Junbin Gao

Ph.D. student

Department of Pharmacy

National University of Singapore

Email: gao (dot) junbin (dot) cn [at] gmail (dot) com

/ junbingao [at] u (dot) nus (dot) edu

CV Blog Google Scholar

Research Topics

Machine Learning
Data Science
Functional Genomics

Junbin Gao is a Ph.D. student in Liu Lab for Genomic Data Science at National University of Singapore, supervised by Professor Boxiang Liu. He got his master's degree in the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, advised by Professor Zhigang Zeng (FIEEE). Prior to his master's degree, he received his bachelor's degree in Measurement and Control Technology and Instrumentation from Northeastern University.

During his master's degree, he did an internship at Microsoft Research Asia for six months, his main research direction was object detection (2D & 3D) and deep learning. Currently, his main interest lies in AI for genomics, particularly in the areas of spatial transcriptome and single-cell RNA-seq.

News

(12/2023) Awarded NUS Research Scholarship.
(06/2023) Happy graduation!
(07/2021) I am now a visiting student in Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, advised by Dr. Xiaolin Hu.
(01/2021) I am now a research intern in Intelligent Media, Microsoft Research Asia (MSRA), advised by Dr. Yuwang Wang.

Selected Awards

NUS Research Scholarship, Singapore@SG, 2023
AI Innovation and Application Competition (Second Price), Shenzhen@CN, 2021
Huawei Cup Mathematical Contest in Modeling (Second Price), Shanghai@CN, 2020
HUST Scholarship (First Prize), Wuhan@CN, 2020
TI Cup Electronic Design Competition (First Prize), Shanghai@CN, 2019
China Telecom Scholarship, Beijing@CN, 2019
Challenge Cup Competition (Silver Award), Hangzhou@CN, 2018
National Scholarship, Beijing@CN, 2017

Publications

PSIDet: Probabilistic Structure Information from Point Cloud for 3D Object Detection.
Junbin Gao, Junjie Zhang, Shaojin Wu, Hao Ruan, Junting Lv, Lianguang Liu, Yin Sheng and Zhigang Zeng.
Neural Networks. Under review. [paper]

DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers.
Junbin Gao, Hao Ruan, Bingrong Xu, Zhigang Zeng.
IEEE International Conference on Cyborg and Bionic Systems (CBS), 2022. [paper]

GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network.
Hao Ruan, Bingrong Xu, Junbin Gao, Lianguang Liu, Junting Lv, Yin Sheng and Zhigang Zeng.
IEEE International Conference on Cyborg and Bionic Systems (CBS), 2022. [paper]