I am currently a Master student majoring in Computer Engineering at ZJU-UIUC Joint Institute, Zhejiang University, advised by Prof. Hongwei Wang. I work closely with Prof. Shiqing Ma @ University of Massachusetts Amherst and Prof. Yongfeng Zhang @ Rutgers University.

My research interests lie at:

• Trustworthy Machine Learning: LLM Agent Safety and Security, Adversarial Attack/Defense;
• Machine Learning: LLM-based Agent; Self-supervised Learning; Continuous Learning; Knowledge Graph;
• Data Mining: ML for Industrial Fault Diagnosis, Anomaly/Out-of-Distribution Detection; AI for Healthcare;

🔥 News

• 2025.01:  🎉🎉 1 paper is accepted by IEEE Transactions on Industrial Informatics.
• 2024.11:  🎉🎉 I obtain the National Scholarship for Graduate Students in Zhejiang University.
• 2024.04:  🎉🎉 1 paper is accepted by IEEE Transactions on Industrial Informatics.
• 2023.11:  🎉🎉 I obtain the National Scholarship for Graduate Students in Zhejiang University.

📖 Educations

• Zhejiang University (QS 44) | Sep. 2022 – Mar. 2025 (Expected)
  MEng. Computer Engineering @ ZJU-UIUC Joint Institute, China
  Ranking: 1/82; Supervisor: Prof. Hongwei Wang

• University of Leeds (QS 75) | Sep. 2018 – Jun. 2022
  BSc. Computer Science - Honors First Class @ School of Computing, United Kingdom

• Southwest Jiaotong University | Sep. 2018 – Jun. 2022
  BEng. Computer Science and Technology, China
  Ranking: 1/75; Supervisor: Prof. Tianrui Li

📝 Publications

* denotes Equal Contribution

Trustworthy Machine Learning:

1. Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
   Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang (preprint)
   [arxiv] [code]

2. Towards Imperceptible Backdoor Attack in Self-supervised Learning
   Hanrong Zhang*, Zhenting Wang*, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma (preprint)
   [arxiv] [code]

AI+X: AI for Industrial Fault Diagnosis/Healthcare:

1. Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
   Hanrong Zhang, Yifei Yao, Zixuan Wang, Jiayuan Su, Mengxuan Li, Peng Peng, Hongwei Wang
   IEEE Transactions on Industrial Informatics (IF=12.3, JCR Q1 SCI)
   [arxiv] [code]

2. Generalized Out-of-distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning
   Xingyue Wang*, Hanrong Zhang*, Xinlong Qiao, Ke Ma, Shuting Tao, Peng Peng, Hongwei Wang
   IEEE Transactions on Industrial Informatics (IF=12.3, JCR Q1 SCI)

3. Imbalanced Chemical Process Fault Diagnosis Using Balancing GAN With Active Sample Selection
   Peng Peng*, Hanrong Zhang*, Xinyue Wang, Wanqiu Huang, Hongwei Wang
   IEEE Sensors Journal (IF=4.3, JCR Q1 SCI)

4. From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
   Hanrong Zhang*, Yifei Yao*, Hongwei Wang, Ying Chi (preprint, Medical Image Analysis Under Review)

5. Multi-gate Mixture-of-Expert Combined with Synthetic Minority Over-sampling Technique for Multimode Imbalanced Fault Diagnosis
   Wanqiu Huang, Hanrong Zhang, Peng Peng, Hongwei Wang
   International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2023, Best Paper Award Finalist)

6. Debiasing Medical Visual Question Answering via Counterfactual Training
   Chenlu Zhan*, Peng Peng*, Hanrong Zhang, Haiyue Sun, Chunnan Shang, Tao Chen, Hongsen Wang, Gaoang Wang, Hongwei Wang
   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023)

Knowledge Graph:

1. SAKA: an intelligent platform for semi-automated knowledge graph construction and application
   Hanrong Zhang, Xinyue Wang, Jiabao Pan, Hongwei Wang
   Service Oriented Computing and Applications

2. An Intelligent System for Semantic Information Extraction and Knowledge Graph Construction from Multi-Type Data Sources
   Hanrong Zhang, Xinyue Wang, Bo Qin, Hongwei Wang
   IEEE International Conference on e-Business Engineering (ICEBE 2022)

🎖 Honors and Awards

Scholarships

• National Scholarship for Graduate Students (Top 0.2%), ZJU, 2023 - 2024
• National Scholarship for Graduate Students (Top 0.2%), ZJU, 2022 - 2023
• First-class full-ride Scholarship (1/75, ￥62000), UoL, 2020 - 2021
• National Scholarship for Undergraduate Students (Top 0.2%), SWJTU, 2019 - 2020
• Second-class Scholarship (3/75, ￥25000), UoL, 2018 - 2019

Academic Awards

• Award of Honor for Graduate, ZJU, 2022 - 2023, 2023 - 2024
• Graduate with Merit A Performance, ZJU, 2022 - 2023
• Provincial Outstanding Graduate, SWJTU, 2022;
• Best Student in Computer Science (1/75), UoL, 2020 - 2021
• Best Student Overall (1/300, 4 majors), UoL, 2018 - 2019
• Pacemaker to Merit Student (Top 1%), SWJTU, 2018 - 2019 & 2019 - 2020 & 2020 - 2021

Competition Awards

• Mathematical Modeling Contest for College Students, National Second Prize (Top 0.5% of 45,000 teams), Sep. 2020
• Students Service Outsourcing Innovation and Entrepreneurship Competition, National Second Prize (Top 3%), Aug. 2020
• MathorCup College Mathematical Modeling Competition, First Prize (Top 3%), May 2020
• May Day Mathematical Modeling Competition, First Prize (Top 3%), May 2020
• Asia-Pacific Mathematical Modeling Contest, First Prize (Top 3%), Nov. 2019
• Mathematical Modeling Competition in Southwest Jiaotong University, First Prize (Top 3%), Nov. 2019
• American College Student Mathematical Modeling Contest, Honorable Mention (Top 10%), Jan. 2020

Teachings

• Teaching Assistant, ECE 448: Artificial Intelligence, Zhejiang University and University of Illinois Urbana-Champaign (with Prof. Mark Hasegawa-Johnson), Spring 2023 and Spring 2024 (for undergraduates)
• Teaching Assistant, ECE 2013: Artificial Intelligence, Zhejiang University, Fall 2023 (for graduates)