PPaperPicks

Wei-Neng Chen

9 papers at tracked venues · 4 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Qiuzhen Lin
×5
Xiaoqiang Wu
×3
Qingling Zhu
×3
Jianqiang Li
×3
Tai-You Chen
×2
Duomao Zhuang
×1
Hongshu Guo
×1
Zeyuan Ma
×1
Yining Ma
×1
Xinglin Zhang
×1
Yue-Jiao Gong
×1
Xianxu Qiu
×1

Papers

  1. Deep Reinforcement Learning Driven Strategy Design for Distributed Consensus Black-Box Evolutionary Optimization
    GECCO 2026 ·
    Duomao Zhuang
    , Wei-Neng Chen,
    Tai-You Chen
  2. DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
    NeurIPS 2025 ·
    Hongshu Guo
    ,
    Zeyuan Ma
    ,
    Yining Ma
    ,
    Xinglin Zhang
    , Wei-Neng Chen,
    Yue-Jiao Gong
  3. Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
    AAAI 2025 ·
    Xianxu Qiu
    ,
    Haiming Huang
    ,
    Weiwei Chen
    ,
    Qiuzhen Lin
    , Wei-Neng Chen,
    Fuchun Sun
  4. Multi-Agent Swarm Optimization for Decentralized Energy Management Considering Game Behaviors of Electric Vehicles
    GECCO 2025 ·
    Tai-You Chen
    ,
    Feng-Feng Wei
    , Wei-Neng Chen
  5. Population-Based Multi-Objective Reinforcement Learning with Information Sharing and Differentiation
    ECAI 2025 ·
    Xiaoqiang Wu
    ,
    Qingling Zhu
    ,
    Junkai Ji
    ,
    Qiuzhen Lin
    , Wei-Neng Chen,
    Jianqiang Li
  6. Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy
    AAMAS 2024 ·
    Xiaoqiang Wu
    ,
    Qingling Zhu
    ,
    Qiuzhen Lin
    , Weineng Chen,
    Jianqiang Li
  7. ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
    AAAI 2024 ·
    Qiuzhen Lin
    ,
    Yangfan Chen
    ,
    Lijia Ma
    , Wei-Neng Chen,
    Jianqiang Li
  8. LATuner: An LLM-Enhanced Database Tuning System Based on Adaptive Surrogate Model
    ECML-PKDD 2024 ·
    Chong-Jiong Fan
    ,
    Zhicheng Pan
    ,
    Wenwen Sun
    ,
    Chengcheng Yang
    , Wei-Neng Chen
  9. Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
    AAAI 2024 ·
    Qingling Zhu
    ,
    Xiaoqiang Wu
    ,
    Qiuzhen Lin
    , Wei-Neng Chen