I am a third-year Ph.D. candidate in Computer Engineering at Northeastern Unversity (NEU). I am supervised by Prof. Yun Raymond Fu and I am a member of SmileLab. My research mainly focuses on anomaly detection in machine learning and deep learning.

Contact

Email: wyzjack990122 (at) gmail (dot) com / wang.yizhou (at) northeastern (dot) edu
WeChat ID: wyzjack

News

• 08/2022: Our paper on video anomaly detection is accepted by ICDM 2022.
• 08/2022: Our papers on unsupervised anomaly detection and semi-supervised domain adaptation are accepted by CIKM 2022.
• 04/2022: Our paper on cross-domain few-shot learning is accepted by IJCAI 2022.
• 03/2022: Our paper on trajectory prediction is accepted by CVPR 2022.
• 12/2021: Our paper on gradient-free topology optimization is accepted by Nature Communications.
• 09/2021: Start the journey at NEU, Boston, MA, after one-year remote study (due to Covid-19 and travel ban).

Education

• Northeastern University (NEU) 2020-
  Ph.D. in Computer Engineering
  Supervisor: Prof. Yun Raymond Fu
• Xi’an Jiaotong University (XJTU) 2016-2020
  B.S. in Mathematics and Applied Mathematics (National Honors Program)
  GPA: 91.17/100 (3.85/4.00)
• Georgia Institute of Technology (GaTech) 2019 Spring
  Georgia Tech School of Mathematics Visiting Honors Student Program
• Peking University (PKU) 2018 Summer
  DeeCamp Member, mentored by Megvii
• University of Alberta 2017 Summer
  International Undergraduate Summer Enrichment Program in Mathematics

Working Experience

• SMILE Lab, NEU, Boston, U.S. Sep 2021-
  Research Assistant to Prof. Yun Raymond Fu, working on anomly detection and optimization
• Mitsubishi Electric Research Laboratories (MERL), Cambridge, U.S. May 2022 - Sep 2022
  Research Intern
• Imagine Lab, XJTU, Xi’an, China Jun 2020 - Aug 2020
  Research Assistant to Prof. Jian Sun, working on deep unfolded iterative algorithm for medical images
• FLASH Lab, GaTech, Atlanta, U.S. Jan 2019 - May 2019
  Research Assistant to Prof. Tuo Zhao, working on generative adversarial imitation learning

Publications

Preprints

• Towards Explainable Visual Anomaly Detection
  Yizhou Wang, Dongliang Guo, Sheng Li and Yun Fu
  [arXiv]
• Rethinking Adam: A Twofold Exponential Moving Average Approach
  Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang and Yun Fu
  [arXiv]

Journal Papers

• Self-Directed Online Machine Learning for Topology Optimization
  Changyu Deng, Yizhou Wang, Can Qin, Yun Fu and Wei Lu
  Nature Communications (NC), 2022 (IF: 14.919)
  [arXiv, PDF, Supp, Website, Tech Xplore News, Code]

Conference Papers

• Making Reconstruction-based Method Great Again for Video Anomaly Detection
  Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma and Yun Fu
  IEEE International Conference on Data Mining (ICDM), 2022
  [PDF, Code]
• Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection
  Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai and Yun Fu
  ACM International Conference on Information and Knowledge Management (CIKM), 2022
  [PDF, Code]
• Robust Semi-supervised Domain Adaptation against Noisy Labels
  Can Qin, Yizhou Wang and Yun Fu
  ACM International Conference on Information and Knowledge Management (CIKM), 2022
  [PDF]
• MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
  Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang and Yun Fu
  International Joint Conferences on Artificial Intelligence (IJCAI), 2022
  [PDF]
• Adaptive Trajectory Prediction via Transferable GNN
  Yi Xu, Lichen Wang, Yizhou Wang and Yun Fu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [arXiv, PDF, Supp]
• On Computation and Generalization of Generative Adversarial Imitation Learning
  Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang and Tuo Zhao
  International Conference on Learning Representations (ICLR), 2020
  NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop (Spotlight)
  [arXiv, OpenReview, Video]

Selected Presentations

• Oral presentation at New England Computer Vision Workshop, MIT, Boston, MA, 2022

Selected Awards

• IEEE ICDM 2022 Student Travel Award, 2022
• SIGIR Student Travel Grant, 2022
• Dean’s Fellowship of Northeastern University, 2020
• Outstanding graduate of XJTU, 2020
• National Zhufeng 1st Scholarship (Pilot Scheme of Top-notch Talent Cultivation in Basic Disciplines), 2019
• Special Prize in 2018 National English Competition for College Students (Top 0.1%), 2018
• XJTU Pengkang Scholarship (Top 1.5%), 2018
• National Endeavor Scholarship (Top 2%), 2017

Academic Service

Conference Reviewer

• International Conference on Machine Learning (ICML), 2022, 2023
• Neural Information Processing Systems (NeurIPS), 2021, 2022
• International Conference on Learning Representations (ICLR), 2022
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2023
• International Conference on Computer Vision (ICCV), 2023
• European Conference on Computer Vision (ECCV), 2022
• SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
• AAAI Conference on Artificial Intelligence (AAAI), 2023
• International Joint Conference on Artificial Intelligence (IJCAI), 2023
• Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
• IEEE International Conference on Multimedia and Expo (ICME), 2022
• ECCV Workshop on Vision With Biased or Scarce Data, 2022

Journal Reviewer

• ACM Transactions on Knowledge Discovery from Data (TKDD)
• Knowledge and Information Systems (KAIS)
• IEEE Computational Intelligence Magazine (CIM)

Teaching Experience

Teaching Assistant (TA)

• EECE 5642: Data Visualization, Northeastern University, Spring 2023

Miscellaneous

• I was born in Nantong, Jiangsu, China, in 1999. I love my hometown, which is a beautiful and livable city.
• I am a sports fan. I like basketball (I can dunk 2.95m basketball hoop), soccer, badminton, table tennis and Go chess (I am Amateur 2 Dan). My favorite basketball players are Lebron James and Luka Doncic. My favorite soccer player is Lionel Messi (Congratulations to Argentina for winning FIFA World Cup Qatar 2022!). If you want to play basketball with me, contact me via email or WeChat (see Contact section below). My lab colleagues and I usually play at the second floor of Marino Recreation Center. Recently I am into American football and NFL, feel free to contact me if you want to play together.
• I am a music fan. I love listening to Hiphop. My favorite rappers are Jack Harlow, 8aceMak1r (a.k.a. PG One) and Post Malone (if he is). I also like singing songs when I have time. Here is my “We Sing” (全民K歌) account where I record my singings. I am actually pretty good at singing as I can easily get SSS scores on “We Sing”.