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Yan Liu

University of Southern California, Computer Science Department, Los Angeles, CA, USA

23 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

ACL ×5SIGKDD ×5ICLR ×3WWW ×3AAAI ×2ICML ×2NeurIPS ×2EMNLP ×1

Frequent coauthors

Shihan Dou
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Srinivasan Parthasarathy
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Jinbo Liu
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Can Rong
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Aidong Zhang
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Ranak Roy Chowdhury
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Vipin Kumar
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Wei Jin
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Chang Xu
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Sam Griesemer
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Qiang Huang
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Furong Jia
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Papers

  1. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026
    SIGKDD 2026 ·
    Srinivasan Parthasarathy
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  2. Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
    ACL 2026 ·
    Jinbo Liu
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  3. A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
    ICLR 2025 ·
    Can Rong
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  4. AI and Science Day
    SIGKDD 2025 ·
    Aidong Zhang
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  5. AI for Supply Chain: Today and Future
    SIGKDD 2025 ·
    Ranak Roy Chowdhury
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  6. Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
    AAAI 2025 ·
    Shihan Dou
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  7. EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
    NeurIPS 2025 ·
    Shihan Dou
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  8. KDD 2025 Panel on AI for Science
    SIGKDD 2025 ·
    Vipin Kumar
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  9. Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
    ACL 2025 ·
    Shihan Dou
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  10. SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances
    SIGKDD 2025 ·
    Wei Jin
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  11. The AI Revolution in Time Series: Challenges and Opportunites
    WWW 2025 · Yan Liu
  12. Workshop on Sustainable AI for the Future Web
    WWW 2025 ·
    Chang Xu
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  13. Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
    NeurIPS 2024 ·
    Sam Griesemer
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  14. An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
    ICML 2024 ·
    Qiang Huang
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  15. GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
    AAAI 2024 ·
    Furong Jia
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  16. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
    ACL 2024 ·
    Shihan Dou
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  17. Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
    EMNLP 2024 ·
    Shitong Duan
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  18. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  19. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
    ACL 2024 ·
    Shihan Dou
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  20. TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
    ICLR 2024 ·
    Defu Cao
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  21. TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents
    ACL 2024 ·
    James Enouen
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  22. The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
    ICLR 2024 · Yan Liu
  23. Toward Mitigating Misinformation and Social Media Manipulation in LLM Era
    WWW 2024 ·
    Yizhou Zhang
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