Qiqi Duan

According to our database1, Qiqi Duan authored at least 26 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization.
CoRR, 2023

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations.
CoRR, 2023

A Survey on Automated Design of Metaheuristic Algorithms.
CoRR, 2023

2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization.
CoRR, 2022

Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Distributed evolution strategies for large-scale optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Simplified bacterial foraging optimization with quorum sensing for global optimization.
Int. J. Intell. Syst., 2021

BSO-ES: A Hybrid Direct Policy Search Algorithm for Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Parallel Population-Based Simulated Annealing for High-Dimensional Black-Box Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020

A Parallel Evolutionary Algorithm with Value Decomposition for Multi-agent Problems.
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020

2019
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Representation Learning for Heterogeneous Information Networks via Embedding Events.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017
Symbiosis-Based Alternative Learning Multi-Swarm Particle Swarm Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

A population-based clustering technique using particle swarm optimization and k-means.
Nat. Comput., 2017

Visualizing the Search Dynamics in a High-Dimensional Space for a Particle Swarm Optimizer.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Cloud Service Resource Allocation with Particle Swarm Optimization Algorithm.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2015
A Population-Based Clustering Technique Using Particle Swarm Optimization and K-Means.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2014
Bacterial Foraging Optimization with Neighborhood Learning for Dynamic Portfolio Selection.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Particle swarm optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Biomimicry of quorum sensing using bacterial lifecycle model.
BMC Bioinform., 2013

Hybrid Bacterial Foraging Algorithm for Data Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013


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