I am a third-year Ph.D. student at Anhui University (AHU) , under the supervision of Prof. Xingyi Zhang. My current research interests include Intelligent Education, Trustworthy Learner Modeling, Evolutionary Computation, Recommender Systems, and Neural Architecture Search. I have published several papers in leading journals and conferences, such as IEEE TKDE, KDD, NeurIPS, WWW, IJCAI, ICDM, and CIKM.

I am looking for a Postdoctoral position in the areas of Data Mining and Evolutionary Computation. Please feel free to contact me at yxsleo@gmail.com.

💻 Research Interests

1. Intelligent Education
   • Cognitive Diagnosis
   • Knowledge Tracing
   • Computerized Adaptive Testing
   • Learning Path Recommendation
   • Course/Knowledge Concept Recommendation
2. Trustworthy Learner Modeling
   • Robust Learner Modeling
   • Interpretable Learner Modeling
   • Privacy-Preserving Learner Modeling
   • Fairness-Aware Learner Modeling
3. Evolutionary Multi-objective Optimization for 1️⃣ & 2️⃣
4. Neural Combinatorial Optimization for 1️⃣ & 2️⃣

🔥 News

• 2025.01.05: 🎉🎉 I was awarded the inaugural Young Elite Scientists Sponsorship Program by CAST, Doctoral Student Special Plan.
• 2024.12.20: 🎉🎉 An introductory Tutorial on reinforcement learning is available to facilitate communication and learning.
• 2024.11.03: 🎉🎉 Our work RIGL won the Second Prize (2nd place) for the Best Poster at the 22nd China Symposium on Machine Learning and Applications (MLA-24).
• 2024.09.26: 🎉🎉 Our work DisenGCD proposing a meta-multigraph-assisted graph learning framework for cognitive diagnosis has been accepted by NeurIPS 2024 (CCF-A).
• 2024.09.06: 🎉🎉 Our paper “DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation” has been accepted by ICDM-2024 (CCF-B).
• 2024.05.17: 🎉🎉 Our paper “RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes” has been accepted by KDD-2024 (CCF-A).

📝 Publications

Highlighted Research

In the year of 2024:

KDD 2024

“RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes”

Xiaoshan Yu, Chuan Qin*, Dazhong Shen, Shangshang yang, Haiping Ma*, Hengshu Zhu*, and Xingyi Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024. (CCF-A). [PDF][CODE]

TKDE 2024

“RDGT: Enhancing Group Cognitive Diagnosis with Relation-Guided Dual-Side Graph Transformer”

Xiaoshan Yu, Chuan Qin*, Dazhong Shen, Haiping Ma*, Le Zhang, Xingyi Zhang, Hengshu Zhu, and Hui Xiong

IEEE Transactions on Knowledge and Data Engineering, 2024. (CCF-A). [PDF][CODE]

ICDM 2024

“DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation”

Xiaoshan Yu, Chuan Qin*, Qi Zhang, Chen Zhu, Haiping Ma*, Xingyi Zhang, and Hengshu Zhu

IEEE International Conference on Data Mining (ICDM), 2024. (CCF-B). [PDF][CODE]

Representative Papers

In the year of 2024:

• NeurIPS 2024 “DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis”. Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma*, and Xingyi Zhang, in the Proceedings of the Thirty-eighth Conference on Neural Information Processing Systems, 2024. (CCF-A). [PDF][CODE]

• IJCAI 2024 “DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis”. Haiping Ma, Siyu Song, Chuan Qin*, Xiaoshan Yu, Limiao Zhang*, Xingyi Zhang, and Hengshu Zhu, in the Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024. (CCF-A). [PDF][CODE]

• WWW 2024 “HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection”. Haiping Ma, Yong Yang, Chuan Qin*, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang* and Hengshu Zhu, in the Proceedings of the ACM Web Conference 2024, 2024. (CCF-A). [PDF][CODE]

In the year of 2023:

• NeurIPS 2023 “Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing”. Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma*, and Xingyi Zhang*, in the Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems, 2023. (CCF-A). [PDF][CODE]

• CIKM 2023 “Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective”. Shuhuan Liu, Xiaoshan Yu, Haiping Ma*, Ziwen Wang, Chuan Qin, and Xingyi Zhang*, in the Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023. (CCF-B). [PDF][CODE]

• CAIS 2023 “Architecture entropy sampling-based evolutionary neural architecture search and its application in osteoporosis diagnosis”. Jianjun Chu, Xiaoshan Yu, Shangshang Yang, Jianfeng Qiu, and Qijun Wang*, Complex & Intelligent Systems, 2023, 9(1): 213-231. (JCR Q1). [PDF][CODE]

🎖 Honors and Awards

• 2024.11 The Second Prize for the Best Poster at the 22nd China Symposium on Machine Learning And Applications (MLA-24)
• 2024.11 National Scholarship (PhD)
• 2022.10 First Class Award Scholarship of the Graduate
• 2021.10 First Class Award Scholarship of the Graduate
• 2018.10 National Encouragement Scholarship (Undergraduate)

📖 Educations and Experiences

• Ph.D.: Sep. 2020 - Now, Computer Science and Technology, Anhui University
• Intern-researcher: Jun. 2023 - Mar. 2024, Career Science Lab (CSL), BOSS Zhiping.
• Intern-researcher: Jun. 2022 - Oct. 2022, Talent Intelligence Center (TIC), Baidu Online Network Technology (Beijing) Co., Ltd.
• B.E: Sep. 2016 - Jun. 2020, Software Engineering, Hefei Normal University

🧑‍🎨 Social Services

• Journal Reviewer
  • Expert Systems With Applications
  • Information Processing and Management
  • Applied Intelligence
• Program Committee Member (Conference)
  • IJCAI-25
  • AAAI-24/25
  • WWW-24/25
  • ICLR-25
  • ICML-25
  • SIGKDD-24
  • ECML-PKDD-23
  • IJCNN-25
  • CEC-25