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Qiqi Duan
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2020 – today
- 2024
- [j7]Qiqi Duan, Chang Shao, Guochen Zhou, Haobin Yang, Qi Zhao, Yuhui Shi:
Cooperative coevolution for non-separable large-scale black-box optimization: Convergence analyses and distributed accelerations. Appl. Soft Comput. 166: 112232 (2024) - [j6]Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi:
Automated Design of Metaheuristic Algorithms: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Qiqi Duan, Chang Shao, Guochen Zhou, Minghan Zhang, Qi Zhao, Yuhui Shi:
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization. IEEE Trans. Parallel Distributed Syst. 35(11): 2087-2101 (2024) - [c19]Yajing Tan, Yuwei Huang, Qiqi Duan, Yijun Yang, Yuhui Shi:
Distributed Population-Based Simultaneous Perturbation Stochastic Approximation for Fine-Tuning Large Language Models. PRICAI (3) 2024: 21-26 - [i6]Qi Zhao, Tengfei Liu, Bai Yan, Qiqi Duan, Jian Yang, Yuhui Shi:
Automated Metaheuristic Algorithm Design with Autoregressive Learning. CoRR abs/2405.03419 (2024) - 2023
- [i5]Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi:
A Survey on Automated Design of Metaheuristic Algorithms. CoRR abs/2303.06532 (2023) - [i4]Qiqi Duan, Chang Shao, Guochen Zhou, Haobin Yang, Qi Zhao, Yuhui Shi:
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations. CoRR abs/2304.05020 (2023) - [i3]Qiqi Duan, Chang Shao, Guochen Zhou, Qi Zhao, Yuhui Shi:
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization. CoRR abs/2310.05377 (2023) - 2022
- [c18]Yijun Yang, Jing Jiang, Zhuowei Wang, Qiqi Duan, Yuhui Shi:
BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning. AI 2022: 570-581 - [c17]Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang, Yuhui Shi:
Distributed evolution strategies for large-scale optimization. GECCO Companion 2022: 395-398 - [c16]Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang, Yuhui Shi:
Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization. PPSN (2) 2022: 281-294 - [i2]Qiqi Duan, Guochen Zhou, Chang Shao, Zhuowei Wang, Mingyang Feng, Yijun Yang, Qi Zhao, Yuhui Shi:
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization. CoRR abs/2212.05652 (2022) - 2021
- [j4]Ben Niu, Qiqi Duan, Hong Wang, Jing Liu:
Simplified bacterial foraging optimization with quorum sensing for global optimization. Int. J. Intell. Syst. 36(6): 2639-2679 (2021) - [c15]Youkui Zhang, Qiqi Duan, Chang Shao, Yuhui Shi:
Parallel Population-Based Simulated Annealing for High-Dimensional Black-Box Optimization. SSCI 2021: 1-7 - [c14]Youkui Zhang, Liang Zhang, Qiqi Duan, Yuhui Shi:
BSO-ES: A Hybrid Direct Policy Search Algorithm for Reinforcement Learning. SSCI 2021: 1-6 - 2020
- [c13]Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi:
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy. ICSI 2020: 243-250 - [c12]Gao Li, Qiqi Duan, Yuhui Shi:
A Parallel Evolutionary Algorithm with Value Decomposition for Multi-agent Problems. ICSI 2020: 616-627 - [c11]Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi:
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW 2020: 3026-3032
2010 – 2019
- 2019
- [c10]Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu:
When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. CEC 2019: 721-730 - [c9]Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. ICONIP (1) 2019: 327-339 - [c8]Qiqi Duan, Liang Qu, Chang Shao, Yuhui Shi:
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization. SSCI 2019: 2690-2697 - [i1]Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. CoRR abs/1901.10234 (2019) - 2018
- [c7]Qiqi Duan, Lijun Sun, Yuhui Shi:
Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization. PPSN (1) 2018: 424-435 - 2017
- [j3]Ben Niu, Qiqi Duan, Jing Liu, Lijing Tan, Yanmin Liu:
A population-based clustering technique using particle swarm optimization and k-means. Nat. Comput. 16(1): 45-59 (2017) - [j2]Ben Niu, Huali Huang, Lijing Tan, Qiqi Duan:
Symbiosis-Based Alternative Learning Multi-Swarm Particle Swarm Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 4-14 (2017) - [c6]Shi Cheng, Lantian Guo, Tao Yang, Jiqiang Feng, Yifei Sun, Chang Shao, Qiqi Duan:
Cloud Service Resource Allocation with Particle Swarm Optimization Algorithm. BIC-TA 2017: 523-532 - [c5]Qiqi Duan, Chang Shao, Xiaodong Li, Yuhui Shi:
Visualizing the Search Dynamics in a High-Dimensional Space for a Particle Swarm Optimizer. SEAL 2017: 994-1002 - 2015
- [c4]Ben Niu, Qiqi Duan, Lijing Tan, Chao Liu, Ping Liang:
A Population-Based Clustering Technique Using Particle Swarm Optimization and K-Means. ICSI (1) 2015: 145-152 - 2014
- [c3]Ben Niu, Ting Xie, Qiqi Duan, Lijing Tan:
Particle swarm optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem. IEEE Congress on Evolutionary Computation 2014: 634-639 - [c2]Lijing Tan, Ben Niu, Hong Wang, Huali Huang, Qiqi Duan:
Bacterial Foraging Optimization with Neighborhood Learning for Dynamic Portfolio Selection. ICIC (3) 2014: 413-423 - 2013
- [j1]Ben Niu, Hong Wang, Qiqi Duan, Li Li:
Biomimicry of quorum sensing using bacterial lifecycle model. BMC Bioinform. 14(S-8): S8 (2013) - [c1]Ben Niu, Qiqi Duan, Jing J. Liang:
Hybrid Bacterial Foraging Algorithm for Data Clustering. IDEAL 2013: 577-584
Coauthor Index
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last updated on 2024-12-08 02:24 CET by the dblp team
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