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Yongfan Lu, Bingdong Li, Aimin Zhou: Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization. AAAI 2024: 14202-14210
Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou: Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. AAAI 2024: 14928-14936
Chengyi Yang, Jiayin Qi, Aimin Zhou: Wasserstein Differential Privacy. AAAI 2024: 16299-16307
Xinhao Chen, Chong Yang, Changzhi Sun, Man Lan, Aimin Zhou: From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation. AAAI 2024: 17790-17798
Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou: Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. CoRR abs/2401.10840 (2024)
Chengyi Yang, Jiayin Qi, Aimin Zhou: Wasserstein Differential Privacy. CoRR abs/2401.12436 (2024)
Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He: Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR abs/2403.09717 (2024)
Jinyan Ouyang, Lingwan Huang, Rui Zhang, Jian Ma, Jianning Su, Shutao Zhang, Aimin Zhou: Optimization Design of Product Form Driven by Image Cognitive Friction. IEEE Access 11: 124278-124294 (2023)
Ming Yang, Jie Gao, Aimin Zhou, Changhe Li, Xin Yao: Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 18(3): 56-68 (2023)
Shuai Wang, Aimin Zhou, Guixu Zhang, Faming Fang: Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach. IEEE Comput. Intell. Mag. 18(4): 29-42 (2023)
Ting Wu, Hong Qian, Ziqi Liu, Jun Zhou, Aimin Zhou: Bi-objective evolutionary Bayesian network structure learning via skeleton constraint. Frontiers Comput. Sci. 17(6): 176350 (2023)
Yan Zhang, Bingdong Li, Wenjing Hong, Aimin Zhou: MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies. Neurocomputing 562: 126892 (2023)
Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang: Differential evolution guided by approximated Pareto set for multiobjective optimization. Inf. Sci. 630: 669-687 (2023)
Shuai Wang, Bingdong Li, Aimin Zhou: A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization. Swarm Evol. Comput. 78: 101261 (2023)
Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou: A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization. Swarm Evol. Comput. 83: 101377 (2023)
Feng Liu, Hanyang Wang, Siyuan Shen, Xun Jia, Jingyi Hu, Jia-Hao Zhang, Xi-Yi Wang, Ying Lei, Aimin Zhou, Jia-Yin Qi, Zhi-Bin Li: OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach. IEEE Trans. Comput. Soc. Syst. 10(4): 1813-1825 (2023)
Zihan Wang, Bochao Mao, Hao Hao, Wenjing Hong, Chunyun Xiao, Aimin Zhou: Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(5): 1456-1469 (2023)
Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, Wei Zhang: Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing. ACM Trans. Inf. Syst. 41(4): 104:1-104:26 (2023)
Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou: High-Dimensional Dueling Optimization with Preference Embedding. AAAI 2023: 11280-11288
Hanyang Wang, Bo Li, Shuang Wu, Siyuan Shen, Feng Liu, Shouhong Ding, Aimin Zhou: Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition. CVPR 2023: 17958-17968
Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou: QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. ECAI 2023: 1536-1543
Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu: Degradation-Resistant Offline Optimization via Accumulative Risk Control. ECAI 2023: 1609-1616
Hao Hao, Aimin Zhou: A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. EMO 2023: 205-217
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang: Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50
Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou: RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. GECCO 2023: 722-730
Siyuan Shen, Feng Liu, Aimin Zhou: Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-Trained Representations. ICASSP 2023: 1-5
Hongyi Wu, Xinshu Shen, Man Lan, Xiaopeng Bai, Yuanbin Wu, Aimin Zhou, Shaoguang Mao, Tao Ge, Yan Xia: Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation. NLPCC (3) 2023: 292-301
Siyuan Shen, Feng Liu, Aimin Zhou: Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations. CoRR abs/2302.13277 (2023)
Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou: Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search. CoRR abs/2303.15821 (2023)
Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu: EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. CoRR abs/2308.02773 (2023)
Hao Hao, Xiaoqun Zhang, Aimin Zhou: Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization. CoRR abs/2309.11994 (2023)
Yan Zhang, Hao Hao, Xiao He, Shuanhu Gao, Aimin Zhou: Evolutionary Retrosynthetic Route Planning. CoRR abs/2310.05186 (2023)
Yufang Liu, Changzhi Sun, Yuanbin Wu, Aimin Zhou: Unlearning with Fisher Masking. CoRR abs/2310.05331 (2023)
Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He: Mathematical Language Models: A Survey. CoRR abs/2312.07622 (2023)
Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang: Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. CoRR abs/2312.10045 (2023)
Wanpeng Zhang, Shuai Wang, Aimin Zhou, Hu Zhang: A practical regularity model based evolutionary algorithm for multiobjective optimization. Appl. Soft Comput. 129: 109614 (2022)
Feng Liu, Siyuan Shen, Ziwang Fu, Hanyang Wang, Aimin Zhou, Jia-Yin Qi: LGCCT: A Light Gated and Crossed Complementation Transformer for Multimodal Speech Emotion Recognition. Entropy 24(7): 1010 (2022)
Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan: CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203: 117397 (2022)
Feng Liu, Hanyang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li: EvoGAN: An evolutionary computation assisted GAN. Neurocomputing 469: 81-90 (2022)
Ying Qian, Xuelian Li, Jian Wu, Aimin Zhou, Zhijian Xu, Qian Zhang: Picture-word order compound protein interaction: Predicting compound-protein interaction using structural images of compounds. J. Comput. Chem. 43(4): 255-264 (2022)
Ying Qian, Xuelian Li, Jian Wu, Aimin Zhou, Zhijian Xu, Qian Zhang: Cover Image. J. Comput. Chem. 43(4): i (2022)
Qing Xu, Feng Liu, Ziwang Fu, Aimin Zhou, Jiayin Qi: AeS-GCN: Attention-enhanced semantic-guided graph convolutional networks for skeleton-based action recognition. Comput. Animat. Virtual Worlds 33(3-4) (2022)
Feng Liu, Deli Kong, Jinhua Kong, Shiying Lu, Zilong Xiao, Qing Xu, Aimin Zhou, Jiayin Qi: Pandemic Bonds Issued by the Chinese Government Supported Post-Disaster Recovery from COVID-19 Pandemic. J. Soc. Comput. 3(2): 158-170 (2022)
Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang: PS-Tree: A piecewise symbolic regression tree. Swarm Evol. Comput. 71: 101061 (2022)
Hengzhe Zhang, Aimin Zhou, Hu Zhang: An Evolutionary Forest for Regression. IEEE Trans. Evol. Comput. 26(4): 735-749 (2022)
Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang: Expensive Multiobjective Optimization by Relation Learning and Prediction. IEEE Trans. Evol. Comput. 26(5): 1157-1170 (2022)
Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou: A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization. CEC 2022: 1-8
Ziwang Fu, Feng Liu, Qing Xu, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li: NHFNET: A Non-Homogeneous Fusion Network for Multimodal Sentiment Analysis. ICME 2022: 1-6
Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu: The Teaching Dimension of Regularized Kernel Learners. ICML 2022: 17984-18002
Zihan Wang, Chunyun Xiao, Aimin Zhou: An Exact Inverted Generational Distance for Continuous Pareto Front. PPSN (2) 2022: 96-109
Aimin Zhou, Hongbin Liu, Shutao Zhang, Jinyan Ouyang: Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning. IEEE Access 9: 108992-109003 (2021)
Shutao Zhang, Shijie Wang, Aimin Zhou, Shifeng Liu, Jianning Su: Cognitive Matching of Design Subjects in Product Form Evolutionary Design. Comput. Intell. Neurosci. 2021: 8456736:1-8456736:23 (2021)
Qinyan Dai, Faming Fang, Juncheng Li, Guixu Zhang, Aimin Zhou: Edge-guided Composition Network for Image Stitching. Pattern Recognit. 118: 108019 (2021)
Cong Liu, Tingting Bian, Aimin Zhou: Multiobjective multiple features fusion: A case study in image segmentation. Swarm Evol. Comput. 60: 100792 (2021)
Feng Wang, Heng Zhang, Aimin Zhou: A particle swarm optimization algorithm for mixed-variable optimization problems. Swarm Evol. Comput. 60: 100808 (2021)
Yi Chen, Aimin Zhou, Swagatam Das: Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization. Swarm Evol. Comput. 66: 100928 (2021)
Ming Yang, Aimin Zhou, Changhe Li, Xin Yao: An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Trans. Evol. Comput. 25(1): 159-171 (2021)
Ting Wu, Hong Qian, Aimin Zhou, Zhenzi Li: Bi-Objective Search Method for Bayesian Network Structure Learning. CCIS 2021: 433-437
Hao Hao, Aimin Zhou, Hu Zhang: An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization. CEC 2021: 2427-2434
Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray: A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO 2021: 283-295
Hengzhe Zhang, Aimin Zhou: RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. IJCNN 2021: 1-8
Ziwang Fu, Feng Liu, Jiahao Zhang, Hanyang Wang, Chengyi Yang, Qing Xu, Jiayin Qi, Xiangling Fu, Aimin Zhou: SAGN: Semantic Adaptive Graph Network for Skeleton-Based Human Action Recognition. ICMR 2021: 110-117
Jiahao Zhang, Feng Liu, Aimin Zhou: Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism. PRICAI (1) 2021: 266-279
Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou: Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents]
Yi Chen, Aimin Zhou: Variable Division and Optimization for Constrained Multiobjective Portfolio Problems. CoRR abs/2101.08552 (2021)
Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang: Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness. CoRR abs/2106.02867 (2021)
Feng Liu, Hanyang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li: EvoGAN: An Evolutionary Computation Assisted GAN. CoRR abs/2110.11583 (2021)
Ziwang Fu, Feng Liu, Hanyang Wang, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li: A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition. CoRR abs/2111.02172 (2021)
Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou: LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences. CoRR abs/2112.01697 (2021)
Tonglin Liu, Hengzhe Zhang, Hu Zhang, Aimin Zhou: Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming. IEEE Access 8: 74782-74792 (2020)
Aimin Zhou, Jinyan Ouyang, Jianning Su, Shutao Zhang, Shutian Yan: Multimodal optimisation design of product forms based on aesthetic evaluation. Int. J. Arts Technol. 12(2): 128-154 (2020)
Aimin Zhou, Yirui Wang, Jinyuan Zhang: Objective extraction via fuzzy clustering in evolutionary many-objective optimization. Inf. Sci. 509: 343-355 (2020)
Ming Yang, Aimin Zhou, Changhe Li, Jing Guan, Xuesong Yan: CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. Inf. Sci. 512: 64-79 (2020)
Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou: Adaptive population structure learning in evolutionary multi-objective optimization. Soft Comput. 24(13): 10025-10042 (2020)
Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang: An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. IEEE Trans. Evol. Comput. 24(3): 479-493 (2020)
Hao Hao, Jinyuan Zhang, Xiaofen Lu, Aimin Zhou: Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(6): 1125-1139 (2020)
Wenyue Hu, Aimin Zhou, Guixu Zhang: A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning. IJCNN 2020: 1-7
Hu Zhang, Hengzhe Zhang, Aimin Zhou: A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. SMC 2020: 585-591
Xinyi Zeng, Qian Zhang, Jia Chen, Guixu Zhang, Aimin Zhou, Yiqin Wang: Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation. CoRR abs/2003.06529 (2020)
Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang: Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray. CoRR abs/2012.15442 (2020)
Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Pengcheng Sheng: On Balancing Neighborhood and Global Replacement Strategies in MOEA/D. IEEE Access 7: 45274-45290 (2019)
Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou, Peng Wu: A Spectral Clustering-Based Multi-Source Mating Selection Strategy in Evolutionary Multi-Objective Optimization. IEEE Access 7: 131851-131864 (2019)
Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang: A new learning-based adaptive multi-objective evolutionary algorithm. Swarm Evol. Comput. 44: 304-319 (2019)
Maoguo Gong, Aimin Zhou, A. Kai Qin, Linqiang Pan: Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47: 1-2 (2019)
Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao: A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019)
Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang, Zhenbiao Tu, Kai Ye: Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 23(4): 541-555 (2019)
Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang: Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. AAAI 2019: 2403-2410
Yingxia Chen, Cong Liu, Aimin Zhou, Guixu Zhang: MIHS: A Multiobjective Pan-sharpening Method for Remote Sensing Images. CEC 2019: 1068-1073
Yi Chen, Aimin Zhou: MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-Objective Portfolio Optimization. CEC 2019: 1742-1749
Aimin Zhou, Haoying Zhao, Hu Zhang, Guixu Zhang: Pareto Optimal Set Approximation by Models: A Linear Case. EMO 2019: 451-462
Dedong Li, Aimin Zhou, Chuan Shi: NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. PAKDD (3) 2019: 15-26
Yi Chen, Aimin Zhou, Swagatam Das: A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization. CoRR abs/1909.08748 (2019)
Jinyuan Zhang, Aimin Zhou, Guixu Zhang: Preselection via classification: a case study on global optimisation. Int. J. Bio Inspired Comput. 11(4): 267-281 (2018)
Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang: Preselection via classification: A case study on evolutionary multiobjective optimization. Inf. Sci. 465: 388-403 (2018)
Hui Fang, Aimin Zhou, Hu Zhang: Information fusion in offspring generation: A case study in DE and EDA. Swarm Evol. Comput. 42: 99-108 (2018)
Jianyong Sun, Aimin Zhou, Simeon Keates, Shengbin Liao: Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1187-1199 (2018)
Xiaoji Chen, Chuan Shi, Aimin Zhou, Siyong Xu, Bin Wu: A Hybrid Replacement Strategy for MOEA/D. BIC-TA (1) 2018: 246-262
Yi Chen, Aimin Zhou, Liang Dou: An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problems. GECCO (Companion) 2018: 247-248
Jinyuan Zhang, Aimin Zhou, Guixu Zhang: Preselection via one-class classification for evolutionary optimization. GECCO (Companion) 2018: 259
Yanfeng Liu, Aimin Zhou, Hu Zhang: Termination detection strategies in evolutionary algorithms: a survey. GECCO 2018: 1063-1070
Hao Hao, Jinyuan Zhang, Aimin Zhou: A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization. ICIC (2) 2018: 717-728
Hanwei Zhang, Aimin Zhou: Tree-Structured Decomposition and Adaptation in MOEA/D. PPSN (1) 2018: 359-371
Jinwei Lin, Aimin Zhou: PyDraw: a GUI drawing generator based on Tkinter and its design concept. CoRR abs/1808.09094 (2018)
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