Shangshang Yang

66 papers A* 12A 1B 6Journal 43Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective.
KDD (1)
Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang
2026 J jnl
Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective.
CoRR
Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang
2026 J jnl
Causal Federated Graph Neural Networks for Multiobjective Facility Location.
IEEE Trans. Syst. Man Cybern. Syst.
Xueming Yan, Yaochu Jin, Chuyue Wang, Shangshang Yang
2026 A* conf
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder.
AAAI
Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026 J jnl
Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization.
CoRR
Shuai Shao, Ye Tian, Shangshang Yang, Xingyi Zhang
2026 J jnl
General Convergence Rates by the Delayed Sums Method.
Axioms
Cheng Hu, Shangshang Yang, Tonghui Wang
2026 A* conf
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing.
AAAI
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026 J jnl
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware General Neural Network Framework.
ACM Trans. Intell. Syst. Technol.
Ziwen Wang, Jingyuan Wang, Haiping Ma, Hengshu Zhu, Shangshang Yang, Xiaoshan Yu, Shuhuan Liu, Haifeng Zhang, Xingyi Zhang
2026 J jnl
Reinforcement learning assisted sparse population coevolutionary algorithm for multi-component spectral feature selection.
Swarm Evol. Comput.
Panpan Zhang, Yilan He, Jing Rong, Ye Tian, Yajie Zhang, Shangshang Yang, Xing-yi Zhang
2026 J jnl
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions.
CoRR
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2025 J jnl
A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis.
CoRR
Hao Jiang, Quan Zhou, Dongdong Zhao, Shangshang Yang, Wenjian Luo, Xingyi Zhang
2025 J jnl
A frequent pattern-based coevolutionary framework for multi-component spectral feature selection.
Swarm Evol. Comput.
Panpan Zhang, Jing Rong, Ye Tian, Yajie Zhang, Shangshang Yang, Xingyi Zhang
2025 B conf
An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization.
CEC
Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang
2025 J jnl
An Efficient Sampling Approach to Offspring Generation for Evolutionary Large-Scale Constrained Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Langchun Si, Xingyi Zhang, Yajie Zhang, Shangshang Yang, Ye Tian
2025 J jnl
An Evolutionary Multiobjective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education.
IEEE Trans. Evol. Comput.
Shangshang Yang, Haiping Ma, Ying Bi, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
2025 B conf
Cascade Adversarial Attack Search.
IJCNN
Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian
2025 A* conf
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.
IJCAI
Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian
2025 J jnl
Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey.
ACM Comput. Surv.
Shuai Shao, Ye Tian, Yajie Zhang, Shangshang Yang, Panpan Zhang, Cheng He, Xingyi Zhang, Yaochu Jin
2025 A* conf
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing.
AAAI
Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin
2025 J jnl
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework.
CoRR
Shangshang Yang, Jialin Han, Xiaoshan Yu, Ziwen Wang, Hao Jiang, Haiping Ma, Xingyi Zhang, Geyong Min
2025 J jnl
Generating time-consistent dynamics with discriminator-guided image diffusion models.
CoRR
Philipp Hess, Maximilian Gelbrecht, Christof Schötz, Michael Aich, Yu Huang, Shangshang Yang, Niklas Boers
2025 J jnl
Generative assimilation and prediction for weather and climate.
CoRR
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
2025 A* conf
LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization.
SIGIR
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang
2025 — conf
Learning Patterns-Guided Data Generation for Knowledge Tracing.
KDD (2)
Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang
2025 J jnl
Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Langchun Si, Xingyi Zhang, Ye Tian, Shangshang Yang, Limiao Zhang, Yaochu Jin
2025 J jnl
Neural Network-Based Dimensionality Reduction for Large-Scale Binary Optimization With Millions of Variables.
IEEE Trans. Evol. Comput.
Ye Tian, Luchen Wang, Shangshang Yang, Jinliang Ding, Yaochu Jin, Xingyi Zhang
2025 J jnl
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing.
CoRR
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2025 A* conf
Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing.
SIGIR
Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang
2025 — conf
Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective.
KDD (2)
Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang
2025 J jnl
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast.
CoRR
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
2025 B conf
Surrogate Models are not Necessary for Black-Box Expensive Optimization.
CEC
Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He
2025 J jnl
Varied granularity encoding based evolutionary algorithm for multi-objective intensity-modulated radiation therapy optimization.
Eng. Appl. Artif. Intell.
Langchun Si, Xingyi Zhang, Ye Tian, Ruifen Cao, Shangshang Yang, Limiao Zhang
2024 J jnl
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems.
IEEE Trans. Evol. Comput.
Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin
2024 J jnl
Cross-modal hashing retrieval with compatible triplet representation.
Neurocomputing
Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge
2024 A* conf
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.
NeurIPS
Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
2024 J jnl
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.
CoRR
Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
2024 J jnl
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.
CoRR
Shangshang Yang, Linrui Qin, Xiaoshan Yu
2024 A* conf
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.
AAAI
Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang
2024 A* conf
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
WWW
Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu
2024 J jnl
Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search.
IEEE Trans. Emerg. Top. Comput. Intell.
Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian, Xingyi Zhang
2024 J jnl
Moboa: a proposal for multiple objective bean optimization algorithm.
Complex Intell. Syst.
Lele Xie, Xiaoli Lu, Hang Liu, Yongqiang Hu, Xiaoming Zhang, Shangshang Yang
2024 B conf
Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms.
CEC
Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang
2024 A* conf
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
KDD
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024 J jnl
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
CoRR
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2023 J jnl
A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier].
IEEE Comput. Intell. Mag.
Lei Zhang, Haipeng Yang, Shangshang Yang, Xingyi Zhang
2023 J jnl
A novel computerized adaptive testing framework with decoupled learning selector.
Complex Intell. Syst.
Haiping Ma, Yi Zeng, Shangshang Yang, Chuan Qin, Xingyi Zhang, Limiao Zhang
2023 J jnl
Architecture entropy sampling-based evolutionary neural architecture search and its application in osteoporosis diagnosis.
Complex Intell. Syst.
Jianjun Chu, Xiaoshan Yu, Shangshang Yang, Jianfeng Qiu, Qijun Wang
2023 J jnl
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin
2023 J jnl
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search.
CoRR
Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
2023 A* conf
EQ-Net: Elastic Quantization Neural Networks.
ICCV
Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang
2023 J jnl
EQ-Net: Elastic Quantization Neural Networks.
CoRR
Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang
2023 J jnl
Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach.
CoRR
Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang
2023 A* conf
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
NeurIPS
Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
2023 J jnl
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
CoRR
Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
2023 J jnl
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm.
IEEE Trans. Artif. Intell.
Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin
2022 J jnl
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 A conf
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students.
CIKM
Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao
2022 J jnl
Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation.
IEEE Trans. Cogn. Dev. Syst.
Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang
2022 J jnl
Action Command Encoding for Surrogate-Assisted Neural Architecture Search.
IEEE Trans. Cogn. Dev. Syst.
Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 — conf
Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users.
SSCI
Ye Tian, Maihai Sun, Shangshang Yang, Xingyi Zhang
2021 J jnl
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation.
CoRR
Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang
2020 J jnl
An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection.
IEEE Trans. Fuzzy Syst.
Ye Tian, Shangshang Yang, Xingyi Zhang
2019 B conf
A Closed Itemset Property based Multi-objective Evolutionary Approach for Mining Frequent and High Utility Itemsets.
CEC
Heng Cao, Shangshang Yang, Qingren Wang, Qijun Wang, Lei Zhang
2019 J jnl
A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining.
IEEE Trans. Emerg. Top. Comput. Intell.
Ye Tian, Shangshang Yang, Lei Zhang, Fuchen Duan, Xingyi Zhang
2019 J jnl
An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns.
Eng. Appl. Artif. Intell.
Lei Zhang, Shangshang Yang, Xinpeng Wu, Fan Cheng, Ying Xie, Zhiting Lin
2019 B conf
Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection.
CEC
Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin