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Tang, Jiliang

  1. Graph Neural Networks for Social Recommendation
    2019/02/19 by Wenqi Fan, Yao Ma, Fan, Wenqi +11 · 62 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
  2. Fake News Detection on Social Media: A Data Mining Perspective
    2017/08/07 by Kai Shu, Amy Sliva, Shu, Kai +7 · 30 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #H.2.8 #Misinformation and Its Impacts #Sentiment Analysis and Opinion Mining #Social and Information Networks (cs.SI) #Spam and Phishing Detection
  3. Graph Structure Learning for Robust Graph Neural Networks
    2020/05/20 by Wei Jin, Yao Ma, Jin, Wei +9 · 29 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  4. Large Language Models for Education: A Survey and Outlook
    2024/03/26 by Shen Wang, T. Xu, Wang, Shen +14 · 55 citations
    Computer Science · #Topic Modeling
  5. Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
    2023/07/07 by Zhikai Chen, Haitao Mao, Chen, Zhikai +19 · 27 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  6. TrustLLM: Trustworthiness in Large Language Models
    2024/01/01 by Yue Huang, Lichao Sun, Huang, Yue +136 · 30 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI)
  7. The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
    2024/02/23 by Shenglai Zeng, Jiankun Zhang, Zeng, Shenglai +19 · 27 citations
    Social Sciences · Computer Science · Decision Sciences · #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #Technology Adoption and User Behaviour
  8. Retrieval-Augmented Generation with Graphs (GraphRAG)
    2024/12/31 by Haoyu Han, Han, Haoyu, Yu Wang +32 · 38 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning and Algorithms #DNA and Biological Computing
  9. Multimodal Recommender Systems: A Survey
    2023/02/08 by Liu, Qidong, Hu, Jiaxi, Xiao, Yutian +5 · 16 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  10. Is Homophily a Necessity for Graph Neural Networks?
    2021/06/11 by Yao Ma, Xiaorui Liu, Ma, Yao +5 · 10 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
  11. To be Robust or to be Fair: Towards Fairness in Adversarial Training
    2020/10/13 by Han Xu, Xu, Han, Liu, Xiaorui +4 · 9 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
    2019/09/17 by Xu, Han, Ma, Yao, Liu, Haochen +4 · 8 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
    2024/06/16 by Yuping Lin, Peng He, Lin, Yuping +11 · 16 citations
    Computer Science · #Digital and Cyber Forensics #Cybercrime and Law Enforcement Studies #Information and Cyber Security
  14. pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
    2022/06/23 by Zitao Liu, Liu, Zitao, Qiongqiong Liu +9 · 8 citations
    Computer Science · #Online Learning and Analytics #Machine Learning and Data Classification #Topic Modeling
  15. Generative Diffusion Models on Graphs: Methods and Applications
    2023/02/06 by Cheng-Yi Liu, Liu, Chengyi, Wenqi Fan +13 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  16. A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
    2023/11/15 by Jie Ren, Han Xu, Ren, Jie +11 · 11 citations
    Computer Science · #Topic Modeling #Internet Traffic Analysis and Secure E-voting #Natural Language Processing Techniques
  17. Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
    2024/03/17 by Ren, Jie, Li, Yaxin, Zeng, Shenglai +4 · 12 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  18. Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
    2023/06/18 by Juanhui Li, Li, Juanhui, Harry Shomer +13 · 10 citations
    Computer Science · Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Bioinformatics and Genomic Networks
  19. DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
    2023/05/25 by Yingqian Cui, Cui, Yingqian, Jie Ren +11 · 9 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Steganography and Watermarking Techniques #Digital Media Forensic Detection
  20. Unveiling Privacy Risks in LLM Agent Memory
    2025/02/17 by Bo Wang, Wang, Bo, Weiyi He +11 · 20 citations
    Computer Science · #Cloud Data Security Solutions #Security and Verification in Computing #Privacy-Preserving Technologies in Data
  21. A Survey of Signed Network Mining in Social Media
    2015/11/24 by Jiliang Tang, Yi Chang, Tang, Jiliang +5 · 5 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Opinion Dynamics and Social Influence
  22. Streaming Graph Neural Networks
    2018/10/24 by Ma, Yao, Guo, Ziyi, Ren, Zhaochun +3 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Position: Graph Foundation Models are Already Here
    2024/02/03 by Mao, Haitao, Chen, Zhikai, Tang, Wenzhuo +6 · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Graph Condensation for Graph Neural Networks
    2021/10/14 by Wei Jin, Lingxiao Zhao, Jin, Wei +9 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Graph Theory and Algorithms
  25. A Unified View on Graph Neural Networks as Graph Signal Denoising
    2020/10/05 by Ma, Yao, Liu, Xiaorui, Zhao, Tong +3 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
    2024/06/15 by Zhikai Chen, Haitao Mao, Chen, Zhikai +19 · 11 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cellular Automata and Applications #DNA and Biological Computing #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Empowering Graph Representation Learning with Test-Time Graph Transformation
    2022/10/07 by Jin, Wei, Zhao, Tong, Ding, Jiayuan +3 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Trustworthy AI: A Computational Perspective
    2021/07/12 by Haochen Liu, Yiqi Wang, Liu, Haochen +15 · 5 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  29. Self-supervised Learning on Graphs: Deep Insights and New Direction
    2020/06/17 by Wei Jin, Tyler Derr, Jin, Wei +11 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  30. A Large Scale Search Dataset for Unbiased Learning to Rank
    2022/07/07 by Lixin Zou, Haitao Mao, Zou, Lixin +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval and Search Behavior #Multimodal Machine Learning Applications
  31. Graph Convolutional Networks with EigenPooling
    2019/04/30 by Ma, Yao, Wang, Suhang, Aggarwal, Charu C. +1 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
    2019/09/09 by Zhao, Xiangyu, Gu, Changsheng, Zhang, Haoshenglun +4 · 4 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  33. Does Gender Matter? Towards Fairness in Dialogue Systems
    2019/10/16 by Haochen Liu, Jamell Dacon, Liu, Haochen +9 · 5 citations
    Computer Science · Social Sciences · #Topic Modeling #Ethics and Social Impacts of AI #Hate Speech and Cyberbullying Detection
  34. Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
    2024/06/20 by Shenglai Zeng, Zeng, Shenglai, Jiankun Zhang +17 · 9 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques
  35. Node Similarity Preserving Graph Convolutional Networks
    2020/11/19 by Wei Jin, Jin, Wei, Tyler Derr +9 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  36. Learning Hierarchical Discourse-level Structure for Fake News Detection
    2019/02/27 by Hamid Reza Karimi, Jiliang Tang, Karimi, Hamid +1 · 4 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Misinformation and Its Impacts #Spam and Phishing Detection #Topic Modeling
  37. Exploring Memorization in Fine-tuned Language Models
    2023/10/10 by Zeng, Shenglai, Li, Yaxin, Ren, Jie +7 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  38. Deep Reinforcement Learning for List-wise Recommendations
    2017/12/30 by Zhao, Xiangyu, Zhang, Liang, Xia, Long +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  39. RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
    2025/02/17 by Haoyu Han, Han, Haoyu, Yu Wang +17 · 14 citations
    Computer Science · #AI-based Problem Solving and Planning #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  40. How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
    2024/10/04 by Xinnan Dai, Haohao Qu, Dai, Xinnan +15 · 10 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Topic Modeling
  41. Label-free Node Classification on Graphs with Large Language Models (LLMS)
    2023/10/07 by Zhikai Chen, Haitao Mao, Chen, Zhikai +13 · 5 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  42. DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
    2020/05/13 by Li, Yaxin, Jin, Wei, Xu, Han +1 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  43. How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior
    2025/05/21 by Xiong, Zidi, Lin, Yuping, Xie, Wenya +5 · 16 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  44. Linear Convergent Decentralized Optimization with Compression
    2020/07/01 by Liu, Xiaorui, Li, Yao, Wang, Rongrong +2 · 3 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
  45. Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
    2020/08/31 by Wang, Zhiwei, Chen, Zhengzhang, Ni, Jingchao +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  46. Memory Injection Attacks on LLM Agents via Query-Only Interaction
    2025/03/05 by Dong, Shen, Xu, Shaochen, He, Pengfei +5 · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. R-Transformer: Recurrent Neural Network Enhanced Transformer
    2019/07/12 by Zhiwei Wang, Yao Ma, Wang, Zhiwei +5 · 4 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting #electronic engineering #information engineering
  48. Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
    2023/06/02 by Mao, Haitao, Chen, Zhikai, Jin, Wei +5 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  49. Bringing Generative AI to Adaptive Learning in Education
    2024/02/02 by Hang Li, Li, Hang, Tianlong Xu +15 · 5 citations
    Computer Science · #Online Learning and Analytics
  50. Rethinking Large Language Model Architectures for Sequential Recommendations
    2024/02/14 by Wang, Hanbing, Liu, Xiaorui, Fan, Wenqi +7 · 5 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  51. Data Poisoning for In-context Learning
    2024/02/03 by He, Pengfei, Xu, Han, Xing, Yue +3 · 5 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  52. PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
    2024/06/04 by Bingheng Li, Li, Bingheng, Linxin Yang +19 · 6 citations
    Computer Science · Engineering · #Advanced Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications #Optimization and Control (math.OC)
  53. Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
    2023/07/19 by Jin, Wei, Mao, Haitao, Li, Zheng +17 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  54. Copyright Protection in Generative AI: A Technical Perspective
    2024/02/04 by Jie Ren, Xu Han, Ren, Jie +21 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Machine Learning (cs.LG)
  55. A Survey on Post-training of Large Language Models
    2025/03/08 by Tie, Guiyao, Zhao, Zeli, Song, Dingjie +23 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  56. Transferable Unlearnable Examples
    2022/10/18 by Jie Ren, Ren, Jie, Xu Han +9 · 3 citations
    Decision Sciences · Computer Science · #Data Quality and Management #Privacy-Preserving Technologies in Data #Big Data Technologies and Applications
  57. Automatic Short Answer Grading via Multiway Attention Networks
    2019/09/23 by Liu, Tiaoqiao, Ding, Wenbiao, Wang, Zhiwei +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  58. Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
    2020/03/02 by Wei Jin, Yaxin Li, Jin, Wei +11 · 6 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Advanced Graph Neural Networks #Ethics and Social Impacts of AI
  59. Characterizing the Decision Boundary of Deep Neural Networks
    2019/12/24 by Karimi, Hamid, Derr, Tyler, Tang, Jiliang · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  60. AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
    2020/02/26 by Zhao, Xiangyu, Wang, Chong, Chen, Ming +3 · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  61. Attacking Black-box Recommendations via Copying Cross-domain User Profiles
    2020/05/17 by Fan, Wenqi, Derr, Tyler, Zhao, Xiangyu +5 · 2 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  62. Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
    2020/09/28 by Haochen Liu, Wentao Wang, Liu, Haochen +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  63. Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
    2020/09/02 by Xu, Han, Li, Yaxin, Liu, Xiaorui +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  64. Elastic Graph Neural Networks
    2021/07/05 by Liu, Xiaorui, Jin, Wei, Ma, Yao +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  65. Exploring Query Understanding for Amazon Product Search
    2024/08/05 by Chen Luo, Luo, Chen, Xianfeng Tang +27 · 4 citations
    Computer Science · #Web Data Mining and Analysis
  66. Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
    2024/07/16 by Kai Guo, Zewen Liu, Guo, Kai +11 · 4 citations
    Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Natural Language Processing Techniques
  67. Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
    2024/02/07 by Lee, Soo Yong, Kim, Sunwoo, Bu, Fanchen +3 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  68. Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
    2024/02/13 by Kai Guo, Hongzhi Wen, Guo, Kai +9 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  69. Mixture of Link Predictors on Graphs
    2024/02/13 by Ma, Li, Han, Haoyu, Li, Juanhui +4 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  70. Are Large Language Models (LLMs) Good Social Predictors?
    2024/02/20 by Kaiqi Yang, Yang, Kaiqi, Hang Li +9 · 3 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computers and Society (cs.CY) #FOS: Computer and information sciences #Topic Modeling
  71. Automate Knowledge Concept Tagging on Math Questions with LLMs
    2024/03/26 by Li, Hang, Xu, Tianlong, Tang, Jiliang +1 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  72. Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
    2024/11/21 by Zeng, Shenglai, Zhang, Jiankun, Li, Bingheng +8 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  73. Superiority of Multi-Head Attention in In-Context Linear Regression
    2024/01/30 by Cui, Yingqian, Ren, Jie, He, Pengfei +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  74. Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
    2024/06/05 by Haoyu Han, Han, Haoyu, Juanhui Li +13 · 3 citations
    Computer Science · #Advanced Graph Neural Networks
  75. On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
    2024/06/04 by Liu, Guangliang, Mao, Haitao, Cao, Bochuan +5 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  76. Empowering GraphRAG with Knowledge Filtering and Integration
    2025/03/18 by Guo, Kai, Shomer, Harry, Zeng, Shenglai +3 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  77. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
    2016/08/14 by Makoto Yamada, Jiliang Tang, Yamada, Makoto +23 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Advanced Proteomics Techniques and Applications #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning in Bioinformatics #Metabolomics and Mass Spectrometry Studies
  78. Streaming Recommender Systems
    2016/07/21 by Shiyu Chang, Chang, Shiyu, Jiliang Tang +10 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Recommender Systems and Techniques #Social and Information Networks (cs.SI)
  79. Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
    2025/02/18 by Cui, Yingqian, He, Pengfei, Zeng, Jingying +11 · 5 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  80. SA-GDA: Spectral Augmentation for Graph Domain Adaptation
    2024/08/17 by Jinhui Pang, Pang, Jinhui, Zixuan Wang +7 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  81. Graph-level Representation Learning with Joint-Embedding Predictive Architectures
    2023/09/27 by Geri Skenderi, Skenderi, Geri, Hang Li +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  82. FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
    2023/10/03 by Cui, Yingqian, Ren, Jie, Lin, Yuping +7 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  83. Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
    2024/10/16 by Jie Ren, Kangrui Chen, Ren, Jie +11 · 3 citations
    Computer Science · #Natural Language Processing Techniques
  84. Signed Graph Convolutional Network
    2018/08/20 by Derr, Tyler, Ma, Yao, Tang, Jiliang · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  85. Revisiting Link Prediction: A Data Perspective
    2023/10/01 by Mao, Haitao, Li, Juanhui, Shomer, Harry +6 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  86. Deep Adversarial Network Alignment
    2019/02/27 by Tyler Derr, Hamid Reza Karimi, Derr, Tyler +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  87. Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
    2024/07/21 by Guangliang Liu, Haitao Mao, Liu, Guangliang +5 · 3 citations
    Decision Sciences · Neuroscience · #Computation and Language (cs.CL) #Ethics in Business and Education #FOS: Computer and information sciences #Psychology of Moral and Emotional Judgment
  88. Deep Knowledge Tracing with Side Information
    2019/09/01 by Wang, Zhiwei, Feng, Xiaoqin, Tang, Jiliang +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  89. The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
    2021/05/06 by Liu, Haochen, Jin, Wei, Karimi, Hamid +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  90. Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
    2024/11/12 by Li, Juanhui, Nag, Sreyashi, Liu, Hui +7 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  91. Personalized Multimodal Feedback Generation in Education
    2020/10/31 by Liu, Haochen, Liu, Zitao, Wu, Zhongqin +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  92. Graph Feature Gating Networks
    2021/05/10 by Wei Jin, Xiaorui Liu, Jin, Wei +9 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Recommender Systems and Techniques
  93. Automated Self-Supervised Learning for Graphs
    2021/06/10 by Jin, Wei, Liu, Xiaorui, Zhao, Xiangyu +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  94. A Pure Transformer Pretraining Framework on Text-attributed Graphs
    2024/06/19 by Yu Song, Haitao Mao, Song, Yu +14 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques
  95. Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
    2024/06/04 by Tang, Wenzhuo, Mao, Haitao, Dervovic, Danial +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  96. Toward Annotator Group Bias in Crowdsourcing
    2021/10/08 by Haochen Liu, Joseph Thekinen, Liu, Haochen +13 · 1 citation
    Computer Science · #Mobile Crowdsensing and Crowdsourcing #Data Stream Mining Techniques #Machine Learning and Data Classification
  97. Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation
    2025/04/07 by Yucheng Chu, Chu, Yucheng, Peng He +15 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Multimodal Machine Learning Applications #Topic Modeling
  98. Graph Enhanced BERT for Query Understanding
    2022/04/03 by Juanhui Li, Li, Juanhui, Yao Ma +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Topic Modeling
  99. Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals
    2022/06/15 by Jamell Dacon, Dacon, Jamell, Harry Shomer +5 · 1 citation
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Misinformation and Its Impacts #Spam and Phishing Detection
  100. Learning Representations for Hyper-Relational Knowledge Graphs
    2022/08/30 by Shomer, Harry, Jin, Wei, Li, Juanhui +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  101. Test-Time Training for Graph Neural Networks
    2022/10/17 by Wang, Yiqi, Li, Chaozhuo, Jin, Wei +4 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  102. A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
    2024/10/21 by Yingqian Cui, Cui, Yingqian, Pengfei He +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Computation and Language (cs.CL) #Distributed systems and fault tolerance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  103. LLM-based Automated Grading with Human-in-the-Loop
    2025/04/07 by Chu, Yucheng, Li, Hang, Yang, Kaiqi +2 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  104. Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
    2025/02/27 by Lei, Yongjia, Han, Haoyu, Rossi, Ryan A. +5 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  105. Whole Page Unbiased Learning to Rank
    2022/10/19 by Haitao Mao, Mao, Haitao, Lixin Zou +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Recommender Systems and Techniques #Text and Document Classification Technologies
  106. On the Generalization of Training-based ChatGPT Detection Methods
    2023/10/02 by Xu, Han, Ren, Jie, He, Pengfei +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  107. TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
    2025/10/06 by Pengfei He, He, Pengfei, Zhenwei Dai +23 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  108. Towards Neural Scaling Laws on Graphs
    2024/02/03 by Jingzhe Liu, Haitao Mao, Liu, Jingzhe +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  109. A Survey to Recent Progress Towards Understanding In-Context Learning
    2024/02/03 by Mao, Haitao, Liu, Guangliang, Ma, Yao +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  110. Graph Trend Filtering Networks for Recommendations
    2021/08/12 by Fan, Wenqi, Liu, Xiaorui, Jin, Wei +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  111. Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning
    2024/10/18 by He, Pengfei, Li, Zitao, Xing, Yue +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  112. Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
    2024/06/21 by Ren, Jie, Chen, Kangrui, Cui, Yingqian +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  113. A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
    2024/10/03 by Chu, Yucheng, Li, Hang, Yang, Kaiqi +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  114. To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
    2025/06/03 by Pengfei He, Zhenwei Dai, He, Pengfei +20 · 3 citations
    Computer Science · #Cloud Data Security Solutions #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  115. One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
    2024/11/30 by Liu, Jingzhe, Mao, Haitao, Chen, Zhikai +6 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  116. AutoG: Towards automatic graph construction from tabular data
    2025/01/25 by Zhikai Chen, Han Xie, Chen, Zhikai +11 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications #Natural Language Processing Techniques
  117. Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
    2025/09/29 by Liu, Jingzhe, Collins, Liam, Tang, Jiliang +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  118. Aligning Large Language Models and Geometric Deep Models for Protein Representation
    2024/11/08 by Shu, Dong, Duan, Bingbing, Guo, Kai +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
  119. Learning Multi-level Dependencies for Robust Word Recognition
    2019/11/22 by Zhiwei Wang, Wang, Zhiwei, Hui Liu +9 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Handwritten Text Recognition Techniques
  120. Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path
    2024/08/18 by Xinnan Dai, Qihao Wen, Dai, Xinnan +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies #Topic Modeling
  121. Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
    2025/01/14 by Han, Haoyu, Xie, Yaochen, Liu, Hui +8 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  122. Multi-Faceted Studies on Data Poisoning can Advance LLM Development
    2025/02/20 by Pengfei He, Yue Xing, He, Pengfei +7 · 1 citation
    Decision Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management