About

Qiqi Duan

My long-term research goal is to build (fully open-source, multi-level evolved, self-adaptive, open-ended) distributed neural-computing systems for recursively self-improving AI, bio-inspired Intelligent Machines (intelligent robots with meta-learning and continual learning), self-replicating Artificial Life, and hierarchically emerging Swarm Intelligence.

Open-Source Software (OSS) for Population-Based Optimization (PBO)

• [2024] One MLOSS Paper on JMLR (CCF-A):
  • PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
  • With Ph.D. Guochen Zhou and Ph.D. Chang Shao, Ph.D. Yijun Yang (Tencent Inc.), etc.
  • Applications & Citations (to name a few):
    • [Veenstra et al., Nature, 2025]
  • 

For this research direction OSS, the following journals/conferences are focused on (just to name a few):

• ACM Transactions on Mathematical Software
• Journal of Statistical Software
• Operations Research (Data, Software, and Computation)
• INFORMS Journal on Computing (Software Tools)
• Journal of Open Source Software
• Journal of Open Research Software
• Neural Information Processing Systems Track on Datasets and Benchmarks
• ACM GECCO (SESSION: Benchmarking, Benchmarks, Software and Reproducibility)

Distributed Meta-Evolutionary Algorithms (DMEA)

• [2025] A Speaker on LEAD (Workshop on Learning-assisted Evolutionary Algorithm Design):
  • In Chinese: LEAD
• [2025] A Tutorial on IEEE-CEC:
  • Meta-Evolution: Biological Backgrounds, Design Principles, Meta-Diversity, and Distributed Implementations
  • With Prof. Yuhui Shi, Dr. Qi Zhao, and Dr. Lijun Sun
  • Thanks very much to Prof. Wei-neng Chen and Prof. Sanaz Mostaghim (As Tutorial Chairs)
• [2024] One Full Paper on TPDS (CCF-A):
  • Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization
• [2024] One Full Paper on ASOC (JCR-Q1), Which Mainly Extended One IEEE-CEC Paper in 2019:
  • Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
• [2022] Best Paper Nomination for One Full Paper on PPSN (CCF-B):
  • Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization
• [2022] A Companion Paper on ACM-GECCO:
  • Distributed Evolution Strategies for Large-Scale Optimization
• [2021 - 2023] Core Member of Shenzhen Fundamental Research Program:
  • For Distributed Evolutionary Algorithms (DEA)
  • A total of 2,000,000 Yuan (to my Ph.D. Advisor in SUSTech)

Distributed Swarm Intelligence (DSI)

• [2021] Co-Chair of Session SIS1/SIS2/SIS3/SIS4 in IEEE SSCI:
  • With Prof. Sanaz Mostaghim

As a Tutorial Organizer (From 2026)

• Multi-Scale Swarm Intelligence and Meta-Evolutionary Computation: A Unified Perspective: ICSI 2026, Chengdu, China

As a PC Member (From 2026)

• IJCAI - International Joint Conferences on Artificial Intelligence (CCF-A): ECAI, Bremen, Germany (2026)
• PPSN - International Conferences on Parallel Problem Solving From Nature (CCF-B): Trento, Italy (2026)
• International Conference on Swarm Intelligence (ANTS): Darmstadt, Germany (2026)
• ALIFE - Artificial Life Conference: Waterloo, Canada (2026)

As a Reviewer (From 2026)

• IJCAI - International Joint Conferences on Artificial Intelligence (CCF-A): ECAI, Bremen, Germany (2026)
• PPSN - International Conferences on Parallel Problem Solving From Nature (CCF-B): Trento, Italy (2026)
• TEVC - IEEE Transactions on Evolutionary Computation (CCF-B): 2026
• Swarm and Evolutionary Computation: 2026
• ANTS - International Conference on Swarm Intelligence: Darmstadt, Germany (2026)
• ALIFE - Artificial Life Conference: Waterloo, Canada (2026)
• CEC - IEEE Congress on Evolutionary Computation: WCCI, Maastricht, Netherlands (2026)
• Scientific Reports: 2026

Interesting Conferences, Workshops, Activities

• Conference on Complex Systems: 2026

: A summary of total number of visitors for Evolutionary-Intelligence.github.io (News-Focused) and DistributedEvolutionaryComputation (Paper-Focused).