PPaperPicks

Suhang Wang

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

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Venues

ACL ×10SIGKDD ×8NeurIPS ×4WSDM ×4WWW ×4CIKM ×3EACL ×3EMNLP ×3ICLR ×3AAAI ×2ICML ×2NAACL ×2ECCV ×1ICDE ×1ICDM ×1SDM ×1VLDB ×1

Frequent coauthors

Fali Wang
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Xianren Zhang
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Minhua Lin
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Haitong Luo
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Zhiwei Zhang
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Tianxiang Zhao
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Yingqian Cui
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Ali Al-Lawati
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Zongyu Wu
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Jie Ren
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Yilong Wang
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Junjie Xu
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Papers

  1. A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains
    ACL 2026 ·
    Xianren Zhang
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  2. A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning
    ACL 2026 ·
    Yingqian Cui
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  3. Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
    EACL 2026 ·
    Minhua Lin
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  4. Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks
    ACL 2026 ·
    Ali Al-Lawati
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  5. Exposing Privacy Risks in Graph Retrieval-Augmented Generation
    ACL 2026 ·
    Jiale Liu
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  6. GPR: Empowering Generation with Graph-Pretrained Retriever
    WWW 2026 ·
    Xiaochen Wang
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  7. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations
    ACL 2026 ·
    Haitong Luo
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  8. Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
    EACL 2026 ·
    Zongyu Wu
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  9. Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems
    ACL 2026 ·
    Shuhua Yang
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  10. SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis
    AAAI 2026 ·
    Haitong Luo
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  11. ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
    EACL 2026 ·
    Saptarshi Sengupta
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  12. Unlearning Inversion Attacks for Graph Neural Networks
    WSDM 2026 ·
    Jiahao Zhang
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  13. A General Framework to Enhance Fine-tuning-based LLM Unlearning
    ACL 2025 ·
    Jie Ren
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  14. A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness
    SIGKDD 2025 ·
    Fali Wang
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  15. AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
    NeurIPS 2025 ·
    Fali Wang
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  16. Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
    SIGKDD 2025 ·
    Minhua Lin
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  17. Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
    WSDM 2025 ·
    Yilong Wang
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  18. Catastrophic Failure of LLM Unlearning via Quantization
    ICLR 2025 ·
    Zhiwei Zhang
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  19. Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
    NeurIPS 2025 ·
    Liangliang Zhang
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  20. Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
    ACL 2025 ·
    Xianren Zhang
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  21. DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
    NeurIPS 2025 ·
    Junjie Xu
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  22. Fairness-aware Prompt Tuning for Graph Neural Networks
    WWW 2025 ·
    Zhengpin Li
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  23. GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
    EMNLP 2025 ·
    Ali Al-Lawati
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  24. Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
    NeurIPS 2025 ·
    Jie Ren
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  25. Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
    NAACL 2025 ·
    Juanhui Li
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  26. PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection
    SIGKDD 2025 ·
    Enyan Dai
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  27. Robustness Inspired Graph Backdoor Defense
    ICLR 2025 ·
    Zhiwei Zhang
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  28. SUA: Stealthy Multimodal Large Language Model Unlearning Attack
    EMNLP 2025 ·
    Xianren Zhang
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  29. Stealing Training Graphs from Graph Neural Networks
    SIGKDD 2025 ·
    Minhua Lin
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  30. Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
    ACL 2025 ·
    Yingqian Cui
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  31. The 2nd Workshop on Large Language Models for E-Commerce
    SIGKDD 2025 ·
    Haoyu Han
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  32. Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation
    CIKM 2025 ·
    Yilong Wang
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  33. xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
    ICDM 2025 ·
    Quan Li
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  34. Active Learning for Graphs with Noisy Structures
    SDM 2024 ·
    Hongliang Chi
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  35. Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
    SIGKDD 2024 ·
    Xiaowei Qian
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  36. Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
    ECCV 2024 ·
    Xianren Zhang
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  37. Disambiguated Node Classification with Graph Neural Networks
    WWW 2024 ·
    Tianxiang Zhao
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  38. Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
    WSDM 2024 ·
    Fali Wang
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  39. Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
    ICML 2024 ·
    Teng Xiao
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  40. Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
    ACL 2024 ·
    Bowen Jin
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  41. HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
    CIKM 2024 ·
    Fali Wang
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  42. Hierarchical Query Classification in E-commerce Search
    WWW 2024 ·
    Bing He
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  43. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
    EMNLP 2024 ·
    Fali Wang
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  44. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
    VLDB 2024 ·
    Fali Wang
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  45. Interpretable Imitation Learning with Dynamic Causal Relations
    WSDM 2024 ·
    Tianxiang Zhao
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  46. Language Models as Semantic Indexers
    ICML 2024 ·
    Bowen Jin
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  47. LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data
    ICDE 2024 ·
    Haoyu Wang
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  48. Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
    SIGKDD 2024 ·
    Tianxiang Zhao
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  49. Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
    SIGKDD 2024 ·
    Zhiwei Zhang
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  50. Shape-aware Graph Spectral Learning
    CIKM 2024 ·
    Junjie Xu
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  51. Spectral-Based Graph Neural Networks for Complementary Item Recommendation
    AAAI 2024 ·
    Haitong Luo
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  52. Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
    ICLR 2024 ·
    Tianxin Wei
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  53. Universal Prompt Optimizer for Safe Text-to-Image Generation
    NAACL 2024 ·
    Zongyu Wu
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