A Postdoc at the School of Artificial Intelligence
Anhui University
Email: yangshang0308@gmail.com
Lab: BIMK Research Group
Education and Experiences
Ph.D.: Sep 2017 - Dec 2022, Computer Science and Technology, Anhui University, Xingyi Zhang (Supervisor)
Visiting Ph.D.: Mar 2022 - Oct 2022, Bielefeld University, Germany, Yaochu Jin (Co-Supervisor)
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)
3. Evolutionary Multiobjective Optimization for 1️⃣ & 2️⃣
2. Automated X
Neural Architecture Search
Automatic Algorithm Design
Symbolic Regression
Honors & Awards
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
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"
The Winner of the Competition on "Large-scale Continuous Optimization for Non-contact Measurement - MO Optimization" at the 2023 IEEE Congress on Evolutionary Computation
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 "
The Silver Award of the 2022 Anhui College Students' 'Internet+' Innovation and Entrepreneurship Competition (GAOJIAO Main Track)
Reviewers
The reviewer of IEEE INNLS, IEEE TAI, IEEE TEVC, IEEE TETCI, NeurIPS, SIGKDD, and ACM MM.
Fundings & something like
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) ;
The China Postdoctoral Science Foundation (74th Batch of General Funding),2023-2025 (at a funding rate of about 17% );
The National Natural Science Foundation of China (Youth Project),2024-2026;
Publications
Shangshang Yang, Haiping Ma, Ying Bi, Ye Tian, Limiao Zhang*, Yaochu Jin, an Xingyi Zhang*. "An Evolutionary Multi-Objective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education". IEEE Transactions on Evolutionary Computation, 2024.
Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian*, Xingyi Zhang*. "Hybrid Architecture-based Evolutionary Robust Neural Architecture Search". IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang*, Xiaoming Zhang, Xingyi Zhang*. "Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach". in the Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24, CCF A), 2023.
Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma*, Xingyi Zhang*. "Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing". in the Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS, CCF A), 2023.
Shangshang Yang, Cheng Zhen, Ye Tian, Haiping Ma*, Yuanchao Liu, Panpan Zhang, Xingyi Zhang*. "Evolutionary Multi-Objective Neural Architecture Search for Generalized Cognitive Diagnosis Models". in the Proceedings of the 2023 International Conference on Data-driven Optimization of Complex Systems (EI), 2023, Best Paper.
K. Xu, L. Han, Y. Tian, S. Yang*, X. Zhang. "EQ-Net: Elastic Quantization Neural Networks". in the Proceedings of the 2023 International Conference on Computer Vision (ICCV, CCF A), 2023.
S. Yang, H. Wei, H. Ma*, Y. Tian, X. Zhang, Y. Cao, Y. Jin. "Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm". IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(3):829-844.
S. Yang, Y. Tian, X. Xiang*, S. Peng, X. Zhang*. "Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation". IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(4): 1778-1792.
S. Yang, Y. Tian*, C. He, X. Zhang*, K.C. Tan, and Y. Jin. "A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks". IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(9): 4861-4875.
Y. Tian, S. Yang, X. Zhang*. "An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection". IEEE Transactions on Fuzzy Systems, 2019, 28(11): 2841-2855.
Y. Tian, S. Yang, L. Zhang, F. Duan, X. Zhang*. "A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining". IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3(2): 106-116.
L. Zhang, S. Yang, X. Wu, F Cheng*, Y. Xie, Z. Lin. "An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns". Engineering Applications of Artificial Intelligence, 2019, 77: 9-20.
L. Zhang, H. Yang, S. Yang, X. Zhang. "A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks ". IEEE Computational Intelligence Magazine, In Press.
Y. Tian, S. Peng, S. Yang, X. Zhang*, K.C. Tan, Y. Jin. "Action Command Encoding for Surrogate-Assisted Neural Architecture Search". IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 1129-1142.
Y. Tian, J. Pan, S. Yang, X. Zhang*, S. He, Y. Jin. "Imperceptible and sparse adversarial attacks via a dual-population based constrained evolutionary algorithm". IEEE Transactions on Artificial Intelligence, 2022, 4(2):268-281.
H. Ma, J. Zhu, S. Yang, Q. Liu, H. Zhang, X. Zhang*, Y. Cao, X. Zhao. "A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students", in the Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022: 4304-4308, Atlanta GA USA, October 17–21 2022.
H. Ma, Y. Zeng, S. Yang, C. Qin, X. Zhang, L. Zhang*. "A novel computerized adaptive testing framework with decoupled learning selector". Complex & Intelligent Systems, 2023: 1-12.
J. Chu, X. Yu, S. Yang, J. Qiu, Q. Wang*. "Architecture entropy sampling-based evolutionary neural architecture search and its application in osteoporosis diagnosis". Complex & Intelligent Systems, 2023, 9(1): 213-231.