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Yizhou Sun

  1. SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
    2026/02/13 by Xiangyi Li, Yimin Liu, Wenbo Chen +75 · 27 voices · 24 citations
    #cs.AI
  2. HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
    2024/05/09 by Zifan He, Yingqi Cao, He, Zifan +9 · 2 voices · 6 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  3. Heterogeneous Graph Transformer
    2020/03/03 by Ziniu Hu, Hu, Ziniu, Yuxiao Dong +5 · 42 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
  4. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
    2023/07/20 by Xiaoxuan Wang, Ziniu Hu, Wang, Xiaoxuan +17 · 40 citations
    Computer Science · Psychology · Social Sciences · #Online Learning and Analytics #Educational Strategies and Epistemologies #Education and Critical Thinking Development
  5. REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
    2022/12/10 by Ziniu Hu, Hu, Ziniu, Ahmet İşcen +15 · 24 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  6. GPT-GNN: Generative Pre-Training of Graph Neural Networks
    2020/06/27 by Ziniu Hu, Hu, Ziniu, Yuxiao Dong +7 · 17 citations
    Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Topic Modeling
  7. VideoPhy: Evaluating Physical Commonsense for Video Generation
    2024/06/05 by Hritik Bansal, Zongyu Lin, Bansal, Hritik +17 · 36 citations
    Computer Science · Engineering · #Human Pose and Action Recognition #Human Motion and Animation #Video Analysis and Summarization
  8. SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
    2018/08/16 by Yunsheng Bai, Hao Ding, Bai, Yunsheng +9 · 11 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Bioinformatics and Genomic Networks
  9. Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
    2019/11/17 by Difan Zou, Zou, Difan, Ziniu Hu +9 · 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 #Social and Information Networks (cs.SI)
  10. Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
    2021/10/17 by Shichang Zhang, Yozen Liu, Zhang, Shichang +5 · 7 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG)
  11. PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
    2023/02/24 by Shichang Zhang, Zhang, Shichang, Jiani Zhang +11 · 7 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  12. A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
    2025/04/22 by Kun Wang, Guibin Zhang, Wang, Kun +193 · 28 citations
    Computer Science · Health Professions · Medicine · #Adversarial Robustness in Machine Learning #Occupational Health and Safety Research #Artificial Intelligence in Healthcare and Education
  13. Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
    2024/08/22 by Haixin Wang, Yadi Cao, Wang, Haixin +29 · 11 citations
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
  14. Protein Large Language Models: A Comprehensive Survey
    2025/02/21 by Yijia Xiao, Wanjia Zhao, Xiao, Yijia +30 · 6 voices · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Machine Learning in Bioinformatics #cs.AI #cs.CE #cs.CL #cs.LG #q-bio.BM
  15. GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
    2022/01/28 by Shichang Zhang, Yozen Liu, Zhang, Shichang +5 · 4 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  16. Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
    2024/02/20 by Kewei Cheng, Cheng, Kewei, Nesreen K. Ahmed +5 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  17. Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
    2024/07/31 by Kewei Cheng, Jingfeng Yang, Cheng, Kewei +21 · 3 voices · 5 citations
    #cs.AI
  18. Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
    2019/05/24 by Changjun Fan, Fan, Changjun, Li Zeng +9 · 2 citations
    Physics and Astronomy · Computer Science · Neuroscience · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Functional Brain Connectivity Studies
  19. Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
    2023/09/29 by Yanqiao Zhu, Zhu, Yanqiao, JeeHyun Hwang +23 · 2 citations
    Materials Science · Computer Science · Chemistry · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Various Chemistry Research Topics
  20. Does Few-Shot Learning Help LLM Performance in Code Synthesis?
    2024/12/03 by Derek Xu, Xu, Derek, Tong Xie +10 · 4 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 #Software Engineering (cs.SE)
  21. A Primer on Deep Learning for Causal Inference
    2021/10/09 by Bernard Koch, Tim Sainburg, Koch, Bernard +9 · 1 voice · 1 citation
    #cs.LG #econ.EM #stat.ME #stat.ML
  22. Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
    2024/04/04 by Arjun Subramonian, Subramonian, Arjun, Jian Kang +3 · 2 citations
    Computer Science · #Neural Networks and Applications #Advanced Graph Neural Networks #Imbalanced Data Classification Techniques
  23. Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
    2024/06/13 by Zongyue Qin, Yunsheng Bai, Qin, Zongyue +10 · 2 citations
    Engineering · Materials Science · Computer Science · #Manufacturing Process and Optimization #Machine Learning in Materials Science #Model-Driven Software Engineering Techniques
  24. Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
    2024/10/08 by Zijie Huang, Huang, Zijie, Wanjia Zhao +15 · 2 citations
    Engineering · #Reservoir Engineering and Simulation Methods #Oil and Gas Production Techniques
  25. A Primer on Deep Learning for Causal Inference
    2024/08/16 by Bernard Koch, Tim Sainburg, Pablo Geraldo Bastías +3 · 1 voice · 1 citation
    Mathematics · Economics, Econometrics and Finance · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Health Systems, Economic Evaluations, Quality of Life
  26. BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
    2024/04/30 by K. L. Han, Yi Yang, Han, Kaiqiao +19 · 2 citations
    Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
  27. A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
    2023/06/24 by Shichang Zhang, Zhang, Shichang, Atefeh Sohrabizadeh +15 · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel #and Cluster Computing (cs.DC)
  28. Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
    2022/11/24 by Yiqiao Jin, Jin, Yiqiao, Xiting Wang +7 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Topic Modeling #Natural Language Processing Techniques
  29. Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
    2023/09/29 by Arjun Subramonian, Levent Sagun, Subramonian, Arjun +3 · 1 citation
    Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Mental Health Research Topics
  30. Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
    2017/11/08 by Ting Chen, Martin Renqiang Min, Chen, Ting +3 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text and Document Classification Technologies
  31. Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
    2024/04/28 by Qi Zhu, Da Zheng, Zhu, Qi +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Semantic Web and Ontologies
  32. How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
    2025/04/03 by Hongzhe Du, Weikai Li, Du, Hongzhe +13 · 2 citations
    Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education #Topic Modeling
  33. Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
    2024/10/09 by Haining Yu, Yu, Haining, Yizhou Sun +1 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
  34. Automated Molecular Concept Generation and Labeling with Large Language Models
    2024/06/13 by Zimin Zhang, Qianli Wu, Zhang, Zimin +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling #Advanced Text Analysis Techniques
  35. Inverse designing metamaterials with programmable nonlinear functional responses in graph space
    2024/08/12 by M Maurizi, Maurizi, Marco, Derek Xu +21 · 1 citation
    Engineering · #Advanced Antenna and Metasurface Technologies #Advanced Materials and Mechanics #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Structural Analysis and Optimization
  36. Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics
    2024/11/03 by Fang Sun, Sun, Fang, Zijie Huang +10 · 1 citation
    Materials Science · #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
  37. Non-Euclidean Mixture Model for Social Network Embedding
    2024/11/07 by Roshni G. Iyer, Yewen Wang, Iyer, Roshni G. +5 · 1 citation
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Spam and Phishing Detection
  38. Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
    2025/11/13 by Xiaoda Wang, Wang, Xiaoda, Han, Kaiqiao +9 · 1 citation
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Cardiac electrophysiology and arrhythmias #ECG Monitoring and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  39. Generalized Neural Operator for Parametric and Boundary-Value Problems
    2026/07/24 by Ruoyan Li, Yizhou Sun, Wei Wang
    #cs.CE #cs.AI
  40. RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning
    2026/07/16 by Yanqiao Zhu, Jingru Gan, Xiaoqi Sun +8
    #cs.AI #cs.CL #cs.LG