlight)!
- 2023.12: One paper is accepted by TGRS (IF=8.2)!
- 2023.10: One paper is accepted by TCSVT (IF=8.4)!
- 2023.09: One paper is accepted by TGRS (IF=8.2)!
- 2023.07: We have released Gradio Demo of our INR-Harmonization in Huggingface Space. Feel free to play around it 🎉🎉!
- 2023.06: One paper is accepted by MICCAI (STAR Award)!
- 2023.05: Honored to be invited to give talks about Diffusion Editing and Harmonization for OPPO Research Institute!
- 2023.05: One paper is accepted by TGRS (IF=8.2)!
- 2023.02: 1/2 papers are accepted by CVPR 2023, and one paper is accepted by CBM (IF=7.7)!
- 2022.12: One paper is accepted by GRSL (IF=4.8)!
- 2022.07: One paper is accepted by TGRS (IF=8.2)!
- 2022.06: One paper is accepted by TGRS (IF=8.2)!
- 2022.05: Achieve the 5th place in Track I: Classification Task Defense and the 6th place in Track II: Open Set Defense, CVPR 2022 Robust Models towards Open-world Classification 🎉🎉!
📝 Publications
Digital-to-Physical Visual Consistency Optimization for Adversarial Patch Generation in Remote Sensing Scenes
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Jianqi Chen, Yilan Zhang, Chenyang Liu, Keyan Chen, Zhengxia Zou, Zhenwei Shi
[PDF] [Code]
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
ICLR, 2024 (Spotlight)
Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen
[PDF] [Code]
Generating Imperceptible and Cross-Resolution Remote Sensing Adversarial Examples Based on Implicit Neural Representations
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Yu Zhang, Jianqi Chen, Liqin Liu, Keyan Chen, Zhenwei Shi, Zhengxia Zou
[PDF]
Zero-Shot Image Harmonization with Generative Model Prior
Arxiv, 2023
Jianqi Chen, Zhengxia Zou, Yilan Zhang, Keyan Chen, and Zhenwei Shi
[PDF] [Code] [Video]
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
MICCAI, 2023 (STAR Award)
Yilan Zhang, Jianqi Chen, Ke Wang, and Fengying Xie
[PDF] [Code]
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Arxiv, 2023
Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]
A Decoupling Paradigm with Prompt Learning for Remote Sensing Image Change Captioning
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Chenyang Liu, Rui Zhao, Jianqi Chen, Zipeng Qi, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, Xiaolong Jiang, Zhengxia Zou, and Zhenwei Shi
[PDF] [Project] [Code]
Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, and Zhenwei Shi
[PDF] [Code] [Demo]
TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Computers in Biology and Medicine (CBM), 2023
Yilan Zhang, Fengying Xie, and Jianqi Chen
[PDF] [Code]
OvarNet: Towards Open-vocabulary Object Attribute Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Keyan Chen, Xiaolong Jiang, Yao Hu, Xu Tang, Yan Gao, Jianqi Chen, and Weidi Xie
[PDF] [Project] [Code]
Resolution-agnostic Remote Sensing Scene Classification with Implicit Neural Representations
IEEE Geoscience and Remote Sensing Letters (GRSL), 2022
Keyan Chen, Wenyuan Li, Jianqi Chen, Zhengxia Zou, and Zhenwei Shi
[PDF] [Project] [Code]
Contrastive Learning for Fine-grained Ship Classification in Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Jianqi Chen, Keyan Chen, Hao Chen, Wenyuan Li, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]
A Degraded Reconstruction Enhancement-based Method for Tiny Ship Detection in Remote Sensing Images with A New Large-scale Dataset
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Jianqi Chen, Keyan Chen, Hao Chen, Zhengxia Zou, and Zhenwei Shi
[PDF] [Dataset] [Code]
🏆 Honors and Awards
- 2024.01 Outstanding Graduates of Beijing Municipality (Top 1%)
- 2023.06 “Postgraduate Excellent Academic Innovation Achievement Award” of Beihang University
- 2022.12 “Excellent graduate student” of Beihang University (Top 5%)
- 2022.09 National Scholarship, Ministry of Education of China (Top 1%)
- 2021.09 “Graduate Entrance Scholarship” of Beihang University (Top 3%)
- 2021.06 “Outstanding Graduates” of Beihang University
- 2020.12 First Prize of “Innovation and Entrepreneurship Scholarship”
- 2020.12 Special Prize of “Outstanding Academic Performance”, Beihang University (Top 3%)
- 2020.11 First Prize of “Lee Kum Kee Astronautics Scholarship”, Beihang University (Top 1%)
- 2020.09 Second Prize in China College Students’ “Internet+” Innovation and Entrepreneurship Competition
- 2019.12 Second Prize of “AVIC Scholarship”, Beihang University (Top 2%)
- 2019.12 First Prize of “Outstanding Academic Performance”, Beihang University
📖 Educations
- 2021.09 - 2024.01, M.S. in Pattern Recognition and Intelligent System, Beihang University, China.
- 2017.09 - 2021.06, B.S. in Image Processing, Beihang University, China.