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Kai Wang
Ph.D. Student & AI Singapore Ph.D. Fellowship
Institutes of Data Science & School of Computing
National University of Singapore

About Me (curriculum vitae)

We are hiring Research Interns, more details can be found here. Feel free to contact me..

I start my Ph.D in HPC-AI Lab at National University of Singapore (from August, 2021), supervised by Presidential Young Prof. Yang YOU.

My doctoral thesis committee is composed of Professor Tat Seng CHUA, who serves as the Chair, as well as Professor Mike SHOU and Professor Yang YOU.

I spend 12 months as a research intern in Alibaba DAMO Acadmey, I am fortunately to work with Prof. Rong Jin and Shuo Wang

Before coming to Alibaba, I received my M.S. degree in 2020 from University of Chinese Academy of Sciences, supervised by Prof. Yu Qiao and Assoc. Prof. Xiaojiang Peng .

My research areas include Dataset Distillation, Dataset Expandation, Dataset Denoising, Dataset Privacy, Noisy Robust Learning and so on.

I am so fortunately to work closely with Prof. Jiashi Feng, Prof. Hakan Bilen, Prof. Xinchao Wang, Dr. Bo Zhao, Dr. Zheng Zhu, Dr. Jianfei Yang, and Xiangyu Peng.

News

  • Feb. 2023: BiCro and MSINet have been accepted by CVPR-2023, two papers consider the data issues in AI.
  • Jan. 2023: Beta was selected as Spotlight Paper in ICLR-2023.
  • Nov. 2022: HaBa was selected as Spotlight Paper in NeurIPS-2022.
  • Sep. 2022: One Paper has been accepted by NeurIPS-2022.
  • July 2022: One Paper has been accepted by ECCV-2022.
  • Mar. 2022: ContrastiveCrop was selected as Oral Presentation in CVPR-2022.
  • Mar. 2022: Give a talk in Sun Yat-sen University, invited by Prof. Xiaodan Liang. Slides coming soon.
  • Mar. 2022: Give a talk in ByteDance, invited by Prof. Jiashi Feng. Slides coming soon.
  • Mar. 2022: Five papers have been accepted by CVPR-2022, including two first-author papers, one equal-first-author paper, and one second-author paper.
  • Oct. 2021: Our Team win one Champion and and one Third Place in ICCV-MFR Challenge, one Second Place in InsightFace Track.
  • Aug. 2021: One Conference paper has been accepted by ICCV-MFR-Workshop.
  • May 2021: Got AI Singapore Ph.D. Fellowship!!!!
  • May 2021: One Journal paper has been accepted by Transaction on Artificial Intelligence.
  • Mar. 2021: Got a NUS Ph.D offer!!!
  • Feb. 2021: One Journal paper has been accepted by Neurocomputing.
  • Jul. 2020: Start my full-time intern at Alibaba DAMO Acadmey.
  • Jul. 2020: One Conference paper has been accepted by ECCV2020.
  • May. 2020: One Conference paper has been accepted by ICIP2020.
  • Feb. 2020: One Conference paper has been accepted by CVPR2020.
  • Jan. 2020: Start my part-time intern at Huawei Cloud.
  • Dec. 2019: One Journal paper has been accepted by TIP.
  • Dec. 2019: One Conference paper has been accepted by AAAI2020.
  • Dec. 2019: Our team achieve Top 6/2612 in NAIC Challenge.
  • Oct. 2019: Three Conference papers have been accepted by ICMI-2019.
  • Sep. 2019: Our team win the Champion in Huawei Garbege Classification Challenge.
  • Aug. 2019: Our team win the Two Second and One Third Place in EmotiW-2019 Challenge.
  • Jan. 2019: Our team win the Champion in PEER (Hosted by UC. Berkeley) Challenge.
  • Aug. 2018: Our team win the One Champion and One Second Place in EmotiW-2018 Challenge.
  • Aug. 2017: Our team win the One Champion in EmotiW-2017 Challenge.
  • Some Awards before 2017, you can check out from my CV

Selected Publications (full list)

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
Jianyang Gu, Kai Wang, Wei Jiang, et.al, Yang You, and Jian Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Conference
Paper Code


BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, and Min Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Conference


Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, and Yang You
Spotlight Paper in The Eleventh International Conference on Learning Representations (ICLR) 2023
Conference
Paper Code


Dataset Distillation via Factorization
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, and Xinchao Wang
Spotlight Paper in Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS) 2022
Conference
Paper Code


DLME: Deep Local-flatness Manifold Embedding
Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, and Stan Li
European Conference on Computer Vision (ECCV) 2022
Conference
Paper


CAFE: Learning to Condense Dataset by Aligning Features
Kai Wang, Bo Zhao，Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, and Yang You
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


An Efficient Training Approach for Very Large Scale Face Recognition
Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, and Yang You
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


Crafting Better Contrastive Views for Siamese Representation Learning
Xiangyu Peng, Kai Wang* , Zheng Zhu, Mang Wang, and Yang You (Equal-first author)
Oral Presentation in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, and Yang You
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
Shiming Chen, Ziming Hong, Guosen Xie, Wenhan Yang, Qinmu Peng, Kai Wang, Jian Zhao, Xinge You
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


Suppressing uncertainties for large-scale facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, and Yu Qiao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Conference
Paper Code


Region attention networks for pose and occlusion robust facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, and Yu Qiao
IEEE Transaction on Image Processing (TIP), 2020
Journal
Paper Code


Suppressing mislabeled data via grouping and self-attention
Xiaojiang Peng,Kai Wang* , Zhaoyang Zeng, Qing Li, Jianfei Yang, and Yu Qiao (Equal-first author)
European Conference on Computer Vision (ECCV), 2020
Conference
Paper Code


Interactive dual generative adversarial networks for image captioning
Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, and Min Yang
AAAI Conference on Artificial Intelligence (AAAI), 2020
Conference
Paper


Education

Ph.D. in Data Science & Computer Vision
National University of Singapore, Singapore
Aug. 2021 - Present
M.S. in Computer Technology
University of Chinese Acadmey of Sciences
Sep. 2017 - Aug. 2020
B.Eng. in Electrical Engineering and Automation
Beijing Normal University, Zhuhai, China
Sep. 2013 - July 2017

Academic Service

  • Reviewer of CVPR, ECCV, ICML
  • Reviewer of TIP, TCSVT, TAFFEC, TNNLS

    • Work Experience

    Research Intern
    Huawei Cloud
    Hilens
    Shenzhen, China
    Jan. 2020 - July 2020
    Research Intern
    Alibaba Group
    DAMO Academy
    Hangzhou, China
    July 2020 - July 2021

    Friends

    Jianfei Yang (NTU), Huaizheng Zhang (NTU), Sijie Ji (NTU), Zheng Zhu (Tsinghua University), Bo Zhao (The University of Edinburgh), Jiankang Deng (Huawei London), Shuyang Sun (Oxford University), Kaipeng Zhang (The University of Tokyo), Sheng Guo (Alibaba Group), Hao Luo (Alibaba Group), Shuting He (Zhejiang University), Jianyang Gu (Alibaba Group), Xiangyu Peng (NUS), Wangbo Zhao (NUS), Ruicheng Feng (NTU), David Junhao Zhang (NUS), Zangwei Zheng (NUS), Wangbo Zhao (NUS), Yong Liu (NUS), Yaqi Xie (NUS), Fuzhao Xue (NUS)

    Copyright © Kai Wang 2021