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2020 – today
- 2025
[j17]Shuai Shao
, Ye Tian, Yajie Zhang, Shangshang Yang, Panpan Zhang, Cheng He, Xingyi Zhang, Yaochu Jin:
Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey. ACM Comput. Surv. 57(11): 289:1-289:35 (2025)- [j16]Langchun Si, Xingyi Zhang, Ye Tian, Ruifen Cao, Shangshang Yang, Limiao Zhang:
Varied granularity encoding based evolutionary algorithm for multi-objective intensity-modulated radiation therapy optimization. Eng. Appl. Artif. Intell. 157: 111193 (2025) - [j15]Panpan Zhang, Jing Rong, Ye Tian, Yajie Zhang, Shangshang Yang, Xingyi Zhang:
A frequent pattern-based coevolutionary framework for multi-component spectral feature selection. Swarm Evol. Comput. 98: 102077 (2025) - [j14]Langchun Si, Xingyi Zhang, Ye Tian, Shangshang Yang, Limiao Zhang, Yaochu Jin:
Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(3): 697-710 (2025) - [j13]Langchun Si, Xingyi Zhang, Yajie Zhang, Shangshang Yang, Ye Tian:
An Efficient Sampling Approach to Offspring Generation for Evolutionary Large-Scale Constrained Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2080-2092 (2025) - [c20]Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin:
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. AAAI 2025: 12685-12693 - [c19]Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He:
Surrogate Models are not Necessary for Black-Box Expensive Optimization. CEC 2025: 1-9 - [c18]Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang:
An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization. CEC 2025: 1-8 - [c17]Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian:
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. IJCAI 2025: 7894-7903 - [c16]Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian:
Cascade Adversarial Attack Search. IJCNN 2025: 1-9 - [c15]Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang:
Learning Patterns-Guided Data Generation for Knowledge Tracing. KDD (2) 2025: 2031-2041 - [c14]Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang:
Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. KDD (2) 2025: 3657-3668 - [c13]Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang:
LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. SIGIR 2025: 306-315 - [c12]Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang:
Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. SIGIR 2025: 1044-1054 - [i13]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:
Generative assimilation and prediction for weather and climate. CoRR abs/2503.03038 (2025) - [i12]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:
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast. CoRR abs/2505.04396 (2025) - [i11]Philipp Hess, Maximilian Gelbrecht, Christof Schötz, Michael Aich, Yu Huang, Shangshang Yang, Niklas Boers:
Generating time-consistent dynamics with discriminator-guided image diffusion models. CoRR abs/2505.09089 (2025) - [i10]Hao Jiang, Quan Zhou, Dongdong Zhao, Shangshang Yang, Wenjian Luo, Xingyi Zhang:
A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis. CoRR abs/2507.17180 (2025) - [i9]Shangshang Yang, Jialin Han, Xiaoshan Yu, Ziwen Wang, Hao Jiang, Haiping Ma, Xingyi Zhang, Geyong Min:
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework. CoRR abs/2508.01296 (2025) - 2024
- [j12]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j11]Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin:
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Trans. Evol. Comput. 28(4): 1039-1053 (2024) - [j10]Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian, Xingyi Zhang:
Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2919-2934 (2024) - [c11]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. AAAI 2024: 8877-8885 - [c10]Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang:
Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms. CEC 2024: 1-8 - [c9]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. KDD 2024: 4047-4058 - [c8]Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang:
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis. NeurIPS 2024 - [c7]Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu:
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. WWW 2024: 4479-4488 - [i8]Shangshang Yang, Linrui Qin, Xiaoshan Yu:
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. CoRR abs/2405.14399 (2024) - [i7]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. CoRR abs/2406.12465 (2024) - [i6]Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang:
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis. CoRR abs/2410.17564 (2024) - 2023
- [j9]Lei Zhang, Haipeng Yang, Shangshang Yang, Xingyi Zhang:
A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]. IEEE Comput. Intell. Mag. 18(3): 69-86 (2023) - [j8]Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin:
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. IEEE Trans. Artif. Intell. 4(2): 268-281 (2023) - [j7]Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin:
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 829-844 (2023) - [c6]Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang:
EQ-Net: Elastic Quantization Neural Networks. ICCV 2023: 1505-1514 - [c5]Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang:
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing. NeurIPS 2023 - [i5]Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang:
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search. CoRR abs/2307.04429 (2023) - [i4]Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang:
EQ-Net: Elastic Quantization Neural Networks. CoRR abs/2308.07650 (2023) - [i3]Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang:
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing. CoRR abs/2310.01180 (2023) - [i2]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. CoRR abs/2312.10110 (2023) - 2022
- [j6]Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Trans. Cogn. Dev. Syst. 14(3): 1129-1142 (2022) - [j5]Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang:
Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation. IEEE Trans. Cogn. Dev. Syst. 14(4): 1778-1792 (2022) - [j4]Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4861-4875 (2022) - [c4]Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao:
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. CIKM 2022: 4304-4308 - [c3]Ye Tian, Maihai Sun, Shangshang Yang, Xingyi Zhang:
Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users. SSCI 2022: 6-13 - 2021
- [i1]Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang:
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation. CoRR abs/2108.04541 (2021) - 2020
- [j3]Ye Tian, Shangshang Yang, Xingyi Zhang:
An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection. IEEE Trans. Fuzzy Syst. 28(11): 2841-2855 (2020)
2010 – 2019
- 2019
- [j2]Lei Zhang, Shangshang Yang, Xinpeng Wu, Fan Cheng, Ying Xie, Zhiting Lin:
An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns. Eng. Appl. Artif. Intell. 77: 9-20 (2019) - [j1]Ye Tian, Shangshang Yang, Lei Zhang, Fuchen Duan, Xingyi Zhang:
A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining. IEEE Trans. Emerg. Top. Comput. Intell. 3(2): 106-116 (2019) - [c2]Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin:
Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. CEC 2019: 1710-1717 - [c1]Heng Cao, Shangshang Yang, Qingren Wang, Qijun Wang, Lei Zhang:
A Closed Itemset Property based Multi-objective Evolutionary Approach for Mining Frequent and High Utility Itemsets. CEC 2019: 3356-3363
Coauthor Index
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last updated on 2025-12-24 23:54 CET by the dblp team
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