Xi Ouyang 欧阳熹

Ph.D. Student @ Shanghai Jiao Tong University.

Room 304, Med-X Research Institute, SJTU,
1954 Huashan Road, Xuhui District, Shanghai, China,
200030.

Email: xi.ouyang@sjtu.edu.cn
Find me on Github, Google Scholar, Linkedin.

Biography

I am pursuing my Ph.D degree in Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Qian Wang and Prof. Dinggang Shen. My current research interests lie in medical image analysis, weakly supervised learning, explainable AI and broadly in the area of computer vision and deep learning.

Before that, I spent about 7 years in Wuhan, China and received my Master and Bachelor degree both from School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST). From Dec. 2016 to Aug. 2017, I was a research intern in Panasonic R&D Center, Singapore. During the time in Singapore, I greatly appreciated the help and supervision from Shengmei Shen.

I grew up in Jiangxi Province, China, which is a beatiful place with many mountains. My hobbies include running, hiking, mountain climbing and playing basketball. I like folk songs, and can play a little guitar (just few folk songs).

Selected Publications and Projects

Publications
	Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021. (Early Accept, Top 13% out of 1630 papers) [Paper]
	Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng, IEEE Transactions on Medical Imaging (TMI), 2020. [Paper]
	Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, and Dinggang Shen, IEEE Transactions on Medical Imaging (TMI), 2020. [Paper]
	SAANet: Siamese Action-units Attention Network for Improving Dynamic Facial Expression Recognition Daizong Liu, Xi Ouyang, Shuangjie Xu, Pan Zhou, Kun He, Shiping Wen, Neurocomputing, 2020. [Paper]
	Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. [Paper]
	Spatial Pyramid Pooling Mechanism in 3D Convolutional Network for Sentence-Level Classification Xi Ouyang, Kang Gu, Pan Zhou, IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2018. [Paper]
	Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection Yan Xu, Xi Ouyang, Yu Cheng, Shining Yu, Lin Xiong, Choon-Ching Ng, Sugiri Pranata, Shengmei Shen, Junliang Xing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on the AI City Challenge, 2018. [Paper]
	Audio-visual Emotion Recognition Using Deep Transfer Learning and Multiple Temporal Models Xi Ouyang, Shigenori Kawaai, Ester Gue Hua Goh, Shengmei Shen, Wan Ding, Huaiping Ming, Dong-Yan Huang, ACM International Conference on Multimodal Interaction (ICMI), 2017. [Paper]
	ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network Chaoyun Zhang, Xi Ouyang, Paul Patras, International Conference on emerging Networking EXperiments and Technologies (CoNext), 2017. [Paper]
Preprint
	Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond Xi Ouyang, Yu Cheng, Yifan Jiang, Chun-Liang Li, Pan Zhou, Arxiv. [Paper][Code]
Projects
	Text Detection and Recognition MXNet implemention for text detection and recognition [Code for Detection] [Code for Recognition]
	WGAN-GP for Unsupervised Anomaly Detection PyTorch implemention for unsupervised anomaly detection [Code]