PPaperPicks

Kun Wang

Nanyang Technological University, Singapore

63 papers at tracked venues · 58 at CORE A* · active 2024–2026

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Venues

ACL ×14NeurIPS ×13ICLR ×10SIGKDD ×6AAAI ×5EMNLP ×5ICML ×5ICCV ×2ACM MM ×1ICDE ×1WWW ×1

Frequent coauthors

Guibin Zhang
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Junfeng Fang
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Rongkun Zheng
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Liang Lin
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Zhenhong Zhou
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Yuan Gao
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Miao Yu
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Hanjun Luo
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Rongyao Fang
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Fan Xu
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Yongxuan Wu
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Shanwen Tan
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Papers

  1. Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE
    SIGKDD 2026 ·
    Fan Xu
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  2. Backdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models
    ACL 2026 ·
    Liang Lin
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  3. CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
    ACL 2026 ·
    Yongxuan Wu
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  4. CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
    ACL 2026 ·
    Zhenhong Zhou
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  5. Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
    ACL 2026 ·
    Shanwen Tan
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  6. EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations
    SIGKDD 2026 ·
    Xinyun Zhou
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  7. HearSay Benchmark: Do Audio LLMs Leak What They Hear?
    ACL 2026 ·
    Jin Wang
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  8. Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers
    AAAI 2026 ·
    Liang Lin
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  9. JARVIS or Ultron? A Survey on the Safety and Security Threats of Computer-Using Agents
    ACL 2026 ·
    Ada Chen
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  10. NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
    AAAI 2026 ·
    Yuan Gao
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  11. RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios
    ACL 2026 ·
    Yibo Zhang
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  12. SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
    AAAI 2026 ·
    Ruijia Zhang
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  13. A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges
    ACL 2025 ·
    Yibo Yan
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  14. A Survey on Trustworthy LLM Agents: Threats and Countermeasures
    SIGKDD 2025 ·
    Miao Yu
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  15. ACE: Concept Editing in Diffusion Models without Performance Degradation
    ACM MM 2025 ·
    Ruipeng Wang
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  16. AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
    NeurIPS 2025 ·
    Hanjun Luo
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  17. AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
    ICLR 2025 ·
    Junfeng Fang
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  18. Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
    NeurIPS 2025 ·
    Haolang Lu
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  19. Backdoor Graph Condensation
    ICDE 2025 ·
    Jiahao Wu
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  20. CellVerse: Do Large Language Models Really Understand Cell Biology?
    NeurIPS 2025 ·
    Fan Zhang
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  21. Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
    ICLR 2025 ·
    Guibin Zhang
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  22. DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
    EMNLP 2025 ·
    Pengyu Zhu
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  23. DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
    SIGKDD 2025 ·
    Hao Wu
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  24. DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
    EMNLP 2025 ·
    Hanjun Luo
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  25. FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering
    ACL 2025 ·
    Yuan Sui
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  26. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
    ICML 2025 ·
    Guibin Zhang
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  27. G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
    NeurIPS 2025 ·
    Guibin Zhang
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  28. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
    ACL 2025 ·
    Shilong Wang
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  29. GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing
    NeurIPS 2025 ·
    Rongyao Fang
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  30. Graph Sparsification via Mixture of Graphs
    ICLR 2025 ·
    Guibin Zhang
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  31. GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
    NeurIPS 2025 ·
    Yue Liu
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  32. KGMark: A Diffusion Watermark for Knowledge Graphs
    ICML 2025 ·
    Hongrui Peng
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  33. Knowledge Graph-Driven Memory Editing with Directional Interventions
    EMNLP 2025 ·
    Jinhu Fu
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  34. LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
    NeurIPS 2025 ·
    Wei Zhang
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  35. MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
    ICLR 2025 ·
    Yifan Zhang
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  36. MasRouter: Learning to Route LLMs for Multi-Agent Systems
    ACL 2025 ·
    Yanwei Yue
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  37. Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
    ICLR 2025 ·
    Guanyu Zhou
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  38. Multi-agent Architecture Search via Agentic Supernet
    ICML 2025 ·
    Guibin Zhang
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  39. NetSafe: Exploring the Topological Safety of Multi-agent System
    ACL 2025 ·
    Miao Yu
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  40. On the Role of Attention Heads in Large Language Model Safety
    ICLR 2025 ·
    Zhenhong Zhou
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  41. OneForecast: A Universal Framework for Global and Regional Weather Forecasting
    ICML 2025 ·
    Yuan Gao
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  42. Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
    ICLR 2025 ·
    Zaige Fei
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  43. PUMA: Empowering Unified MLLM with Multi-Granular Visual Generation
    ICCV 2025 ·
    Rongyao Fang
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  44. Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis
    EMNLP 2025 ·
    Haoming Huang
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  45. Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
    NeurIPS 2025 ·
    Rongkun Zheng
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  46. Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
    NeurIPS 2025 ·
    Qiankun Li
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  47. UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
    AAAI 2025 ·
    Xixuan Hao
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  48. ViLLa: Video Reasoning Segmentation with Large Language Model
    ICCV 2025 ·
    Rongkun Zheng
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  49. iAgent: LLM Agent as a Shield between User and Recommender Systems
    ACL 2025 ·
    Wujiang Xu
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  50. CLEAR: Can Language Models Really Understand Causal Graphs?
    EMNLP 2024 ·
    Sirui Chen
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  51. Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
    NeurIPS 2024 ·
    Yifan Duan
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  52. EXGC: Bridging Efficiency and Explainability in Graph Condensation
    WWW 2024 ·
    Junfeng Fang
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  53. Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
    AAAI 2024 ·
    Hao Wu
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  54. GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
    NeurIPS 2024 ·
    Guibin Zhang
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  55. Graph Lottery Ticket Automated
    ICLR 2024 ·
    Guibin Zhang
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  56. Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
    ICLR 2024 ·
    Binwu Wang
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  57. MolTC: Towards Molecular Relational Modeling In Language Models
    ACL 2024 ·
    Junfeng Fang
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  58. NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
    ICLR 2024 · Kun Wang
  59. SyncVIS: Synchronized Video Instance Segmentation
    NeurIPS 2024 ·
    Rongkun Zheng
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  60. The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
    SIGKDD 2024 · Kun Wang
  61. The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
    SIGKDD 2024 · Kun Wang
  62. Towards Neuron Attributions in Multi-Modal Large Language Models
    NeurIPS 2024 ·
    Junfeng Fang
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  63. Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
    ICML 2024 ·
    Guibin Zhang
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