Xue Yang (杨学)
Researcher at OpenGVLab, Shanghai AI Laboratory
Ph.D. at ThinkLab, Shanghai Jiao Tong University
Address: 701 Yunjin Road, Xuhui District, Shanghai, China
Email: yangxue0827@126.com, yangxue@pjlab.org.cn

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🇨🇳 Biography

Xue Yang is now a Researcher at OpenGVLab, Shanghai AI Laboratory, collaborated with Prof. Jifeng Dai and Dr. Xizhou Zhu. Xue Yang's research interests include Deep Learning and Computer Vision, with a focus on Generic/Oriented Object Detection/Instance Segmentation, AI Agent, Vision-Language Models.

Xue Yang received the B. E. degree from School of Information Science and Engineering, Central South University, Hunan, China, in 2016. He received the M. S. degree from School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China, in 2019. Xue Yang obtained the Ph.D. degree from Wu Honor Class (吴文俊人工智能博士班), Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2023. His research advisor is Prof. Junchi Yan.

Xue Yang has published about 50 papers at the top-tier international CV/ML/AI conferences and journals, such as TPAMI, IJCV, CVPR, ECCV, ICCV, ICML, NeurIPS, ICLR, AAAI and ACM MM. He is also the leading contributor to the MMRotate , AlphaRotate and JDet open-source projects for oriented object detection, and with 8000+ stars in Github. Xue Yang won SJTU Outstanding Doctoral Dissertation (2023), CCF Outstanding Doctoral Dissertation Award (2023), CCF-CV Academic Emerging Scholar (2022), Shanghai Outstanding Graduates (2023), Doctoral National Scholarship (2021/2022), SJTU Scholar Star Nomination Award (2021), and also selected into the World's Top 2% Scientists List (2023-2024).

我将于 2025 年春季加入上海交通大学 ReThinkLab 担任助理教授。
我正在寻找自驱力较强的学生（硕士 2025 年春季和秋季，博士 2026 年春季和秋季）、实习生/访问学者，与严骏驰教授共同指导，目标是在计算机视觉、多模态模型、遥感图像解译等课题上做出有影响力的工作。请随时通过电子邮件与我联系。
I will be joining the ReThinkLab, Shanghai Jiao Tong University as an Assistant Professor in the spring of 2025.
Looking for self-motivated students (Master 2025 spring & fall, Ph.D. 2026 spring & fall), interns/visitors to join us, co-supervised by Prof. Junchi Yan, with the goal of doing impactful work on the topic of Computer Vision, Vision-Language Models, Remote Sensing (AI4RS), etc. Please do not hesitate to contact me via email.

🔥 News
📝 Recent Works [Full List]
( * indicates equal contribution, † indicates corresponding author, # indicates project lead)

Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation
Yan Li, Weiwei Guo†, Xue Yang, Ning Liao, Shaofeng Zhang, Yi Yu, Wenxian Yu, Junchi Yan
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
Gen Luo*, Xue Yang*, Wenhan Dou*, Zhaokai Wang*, Jifeng Dai, Yu Qiao, Xizhou Zhu†
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
Botao Ren*, Xue Yang*, Yi Yu*, Junwei Luo, Zhidong Deng†
Towards Vision-Language Geo-Foundation Model: A Survey
Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang
STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery
Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan
Parameter-Inverted Image Pyramid Networks
Xizhou Zhu*, Xue Yang*, Zhaokai Wang*, Hao Li, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai†
Advances in Neural Information Processing Systems (NeurIPS, CCF-A), Vancouver, Canada, Spotlight, 2024
📝 LLMs and AI Agent [Full List]
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
Hao Li*, Xue Yang*, Zhaokai Wang*, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai†
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR, CCF-A), Seattle WA, USA, 2024
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
Zhaoyang Liu*, Yinan He*, Wenhai Wang*, Weiyun Wang*, Yi Wang*, Shoufa Chen*, Qinglong Zhang*, Yang Yang, Qingyun Li, Jiashuo Yu, Kunchang Li, Zhe Chen, Xue Yang, Xizhou Zhu, Yali Wang, Limin Wang, Ping Luo, Jifeng Dai, Yu Qiao
📝 PEFT
FLoRA: Low-Rank Core Space for N-dimension
Chongjie Si*, Xuehui Wang*, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen†
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Dongshuo Yin*, Leiyi Hu*, Bin Li, Youqun Zhang, Xue Yang†
📝 Oriented Object Detection [Full List]
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
Yi Yu*, Xue Yang*, Qingyun Li, Feipeng Da†, Jifeng Dai, Yu Qiao, Junchi Yan†
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR, CCF-A), Seattle WA, USA, 2024
AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan†
In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), Seoul, Korea, 2024
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
Yi Yu*, Xue Yang*, Qingyun Li, Yue Zhou, Gefan Zhang, Feipeng Da†, Junchi Yan†
Advances in Neural Information Processing Systems (NeurIPS, CCF-A), New Orleans, Louisiana, USA, 2023
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Xue Yang, Gefan Zhang, Wentng Li, Xuehui Wang, Yue Zhou, Junchi Yan†
In International Conference on Learning Representations (ICLR, Tsinghua-A), Kigali, Rwanda, 2023
The KFIoU Loss for Rotated Object Detection
Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan†, Xiaopeng Zhang, Qi Tian
In International Conference on Learning Representations (ICLR, Tsinghua-A), Kigali, Rwanda, 2023
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization
Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan†
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CCF-A), 2022
ESI Highly Cited Paper
MMRotate: A Rotated Object Detection Benchmark using PyTorch
Yue Zhou*, Xue Yang*, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang†, Xingzhao Liu, Junchi Yan†, Chengqi Lyu, Wenwei Zhang, Kai Chen
In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM, CCF-A), Lisboa, Portugal, Open Source Software Competition, Oral, 2022
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Xue Yang, Junchi Yan†, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CCF-A), 2022
ESI Hot Cited Paper, ESI Highly Cited Paper
On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited
Xue Yang, Junchi Yan†
International Journal of Computer Vision (IJCV, CCF-A), 2022
ESI Highly Cited Paper
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan†
Advances in Neural Information Processing Systems (NeurIPS, CCF-A), Virtual, 2021
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan†, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
In International Conference on Machine Learning (ICML, CCF-A), Virtual, 2021
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan†
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR, CCF-A), Virtual, 2021
Learning Modulated Loss for Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng†, Junchi Yan, Yue Guo
In Proceedings of the Thirty-Five AAAI Conference on Artificial Intelligence (AAAI, CCF-A), Vancouver, Canada (Virtual), 2021
Most Influential AAAI'21 Paper, Top 10
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan†, Ziming Feng, Tao He
In Proceedings of the Thirty-Five AAAI Conference on Artificial Intelligence (AAAI, CCF-A), Vancouver, Canada (Virtual), 2021
Most Influential AAAI'21 Paper, Top 1
Arbitrary-Oriented Object Detection with Circular Smooth Label
Xue Yang, Junchi Yan†
In Proceedings of the European Conference on Computer Vision (ECCV, CCF-B, Tsinghua-A), Glasgow, Scotland, UK (Virtual), 2020
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang, Jirui Yang, Junchi Yan†, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian, Kun Fu
In Proceedings of the IEEE International Conference on Computer Vision (ICCV, CCF-A), Seoul, Korea, 2019
Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
Xue Yang, Hao Sun, Kun Fu†, Jirui Yang, Xian Sun, Menglong Yan, Zhi Guo
In Remote Sensing, 2018
ESI Highly Cited Paper
📝 Object Detection, Instance Segmentation and Beyond [Full List]
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Jiaqing Zhang, Mingxiang Cao, Jie Lei, Weiying Xie†, Daixun Li, Wenbo Huang, Yunsong Li, Xue Yang†
Advances in Neural Information Processing Systems (NeurIPS, CCF-A), Vancouver, Canada, Oral, 2024
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
Zhechao Wang, Peirui Cheng, Mingxin Chen, Pengju Tian, Zhirui Wang†, Xinming Li, Xue Yang, Xian Sun
Advances in Neural Information Processing Systems (NeurIPS, CCF-A), Vancouver, Canada, 2024
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
Yan Li, Weiwei Guo†, Xue Yang, Ning Liao, Dunyun He, Jiaqi Zhou, Wenxian Yu†
In Proceedings of the European Conference on Computer Vision (ECCV, CCF-B, Tsinghua-A), MiCo Milano, Italy, 2024
PatchDCT: Patch Refinement for High Quality Instance Segmentation
Qinrou Wen, Jirui Yang, Xue Yang, Kewei Liang†
In International Conference on Learning Representations (ICLR, Tsinghua-A), Kigali, Rwanda, 2023
📝 Scene Text Detection and Recognition [Full List]
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors
Tongkun Guan, Wei Shen†, Xue Yang, Xuehui Wang, Xiaokang Yang
In Proceedings of the European Conference on Computer Vision (ECCV, CCF-B, Tsinghua-A), MiCo Milano, Italy, 2024
Self-supervised Character-to-Character Distillation for Text Recognition
Tongkun Guan, Wei Shen†, Xue Yang, Qi Feng, Zekun Jiang, Xiaokang Yang
In Proceedings of the IEEE International Conference on Computer Vision (ICCV, CCF-A), Paris, France, 2023
Self-supervised Implicit Glyph Attention for Text Recognition
Tongkun Guan, Chaochen Gu†, Jingzheng Tu, Xue Yang, Qi Feng, Yudi Zhao, Wei Shen†
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR, CCF-A), Vancouver, Canada, 2023
📝 Low-Level Vision [Full List]
Dual-path Image Inpainting with Auxiliary GAN Inversion
Wentao Wang, Li Niu†, Jianfu Zhang, Xue Yang, Liqing Zhang†
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR, CCF-A), New Orleans, Louisiana, USA, 2022
Parallel Multi-Resolution Fusion Network for Image Inpainting
Wentao Wang, Jianfu Zhang, Li Niu†, Haoyu Ling, Xue Yang, Liqing Zhang†
In Proceedings of the IEEE International Conference on Computer Vision (ICCV, CCF-A), Virtual, 2021
LEARN MORE>>
📚 Academic Activities
Conference Area Chair/Reviewer
  •   • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Reviewer: 2021-2025
  •   • IEEE/CVF International Conference on Computer Vision (ICCV). Reviewer: 2023
  •   • European Conference on Computer Vision (ECCV). Reviewer: 2022/2024
  •   • Asian Conference on Computer Vision (ACCV). Reviewer: 2024
  •   • Neural Information Processing Systems (NeurIPS). Reviewer: 2022-2024
  •   • International Conference on Machine Learning (ICML). Reviewer: 2022-2024
  •   • International Conference on Learning Representations (ICLR). AC: 2025; Reviewer: 2024
  •   • AAAI Conference on Artificial Intelligence (AAAI). Reviewer: 2022-2025
  •   • ACM International Conference on Multimedia (ACM MM). Reviewer: 2021-2024
Journal Reviewer
  •   • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  •   • International Journal of Computer Vision (IJCV)
  •   • IEEE Transactions on Image Processing (TIP)
  •   • Pattern Recognition (PR)
  •   • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  •   • IEEE Transactions on Multimedia (TMM)
  •   • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  •   • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  •   • IEEE Geoscience and Remote Sensing Letters (GRSL)
  •   • IEEE Transactions on Intelligent Transportation Systems (TITS)
  •   • IEEE Transactions on Multimedia Computing Communications and Applications (TOMM)
  •   • Remote Sensing
Tech. Talks
🎓 Education

B.E. degree from School of Information Science and Engineering, Central South University, Hunan, China
Sep. 2012 - July 2016

M.S. degree from School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
Sep. 2016 - July 2019

Ph.D. in CV, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Sep. 2019 - July 2023
🧑🏻‍💻 Internship and Cooperation
                       
🎖 Awards
💻 Demos


👬 People
Close Collaborators
  • Yue Zhou (PostDoc., NTU), Yi Yu (PostDoc., SEU), Gefan Zhang (Master, SJTU), Wentao Wang (PostDoc., PJLAB), Jirui Yang (Master, UCAS), Qi Ming (Ph.D., BIT), Wentong Li (Ph.D., ZJU), Jiaqing Zhang (Ph.D., Xidian)
  • Xuehui Wang (Ph.D., SJTU), Qingyun Li (Ph.D., HIT), Tongkun Guan (Ph.D., SJTU), Junwei Luo (Master, WHU), Zhaokai Wang (Ph.D., SJTU & PJLAB), Botao Ren (Ph.D., Tsinghua)
    • Students
  • Yuan Liu (Undergraduate, SJTU, 2021-), Peiyuan Zhang (Undergraduate, WHU, 2022-)
  • Yifan Zhou (Master, SJTU, 2024-), Wei Zhang (Master, SJTU, 2024-), Mingxin Liu (Master, SJTU, 2024-)
  • Qipeng Liu (Ph.D. SJTU, 2024-)