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Wenjing Hong
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2020 – today
- 2024
- [j14]Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou:
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. Swarm Evol. Comput. 86: 101506 (2024) - [j13]Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang:
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. 4(3): 16:1-16:23 (2024) - [c11]Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang:
An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. CEC 2024: 1-8 - 2023
- [j12]Chengdong Ma, Jianan Liu, Saichao He, Wenjing Hong, Jia Shi:
Confrontation and Obstacle-Avoidance of Unmanned Vehicles Based on Progressive Reinforcement Learning. IEEE Access 11: 50398-50411 (2023) - [j11]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) - [j10]Wenjie Chen, Wenjing Hong, Hu Zhang, Peng Yang, Ke Tang:
Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. IEEE Trans Autom. Sci. Eng. 20(2): 1156-1169 (2023) - [j9]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) - [c10]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 - [c9]Shun Lu, Cheng Chen, Kunlong Zhang, Yang Zheng, Zheng Hu, Wenjing Hong, Guiying Li, Xin Yao:
Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks. ICSI (2) 2023: 127-138 - 2022
- [j8]Wenjing Hong, Tonglin Liu:
Faster Capacitated Arc Routing: A Sequence-to-Sequence Approach. IEEE Access 10: 4777-4785 (2022) - [j7]Rui Xu, Haojun Feng, Jia Liu, Wenjing Hong:
Dynamic Spare Point Application Based Coordination Strategy for Multi-AGV Systems in a WIP Warehouse Environment. IEEE Access 10: 80249-80263 (2022) - [j6]Hongze Wang, Xuerong Li, Wenjing Hong, Ke Tang:
Multi-objective approaches to portfolio optimization with market impact costs. Memetic Comput. 14(4): 411-421 (2022) - [c8]Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian:
Neural Network Pruning by Cooperative Coevolution. IJCAI 2022: 4814-4820 - [c7]Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian:
Robust Neural Network Pruning by Cooperative Coevolution. PPSN (1) 2022: 459-473 - [c6]Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian:
Multi-objective Evolutionary Instance Selection for Multi-label Classification. PRICAI (1) 2022: 548-561 - [c5]Ge Guo, Wenjing Hong, Chaoyong Zhou, Xin Yao:
Indicator-Aware Talking Face Generation Based on Evolutionary Multi-objective Optimization. SSCI 2022: 619-625 - [i2]Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian:
Neural Network Pruning by Cooperative Coevolution. CoRR abs/2204.05639 (2022) - [i1]Xiasheng Ma, Shengcai Liu, Wenjing Hong:
Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization. CoRR abs/2211.09498 (2022) - 2021
- [j5]Wenjing Hong, Peng Yang, Ke Tang:
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. Int. J. Autom. Comput. 18(2): 155-169 (2021) - [j4]Wenjing Hong, Chao Qian, Ke Tang:
Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. IEEE Trans. Cybern. 51(12): 6091-6104 (2021) - 2020
- [c4]Huimin Xie, Xinghai Xu, Yuling Li, Wenjing Hong, Jia Shi:
Model Predictive Control Guided Reinforcement Learning Control Scheme. IJCNN 2020: 1-8 - [c3]Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang:
Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. PPSN (1) 2020: 470-483
2010 – 2019
- 2019
- [j3]Yan Shao, Wenjing Hong, Zhanjun Li:
A New Method to Compute Ratio of Secure Summations and Its Application in Privacy Preserving Distributed Data Mining. IEEE Access 7: 20756-20766 (2019) - [j2]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) - 2018
- [c2]Wenjing Hong, Longxiang Chen:
Thermo-economic Multi-objective Optimization of Adiabatic Compressed Air Energy Storage (A-CAES) System. ICCAI 2018: 132-138 - 2016
- [j1]Wenjing Hong, Ke Tang:
Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance. Memetic Comput. 8(1): 35-44 (2016) - 2015
- [c1]Wenjing Hong, Guanzhou Lu, Peng Yang, Yong Wang, Ke Tang:
A new Evolutionary multi-objective algorithm for Convex Hull Maximization. CEC 2015: 931-938
Coauthor Index
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