Yanglan Ou

My name is Yanglan Ou, and I am a recent Ph.D. graduate in Information Sciences and Technology from Penn State University, where I was fortunate enough to be advised by Prof. Sharon Huang. I am actively seeking new opportunities as a research scientist or engineer.
Prior to my Ph.D., I earned my M.S. in Electrical and Computer Engineering at CMU in 2018, where I worked with Dr. Christoph Mertz. I obtained my B.E. in Electrical Engineering & Automation from Donghua University in 2016.

Email | CV | Google Scholar | Github

Research

My research focuses on computer vision, and machine learning and biomedical image analysis.

	BBox-Guided Segmentor: Efficient and Accurate Stroke Lesion Segmentation with Weakly Supervised Bounding Box Prior Yanglan Ou, Xiaolei Huang, Kelvin K. Wong, Jonathon Cummock, John Volpi, James Z. Wang, Stephen T.C. Wong Computerized Medical Imaging and Graphics (CMIG), 2023 paper
	Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation Yanglan Ou, Ye Yuan, Xiaolei Huang, Stephen T.C. Wong John Volpi, James Z. Wang, Kelvin K. Wong, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022 paper \| code
	Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff Vincent Pisztora, Yanglan Ou, Xiaolei Huang, Francesca Chiaromonte, Jia Li Stat, 2022 paper
	AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani ICCV, 2021 project page \| arXiv \| code
	LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images Yanglan Ou, Ye Yuan, Xiaolei Huang, Kelvin K. Wong, John Volpi, James Z. Wang, Stephen T.C. Wong Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021 paper \| code
	Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff Vincent Pisztora, Yanglan Ou, Xiaolei Huang, Francesca Chiaromonte, Jia Li CoRR, 2021 paper
	Semi-supervised cervical dysplasia classification with learnable graph convolutional network Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang International Symposium on Biomedical Imaging (ISBI), 2020 (Oral Presentation) paper
	Aspect level sentiment classification with attention-over-attention neural networks Binxuan Huang, Yanglan Ou, Kathleen M. Carley International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, 2018 paper

Template adapted from Jon Barron.