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Zhen Wang

Northwestern Polytechnical University, Center for Optical Imagery Analysis and Learning, Xi'an, China

67 papers at tracked venues · 47 at CORE A* · active 2024–2026

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Venues

AAAI ×12IJCAI ×11NeurIPS ×7ICML ×6ICLR ×5WWW ×5ACL ×3ACM MM ×3CIKM ×3CVPR ×3SIGKDD ×3EMNLP ×2AAMAS ×1ECCV ×1ECML-PKDD ×1WSDM ×1

Frequent coauthors

Liang Yang
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Jiaming Zhuo
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Dongpeng Hou
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Di Jin
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Le Cheng
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Hongyi Nie
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Haowei Xu
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Haotong Du
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Dongxiao He
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Chunjiang Mu
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Tingjin Luo
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Zhiyao Cui
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Papers

  1. Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
    AAAI 2026 ·
    Chunjiang Mu
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  2. CLASS: Deep Partial Label Feature Selection with Cluster-Guided Disambiguation and Structured Sparsity
    SIGKDD 2026 ·
    Tingjin Luo
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  3. Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation
    ACL 2026 ·
    Zhiyao Cui
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  4. LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing
    ACL 2026 ·
    Hao Li
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  5. Source Localization in Continuous-Time Propagation via Spectral ODE Modeling
    WWW 2026 ·
    Dongpeng Hou
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  6. Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction
    AAAI 2026 ·
    Liang Yang
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  7. Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms
    WWW 2026 ·
    Di Jin
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  8. A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
    NeurIPS 2025 ·
    Jiaming Zhuo
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  9. A Unified Model of Direct and Indirect Reciprocity in Multichannel Games
    AAAI 2025 ·
    Juan Shi
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  10. Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
    NeurIPS 2025 ·
    Hongyi Nie
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  11. Backdoor Attack on Propagation-based Rumor Detectors
    AAAI 2025 ·
    Di Jin
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  12. CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing
    ICLR 2025 ·
    Ziqi Jiang
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  13. Compositional Zero-shot Learning via Progressive Language-based Observations
    ACM MM 2025 ·
    Lin Li
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  14. D2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction
    WSDM 2025 ·
    Haowei Xu
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  15. DUALFormer: Dual Graph Transformer
    ICLR 2025 ·
    Jiaming Zhuo
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  16. Disentangled Graph Spectral Domain Adaptation
    ICML 2025 ·
    Liang Yang
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  17. Do We Really Need Message Passing in Brain Network Modeling?
    ICML 2025 ·
    Liang Yang
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  18. Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
    AAAI 2025 ·
    Yongqi Huang
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  19. Erasing Concept Combination from Text-to-Image Diffusion Model
    ICLR 2025 ·
    Hongyi Nie
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  20. Event-Customized Image Generation
    ICML 2025 · Zhen Wang
  21. Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
    IJCAI 2025 ·
    Bingdao Feng
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  22. Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process
    IJCAI 2025 ·
    Dongpeng Hou
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  23. Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
    ICML 2025 ·
    Zhongtian Ma
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  24. Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
    AAAI 2025 ·
    Liang Yang
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  25. HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
    IJCAI 2025 ·
    Le Cheng
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  26. IterIS: Iterative Inference-Solving Alignment for LoRA Merging
    CVPR 2025 ·
    Hongxu Chen
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  27. Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
    AAAI 2025 ·
    Mingxin Li
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  28. Less is More: Efficient Model Merging with Binary Task Switch
    CVPR 2025 ·
    Biqing Qi
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  29. LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
    NeurIPS 2025 ·
    Di Jin
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  30. MFAE: Multimodal Feature Adaptive Enhancement for Fake News Video Detection
    CIKM 2025 ·
    Wenhao Wang
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  31. Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions
    EMNLP 2025 ·
    Yaozu Wu
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  32. PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
    SIGKDD 2025 ·
    Haotong Du
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  33. Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model
    NeurIPS 2025 ·
    Yicong Chen
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  34. Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
    IJCAI 2025 ·
    Runze Li
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  35. SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
    IJCAI 2025 ·
    Le Cheng
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  36. Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
    WWW 2025 ·
    Dongxiao He
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  37. Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
    SIGKDD 2025 ·
    Shiyin Tan
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  38. Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
    ICML 2025 ·
    Chenyou Fan
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  39. Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model
    AAAI 2025 · Zhen Wang
  40. Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
    ACL 2025 ·
    Yang Zhang
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  41. Unified Molecule-Text Language Model with Discrete Token Representation
    IJCAI 2025 ·
    Shuhan Guo
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  42. Universal Graph Self-Contrastive Learning
    IJCAI 2025 ·
    Liang Yang
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  43. Video-based Transparent Object Segmentation via Temporal Feature Aggregation
    ACM MM 2025 · Zhen Wang
  44. A General Black-box Adversarial Attack on Graph-based Fake News Detectors
    IJCAI 2024 ·
    Peican Zhu
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  45. A Successful Strategy for Multichannel Iterated Prisoner's Dilemma
    IJCAI 2024 · Zhen Wang
  46. Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
    ICLR 2024 ·
    Hong Wang
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  47. Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization
    EMNLP 2024 ·
    Dongyuan Li
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  48. Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
    ICML 2024 ·
    Xiaoyu Wen
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  49. Cooperation and Coordination in Heterogeneous Populations with Interaction Diversity
    AAMAS 2024 ·
    Hao Guo
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  50. Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
    NeurIPS 2024 ·
    Haotong Du
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  51. DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
    AAAI 2024 ·
    Dongpeng Hou
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  52. DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism
    ECCV 2024 · Zhen Wang
  53. Emergence of Social Norms in Generative Agent Societies: Principles and Architecture
    IJCAI 2024 ·
    Siyue Ren
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  54. Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
    NeurIPS 2024 ·
    Dongxiao He
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  55. GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
    AAAI 2024 ·
    Shu Yin
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  56. GAUSS: GrAph-customized Universal Self-Supervised Learning
    WWW 2024 ·
    Liang Yang
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  57. GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
    AAAI 2024 ·
    Le Cheng
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  58. Graph Contrastive Learning Reimagined: Exploring Universality
    WWW 2024 ·
    Jiaming Zhuo
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  59. Improving Graph Contrastive Learning via Adaptive Positive Sampling
    CVPR 2024 ·
    Jiaming Zhuo
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  60. Inferring Information Diffusion Networks without Timestamps
    CIKM 2024 ·
    Yuchen Wang
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  61. Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics
    IJCAI 2024 · Zhen Wang
  62. Multimodal Low-light Image Enhancement with Depth Information
    ACM MM 2024 · Zhen Wang
  63. New Localization Frameworks: User-centric Approaches to Source Localization in Real-world Propagation Scenarios
    CIKM 2024 ·
    Dongpeng Hou
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  64. OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
    AAAI 2024 ·
    Jinyi Liu
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  65. On the Role of General Function Approximation in Offline Reinforcement Learning
    ICLR 2024 ·
    Chenjie Mao
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  66. RumorMixer: Exploring Echo Chamber Effect and Platform Heterogeneity for Rumor Detection
    ECML-PKDD 2024 ·
    Haowei Xu
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  67. Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
    NeurIPS 2024 ·
    Jiaming Zhuo
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