Yiran Yang (杨怡冉)

Unsplashed background img 1


Biography [Google Scholar]

Yiran Yang is now a Ph.D. student in School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences & Institute of Electronics (Aerospace Information Research Institute), Chinese Academy of Sciences. His research advisors is Prof. Xinming Li.

Yiran Yang's research interests include deep learning and computer vision, with a focus on remote sensing, knowledge distillation, Automatic Pilot, AIGC.

🔥 News

📝 Publications


Adaptive Knowledge Distillation for Lightweight Remote Sensing Object Detectors Optimizing
Yiran Yang, Xian Sun, Wenhui Diao, Xian Sun, Hao Li, Youming Wu, Xinming Li, Kun Fu
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS, CCF-B, IF=8.2)
[Paper]

Statistical Sample Selection and Multivariate Knowledge Mining for Lightweight Detectors in Remote Sensing Imagery
Yiran Yang, Xian Sun, Wenhui Diao, Xian Sun, Dongshuo Yin, Zhujun Yang, Xinming Li
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS, CCF-B, IF=8.2)
[Paper]

Dynamic Interactive Learning for Lightweight Detectors in Remote Sensing Imagery
Yiran Yang, Wenhui Diao, Xuee Rong, Xian Sun, Xinming Li
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS, CCF-B, IF=8.2)
[Paper]

Optimal Partition Assignment for Universal Object Detection
Yiran Yang, Xian Sun, Wenhui Diao, Xuee Rong, Shiyao Yan, Dongshuo Yin, Xinming Li
IEEE Transactions on Multimedia (IEEE TMM, CCF-B, IF=8.2)
[Paper]

Beyond the Limitation of Monocular 3D Detector via Knowledge Distillation
Yiran Yang, Dongshuo Yin, Xuee Rong, Xian Sun, Wenhui Diao, Xinming Li
Proceedings of the IEEE/CVF International Conference on Computer Vision (IEEE ICCV 2023, CCF-A, Main Track)
[Paper]

Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Task
Yiran Yang, Jinchao Zhang, Ying Deng, Jie Zhou
Technical Report
[Paper]

1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
Dongshuo Yin*, Yiran Yang*, Zhechao Wang, Hongfeng Yu, Kaiwen Wei, Xian Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2023, CCF-A, Main Track)
[Paper]

Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport
Kaiwen Wei*, Yiran Yang*, Li Jin, Xian Sun, Zequn Zhang, Jingyuan Zhang, Xiaoyu Li, Linhao Zhang, Jintao Liu, Zhi Guo
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (IEEE ACL 2023, CCF-A, Main Track)
[Paper]

Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery
Xian Sun*, Dongshuo Yin*, Fei Qin, Hongfeng Yu, Wanxuan Lu, Fanglong Yao, Qibin He, Xingliang Huang, Zhiyuan Yan, Peijin Wang, Chubo Deng, Nayu Liu, Yiran Yang, Wei Liang, Ruiping Wang, Cheng Wang, Naoto Yokoya, Ronny Hänsch, Kun Fu
Nature Communications (Nat. Comm., IF=17.694)

GAL: Graph-Induced Adaptive Learning for Weakly Supervised 3D Object Detection
Dongshuo Yin, Hongfeng Yu, Nayu Liu, Fanglong Yao, Qibin He, Jihao Li, Yiran Yang, Shiyao Yan, Xian Sun
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS, CCF-B, IF=9.6)
[Paper]

Category Correlation and Adaptive Knowledge Distillation for Compact Cloud Detection in Remote Sensing Images
Zhujun Yang, Zhiyuan Yan, Xian Sun, Wenhui Diao, Yiran Yang, Xinming Li
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS, CCF-B, IF=8.2)
[Paper]

MiCro: Modeling Cross-Image Semantic Relationship Dependencies for Class-Incremental Semantic Segmentation in Remote Sensing Images
Xuee Rong, Peijin Wang, Wenhui Diao, Yiran Yang, Wenxin Yin, Xuan Zeng , Hongqi Wang, Xian Sun
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS, CCF-B, IF=8.2)
[Paper]

A resource allocation method based on the core server in the collaborative space for mobile edge computing
Yiran Yang, Yi Wang, Ren Wang, Shiqiang Chu
2018 IEEE/CIC International Conference on Communications in China
[Paper]
🛠 Work Experience

Tencent
Wechat BG
Internship: 2023.9-2024.6

Baidu
VIS BG
Internship: 2022.12-2023.9


NIO
AD BG
Internship: 2022.6-2022.9

🎓 Education

Ph.D. Candidate from University of Chinese Academy of Sciences, Beijing, China
2019.9 - 2024.7

B.E. degree from Anhui University, Heifei, China
2015.9 - 2019.7
🎖 Awards

  •   • 2022: Ph.D. National Scholarship.
  •   • 2020: Merit Student Award.
📍 Travel Trace

He Nan
Luoyang
Time: 2020.08.20

Copyright © 2024   Yiran Yang. All Rights Reserved.