About Me
I got my Bachelor's degree from
IEEE honor class
at Shanghai Jiao Tong University, and the dual-master degree from the joint programme of SJTU and Waseda
University.
I'm currently working on robust deep learning, including long-tailed recognition & adversarial robustness,
and visual reasoning, including scene understanding & causal inference in computer vision.
Besides, as a gamer and a former game developer, I'm always interested in game AI.
Publications
Kaihua Tang, Jianqiang Huang, Hanwang Zhang
NeurIPS 2020
Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen
preprint
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
CVPR 2020 (oral)
Xinting Hu, Yi Jiang, Kaihua Tang, Hanwang Zhang, Chunyan Miao, Jingyuan Chen
CVPR 2020
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
CVPR 2019 (oral & appears on the Best Paper Finalists [accept rate: 0.87% = 45/5160])
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai
CVPR 2019 (oral)
Kaihua Tang, Sei-ichiro Kamata, Xiaonan Hou, Shouhong Ding, Lizhuang Ma
ACCV 2016
Awards
PREMIA Best Student Paper, Silver Award (2nd Place), PREMIA, 2019
Waseda Partial Tuition-Waiver Scholarship for International Students (10/300), Waseda University, 2015
IPS special scholarship for international students, Waseda University, 2014
Monbukagakusho Honors Scholarship for International Students, JASSO, 2014
Services
I served as Organizing Committees for
Causality in Vision
Workshop at CVPR 2021, and Reviewers for CVPR (2020, 2021), NeurIPS (2020), ICLR (2021), AAAI (2021), ICML (2021), WACV (2021).
Educations
Nanyang Technological University, Singapore
Ph.D Candidate of Computer Science and Engineering (2018.7 - Now)
Working with Asst Prof.Zhang Hanwang.
Waseda University, Japan; Shanghai Jiao Tong University, China
Dual Master Program of Science (2015.9 - 2018.3)
Primary major in Computer Science. Working with Prof.Ma Lizhuang & Prof.Kamata Sei-ichiro.
Shanghai Jiao Tong University, China
Bachelor of Science (2011.9 - 2015.8)
Primary major in Computer Science, Second major in Chinese Traditional Painting
Projects
This project aims to build a new CODEBASE for Scene Graph Generation (SGG), and it is also a Pytorch
implementation of the paper "Unbiased Scene Graph Generation from Biased Training". It is built on top of
the well-known maskrcnn-benchmark and defines relationship prediction as an additional roi_head. Moreover,
I included all the exsiting metrics: R@K, mR@K, ngR@K, zR@K, to benchmark the SGG.
An open-source visual question answering (VQA) CODEBASE built on top of the bottom-up-attention-vqa. It
integrates several popular VQA papers published in 2018, which includes: bottom-up top-down, bilinear
attention network, learning to count, learning conditioned graph structures, intra- and inter-modality
attention.
Indie Game Development
Out of interest, I independently developed several mobile games on Iphone. They have been downloaded over
10k times on Apple store in half a year.
Experience
Tencent, AI Lab, Research Intern (2018.3 - 2018.6)
Major topic: Scene Graph Generation
Mentor: Wenhan Luo, Baoyuan Wu
Mihoyo, Software Engineer Intern (2017.4 - 2017.12)
Mobile Game Development Using Unity 3D.
Toshiba, Research & Development Intern (2015.8 - 2015.9)
Major Project: Scenery Image Stitching and Inpainting.
Mentor: Kaoru Matsuoka
YAPM Summer Volunteer, Yunnan Province, China (2014.7 - 2014.8)
Youth Ambassador Program for Minorities (TECC Organization) is determined to help the youth generation of
minorities in remote area of China to inherit and protect their cultures.
Speech Lab
Intern, SJTU (2014.3 - 2014.9)
