PPaperPicks

Ming Zhang

Peking University, School of Computer Science, Beijing, China

45 papers at tracked venues · 35 at CORE A* · active 2024–2026

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Venues

ACL ×8ICML ×8AAAI ×7NAACL ×4EMNLP ×3NeurIPS ×3WWW ×3ACM MM ×2ICLR ×2IJCAI ×2ICDM ×1SIGIR ×1SIGKDD ×1

Frequent coauthors

Junyu Luo
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Yusheng Zhao
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Yiyang Gu
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Wei Ju
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Yifan Wang
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Kangjie Zheng
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Xiao Luo
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Chengwu Liu
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Jingyang Yuan
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Zhiyin Yu
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Yangning Li
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Hourun Li
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Papers

  1. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
    ACL 2026 ·
    Zhiyin Yu
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  2. CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
    AAAI 2026 ·
    Yiyang Gu
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  3. Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
    ACL 2026 ·
    Chengwu Liu
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  4. EviRAG: Evidence-Guided Retrieval-Augmented Generation for Medical Vision-Language Models
    SIGIR 2026 ·
    Yiyang Gu
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  5. KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection
    WWW 2026 ·
    Yifan Wang
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  6. Long-Tailed Recognition of Evidential Experts for Graph-level Classification
    WWW 2026 ·
    Wei Ju
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  7. SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
    ACL 2026 ·
    Yiyang Gu
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  8. Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts
    WWW 2026 ·
    Junyu Luo
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  9. A Survey of RAG-Reasoning Systems in Large Language Models
    EMNLP 2025 ·
    Yangning Li
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  10. A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
    ACL 2025 ·
    Junyu Luo
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  11. Attention Bootstrapping for Multi-Modal Test-Time Adaptation
    AAAI 2025 ·
    Yusheng Zhao
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  12. CODE: Towards Partial Label Graph Learning via Coupled Dual Separation
    ACM MM 2025 ·
    Yiyang Gu
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  13. Cluster-guided Contrastive Class-imbalanced Graph Classification
    AAAI 2025 ·
    Wei Ju
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  14. DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
    ICML 2025 ·
    Yifan Wang
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  15. Deep Graph Clustering with Disentangled Representation Learning
    ACM MM 2025 ·
    Yifan Wang
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  16. DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
    AAAI 2025 ·
    Hourun Li
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  17. Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
    NeurIPS 2025 ·
    Yusheng Zhao
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  18. Embracing Large Language Models in Traffic Flow Forecasting
    ACL 2025 ·
    Yusheng Zhao
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  19. ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
    ICML 2025 ·
    Kangjie Zheng
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  20. FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
    ACL 2025 ·
    Junyu Luo
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  21. Future Matters for Present: Towards Effective Physical Simulation over Meshes
    SIGKDD 2025 ·
    Xiao Luo
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  22. GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
    AAAI 2025 ·
    Yifang Qin
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  23. HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
    EMNLP 2025 ·
    Ruochang Li
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  24. How Do Large Language Models Perform in Dynamical System Modeling
    NAACL 2025 ·
    Xiao Luo
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  25. MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
    NAACL 2025 ·
    Jinsheng Huang
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  26. Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
    EMNLP 2025 ·
    Yusheng Zhao
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  27. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
    ACL 2025 ·
    Jingyang Yuan
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  28. QuizWhiz: An End-to-End AI-Powered Educational Platform for K-12 Intelligent Tutoring and Teaching Analytics
    ICDM 2025 ·
    Haiyi Liu
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  29. SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
    NeurIPS 2025 ·
    Yiyang Gu
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  30. SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
    ICLR 2025 ·
    Kangjie Zheng
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  31. Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
    ACL 2025 ·
    Chengwu Liu
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  32. Semi-supervised Fine-tuning for Large Language Models
    NAACL 2025 ·
    Junyu Luo
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  33. Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
    ICML 2025 ·
    Junyu Luo
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  34. TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
    AAAI 2025 ·
    Yusheng Zhao
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  35. Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
    ICML 2025 ·
    Yusheng Zhao
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  36. A Survey of Data-Efficient Graph Learning
    IJCAI 2024 ·
    Wei Ju
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  37. EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
    NeurIPS 2024 ·
    Jingyang Yuan
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  38. ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
    ICML 2024 ·
    Kangjie Zheng
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  39. Hypergraph-enhanced Dual Semi-supervised Graph Classification
    ICML 2024 ·
    Wei Ju
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  40. Measuring Social Norms of Large Language Models
    NAACL 2024 ·
    Ye Yuan
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  41. Measuring Vision-Language STEM Skills of Neural Models
    ICLR 2024 ·
    Jianhao Shen
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  42. Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
    ICML 2024 ·
    Junwei Yang
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  43. PGODE: Towards High-quality System Dynamics Modeling
    ICML 2024 ·
    Xiao Luo
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  44. Preparing Lessons for Progressive Training on Language Models
    AAAI 2024 ·
    Yu Pan
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  45. Rank and Align: Towards Effective Source-free Graph Domain Adaptation
    IJCAI 2024 ·
    Junyu Luo
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