About Me
My research mainly focuses on learning unbiased models against the distribution shift in computer vision, vision
& language, incremental learning, noise identification, etc. As a previous game engineer, my lifelong dream is to (1) use machine learning to create something fun, (2) build interactive,
personalized, and engaging NPC that can be used to enable an immersive virtual world. If you feel that I can
help with your related projects, please don't hesitate to contact me.
I'm currently on the job market. I would appreciate a ping if you see a job I might fit.
Publications
Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang
European Conference on Computer Vision (ECCV 2022).
Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang
European Conference on Computer Vision (ECCV 2022, Oral).
Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang
European Conference on Computer Vision (ECCV 2022).
Kaihua Tang, Mingyuan Tao, Hanwang Zhang
arXiv preprint 2021
Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, Joo-Hwee Lim
IEEE Transactions on Multimedia (TMM 2021).
Kaihua Tang, Jianqiang Huang, Hanwang Zhang
Conference on Neural Information Processing Systems (NeurIPS 2020).
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020, Oral).
Xinting Hu, Yi Jiang, Kaihua Tang, Hanwang Zhang, Chunyan Miao, Jingyuan Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020).
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019, Oral & Best
Paper Finalists [45/5160]).
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019, Oral).
Kaihua Tang, Sei-ichiro Kamata, Xiaonan Hou, Shouhong Ding, Lizhuang Ma
Asian Conference on Computer Vision (ACCV 2016).
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.
This project provides a strong single-stage baseline for Long-Tailed Classification (under ImageNet-LT,
Long-Tailed CIFAR-10/-100 datasets), Detection, and Instance Segmentation (under LVIS dataset). It is also
a PyTorch implementation of the NeurIPS 2020 paper Long-Tailed Classification by Keeping the Good and
Removing the Bad Momentum Causal Effect. This project can be easily generalized to other tasks with
unbalanced datasets.
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.
Awards
Outstanding Reviewer (Top 10%), ICML, 2022
2021 Alibaba Outstanding Interns in Academic Cooperation, Alibaba Group, 2021
2021 & 2019 PREMIA Best Student Paper Award, 2nd Place, PREMIA, 2021 & 2019
CVPR 2019 Best Paper Finalists, 2019
Honorable Judge Award, The 5th Cloud Programming World Cup, FORUM8 Tokyo, 2017
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
Emerging Talent Award, The 1st Cloud Programming World Cup, FORUM8 Tokyo, 2013
Academic Services
Organizing Committees
Talks and Blogs
Invited Talk : To Alibaba Group, Hosted by Tianchi Team from Alibaba Cloud, Hangzhou, China, 2020.11
Blogs : Sharing Research Experiences at
Zhihu, Language: Chinese
Paper Review
CVPR, ECCV, ICCV, WACV, NeurIPS, ICLR, ICML, AAAI, TPAMI
Experience
Alibaba, DAMO Academy, Research Intern (2019.7 - 2021.11)
Major topic: Robust Machine Learning
Mentor: Mingyuan Tao, Chang Zhou, Jianqiang Huang
Tencent, AI Lab, Research Intern (2018.3 - 2018.6)
Major topic: Scene Graph Generation
Mentor: Wenhan Luo, Baoyuan Wu, Wei Liu
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
Speech Lab
Intern, SJTU (2014.3 - 2014.9)
Major Project: Leading a team to develop an Android App for unlocking the screen by Voice Recognition.
Mentor: Kai Yu
28th ACM-MM Volunteer, Seattle, USA (2020.10)
Received Volunteer Appreciation Certification in the 2020 ACM Multimedia for joining the organization of online
presentation.
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.
