Zhen (Zohn) Wang

UBTECH Sydney AI Centre, School of Computer Science, Faculty of Engineering, The University of Sydney, Darlington, NSW 2008, Australia zwan4121@uni.sydney.edu.au

I am a PhD candidate at UBTECH Sydney AI Centre, School of Computer Science, the University of Sydney, supervised by Professor Dacheng Tao. I received M.Sc. degree from Tsinghua University, supervised by Associate Professor Bo Yuan.

My research focuses on developing intelligent learning algorithms to quickly adapt to and incorporate new and unseen information. I am interested in streaming label learning, meta-learning, multi-label learning, and transfer learning. My work is motivated by and can be applied to various real-world applications such as Streaming Media, Social Network, and Recommendation System.


News

  • One paper on continual learning was accepted to ICML2021 Workshop


Publications

Conference Papers

  1. Zhen Wang, Yiqun Duan, Liu Liu, and Dacheng Tao. "Multi-label Few-shot Learning with Semantic Inference", The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. (Accepted, CORE Rank A*);
  2. Zhen Wang, Liu Liu, and Dacheng Tao. "Deep Streaming Label Learning", The 37th International Conference on Machine Learning (ICML), 2020. (CORE Rank A*);
  3. W. Lu, Y. Yu, Y. Chang, Zhen Wang, C. Li, Bo Yuan. "A Dual Input-aware Factorization Machine for CTR Prediction", The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CORE Rank A*);
  4. Zhen Wang, Rui Zhang, Jianzhong Qi, Bo Yuan. "DBSVEC: Density-Based Clustering Using Support Vector Expansion", The 35th IEEE International Conference on Data Engineering (ICDE), 2019. (CORE Rank A*);
  5. Y. Yu, Zhen Wang, Bo Yuan. "An Input-aware Factorization Machine for Sparse Prediction", The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. (CORE Rank A*);

Journal Papers

  1. H Xi, L. He, Y. Zhang, Zhen Wang. "Bounding the Efficiency Gain of Differentiable Road Pricing for EVs and GVs to Manage Congestion and Emissions", PLoS ONE, 2020. (SJR Q1);
  2. H Xi, L. He, Y. Zhang, Zhen Wang. "Differentiable road pricing for environment-oriented electric vehicle and gasoline vehicle users in the bi-objective transportation network", Transportation Letters, 2021. (SJR Q2);

Under Review

  1. TNNLS;
  2. AAAI-22;

Services

  • Reviewer, 2021 IEEE/CVF International Conference on Computer Vision (ICCV 2021)
  • PC Member, The 35th AAAI Conference on Artifical Intelligence (AAAI-21)
  • Reviewer, Winter Conference on Applications of Computer Vision (WACV 2021)
  • Reviewer, ACM Transactions on Knowledge Discovery from Data
  • Reviewer, IEEE Transaction on Cybernetics
  • Reviewer, IEEE Intelligent Systems
  • Reviewer, IEEE Transaction on Cybernetics
  • Reviewer, Neural Processing Letters
  • Subreviewer, ICDE 2019

Awards

  • Engineering and IT Research Scholarship (Full Scholarship), 2019, awarded by the University of Sydney.
  • ICDE 2019 Travel Grant, 2019, awarded by IEEE TCDE.
  • Visiting Scholar Invitation, 2018, awarded by the University of Melbourne.
  • International Research Training Fund, 2017, awarded by University of Melbourne.
  • International Exchange Research Student Scholarship, 2017, awarded by Tsinghua University.
  • Meritorious Winner in International Interdisciplinary Mathematical Contest in Modeling, 2016, awarded by Consortium for Mathematics and Its applications, Mathematical Association of America.
  • Provincial-Level Excellent Graduate, 2016, awarded by Provincial Education Department.
  • Honours Undergraduate, 2016, awarded by Hunan University.
  • National Innovation Training Fund, 2014-2016, awarded by National Center for Innovation and Entrepreneurship.

Teaching Assistant

  • Data Mining: Theory and algorithms, Tsinghua University
  • Big Data: Thinking and Behavior, Tsinghua University
  • Data Visualization, Tsinghua University
  • Advanced Computing Technologies and Application, Tsinghua University