Shixuan Liu

Venues

Frequent coauthors

Papers

1. $L{3}$ C: Leaf-Centric Continuous Codes for Natural Language-Driven Table Discovery
   ICDE 2026 ·

   Qiyuan Zhang

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2. CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
   AAAI 2026 ·

   Tianle Pu

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3. Detecting Unobserved Confounders: A Kernelized Regression Approach
   AAAI 2026 ·

   Yikai Chen

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4. Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference
   WWW 2026 ·

   Yanghui Fu

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5. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
   ACL 2026 ·

   Binghai Wang

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6. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
   NeurIPS 2025 ·

   Shenzhi Wang

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7. Environment Inference for Learning Generalizable Dynamical System
   NeurIPS 2025 · Shixuan Liu
8. From Captions to Rewards (CaReVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
   ACM MM 2025 ·

   Muzhi Dai

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9. MapExplorer: New Content Generation from Low-Dimensional Visualizations
   SIGKDD 2025 ·

   Xingjian Zhang

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10. RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
    NeurIPS 2025 ·

    Tianle Pu

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11. Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
    ACM MM 2025 ·

    Muzhi Dai

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12. Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning
    ICDM 2024 ·

    Tianle Pu

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13. dattri: A Library for Efficient Data Attribution
    NeurIPS 2024 ·

    Junwei Deng

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14. icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract)
    AAAI 2024 · Shixuan Liu