Shangshang Yang

According to our database, Shangshang Yang authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey.

Shuai Shao, Ye Tian, Yajie Zhang, Shangshang Yang, Panpan Zhang, Cheng He, Xingyi Zhang, Yaochu Jin

ACM Comput. Surv., November, 2025

A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis.

Hao Jiang, Quan Zhou, Dongdong Zhao, Shangshang Yang, Wenjian Luo, Xingyi Zhang

CoRR, July, 2025

An Efficient Sampling Approach to Offspring Generation for Evolutionary Large-Scale Constrained Multi-Objective Optimization.

Langchun Si, Xingyi Zhang, Yajie Zhang, Shangshang Yang, Ye Tian

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization.

Langchun Si, Xingyi Zhang, Ye Tian, Shangshang Yang, Limiao Zhang, Yaochu Jin

IEEE Trans. Evol. Comput., June, 2025

Generating time-consistent dynamics with discriminator-guided image diffusion models.

Philipp Hess, Maximilian Gelbrecht, Christof Schötz, Michael Aich, Yu Huang, Shangshang Yang, Niklas Boers

CoRR, May, 2025

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast.

Jingnan Wang, Jie Chao, Shangshang Yang, Congyi Nai, Kaijun Ren, Kefeng Deng, Xi Chen, Yaxin Liu, Hanqiuzi Wen, Ziniu Xiao, Lifeng Zhang, Xiaodong Wang, Jiping Guan, Baoxiang Pan

CoRR, May, 2025

Generative assimilation and prediction for weather and climate.

Shangshang Yang, Congyi Nai, Xinyan Liu, Weidong Li, Jie Chao, Jingnan Wang, Leyi Wang, Xichen Li, Xi Chen, Bo Lu, Ziniu Xiao, Niklas Boers, Huiling Yuan, Baoxiang Pan

CoRR, March, 2025

Varied granularity encoding based evolutionary algorithm for multi-objective intensity-modulated radiation therapy optimization.

Langchun Si, Xingyi Zhang, Ye Tian, Ruifen Cao, Shangshang Yang, Limiao Zhang

Eng. Appl. Artif. Intell., 2025

Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing.

Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization.

Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization.

Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Surrogate Models are not Necessary for Black-Box Expensive Optimization.

Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing.

Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search.

Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian, Xingyi Zhang

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems.

Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin

IEEE Trans. Evol. Comput., August, 2024

Cross-modal hashing retrieval with compatible triplet representation.

Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge

Neurocomputing, 2024

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.

Shangshang Yang, Linrui Qin, Xiaoshan Yu

CoRR, 2024

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.

Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu

Proceedings of the ACM on Web Conference 2024, 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, Xingyi Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Xingyi Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms.

Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.

Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier].

Lei Zhang, Haipeng Yang, Shangshang Yang, Xingyi Zhang

IEEE Comput. Intell. Mag., August, 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, Yaochu Jin

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm.

Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin

IEEE Trans. Artif. Intell., April, 2023

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search.

Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang

CoRR, 2023

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.

Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EQ-Net: Elastic Quantization Neural Networks.

Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.

Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin

IEEE Trans. Neural Networks Learn. Syst., 2022

Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation.

Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang

IEEE Trans. Cogn. Dev. Syst., 2022

Action Command Encoding for Surrogate-Assisted Neural Architecture Search.

Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin

IEEE Trans. Cogn. Dev. Syst., 2022

Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users.

Ye Tian, Maihai Sun, Shangshang Yang, Xingyi Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students.

Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation.

Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang

CoRR, 2021

2020

An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection.

Ye Tian, Shangshang Yang, Xingyi Zhang

IEEE Trans. Fuzzy Syst., 2020

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 Trans. Emerg. Top. Comput. Intell., 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

Eng. Appl. Artif. Intell., 2019

Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection.

Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Closed Itemset Property based Multi-objective Evolutionary Approach for Mining Frequent and High Utility Itemsets.

Heng Cao, Shangshang Yang, Qingren Wang, Qijun Wang, Lei Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019