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Nitesh V. Chawla

  1. A unifying view on dataset shift in classification
    2011/07/23 by Jose G. Moreno-Torres, Troy Raeder, Rocío Aláiz-Rodríguez +3 · 118 citations
    Computer Science · #Data Stream Mining Techniques #Machine Learning and Data Classification #Imbalanced Data Classification Techniques
  2. Large Language Model based Multi-Agents: A Survey of Progress and Challenges
    2024/01/21 by Taicheng Guo, Guo, Taicheng, Xiuying Chen +13 · 1 voice · 267 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #cs.AI #cs.CL #cs.MA
  3. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
    2024/10/03 by Jiayi Ye, Yanbo Wang, Ye, Jiayi +21 · 123 citations
    Business, Management and Accounting · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Dispute Resolution and Class Actions #FOS: Computer and information sciences #Judicial and Constitutional Studies #Law, Economics, and Judicial Systems
  4. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
    2024/02/12 by Xiaoxin He, He, Xiaoxin, Yijun Tian +13 · 75 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  5. What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
    2023/05/27 by Taicheng Guo, Guo, Taicheng, Kehan Guo +12 · 61 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Materials Science #Topic Modeling
  6. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
    2018/11/20 by Chuxu Zhang, Zhang, Chuxu, Dongjin Song +17 · 23 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection #Time Series Analysis and Forecasting
  7. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
    2024/02/07 by Yijun Tian, Yikun Han, Tian, Yijun +7 · 22 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  8. DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
    2021/05/05 by Damien Dablain, Bartosz Krawczyk, Dablain, Damien +3 · 10 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image and Object Detection Techniques #Machine Learning (cs.LG)
  9. Graph Neural Prompting with Large Language Models
    2023/09/27 by Yijun Tian, Tian, Yijun, Huan Song +13 · 14 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  10. Graph-based Molecular Representation Learning
    2022/07/08 by Zhichun Guo, Kehan Guo, Guo, Zhichun +19 · 11 citations
    Chemistry · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM) #Various Chemistry Research Topics
  11. Few-Shot Knowledge Graph Completion
    2019/11/26 by Chuxu Zhang, Zhang, Chuxu, Huaxiu Yao +9 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  12. GFT: Graph Foundation Model with Transferable Tree Vocabulary
    2024/11/09 by Zehong Wang, Wang, Zehong, Zheyuan Zhang +7 · 26 citations
    Computer Science · #Semantic Web and Ontologies #Natural Language Processing Techniques #Graph Theory and Algorithms
  13. Graph Few-shot Learning via Knowledge Transfer
    2019/10/07 by Huaxiu Yao, Chuxu Zhang, Yao, Huaxiu +13 · 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) #Machine Learning and ELM
  14. Knowledge Distillation on Graphs: A Survey
    2023/02/01 by Yijun Tian, Shichao Pei, Tian, Yijun +7 · 7 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  15. Heterogeneous Graph Masked Autoencoders
    2022/08/21 by Yijun Tian, Tian, Yijun, Kaiwen Dong +7 · 5 citations
    Computer Science · Decision Sciences · Social Sciences · #Advanced Graph Neural Networks #Computational and Text Analysis Methods #Data Quality and Management
  16. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
    2024/02/22 by Lirong Wu, Yijun Tian, Wu, Lirong +11 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
    2022/05/24 by Yijun Tian, Chuxu Zhang, Tian, Yijun +9 · 4 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks
  18. Class-Imbalanced Learning on Graphs: A Survey
    2023/04/09 by Yihong Ma, Ma, Yihong, Yijun Tian +5 · 5 citations
    Computer Science · Health Professions · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
  19. On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
    2025/02/20 by Y. Huang, Chujie Gao, Huang, Yue +128 · 17 citations
    Computer Science · Engineering · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Slime Mold and Myxomycetes Research
  20. Pure Message Passing Can Estimate Common Neighbor for Link Prediction
    2023/09/02 by Kaiwen Dong, Zhichun Guo, Dong, Kaiwen +3 · 5 citations
    Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  21. Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
    2024/12/21 by Zehong Wang, Zheyuan Zhang, Wang, Zehong +9 · 11 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online Learning and Analytics #Social and Information Networks (cs.SI)
  22. Graph Foundation Models: A Comprehensive Survey
    2025/05/21 by Zehong Wang, Zheyuan Liu, Wang, Zehong +33 · 9 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Social and Information Networks (cs.SI)
  23. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
    2024/02/21 by Zheyuan Zhang, Zhang, Zheyuan, Zehong Wang +17 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · Medicine · #Advanced Chemical Sensor Technologies #Artificial Intelligence (cs.AI) #Diet and metabolism studies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metabolomics and Mass Spectrometry Studies #Social and Information Networks (cs.SI)
  24. SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance
    2022/03/19 by Zhichun Guo, Guo, Zhichun, Jun Tao +7 · 2 citations
    Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Data Visualization and Analytics #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Graphics (cs.GR) #Multimedia Communication and Technology
  25. Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
    2022/05/24 by Yijun Tian, Chuxu Zhang, Tian, Yijun +9 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Boosting Graph Neural Networks via Adaptive Knowledge Distillation
    2022/10/12 by Zhichun Guo, Guo, Zhichun, Chunhui Zhang +9 · 2 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  27. Linkless Link Prediction via Relational Distillation
    2022/10/11 by Zhichun Guo, Guo, Zhichun, William Shiao +11 · 2 citations
    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)
  28. Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
    2024/05/16 by Lirong Wu, Wu, Lirong, Yijun Tian +11 · 4 citations
    Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
  29. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
    2024/12/12 by Zheyuan Zhang, Zehong Wang, Zhang, Zheyuan +18 · 8 citations
    Medicine · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Nutritional Studies and Diet
  30. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
    2024/09/18 by Peiyuan Li, Xiaobao Huang, Li, Peiyu +5 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
  31. Universal Link Predictor By In-Context Learning on Graphs
    2024/02/12 by Kaiwen Dong, Dong, Kaiwen, Haitao Mao +5 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Software Testing and Debugging Techniques
  32. Deep Ensembles for Graphs with Higher-order Dependencies
    2022/05/27 by Steven J. Krieg, William C. Burgis, Krieg, Steven J. +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. Beyond Message Passing: Neural Graph Pattern Machine
    2025/01/30 by Zehong Wang, Zheyuan Zhang, Wang, Zehong +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Social and Information Networks (cs.SI)
  34. Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
    2025/02/14 by Kehan Guo, Yili Shen, Guo, Kehan +18 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · Environmental Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metabolomics and Mass Spectrometry Studies #Various Chemistry Research Topics #Water Quality Monitoring and Analysis
  35. RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers
    2022/07/18 by Md Nafee Al Islam, Yihong Ma, Islam, Md Nafee Al +7 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Multiagent Systems (cs.MA) #Software Engineering (cs.SE) #Time Series Analysis and Forecasting
  36. Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning
    2022/07/13 by Damien Dablain, Bartosz Krawczyk, Dablain, Damien +3 · 1 citation
    Computer Science · Social Sciences · #Artificial Intelligence in Law #Computers and Society (cs.CY) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
  37. NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
    2022/08/22 by Yijun Tian, Chuxu Zhang, Tian, Yijun +7 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  38. Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
    2024/05/28 by Yuying Duan, Duan, Yuying, Yijun Tian +5 · 2 citations
    Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
  39. UGMAE: A Unified Framework for Graph Masked Autoencoders
    2024/02/12 by Yijun Tian, Chuxu Zhang, Tian, Yijun +9 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Gene expression and cancer classification #Graph Theory and Algorithms
  40. NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
    2024/12/20 by Zheyuan Zhang, Zhang, Zheyuan, Yiyang Li +20 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling #Semantic Web and Ontologies
  41. AnyLoss: Transforming Classification Metrics into Loss Functions
    2024/05/23 by Doheon Han, Nuno Moniz, Han, Doheon +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  42. Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
    2022/12/01 by Tânia Carvalho, Nuno Moniz, Carvalho, Tânia +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  43. Node Duplication Improves Cold-start Link Prediction
    2024/02/15 by Zhichun Guo, Guo, Zhichun, Tong Zhao +12 · 1 citation
    Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Ionosphere and magnetosphere dynamics #Machine Learning (cs.LG) #Magnetic confinement fusion research #Particle accelerators and beam dynamics #Social and Information Networks (cs.SI)
  44. FakeEdge: Alleviate Dataset Shift in Link Prediction
    2022/11/29 by Kaiwen Dong, Yijun Tian, Dong, Kaiwen +7 · 1 citation
    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) #Opinion Dynamics and Social Influence #Social and Information Networks (cs.SI)
  45. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
    2024/10/16 by Anna Sokol, Sokol, Anna, Elizabeth Daly +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  46. The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
    2025/10/02 by Nguyen, Phuc Minh, Chinh La, Duy M. H. Nguyen +8 · 2 citations
    Computer Science · #Natural Language Processing Techniques
  47. Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
    2025/10/26 by P Li, Li, Peiyu, Xiuxiu Tang +11 · 2 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Psychometric Methodologies and Testing #Topic Modeling