Xin Li

Senior Scientist, AIQ

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Biography

He received the PhD degree in computer applied technology from University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2018. He worked as a research scholar in the department of computer science, University of North Carolina and also in the department of Radiology and BRIC, University of North Carolina at chapel hill from 2018 to 2019. He was a research associate in IIAI. Now, He is a senior data scientist with AIQ (ADNOC-G42 joint venture). His research interests are in computer vision with the focus on dense correspondence, object detection/segmentation, and medical image analysis.

Research Interests

Image Segmentation
3D Vision
Medical Image Analysis
Machine learning

Eudcation

PhD. student (September 2012--June 2018)
School of Computer Science and Engineering,
University of Electronic Science and Technology of China, Chengdu, China.
Advisor: Professor Hong Cheng & Professor Leiting Chen.
M.S. student (September 2010--June 2012)
School of Computer Science and Engineering,
University of Electronic Science and Technology of China, Chengdu, China.
Advisor: Professor Leiting Chen.
B.S. student (September 2006--June 2010)
School of Computer Science,
University of Electronic Science and Technology of China, Chengdu, China.
Major: Computer Science.

Research Experience

Senior Scientist (March 2020--Now)
AIO, Abu Dhabi, UAE.
Research Associate (March 2019--March 2020)
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE.
Post Doctoral (August 2018--March 2019)
IDEA Research Lab in the Department of Radiology, University of North Carolina at Chapel Hill, NC, USA.

Selected Publication

An asterisk (*) beside authors' names indicates equal contribution.

	Learning Optical Flow with Kernel Patch Attention Ao Luo, Fan Yang, Xin Li and Shuaicheng Liu. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF]
	Learning Optical Flow with Adaptive Graph Reasoning Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan and Shuaicheng Liu. In Proceedings of 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. [PDF]
	Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng and Deng-Ping Fan. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [PDF] [Github]
	Mutual Graph Learning for Camouflaged Object Detection Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng and Deng-Ping Fan. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF] [arXiv][Github]
	Probabilistic Model Distillation for Semantic Correspondence Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF] [Github]
	Robust Scene Parsing by Mining Supportive Knowledge from Dataset Ao Luo, Fan Yang, Xin Li, Yuezun Li, Zhicheng Jiao, Hong Cheng and Siwei Lyu. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [PDF]
	Exploring Graph-Structured Semantics for Cross-Modal Retrieval Lei Zhang, Leiting Chen, Chuan Zhou, Fan Yang and Xin Li. ACM International Conference on Multimedia (ACM MM), 2021. [PDF]
	Reconstructing perceived images from brain activity by visually-guided cognitive representation and adversarial learning Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao. NeuroImage, 2021. [PDF] [arXiv]
	Cascade graph neural networks for rgb-d salient object detection Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng and Siwei Lyu. European Conference on Computer Vision (ECCV), 2020. [PDF] [arXiv]
	Hybrid Graph Neural Networks for Crowd Counting Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou and Hong Cheng. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020. [PDF] [arXiv]
	Decoding EEG by Visual-guided Deep Neural Networks Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang and Dinggang Shen. International Joint Conference on Artificial Intelligence (IJCAI), 2019. [PDF]
	Contour Knowledge Transfer for Salient Object Detection Xin Li, Fan Yang, Hong Cheng, Wei Liu and Dinggang Shen. Proceedings of the European Conference on Computer Vision (ECCV), 2018. [PDF] [Github]
	Multi-Scale Bidirectional FCN for Object Skeleton Extraction Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen and Jianping Li. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2018. [PDF] [Github]
	Multi-Scale Cascade Network for Salient Object Detection Xin Li, Fan Yang, Hong Cheng, Junyu Chen, Yuxiao Guo and Leiting Chen. Proceedings of the ACM International Conference on Multimedia (ACM MM), 2017. [PDF] [Github]
	Object-aware Dense Semantic Correspondence Fan Yang, Xin Li, Hong Cheng, Jianping Li and Leiting Chen. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]
	Saliency Transfer: An Example-Based Method for Salient Object Detection Xin Li, Fan Yang, Leiting Chen and Hongbin Cai. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2016. [PDF]