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He, Jingrui

  1. EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
    2021/10/07 by Ban, Yikun, Yan, Yuchen, Banerjee, Arindam +1 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
    2019/06/05 by Jun Wu, Wu, Jun, Jingrui He +3 · 5 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Non-IID Transfer Learning on Graphs
    2022/12/15 by Wu, Jun, He, Jingrui, Ainsworth, Elizabeth · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
    2022/10/07 by Tianxin Wei, Wei, Tianxin, Yuning You +9 · 7 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Graph Neural Networks #Topic Modeling
  5. Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
    2024/03/15 by Tianxin Wei, Bowen Jin, Wei, Tianxin +19 · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Multimedia (cs.MM) #Recommender Systems and Techniques #Topic Modeling
  6. Latent Collaboration in Multi-Agent Systems
    2025/11/25 by Jiaru Zou, Zou, Jiaru, Ruizhong Qiu +23 · 4 voices · 3 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.LG
  7. Class-Imbalanced Graph Learning without Class Rebalancing
    2023/08/27 by Zhining Liu, Ruizhong Qiu, Liu, Zhining +17 · 9 citations
    Social Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Computing and Algorithms #Machine Learning in Bioinformatics #Advanced Graph Neural Networks
  8. A Unified Meta-Learning Framework for Dynamic Transfer Learning
    2022/07/05 by Jun Wu, Wu, Jun, Jingrui He +1 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  9. FairGen: Towards Fair Graph Generation
    2023/03/30 by Lecheng Zheng, Zheng, Lecheng, Dawei Zhou +9 · 6 citations
    Computer Science · Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Qualitative Comparative Analysis Research #Social and Information Networks (cs.SI)
  10. Adaptive Test-Time Personalization for Federated Learning
    2023/10/28 by Bao, Wenxuan, Wei, Tianxin, Wang, Haohan +1 · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Dataset Distillation via the Wasserstein Metric
    2023/11/30 by Liu, Haoyang, Li, Yijiang, Xing, Tiancheng +5 · 5 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
    2025/06/23 by Zou, Jiaru, Yang, Ling, Gu, Jingwen +4 · 17 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. Local Clustering in Contextual Multi-Armed Bandits
    2021/02/26 by Ban, Yikun, He, Jingrui · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
    2024/03/24 by Dongqi Fu, Zhigang Hua, Fu, Dongqi +16 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Graph Theory and Algorithms #Interconnection Networks and Systems #Machine Learning (cs.LG)
  15. Heterogeneous Contrastive Learning for Foundation Models and Beyond
    2024/03/30 by Lecheng Zheng, Baoyu Jing, Zheng, Lecheng +7 · 5 citations
    Engineering · Environmental Science · #FOS: Computer and information sciences #Groundwater flow and contamination studies #Grouting, Rheology, and Soil Mechanics #Hydraulic Fracturing and Reservoir Analysis #Machine Learning (cs.LG)
  16. Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
    2025/02/13 by Zihao Li, Lin Xiao, Li, Zihao +19 · 8 citations
    Arts and Humanities · #Narrative Theory and Analysis #Digital Humanities and Scholarship
  17. LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
    2024/10/28 by Xinrui He, He, Xinrui, Yikun Ban +9 · 6 citations
    Health Professions · #Artificial Intelligence in Healthcare
  18. Neural Active Learning Beyond Bandits
    2024/04/18 by Ban, Yikun, Agarwal, Ishika, Wu, Ziwei +4 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Deep Active Learning by Leveraging Training Dynamics
    2021/10/16 by Haonan Wang, Wang, Haonan, Wei Huang +8 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  20. Improved Algorithms for Neural Active Learning
    2022/10/02 by Yikun Ban, Yuheng Zhang, Ban, Yikun +7 · 2 citations
    Computer Science · Decision Sciences · #Machine Learning and Algorithms #Advanced Bandit Algorithms Research #Data Stream Mining Techniques
  21. Optimizing the Collaboration Structure in Cross-Silo Federated Learning
    2023/06/10 by Wenxuan Bao, Haohan Wang, Bao, Wenxuan +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  22. Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
    2024/03/17 by Lihui Liu, Liu, Lihui, Zihao Wang +13 · 4 citations
    Computer Science · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Logic, Reasoning, and Knowledge #Semantic Web and Ontologies
  23. Transforming the Hybrid Cloud for Emerging AI Workloads
    2024/11/20 by Deming Chen, Chen, Deming, Alaa Youssef +85 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Distributed #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #IoT and Edge/Fog Computing #Multiagent Systems (cs.MA) #Parallel #and Cluster Computing (cs.DC)
  24. Deep Multimodality Model for Multi-task Multi-view Learning
    2019/01/25 by Lecheng Zheng, Yu Cheng, Zheng, Lecheng +3 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  25. DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data
    2021/07/05 by Dongqi Fu, Jingrui He, Fu, Dongqi +1 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
    2025/11/25 by Tianxin Wei, Wei, Tianxin, Noveen Sachdeva +27 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Multimodal Machine Learning Applications #Topic Modeling
  27. Generic Outlier Detection in Multi-Armed Bandit
    2020/07/14 by Yikun Ban, Jingrui He, Ban, Yikun +1 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Continuous Transfer Learning with Label-informed Distribution Alignment
    2020/06/05 by Jun Wu, Jingrui He, Wu, Jun +1 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
  29. Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
    2020/09/18 by Yao Zhou, Zhou, Yao, Jun Wu +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  30. Multi-facet Contextual Bandits: A Neural Network Perspective
    2021/06/06 by Ban, Yikun, He, Jingrui, Cook, Curtiss B. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
    2024/04/29 by Zihao Li, Yuyi Ao, Li, Zihao +3 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Topic Modeling
  32. Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
    2024/12/11 by Zihao Li, Lecheng Zheng, Li, Zihao +13 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Social and Information Networks (cs.SI) #Topic Modeling
  33. Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
    2025/05/24 by Zhining Liu, Liu, Zhining, Ze Yang +15 · 6 citations
    Decision Sciences · #Stock Market Forecasting Methods
  34. DISCO: Comprehensive and Explainable Disinformation Detection
    2022/03/09 by Dongqi Fu, Fu, Dongqi, Yikun Ban +7 · 1 citation
    Computer Science · Social Sciences · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Misinformation and Its Impacts #Network Security and Intrusion Detection
  35. MentorGNN: Deriving Curriculum for Pre-Training GNNs
    2022/08/21 by Zhou, Dawei, Zheng, Lecheng, Fu, Dongqi +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
    2024/08/08 by Dongqi Fu, Fu, Dongqi, Hanghang Tong +8 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  37. PageRank Bandits for Link Prediction
    2024/11/03 by Ban, Yikun, Zou, Jiaru, Li, Zihao +5 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  38. ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data
    2018/04/24 by Jun Wu, Jingrui He, Wu, Jun +3 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Electricity Theft Detection Techniques #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Social and Information Networks (cs.SI)
  39. Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
    2025/05/22 by Zou, Jiaru, Yikun Ban, Zihao Li +10 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  40. PyG-SSL: A Graph Self-Supervised Learning Toolkit
    2024/12/30 by Lecheng Zheng, Zheng, Lecheng, Baoyu Jing +21 · 5 citations
    Computer Science · #Service-Oriented Architecture and Web Services #Semantic Web and Ontologies #Advanced Graph Neural Networks
  41. Fairness-aware Multi-view Clustering
    2023/02/11 by Lecheng Zheng, Yada Zhu, Zheng, Lecheng +3 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG)
  42. Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
    2023/07/10 by Dongqi Fu, Wenxuan Bao, Fu, Dongqi +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Blockchain Technology Applications and Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  43. APEX2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
    2024/12/23 by Li, Zihao, Fu, Dongqi, Ai, Mengting +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Symbolic Computation (cs.SC)
  44. Meta Clustering of Neural Bandits
    2024/08/10 by Yikun Ban, Yunzhe Qi, Ban, Yikun +7 · 2 citations
    Computer Science · Decision Sciences · Psychology · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Mental Health Research Topics
  45. Neural Contextual Bandits for Personalized Recommendation
    2023/12/21 by Ban, Yikun, Qi, Yunzhe, He, Jingrui · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  46. Flow Matching Meets Biology and Life Science: A Survey
    2025/07/23 by Li, Zihao, Zeng, Zhichen, Lin, Xiao +9 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. Multi-modal Causal Structure Learning and Root Cause Analysis
    2024/02/04 by Lecheng Zheng, Zheng, Lecheng, Zhengzhang Chen +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Rough Sets and Fuzzy Logic #Software Engineering Research
  48. What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
    2024/10/16 by Dongqi Fu, Fu, Dongqi, Liri Fang +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Constraint Satisfaction and Optimization #Data Management and Algorithms #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  49. Contextual Bandits with Online Neural Regression
    2023/12/12 by Rohan Deb, Deb, Rohan, Yikun Ban +7 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Age of Information Optimization #Stochastic Gradient Optimization Techniques
  50. Fair Anomaly Detection For Imbalanced Groups
    2024/09/17 by Ziwei Wu, Lecheng Zheng, Wu, Ziwei +9 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Network Security and Intrusion Detection
  51. ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
    2025/04/10 by Fu, Dongqi, Zhu, Yada, Liu, Zhining +10 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  52. MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models
    2023/07/18 by Ai, Mengting, Tianxin Wei, Yifan Chen +6 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Speech Recognition and Synthesis
  53. Trustworthy Transfer Learning: A Survey
    2024/12/18 by Wu Jun, Wu, Jun, Jingrui He +1 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
  54. TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
    2025/10/07 by Zou, Jiaru, Roy, Soumya, Verma, Vinay Kumar +6 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  55. RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
    2025/04/02 by Zou, Jiaru, Fu, Dongqi, Chen, Sirui +5 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)