About Me

I'm currently a Postdoctoral Research Scientist at MReaL Lab, Nanyang Technological University from 2022, working with Prof. Hanwang Zhang. I obtained my Ph.D. at Nanyang Technological University in 2022, advised by Prof. Hanwang Zhang as well. Prior to the Ph.D., I received B.E. degree in Computer Science from IEEE honor class at Shanghai Jiao Tong University (SJTU) in 2015, and dual-master degree in Computer Science from the joint programme of SJTU and Waseda University in 2018, advised by Prof. Seiichiro Kamata and Prof. Lizhuang Ma.
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.

News

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

    1st Causality in Vision Workshop at CVPR 2021
    2st Causality in Vision Workshop at ECCV 2022

    Talks and Blogs

    Invited Talk : To Kuaishou, Recommendation System Group, Beijing, 2021.07
    Invited Talk : To Fudan University, Department of CS, Hosted by Asso Prof.Jingjing Chen, Shanghai, 2021.07
    Invited Talk : To The Lab for Media Search (LMS), NUS, 2021.06
    Invited Talk : To VALSE Webinar (volume 20-29), Hosted by Prof.Meng Yang, Online, 2020.12
    Invited Talk : To Causal AI Reading Group, Jointly Hosted by Swarma Club and BAAI Hub, 2020.12
    Invited Talk : To Jishi Community, Hosted by Jishi Team, BiliBili, 2020.12
    Invited Talk : To Alibaba Group, Hosted by Tianchi Team from Alibaba Cloud, Hangzhou, China, 2020.11
    Invited Talk : To Jiantao Jiao's Lab, Hosted by Ph.D. Banghua Zhou, UC Berkeley, 2020.10
    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.



    All rights reserved & Last update on Mar, 2021