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 060 (CEC, 2019)

Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. - Ye Tian 009; Shangshang Yang; Xingyi Zhang 001; Yaochu Jin (CEC, 2019)

An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns. - Lei Zhang 060; Shangshang Yang; Xinpeng Wu; Fan Cheng 001; Ying Xie 002; Zhiting Lin (Eng. Appl. Artif. Intell., 2019)

A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining. - Ye Tian 009; Shangshang Yang; Lei Zhang 060; Fuchen Duan; Xingyi Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection. - Ye Tian 009; Shangshang Yang; Xingyi Zhang 001 (IEEE Trans. Fuzzy Syst., 2020)

Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation. - Shangshang Yang; Ye Tian 009; Xiaoshu Xiang; Shichen Peng; Xingyi Zhang 001 (CoRR, 2021)

A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. - Haiping Ma; Jinwei Zhu; Shangshang Yang; Qi Liu 003; Haifeng Zhang 003; Xingyi Zhang 001; Yunbo Cao; Xuemin Zhao (CIKM, 2022)

Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users. - Ye Tian 009; Maihai Sun; Shangshang Yang; Xingyi Zhang 001 (SSCI, 2022)

Action Command Encoding for Surrogate-Assisted Neural Architecture Search. - Ye Tian 009; Shichen Peng; Shangshang Yang; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cogn. Dev. Syst., 2022)

Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation. - Shangshang Yang; Ye Tian 009; Xiaoshu Xiang; Shichen Peng; Xingyi Zhang 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. - Shangshang Yang; Ye Tian 009; Cheng He 001; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Neural Networks Learn. Syst., 2022)

EQ-Net: Elastic Quantization Neural Networks. - Ke Xu 011; Lei Han; Ye Tian 009; Shangshang Yang; Xingyi Zhang 001 (ICCV, 2023)

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing. - Shangshang Yang; Xiaoshan Yu 002; Ye Tian 009; Xueming Yan; Haiping Ma; Xingyi Zhang 001 (NeurIPS, 2023)

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search. - Shangshang Yang; Haiping Ma; Cheng Zhen; Ye Tian 009; Limiao Zhang; Yaochu Jin; Xingyi Zhang 001 (CoRR, 2023)

Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. - Ye Tian 009; Jingwen Pan; Shangshang Yang; Xingyi Zhang 001; Shuping He; Yaochu Jin (IEEE Trans. Artif. Intell., 2023)

Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. - Shangshang Yang; Haoyu Wei; Haiping Ma; Ye Tian 009; Xingyi Zhang 001; Yunbo Cao; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]. - Lei Zhang 060; Haipeng Yang; Shangshang Yang; Xingyi Zhang 001 (IEEE Comput. Intell. Mag., 2023)

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 001 (AAAI, 2024)

Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms. - Ye Tian 009; Weixin Wang; Shangshang Yang; Panpan Zhang; Xingyi Zhang 001 (CEC, 2024)

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. - Xiaoshan Yu 002; Chuan Qin 002; Dazhong Shen; Shangshang Yang; Haiping Ma; Hengshu Zhu; Xingyi Zhang 001 (KDD, 2024)

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis. - Shangshang Yang; Mingyang Chen; Ziwen Wang 006; Xiaoshan Yu 002; Panpan Zhang; Haiping Ma; Xingyi Zhang 001 (NeurIPS, 2024)

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. - Haiping Ma; Yong Yang; Chuan Qin 002; Xiaoshan Yu 002; Shangshang Yang; Xingyi Zhang 001; Hengshu Zhu (WWW, 2024)

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. - Shangshang Yang; Linrui Qin; Xiaoshan Yu 002 (CoRR, 2024)

Cross-modal hashing retrieval with compatible triplet representation. - Zhifeng Hao; Yaochu Jin; Xueming Yan; Chuyue Wang; Shangshang Yang; Hong Ge (Neurocomputing, 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., 2024)

Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search. - Shangshang Yang; Xiangkun Sun; Ke Xu 011; Yuanchao Liu; Ye Tian 009; Xingyi Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. - Changqian Wang; Shangshang Yang; Siyu Song; Ziwen Wang 006; Haiping Ma; Xingyi Zhang 001; Bo Jin (AAAI, 2025)

Surrogate Models are not Necessary for Black-Box Expensive Optimization. - Hongxiang Geng; Ye Tian 009; Shangshang Yang; Xingyi Zhang 001; Cheng He 001 (CEC, 2025)

An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization. - Chengze Sun; Ye Tian 009; Shuai Shao; Shangshang Yang; Xingyi Zhang 001 (CEC, 2025)

LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. - Xiaoshan Yu 002; Shangshang Yang; Ziwen Wang 006; Siyu Song; Haiping Ma; Zhiguang Cao; Xingyi Zhang 001 (SIGIR, 2025)

Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. - Haiping Ma; Weiyuan Zhou; Xiaoshan Yu 002; Changqian Wang; Shangshang Yang; Limiao Zhang; Xingyi Zhang 001 (SIGIR, 2025)

Varied granularity encoding based evolutionary algorithm for multi-objective intensity-modulated radiation therapy optimization. - Langchun Si; Xingyi Zhang 001; Ye Tian 009; Ruifen Cao; Shangshang Yang; Limiao Zhang (Eng. Appl. Artif. Intell., 2025)

A frequent pattern-based coevolutionary framework for multi-component spectral feature selection. - Panpan Zhang; Jing Rong; Ye Tian 009; Yajie Zhang; Shangshang Yang; Xingyi Zhang 001 (Swarm Evol. Comput., 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; et al. (CoRR, 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; et al. (CoRR, 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, 2025)

Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization. - Langchun Si; Xingyi Zhang 001; Ye Tian 009; Shangshang Yang; Limiao Zhang; Yaochu Jin (IEEE Trans. Evol. Comput., 2025)

An Efficient Sampling Approach to Offspring Generation for Evolutionary Large-Scale Constrained Multi-Objective Optimization. - Langchun Si; Xingyi Zhang 001; Yajie Zhang; Shangshang Yang; Ye Tian 009 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis. - Hao Jiang 023; Quan Zhou; Dongdong Zhao 001; Shangshang Yang; Wenjian Luo; Xingyi Zhang 001 (CoRR, 2025)

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework. - Shangshang Yang; Jialin Han; Xiaoshan Yu 002; Ziwen Wang 006; Hao Jiang 023; Haiping Ma; Xingyi Zhang 001; Geyong Min (CoRR, 2025)

Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey. - Shuai Shao; Ye Tian 009; Yajie Zhang; Shangshang Yang; Panpan Zhang; Cheng He 001; Xingyi Zhang 001; Yaochu Jin (ACM Comput. Surv., 2025)