Liangyu Chen   
陈亮宇
Hi! 👋 I am a research assistant at MMLab, Nanyang Technological University, advised by Prof.
Ziwei Liu.
My research interest 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 Prof. 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. I obtained my Bachelor’s degree in Information Engineering & Media from Nanyang
Technological University.
Email  / 
Google
Scholar  / 
Semantic
Scholar  / 
Github  / 
Linkedin
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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
NeurIPS Workshop on Human in the Loop Learning, 2022
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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
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Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Linsen Dong,
Guanyu
Gao,
Xinyi
Zhang,
Liangyu Chen,
Yonggang Wen
Tech report, 2020
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CSVAL: Benchmarking Initial Queries in Vision Active Learning, NeurIPS'22 workshop.
OpenPSG: A Dataset and Benchmark for Panoptic Scene Graph Generation (PSG), ECCV'22. [🤗 Hugging Face Demo]
Baconian: Model-based Reinforcement Learning Framework. [Demo]
Reviewer for The Visual Computer, IET Computer Vision, ICML 2022 Workshop.
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: Jan 2023      Template
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