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Jundong Li

University of Virginia, Department of Electrical and Computer Engineering, Charlottesville, VA, USA

62 papers at tracked venues · 42 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-1878-817X ↗Google Scholar ↗Homepage ↗

Venues

SIGKDD ×11EMNLP ×9ACL ×6ICLR ×6WWW ×6ICML ×5NeurIPS ×5AAAI ×3CIKM ×3WSDM ×3ICDM ×2IJCAI ×1NAACL ×1WACV ×1

Frequent coauthors

Song Wang
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Binchi Zhang
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Yaochen Zhu
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Yushun Dong
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Yinhan He
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Xingbo Fu
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Zhen Tan
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Zhenyu Lei
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Chuxu Zhang
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Zihan Chen
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Haochen Liu
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Zaiyi Zheng
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Papers

  1. Certified Defense on the Fairness of Graph Neural Networks
    SIGKDD 2026 ·
    Yushun Dong
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  2. Explaining the 'Unexplainable' Large Language Models
    WSDM 2026 ·
    Zhen Tan
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  3. LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory
    ACL 2026 ·
    Binchi Zhang
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  4. Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
    ACL 2026 ·
    Binchi Zhang
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  5. MolEdit: Knowledge Editing for Multimodal Molecule Language Models
    WSDM 2026 ·
    Zhenyu Lei
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  6. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
    EMNLP 2025 ·
    Song Wang
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  7. Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
    ICML 2025 ·
    Binchi Zhang
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  8. BrainMAP: Learning Multiple Activation Pathways in Brain Networks
    AAAI 2025 ·
    Song Wang
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  9. CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
    ICLR 2025 ·
    Song Wang
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  10. Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
    ICLR 2025 ·
    Yaochen Zhu
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  11. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
    EMNLP 2025 ·
    Zaiyi Zheng
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  12. Collaborative Diffusion Model for Recommender System
    WWW 2025 ·
    Gyuseok Lee
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  13. Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
    WWW 2025 ·
    Yaochen Zhu
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  14. Demystify Epidemic Containment in Directed Networks: Theory and Algorithms
    WSDM 2025 ·
    Yinhan He
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  15. Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models
    ICDM 2025 ·
    Song Wang
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  16. Edge Prompt Tuning for Graph Neural Networks
    ICLR 2025 ·
    Xingbo Fu
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  17. Energy-Based Models for Predicting Mutational Effects on Proteins
    SIGKDD 2025 ·
    Patrick Soga
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  18. Fairness-Aware Graph Learning: A Benchmark
    SIGKDD 2025 ·
    Yushun Dong
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  19. From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
    EMNLP 2025 ·
    Zihan Chen
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  20. Graph Foundation Models: Challenges, Methods, and Open Questions
    SIGKDD 2025 ·
    Zehong Wang
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  21. Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
    ICLR 2025 ·
    Yushun Dong
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  22. Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
    SIGKDD 2025 ·
    Xingbo Fu
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  23. GraphRCG: Self-Conditioned Graph Generation
    CIKM 2025 ·
    Song Wang
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  24. GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
    NeurIPS 2025 ·
    Xingbo Fu
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  25. Harnessing Large Language Models for Disaster Management: A Survey
    ACL 2025 ·
    Zhenyu Lei
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  26. Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
    NeurIPS 2025 ·
    Yinhan He
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  27. Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
    IJCAI 2025 ·
    Zhen Tan
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  28. Invariant Shape Representation Learning for Image Classification
    WACV 2025 ·
    Tonmoy Hossain
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  29. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
    EMNLP 2025 ·
    Yaochen Zhu
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  30. Learning from Diverse Reasoning Paths with Routing and Collaboration
    EMNLP 2025 ·
    Zhenyu Lei
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  31. MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
    ICML 2025 ·
    Zihan Chen
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  32. MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings
    CIKM 2025 ·
    Zaiyi Zheng
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  33. Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
    ACL 2025 ·
    Haochen Liu
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  34. Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
    ICLR 2025 ·
    Song Wang
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  35. RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery
    SIGKDD 2025 ·
    Chuxu Zhang
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  36. RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web
    WWW 2025 ·
    Chuxu Zhang
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  37. Resource-Efficient Learning for the Web
    WWW 2025 ·
    Chuxu Zhang
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  38. ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
    AAAI 2025 ·
    Zhenyu Lei
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  39. SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens
    NeurIPS 2025 ·
    Yinhan He
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  40. Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
    EMNLP 2025 ·
    Song Wang
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  41. Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
    ICML 2025 ·
    Yinhan He
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  42. Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
    AAAI 2025 ·
    Xingbo Fu
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  43. 3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
    SIGKDD 2024 ·
    Chen Zhao
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  44. Adversarial Attacks on Fairness of Graph Neural Networks
    ICLR 2024 ·
    Binchi Zhang
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  45. Causal Inference with Latent Variables: Recent Advances and Future Prospectives
    SIGKDD 2024 ·
    Yaochen Zhu
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  46. Collaborative Large Language Model for Recommender Systems
    WWW 2024 ·
    Yaochen Zhu
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  47. Efficient Prompt Optimization Through the Lens of Best Arm Identification
    NeurIPS 2024 ·
    Chengshuai Shi
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  48. Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
    ICDM 2024 ·
    Song Wang
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  49. Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
    EMNLP 2024 ·
    Yinhan He
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  50. FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
    ACL 2024 ·
    Zihan Chen
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  51. Federated Graph Learning with Structure Proxy Alignment
    SIGKDD 2024 ·
    Xingbo Fu
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  52. Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
    NAACL 2024 ·
    Haochen Liu
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  53. Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
    EMNLP 2024 ·
    Zhen Tan
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  54. IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
    SIGKDD 2024 ·
    Yushun Dong
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  55. Knowledge Graph-Enhanced Large Language Models via Path Selection
    ACL 2024 ·
    Haochen Liu
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  56. Large Language Models for Data Annotation and Synthesis: A Survey
    EMNLP 2024 ·
    Zhen Tan
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  57. Mixture of Demonstrations for In-Context Learning
    NeurIPS 2024 ·
    Song Wang
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  58. PyGDebias: A Python Library for Debiasing in Graph Learning
    WWW 2024 ·
    Yushun Dong
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  59. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
    SIGKDD 2024 ·
    Chuxu Zhang
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  60. Towards Certified Unlearning for Deep Neural Networks
    ICML 2024 ·
    Binchi Zhang
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  61. Understanding and Modeling Job Marketplace with Pretrained Language Models
    CIKM 2024 ·
    Yaochen Zhu
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  62. Verification of Machine Unlearning is Fragile
    ICML 2024 ·
    Binchi Zhang
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