Rongmei Lin

I am a Ph.D. student in Computer Science at Emory University, working with Prof. Li Xiong. Before that, I received a B.Eng in Electronic Engineering from South China University of Technology.

My research interest includes deep learning and computer vision. I am also particularly interested in invariant representation learning, such as fairness, cross-modal learning, privacy-preserving learning, etc. I am fortunate to work as a research intern at Google AI, Amazon, MERL and Samsung.

Email | Google Scholar | LinkedIn | Github

Publication

	PAM: Understanding Product Images in Cross Product Category Attribute Extraction Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong KDD 2021 arXiv
	Orthogonal Over-Parameterized Training Weiyang Liu, Rongmei Lin*, Zhen Liu, James Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller CVPR 2021 (oral)* arXiv
	Learning with Hyperspherical Uniformity Weiyang Liu, Rongmei Lin*, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller AISTATS 2021 arXiv \| code \| slides
	Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James Rehg, Li Xiong, Le Song CVPR 2020 arXiv \| code \| slides
	Learning towards Minimum Hyperspherical Energy Weiyang Liu, Rongmei Lin*, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song NeurIPS 2018 arXiv \| code \| slides
	A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU Rongmei Lin, Matthew D Stanley, Mohammad M Ghassemi, Shamim Nemati EMBC 2018 (oral) pdf \| slides
	Decoupled Networks Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James Rehg, Le Song CVPR 2018 arXiv \| code \| slides