ZHU Yulin

Teaching Experience

  • Big Data Analytics (RAI611), Lecture, Department of Computer Science, HKCHC
  • Data Mining & Data Warehouse (RAI612), Lecture, Department of Computer Science, HKCHC
  • Discrete Math (CSC031), Lecture, Department of Computer Science, HKCHC
  • Artificial Intelligence (RAI604), Lecture, Department of Computer Science, HKCHC
  • Machine Learning (RAI605), Lecture, Department of Computer Science, HKCHC
  • Introduction to Statistics (STAT1011), Tutorial, STAT, CUHK
  • Basic Methods in Biomedical Statistics (STAT3004), Tutorial, STAT, CUHK
  • Statistical Techniques in Life Science (STAT3210), Tutorial, STAT, CUHK
  • Statistics Projects (STAT4011), Tutorial, STAT, CUHK

Community Service

  • Program Committee Member, The Association for the Advancement of Artificial Intelligence (AAAI).
  • Reviewer, IET Communications.
  • Reviewer, IEEE Transactions on Dependable and Secure Computing (TDSC).
  • Reviewer, ACM Transactions on Knowledge Discovery from Data (TKDD).
  • Reviewer, IEEE Internet of Things Journal (IoTJ).
  • Reviewer, ACM Knowledge Discovery and Data Mining (KDD).
  • Reviewer, IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
  • Reviewer, Asia Conference on Machine Learning (ACML).
  • Reviewer, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
  • Sub-reviewer, The Conference on Information and Knowledge Management (CIKM).
  • Sub-reviewer, International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
  • Sub-reviewer, European Conference on Artificial Intelligence (ECAI).
  • Sub-reviewer, International Conference on Security and Privacy in Communication Systems (SecureComm).
  • IEEE Member
  • Technical Program Committee Member, International Conference on Computing, Networking and Communications (ICNC)
  • Reviewer, International Joint Conference on Neural Networks (IJCNN).
  • Reviewer, IEEE Transactions on Information Forensics and Security (TIFS).

Invited Talks

07/12/2022
Invited talk titled “BinarizedAttack: Structural Poisoning Attacks to Graph-Based Anomaly Detection”
Hosted by Shanghai Jiao Tong University, Institute of Cyber Science and Technology