Biography
I am currently a Master student majoring in Computer Technology at ZJU-UIUC Joint Institute, Zhejiang University, advised by Prof. Hongwei Wang. I work closely with Prof. Shiqing Ma @ UMass Amherst and Prof. Yongfeng Zhang @ Rutgers.
My research interests lie at:
- Machine Learning: Deep Learning, e.g., Incremental Learning, Contrastive Learning, Anomaly/Out-of-Distribution Detection; Knowledge Graph
- Trustworthy Machine Learning: LLM Agent Security, Adversarial(Backdoor) Attack/Defense;
- AI/ML+X: AI for Industrial Fault Diagnosis, AI for Healthcare
I consistently seek simple yet effective methods, grounded in deep insights and supported by strong theoretical foundations.
Education
Zhejiang University (QS 44) | Sep. 2022 – Mar. 2025 (Expected)
MEng. Computer Technology @ ZJU-UIUC Joint Institute, China
Ranking: 1/82; Supervisor: Prof. Hongwei WangUniversity of Leeds (QS 75) | Sep. 2018 – Jun. 2022
BSc. Computer Science - Honors Class I @ School of Computing, United KingdomSouthwest Jiaotong University | Sep. 2018 – Jun. 2022
BEng. Computer Science and Technology, China
Ranking: 1/75; Supervisor: Prof. Tianrui Li
Publications(*Equal Contribution)
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)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)SAKA: an intelligent platform for semi-automated knowledge graph construction and application
Hanrong Zhang, Xinyue Wang, Jiabao Pan, Hongwei Wang
Service Oriented Computing and ApplicationsAn 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)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)SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Hanrong Zhang, Peng Peng, Mengxuan Li, Gongzhuang Peng, Hongwei Wang, Weiming Shen (preprint)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)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)
Honors
Scholarships
- 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 (¥25000), UoL, 2018 - 2019
Academic Awards
- Award of Honor for Graduate, ZJU, 2022 - 2023
- 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
Competiton 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 & University of Illinois Urbana-Champaign (with Prof. Mark Hasegawa-Johnson), Spring 2023 & Spring 2024 (for undergraduates)
- Teaching Assistant, ECE 2013: Artificial Intelligence, Zhejiang University, Fall 2023 (for graduates)