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Ke Li

18 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

AAAI ×7EMNLP ×2NeurIPS ×2CIKM ×1ECML-PKDD ×1FSE ×1GECCO ×1ICSE ×1ISSTA ×1SIGKDD ×1

Frequent coauthors

Mingyu Huang
×5
Shengbo Wang
×4
Heng Yang
×4
Shasha Zhou
×3
Jack Cole
×2
Qingfu Zhang
×2
Peili Mao
×2
Charles Britton
×1
Ming Yin
×1
Jan Wolber
×1
Tianmeng Hu
×1
Yongzheng Cui
×1

Papers

  1. Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
    AAAI 2026 ·
    Shasha Zhou
    ,
    Mingyu Huang
    ,
    Jack Cole
    ,
    Charles Britton
    ,
    Ming Yin
    ,
    Jan Wolber
    , Ke Li
  2. Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
    AAAI 2026 ·
    Tianmeng Hu
    ,
    Yongzheng Cui
    ,
    Rui Tang
    ,
    Biao Luo
    , Ke Li
  3. LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
    AAAI 2026 ·
    Fan Li
    ,
    Shengbo Wang
    , Ke Li
  4. Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
    AAAI 2026 ·
    Shengbo Wang
    ,
    Hong Sun
    , Ke Li
  5. Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
    NeurIPS 2025 ·
    Mingyu Huang
    ,
    Shasha Zhou
    , Ke Li
  6. Bridging Sequence-Structure Alignment in RNA Foundation Models
    AAAI 2025 ·
    Heng Yang
    ,
    Renzhi Chen
    , Ke Li
  7. Decomposition Multi-Objective Optimization: What We Know from the Literature, and What We are not Clear from a Data Science Perspective
    GECCO 2025 · Ke Li,
    Qingfu Zhang
  8. Destroy and Repair Using Hyper-Graphs for Routing
    AAAI 2025 · Ke Li,
    Fei Liu
    ,
    Zhenkun Wang
    ,
    Qingfu Zhang
  9. Faster Configuration Performance Bug Testing with Neural Dual-Level Prioritization
    ICSE 2025 ·
    Youpeng Ma
    ,
    Tao Chen
    , Ke Li
  10. Foundation Models for Genomic Modeling and Understanding: Methods, Results, and Future Directions
    ECML-PKDD 2025 ·
    Heng Yang
    ,
    Jack Cole
    ,
    Yuan Li
    ,
    Saeid Rezaei
    ,
    Stefano Pagliari
    ,
    Krasimira Tsaneva-Atanasova
    ,
    Yiliang Ding
    , Ke Li
  11. On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory Study
    SIGKDD 2025 ·
    Mingyu Huang
    , Ke Li
  12. Rethinking Performance Analysis for Configurable Software Systems: A Case Study from a Fitness Landscape Perspective
    ISSTA 2025 ·
    Mingyu Huang
    ,
    Peili Mao
    , Ke Li
  13. Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
    AAAI 2024 ·
    Shengbo Wang
    , Ke Li
  14. Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
    NeurIPS 2024 ·
    Tian Huang
    ,
    Shengbo Wang
    , Ke Li
  15. Evolutionary Multi-objective Optimization for Contextual Adversarial Example Generation
    FSE 2024 ·
    Shasha Zhou
    ,
    Mingyu Huang
    ,
    Yanan Sun
    , Ke Li
  16. MP-RNA: Unleashing Multi-species RNA Foundation Model via Calibrated Secondary Structure Prediction
    EMNLP 2024 ·
    Heng Yang
    , Ke Li
  17. OpenTOS: Open-source System for Transfer Learning Bayesian Optimization
    CIKM 2024 ·
    Peili Mao
    , Ke Li
  18. The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
    EMNLP 2024 ·
    Heng Yang
    , Ke Li