Lingkai Kong

Venues

Frequent coauthors

Papers

1. Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction
   AAAI 2026 · Lingkai Kong
2. Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
   NeurIPS 2025 · Lingkai Kong
3. DF2: Distribution-Free Decision-Focused Learning
   UAI 2025 · Lingkai Kong
4. Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
   AISTATS 2025 · Lingkai Kong
5. Efficient Evolutionary Search Over Chemical Space with Large Language Models
   ICLR 2025 ·

   Haorui Wang

   DBLP profile ↗ORCID search ↗
6. LLM-Augmented Chemical Synthesis and Design Decision Programs
   ICML 2025 ·

   Haorui Wang

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7. Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
   ICML 2025 ·

   Cheol Woo Kim

   DBLP profile ↗ORCID search ↗
8. PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
   AAAI 2025 ·

   Shresth Verma

   DBLP profile ↗ORCID search ↗
9. Robust Optimization with Diffusion Models for Green Security
   UAI 2025 · Lingkai Kong
10. Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
    ICLR 2025 ·

    Yuchen Zhu

    DBLP profile ↗ORCID search ↗
11. What is the Right Notion of Distance between Predict-then-Optimize Tasks?
    UAI 2025 ·

    Paula Rodriguez Diaz

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12. Aligning Large Language Models with Representation Editing: A Control Perspective
    NeurIPS 2024 · Lingkai Kong
13. Convergence of Kinetic Langevin Monte Carlo on Lie groups
    COLT 2024 · Lingkai Kong
14. Quantitative Convergences of Lie Group Momentum Optimizers
    NeurIPS 2024 · Lingkai Kong
15. Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
    NeurIPS 2024 ·

    Haoxin Liu

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16. Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
    ICML 2024 ·

    Haoxin Liu

    DBLP profile ↗ORCID search ↗
17. Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
    AISTATS 2024 · Lingkai Kong