About Me
I am a Ph.D. student majoring in computer science at Anhui University, China. I am honored to be a member of the BIMK (Institute of Bio-inspired Intelligence and Mining Knowledge). My research focuses primarily on the areas of intelligent education and evolutionary multi-objective optimization. More relevant information can be found on our homepage. Intelligent education encompasses cutting-edge research areas such as cognitive diagnosis, knowledge tracing, and computer-adaptive test, involving various deep learning technologies. More information can be found in our research papers. If you are interested in collaboration or discussion, please feel free to contact me via email or WeChat. We look forward to our dialogue and mutual learning, creating new opportunities for collaboration, just as determined individuals can achieve remarkable things.
📖 Educations and Experiences
- Ph.D.: Sep. 2020 - Present, Computer Science and Technology, Anhui University
- B.S.: Sep. 2016 - Jun. 2020, Information and Computing Science, Anhui University
💻 Research Interest
- Trustworthy Intelligent Education
- Generalized Cognitive Diagnosis (Fairness)
- Interpretable Cognitive Diagnosis (Interpretability)
- Federated Cognitive Diagnosis (Privacy)
- Robust Cognitive Diagnosis (Robustness)
- Automated X
- Neural Architecture Search
- Automatic Algorithm Design
- Symbolic Regression
- Evolutionary Multi-objective Optimization for 1️⃣ & 2️⃣
🧑🎨 Reviewers
- The reviewer of NeurIPS, SIGKDD, ICLR, SIGIR, AAAI and IJCAI.
🔥 News
- 2024.09.26: 🎉🎉 Our work DisenGCD proposing a meta-multigraph-assisted graph learning framework for cognitive diagnosis has been accepted by NeurIPS 2024.
- 2024.07.07: 🎉🎉 Our work (EMO-NAS-CD) on using NAS for cognitive diagnosis has been accepted by IEEE TEVC.
📝 Publications
TIST 2025“Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware General Neural Network Framework”. Ziwen Wang, Jingyuan Wang, Haiping Ma*, Hengshu Zhu, Shangshang Yang, Xiaoshan Yu, Shuhuan Liu, Haifeng Zhang, and Xingyi Zhang, ACM Transactions on Intelligent Systems and Technology, 2025.
