I work at the BIMK Research Group in Anhui University as a postdoctoral now in China.

I graduated from the School of Computer Science and Technology, Anhui University with a bachelor’s degree and with a doctor’s degree. I was also a Visiting Ph.D. student at Bielefeld University , Germany in 2022.

My current research interests include evolutionary multi-objective optimization, neural architecture search, and intelligent education. I have published over 30 papers at the top international AI conferences or journals.

I am the recipient of the 2023 International Conference on Data-driven Optimization of Complex Systems Best Paper Award and I got the Postdoctoral Fellowship Program (Grade B) of the China Postdoctoral Science Foundation.

You can find my CV.

📖 Educations and Experiences

• Ph.D.: Sep. 2017 - Dec. 2022, Computer Science and Technology, Anhui University
• Visiting Ph.D.: Mar. 2022 - Oct. 2022, Bielefeld University, Germany
• Intern-researcher: Jul. 2021 - Oct. 2021, Tencent Technology (Beijing) Co., Ltd
• B.E: Sep. 2013 - Jun. 2017, Network Engineering, Anhui University

💻 Research Interest

1. Trustworthy Intelligent Education
   • Generalized Cognitive Diagnosis (Fairness)
   • Interpretable Cognitive Diagnosis (Interpretability)
   • Federated Cognitive Diagnosis (Privacy)
   • Robust Cognitive Diagnosis (Robustness)
2. Automated X
   • Neural Architecture Search
   • Automatic Algorithm Design
   • Symbolic Regression
3. Evolutionary Multiobjective Optimization for 1️⃣ & 2️⃣

🎖 Honors and Awards

• 2024.9 The Golden Award of the 2024 Anhui College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition (GAOJIAO Main Track).
• 2024.07 The Winner of the Competition on “Large-scale Multiobjective Optimization for Status Assessment of Measuring Equipment” at the 2024 IEEE World Conference on Computational Intelligence.
• 2023.9 The Best Paper of the 2023 International Conference on Data-driven Optimization of Complex Systems (DOCS 2023): the paper entitled “Evolutionary Multi-Objective Neural Architecture Search for Generalized Cognitive Diagnosis Models”.
• 2023.6 The Winner of the Competition on “Large-scale Continuous Optimization for Non-contact Measurement - MO Optimization” at the 2023 IEEE Congress on Evolutionary Computation.
• 2022.12 The Best Poster Paper of the 2022 Annual Conference of Anhui Artificial Intelligence Society: the paper entitled “Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation”.
• 2022.06 The Silver Award of the 2022 Anhui College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition (GAOJIAO Main Track).

🎙 Invited Talks

• 2023.09, NICE Seminar: Designing Novel Cognitive Diagnosis Models by Evolutionary Multi-Objective Neural Architecture Search

  Arxiv Paper

  Accepted Paper

  Video

💬 Fundings

• The Postdoctoral Fellowship Program (Grade B) of China Postdoctoral Science Foundation under Grant Number GZB20240002 (A two-year support started in 2024, only 1000 people won, and about 500 people won Grade A)， 360K ；

• The China Postdoctoral Science Foundation (74th Batch of General Funding)，2023-2025 (at a funding rate of about 17% ) 80K；

• The National Natural Science Foundation of China (Youth Project)，2024-2026, 300K；

• Anhui Province Key Laboratory of Intelligent Computing and Applications (No. AFZNJS2024KF01)，2024-2025, 50K；

🧑‍🎨 Reviewers

• The reviewer of IEEE INNLS, IEEE TAI, IEEE TEVC, IEEE TETCI, NeurIPS, SIGKDD, ICLR, and ACM MM.

🔥 News

• 2024.09.26:  🎉🎉 Our work DisenGCD proposing a meta-multigraph-assisted graph learning framework for cognitive diagnosis has been accepted by NeurIPS 2024.
• 2024.09.01:  🎉🎉 Our group won the Golden Award of the 2022 Anhui College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition (GAOJIAO Main Track), supervised by Ye Tian, Shangshang Yang, and Xingyi Zhang.
• 2024.07.07:  🎉🎉 Our work (EMO-NAS-CD) on using NAS for cognitive diagnosis has been accepted by IEEE TEVC.
• 2024.07.01:  🎉🎉 I received the support of Postdoctoral Fellowship Program (Grade B) from China China Postdoctoral Science Foundation, only 500 people won Grade A and 1,000 people got the Grade B.

📝 Publications

• 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 (CCF A), 2024.

TEVC 2024

“An Evolutionary Multi-Objective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education”

Shangshang Yang, Haiping Ma, Ying Bi, Ye Tian, Limiao Zhang*, Yaochu Jin, and Xingyi Zhang*

IEEE Transactions on Evolutionary Computation, 2024

Project

• The source code of the proposed EMO-NAS-CD approach, providing found models and the search approach to search for what you need models.

• TETCI 2024 “Hybrid Architecture-based Evolutionary Robust Neural Architecture Search”. Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian*, and Xingyi Zhang*, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.

• AAAI-24 “Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach”. Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang*, Xiaoming Zhang, and Xingyi Zhang*, in the Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (CCF A), 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 (CCF A), 2023.

DOCS 2024 Best Paper

“Evolutionary Multi-Objective Neural Architecture Search for Generalized Cognitive Diagnosis Models”

Shangshang Yang, Cheng Zhen, Ye Tian, Haiping Ma*, Yuanchao Liu, Panpan Zhang, and Xingyi Zhang*

2023 International Conference on Data-driven Optimization of Complex Systems

Best Paper

• ICCV 2023 “EQ-Net: Elastic Quantization Neural Networks”. Ke Xu, Lei Han, Ye Tian, Shangshang Yang*, and Xingyi Zhang, in the Proceedings of the 2023 International Conference on Computer Vision (CCF A), 2023.

• TETCI 2023 “Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm”. Shangshang Yang, Haoyu Wei, Haiping Ma*, Ye Tian, Xingyi Zhang, Yunbo Cao, and Yaochu Jin. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(3):829-844.

• TCDS 2022 “Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation”. Shangshang Yang, Ye Tian, Xiaoshu Xiang*, Shicheng Peng, and Xingyi Zhang*. IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(4): 1778-1792. Best Poster Paper

• TNNLS 2021 “A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks”. Shangshang Yang, Ye Tian*, Cheng He, Xingyi Zhang*, Kan Chen Tan, and Yaochu Jin. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(9): 4861-4875.

• TFS 2019 “An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection”. Ye Tian, Shangshang Yang, Xingyi Zhang*. IEEE Transactions on Fuzzy Systems, 2019, 28(11): 2841-2855.

• TETCI 2019 “A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining”. Ye Tian, Shangshang Yang, Lei Zhang, Fuchen Duan, Xingyi Zhang*. IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3(2): 106-116.

• EAAI 2019 “An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns”. Lei Zhang, Shangshang Yang, Xinpeng Wu, Fan Cheng*, Ying Xie, Zhiting Lin. Engineering Applications of Artificial Intelligence, 2019, 77: 9-20.

The last three work was completed during the first-two years of my PhD period, and more co-authored work can be found in my Google Scholar.