vix.ing · top · new · best · stats · spec

Zhang, Aidong

  1. Benchmarking Retrieval-Augmented Generation for Medicine
    2024/02/20 by Guangzhi Xiong, Xiong, Guangzhi, Qiao Jin +5 · 68 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning
  2. A Survey on Causal Inference
    2020/02/05 by Liuyi Yao, Yao, Liuyi, Zhixuan Chu +9 · 23 citations
    Mathematics · Computer Science · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
  3. The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
    2024/02/20 by Ye, Wenqian, Jiang, Luyang, Xie, Eric +16 · 17 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
    2024/06/17 by Khandekar, Nikhil, Jin, Qiao, Xiong, Guangzhi +14 · 16 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  5. Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
    2024/08/01 by Guangzhi Xiong, Qiao Jin, Xiong, Guangzhi +9 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Topic Modeling
  6. Supervising the search process produces reliable and generalizable information-seeking agents
    2025/02/19 by Guangzhi Xiong, Qiao Jin, Xiong, Guangzhi +20 · 17 citations
    Computer Science · #Semantic Web and Ontologies #Advanced Database Systems and Queries #AI-based Problem Solving and Planning
  7. MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
    2024/06/24 by Wenqian Ye, Ye, Wenqian, Liu, Bohan +13 · 8 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  8. AffinityNet: semi-supervised few-shot learning for disease type prediction
    2018/05/22 by Tianle Ma, Ma, Tianle, Aidong Zhang +1 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #FOS: Computer and information sciences #Gene expression and cancer classification #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
  9. On the Role of Server Momentum in Federated Learning
    2023/12/19 by Sun, Jianhui, Wu, Xidong, Huang, Heng +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  10. Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
    2024/11/04 by Guangzhi Xiong, Xiong, Guangzhi, Eric Xie +8 · 6 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  11. Solving a Class of Non-Convex Minimax Optimization in Federated Learning
    2023/10/05 by Xidong Wu, Jianhui Sun, Wu, Xidong +7 · 3 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  12. What is the Visual Cognition Gap between Humans and Multimodal LLMs?
    2024/06/14 by Cao, Xu, Shen, Yifan, Lai, Bolin +8 · 4 citations
    #68T01 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. CLEAR: Generative Counterfactual Explanations on Graphs
    2022/10/16 by Jing Ma, Ruocheng Guo, Ma, Jing +7 · 2 citations
    Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare
  14. Understanding and Enhancing Robustness of Concept-based Models
    2022/11/29 by Sinha, Sanchit, Huai, Mengdi, Sun, Jianhui +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
    2024/05/19 by Sanchit Sinha, Sinha, Sanchit, Yuguang Yue +9 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  16. TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
    2025/03/26 by Xu, Huimin, Yi, Seungjun, Lim, Terence +9 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  17. Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering
    2017/08/23 by Ma, Tianle, Zhang, Aidong · 1 citation
    #FOS: Biological sciences #Genomics (q-bio.GN)
  18. IdeaBench: Benchmarking Large Language Models for Research Idea Generation
    2024/10/31 by Amir Hassan Shariatmadari, Guo, Sikun, Shariatmadari, Amir Hassan +10 · 2 citations
    Computer Science · Psychology · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Engineering #Educational Games and Gamification #FOS: Computer and information sciences #Finance #Software Engineering Techniques and Practices #and Science (cs.CE)
  19. Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
    2024/11/20 by Yifan Yang, Yang, Yifan, Qiao Jin +32 · 3 citations
    Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  20. Benchmarking Spurious Bias in Few-Shot Image Classifiers
    2024/09/04 by Zheng, Guangtao, Ye, Wenqian, Zhang, Aidong · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Towards 250-m gigabits-per-second underwater wireless optical communication using a low-complexity ANN equalizer
    2024/11/16 by Xiaohe Dong, Kuokuo Zhang, Dong, Xiaohe +9 · 2 citations
    Engineering · #Advanced Wireless Communication Technologies #FOS: Physical sciences #Optical Wireless Communication Technologies #Optics (physics.optics) #Underwater Vehicles and Communication Systems
  22. Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
    2025/05/20 by Xiong, Guangzhi, Xie, Eric, Williams, Corey +5 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  23. AdvST: Revisiting Data Augmentations for Single Domain Generalization
    2023/12/20 by Guangtao Zheng, Mengdi Huai, Zheng, Guangtao +3 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Respiratory viral infections research
  24. Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
    2024/05/06 by Guangtao Zheng, Wenqian Ye, Zheng, Guangtao +3 · 2 citations
    Computer Science · #Neural Networks and Applications #Face and Expression Recognition #Fuzzy Logic and Control Systems
  25. Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning
    2025/06/03 by Fang Yin, Qiao Jin, Fang, Yin +15 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Engineering #FOS: Computer and information sciences #Finance #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics #and Science (cs.CE)
  26. ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
    2024/10/07 by Guangzhi Xiong, Sanchit Sinha, Xiong, Guangzhi +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  27. Entry-level guide to the use of large language models for medical research
    2024/10/24 by Qiao Jin, Jin, Qiao, Nicholas Wan +43 · 1 voice · 1 citation
    Computer Science · Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning in Healthcare
  28. Rectifying Shortcut Behaviors in Preference-based Reward Learning
    2025/10/21 by Wenqian Ye, Ye, Wenqian, Guangtao Zheng +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling
  29. ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
    2025/01/16 by Sanchit Sinha, Guangzhi Xiong, Sinha, Sanchit +3 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Automated Systems #Video Analysis and Summarization