Philip S. Yu

Venues

Frequent coauthors

Papers

1. AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems
   WSDM 2026 ·

   Chen Wang

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2. AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
   WWW 2026 ·

   Mingdai Yang

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3. CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity
   SIGKDD 2026 ·

   Kaiwen Xia

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4. Can Multimodal LLMs Perform Time Series Anomaly Detection?
   WWW 2026 ·

   Xiongxiao Xu

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5. Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
   ACL 2026 ·

   Wei-Chieh Huang

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6. Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
   SIGKDD 2026 ·

   Longzhu He

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7. Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy
   WWW 2026 ·

   Qitong Liu

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8. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
   ACL 2026 ·

   Yibo Yan

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9. FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
   ACL 2026 ·

   Yujie Feng

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10. GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
    ACL 2026 ·

    Zhaofen Wu

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11. Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger
    WWW 2026 ·

    Li Sun

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12. Hyperbolic Continuous Structural Entropy for Hierarchical Clustering
    AAAI 2026 ·

    Guangjie Zeng

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13. LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
    ACL 2026 ·

    Henry Peng Zou

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14. Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
    AAAI 2026 ·

    Li Sun

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15. Many-Shot Scaling of In-Context Learning with Self-Generated Demonstrations
    ACL 2026 ·

    Zhengyao Gu

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16. Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
    SIGKDD 2026 ·

    Jizhou Guo

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17. MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
    ACL 2026 ·

    Yibo Wang

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18. Paper2Web: Let's Make Your Paper Alive!
    ACL 2026 ·

    Yuhang Chen

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19. PersonaAgent: Bridging Memory and Action for Personalized LLM Agents
    ACL 2026 ·

    Weizhi Zhang

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20. Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
    ACL 2026 ·

    Yibo Yan

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21. SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
    ACL 2026 ·

    Yiyang Gu

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22. S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
    AAAI 2026 ·

    Bowei He

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23. Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations
    ACL 2026 ·

    Shanghao Li

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24. XRAG: Examining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation
    ICDE 2026 ·

    Qili Zhang

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25. A Survey of RAG-Reasoning Systems in Large Language Models
    EMNLP 2025 ·

    Yangning Li

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26. A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
    SIGKDD 2025 ·

    Liangbo Ning

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27. AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract)
    ICDE 2025 ·

    Lu Bai

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28. AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
    NeurIPS 2025 ·

    Yangning Li

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29. Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
    NeurIPS 2025 ·

    Jiayi Kuang

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30. BANGS: Game-theoretic Node Selection for Graph Self-Training
    ICLR 2025 ·

    Fangxin Wang

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31. Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
    ICLR 2025 ·

    Yangning Li

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32. Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
    EMNLP 2025 ·

    Tzu-Ling Lin

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33. Breeding-aware Revenue Maximization for NFT Viral Marketing on Social Networks
    SIGKDD 2025 ·

    Ya-Wen Teng

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34. Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
    ACL 2025 ·

    Leyi Pan

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35. Can Watermarked LLMs be Identified by Users via Crafted Prompts?
    ICLR 2025 ·

    Aiwei Liu

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36. Community Detection in Large-Scale Complex Networks via Structural Entropy Game
    WWW 2025 ·

    Yantuan Xian

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37. Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
    NeurIPS 2025 ·

    Li Sun

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38. Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation
    ICDM 2025 ·

    Yue Wang

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39. Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning
    CIKM 2025 ·

    Kun Peng

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40. DiffPuter: Empowering Diffusion Models for Missing Data Imputation
    ICLR 2025 ·

    Hengrui Zhang

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41. Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
    NeurIPS 2025 ·

    Yusheng Zhao

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42. Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
    NeurIPS 2025 ·

    Yankai Chen

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43. Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation
    EMNLP 2025 ·

    Kun Peng

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44. Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding
    ICDM 2025 ·

    Chin-Yuan Yeh

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45. FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract)
    ICDE 2025 ·

    Xinqi Du

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46. Frontiers in Graph Machine Learning for the Large Model Era
    CIKM 2025 ·

    Qingyun Sun

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47. GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
    NeurIPS 2025 ·

    Haonan Yuan

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48. GeoEdit: Geometric Knowledge Editing for Large Language Models
    EMNLP 2025 ·

    Yujie Feng

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49. Glocal Information Bottleneck for Time Series Imputation
    NeurIPS 2025 ·

    Jie Yang

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50. Graph Neural Controlled Differential Equations For Collaborative Filtering
    WWW 2025 ·

    Ke Xu

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51. Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
    WWW 2025 ·

    Yuwei Cao

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52. HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract)
    ICDE 2025 ·

    Lu Bai

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53. Hierarchical Superpixel Segmentation via Structural Information Theory
    SDM 2025 ·

    Minhui Xie

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54. How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
    ICML 2025 ·

    Haonan Yuan

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55. IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
    ICLR 2025 ·

    Jiawen Qin

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56. InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
    CIKM 2025 ·

    Zhichen Zeng

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57. Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings
    CIKM 2025 ·

    Yue Huang

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58. Judge Anything: MLLM as a Judge Across Any Modality
    SIGKDD 2025 ·

    Shu Pu

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59. LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction
    WWW 2025 ·

    Di Jin

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60. LLM Agents for Education: Advances and Applications
    EMNLP 2025 ·

    Zhendong Chu

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61. LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
    EMNLP 2025 ·

    Weizhi Zhang

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62. Large Language Model Simulator for Cold-Start Recommendation
    WSDM 2025 ·

    Feiran Huang

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63. MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
    ACL 2025 ·

    Yibo Yan

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64. 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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65. Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
    EMNLP 2025 ·

    Yusheng Zhao

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66. One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
    ICML 2025 ·

    Yinghui Li

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67. Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint)
    IJCAI 2025 ·

    Zhilin Zhao

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68. Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
    AAAI 2025 ·

    Li Sun

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69. Position: LLMs Can be Good Tutors in English Education
    EMNLP 2025 ·

    Jingheng Ye

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70. Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages
    NAACL 2025 ·

    Hoang H. Nguyen

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71. ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing
    ACL 2025 ·

    Xiuxuan Shen

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72. RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
    EMNLP 2025 ·

    Qingsong Lv

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73. Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
    ACL 2025 ·

    Yujie Feng

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74. Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
    ICLR 2025 ·

    Yinghui Li

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75. Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
    ACL 2025 ·

    Yinghui Li

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76. RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry
    WWW 2025 ·

    Li Sun

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77. Robust Graph Condensation via Classification Complexity Mitigation
    NeurIPS 2025 ·

    Jiayi Luo

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78. SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
    ICML 2025 ·

    Junyou Zhu

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79. SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation
    RecSys 2025 ·

    Weizhi Zhang

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80. SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data
    NeurIPS 2025 ·

    Xin Zhang

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81. Seeking and Updating with Live Visual Knowledge
    NeurIPS 2025 ·

    Mingyang Fu

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82. Structural Entropy Guided Probabilistic Coding
    AAAI 2025 ·

    Xiang Huang

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83. Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection
    ACL 2025 ·

    Lingwei Wei

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84. T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction
    IJCAI 2025 ·

    Kun Peng

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85. TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
    ACL 2025 ·

    Liancheng Fang

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86. TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
    ICLR 2025 ·

    Aiwei Liu

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87. TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
    ICML 2025 ·

    Hengrui Zhang

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88. Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
    EMNLP 2025 ·

    Yangning Li

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89. TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
    ACL 2025 ·

    Henry Peng Zou

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90. The 14th International Workshop on Urban Computing
    SIGKDD 2025 ·

    Yuxuan Liang

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91. The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking
    WWW 2025 ·

    Qingsong Wen

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92. The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking
    SIGKDD 2025 ·

    Qingsong Wen

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93. Topology-Aware Conformal Prediction for Stream Networks
    NeurIPS 2025 ·

    Jifan Zhang

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94. Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
    AAAI 2025 ·

    Xiaoyan Yu

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95. Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation
    IJCAI 2025 ·

    Li Sun

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96. Training Large Recommendation Models via Graph-Language Tokens Alignment
    WWW 2025 ·

    Mingdai Yang

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97. WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents
    NAACL 2025 ·

    Leyi Pan

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98. 3rd International Workshop on Industrial Recommendation Systems (IRS)
    CIKM 2024 ·

    Luyi Ma

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99. AI Agent for Information Retrieval: Generating and Ranking
    CIKM 2024 ·

    Yongfeng Zhang

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100. Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
     AAAI 2024 ·

     Jingyu Pu

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101. An Unforgeable Publicly Verifiable Watermark for Large Language Models
     ICLR 2024 ·

     Aiwei Liu

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102. BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization
     SIGKDD 2024 ·

     Zhongyi Pei

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103. Collaborative Alignment for Recommendation
     CIKM 2024 ·

     Chen Wang

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104. DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
     CIKM 2024 ·

     Xiaoyan Yu

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105. DA³: A Distribution-Aware Adversarial Attack against Language Models
     EMNLP 2024 ·

     Yibo Wang

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106. DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
     NAACL 2024 ·

     Wenting Zhao

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107. Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
     CIKM 2024 ·

     Weizhi Zhang

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108. Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer
     AAAI 2024 ·

     Xiaorui Su

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109. Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions
     ACL 2024 ·

     Xuming Hu

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110. From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire
     WWW 2024 ·

     Yue Huang

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111. GC-Bench: An Open and Unified Benchmark for Graph Condensation
     NeurIPS 2024 ·

     Qingyun Sun

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112. Graph Neural Networks for Brain Graph Learning: A Survey
     IJCAI 2024 ·

     Xuexiong Luo

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113. Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model
     WWW 2024 ·

     Wenting Zhao

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114. Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
     AAAI 2024 ·

     Yuwei Cao

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115. ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
     ACL 2024 ·

     Henry Peng Zou

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116. InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data
     CIKM 2024 ·

     Hengrui Zhang

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117. Instruction-based Hypergraph Pretraining
     SIGIR 2024 ·

     Mingdai Yang

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118. Knowledge Graph Context-Enhanced Diversified Recommendation
     WSDM 2024 ·

     Xiaolong Liu

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119. LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
     EMNLP 2024 ·

     Jiangshu Du

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120. LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
     ICML 2024 ·

     Li Sun

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121. Lecture-style Tutorial: Towards Graph Foundation Models
     WWW 2024 ·

     Chuan Shi

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122. MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting
     CIKM 2024 ·

     Zehao Gu

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123. MarkLLM: An Open-Source Toolkit for LLM Watermarking
     EMNLP 2024 ·

     Leyi Pan

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124. Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
     AAAI 2024 ·

     Li Sun

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125. Multi-Relational Structural Entropy
     UAI 2024 ·

     Yuwei Cao

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126. Open Metaverse: Issues, Evolution, and Future
     WWW 2024 ·

     Zefeng Chen

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127. PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
     SIGKDD 2024 ·

     Ronghui Xu

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128. Position: TrustLLM: Trustworthiness in Large Language Models
     ICML 2024 ·

     Yue Huang

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129. Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation
     SIGKDD 2024 ·

     Chen Wang

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130. Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction
     SDM 2024 ·

     Kun Peng

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131. RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
     WSDM 2024 ·

     Xusheng Zhao

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132. Revisit Orthogonality in Graph-Regularized MLPs
     CIKM 2024 ·

     Hengrui Zhang

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133. RicciNet: Deep Clustering via A Riemannian Generative Model
     WWW 2024 ·

     Li Sun

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134. Spiking Graph Neural Network on Riemannian Manifolds
     NeurIPS 2024 ·

     Li Sun

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135. Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
     ACL 2024 ·

     Tao Zhang

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136. The 13th International Workshop on Urban Computing
     SIGKDD 2024 ·

     Yuxuan Liang

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137. Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
     AAAI 2024 ·

     Xuming Hu

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138. Towards Understanding Factual Knowledge of Large Language Models
     ICLR 2024 ·

     Xuming Hu

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139. Unified Pretraining for Recommendation via Task Hypergraphs
     WSDM 2024 ·

     Mingdai Yang

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140. When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
     NeurIPS 2024 ·

     Yinghui Li

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141. kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
     NAACL 2024 ·

     Wenting Zhao

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