PPaperPicks

Yizhou Sun

University of California, Los Angeles, CA, USA

46 papers at tracked venues · 38 at CORE A* · active 2024–2026

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Venues

ICML ×7NeurIPS ×7ACL ×6ICLR ×5SIGKDD ×5AAAI ×4EMNLP ×3NAACL ×3WWW ×3ICCV ×1IJCAI ×1SDM ×1

Frequent coauthors

Xiao Luo
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Zongyu Lin
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Ruoyan Li
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Zongyue Qin
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Weikai Li
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Yanqiao Zhu
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Song Jiang
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Zijie Huang
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Arjun Subramonian
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Eric Hanchen Jiang
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Mingfei Lu
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Todd W. Neller
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Papers

  1. Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models
    ACL 2026 ·
    Eric Hanchen Jiang
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  2. From Newborn to Impact: Bias-Aware Citation Prediction
    WWW 2026 ·
    Mingfei Lu
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  3. Model AI Assignments 2026
    AAAI 2026 ·
    Todd W. Neller
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  4. Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
    SIGKDD 2026 ·
    Ruoyan Li
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  5. Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral Evolution
    ACL 2026 ·
    Zhou Ziheng
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  6. Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
    AAAI 2025 ·
    Yanna Ding
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  7. Contradiction Retrieval via Contrastive Learning with Sparsity
    ICML 2025 ·
    Haike Xu
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  8. Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
    ICLR 2025 ·
    Haining Yu
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  9. Don't Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
    NeurIPS 2025 ·
    Zitong Shi
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  10. Dynamic-Width Speculative Beam Decoding for LLM Inference
    AAAI 2025 ·
    Zongyue Qin
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  11. Flow Field Reconstruction with Sensor Placement Policy Learning
    NeurIPS 2025 ·
    Ruoyan Li
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  12. Future Matters for Present: Towards Effective Physical Simulation over Meshes
    SIGKDD 2025 ·
    Xiao Luo
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  13. HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
    NAACL 2025 ·
    Zifan He
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  14. Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
    AAAI 2025 ·
    Weikai Li
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  15. How Do Large Language Models Perform in Dynamical System Modeling
    NAACL 2025 ·
    Xiao Luo
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  16. How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective
    EMNLP 2025 ·
    Xiao Luo
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  17. Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
    ACL 2025 ·
    Mingyu Derek Ma
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  18. Mixture of In-Context Prompters for Tabular PFNs
    ICLR 2025 ·
    Derek Qiang Xu
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  19. Neural Network Pruning for Invariance Learning
    SIGKDD 2025 ·
    Derek Xu
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  20. Open-Set Living Need Prediction with Large Language Models
    ACL 2025 ·
    Xiaochong Lan
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  21. Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference
    ICLR 2025 ·
    Zongyue Qin
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  22. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025
    SIGKDD 2025 · Yizhou Sun
  23. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025
    SIGKDD 2025 ·
    Luiza Antonie
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  24. Protein Large Language Models: A Comprehensive Survey
    EMNLP 2025 ·
    Yijia Xiao
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  25. QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
    ICML 2025 ·
    Zongyu Lin
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  26. Rethink GraphODE Generalization within Coupled Dynamical System
    ICML 2025 ·
    Guancheng Wan
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  27. STIV: Scalable Text and Image Conditioned Video Generation
    ICCV 2025 ·
    Zongyu Lin
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  28. Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning
    NeurIPS 2025 ·
    Yanqiao Zhu
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  29. V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning
    ACL 2025 ·
    Zongyu Lin
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  30. VideoPhy: Evaluating Physical Commonsense for Video Generation
    ICLR 2025 ·
    Hritik Bansal
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  31. A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract)
    IJCAI 2024 ·
    Song Jiang
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  32. Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
    WWW 2024 ·
    Zijie Huang
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  33. FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
    ACL 2024 ·
    Fred Xu
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  34. Fast Inference of Removal-Based Node Influence
    WWW 2024 ·
    Weikai Li
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  35. Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
    NeurIPS 2024 ·
    Arvind Vepa
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  36. Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks
    SDM 2024 ·
    Yewen Wang
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  37. Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
    ICLR 2024 ·
    Yanqiao Zhu
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  38. Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
    ICML 2024 ·
    Arjun Subramonian
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  39. Non-Euclidean Mixture Model for Social Network Embedding
    NeurIPS 2024 ·
    Roshni G. Iyer
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  40. PGODE: Towards High-quality System Dynamics Modeling
    ICML 2024 ·
    Xiao Luo
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  41. Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
    NeurIPS 2024 ·
    Zijie Huang
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  42. Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
    ICML 2024 ·
    Haoyu Li
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  43. RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
    NAACL 2024 ·
    Song Jiang
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  44. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
    ICML 2024 ·
    Xiaoxuan Wang
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  45. Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
    EMNLP 2024 ·
    Kewei Cheng
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  46. Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
    NeurIPS 2024 ·
    Arjun Subramonian
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