Liangyu Chen

Liangyu Chen 陈亮宇

Hi! 👋 I am a research assistant at MMLab, Nanyang Technological University, advised by Nanyang Assistant Professor Dr. Ziwei Liu.

My research lies in generalizable and data-efficient machine learning frameworks for high-level visual recognition 👀 or reasoning 🤔. I develop data collection pipelines, representations, and models for interactive or assistive AI systems.

Previously, I worked with Bloomberg Distinguished Professor Dr. Alan Yuille and Dr. Zongwei Zhou at Johns Hopkins University, on self-supervised learning and human-in-the-loop machine learning. Before that, I also spent great time at ByteDance, Alibaba, NUS, and A*STAR Singapore.

Email / Google Scholar / Semantic Scholar / Github / Linkedin

Follow @liangyu_c

Publications

	Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan Yuille, Zongwei Zhou Tech report, 2022 arxiv / code
	Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng Tech report, 2021 arxiv / bibtex
	Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning Linsen Dong, Guanyu Gao, Xinyi Zhang, Liangyu Chen, Yonggang Wen Tech report, 2020 arxiv / code / docs / bibtex

Open Source Project Contribution

OpenPSG: Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22.

Baconian: Model-based Reinforcement Learning Framework.

Service

Reviewer for computer vision and machine learning conferences/journals.

I host virtual office hours for anyone who wants to share thoughts on CV/ML research, reading (either scientific or not), or any other topics of interest. Please schedule via my calendar.

Last update: Oct 2022 Template