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Sun, Yizhou

  1. HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
    2024/05/09 by Zifan He, He, Zifan, Yingqi Cao +9 · 2 voices · 6 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  2. Heterogeneous Graph Transformer
    2020/03/03 by Ziniu Hu, Yuxiao Dong, Hu, Ziniu +5 · 43 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
  3. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
    2023/07/20 by Xiaoxuan Wang, Wang, Xiaoxuan, Ziniu Hu +17 · 40 citations
    Computer Science · Psychology · Social Sciences · #Online Learning and Analytics #Educational Strategies and Epistemologies #Education and Critical Thinking Development
  4. REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
    2022/12/10 by Ziniu Hu, Hu, Ziniu, Ahmet İşcen +15 · 25 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  5. 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
  6. 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
  7. 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
  8. Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
    2019/11/17 by Difan Zou, Zou, Difan, Ziniu Hu +9 · 11 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)
  9. Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
    2021/10/17 by Shichang Zhang, Yozen Liu, Zhang, Shichang +5 · 10 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)
  10. A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
    2025/04/22 by Kun Wang, Guibin Zhang, Wang, Kun +193 · 30 citations
    Computer Science · Health Professions · Medicine · #Adversarial Robustness in Machine Learning #Occupational Health and Safety Research #Artificial Intelligence in Healthcare and Education
  11. PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
    2023/02/24 by Shichang Zhang, Jiani Zhang, Zhang, Shichang +11 · 7 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  12. Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
    2018/09/10 by Bai, Yunsheng, Ding, Hao, Sun, Yizhou +1 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
    2019/05/11 by Chen, Ting, Bian, Song, Sun, Yizhou · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  14. Differentiable Product Quantization for End-to-End Embedding Compression
    2019/08/26 by Chen, Ting, Li, Lala, Sun, Yizhou · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. 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
  16. Protein Large Language Models: A Comprehensive Survey
    2025/02/21 by Yijia Xiao, Xiao, Yijia, Wanjia Zhao +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
  17. On Sampling Strategies for Neural Network-based Collaborative Filtering
    2017/06/23 by Chen, Ting, Sun, Yizhou, Shi, Yue +1 · 3 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  18. 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 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  19. 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
  20. Improving Multi-Task Generalization via Regularizing Spurious Correlation
    2022/05/19 by Hu, Ziniu, Zhao, Zhe, Yi, Xinyang +4 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. 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
  22. Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
    2024/07/31 by Kewei Cheng, Cheng, Kewei, Jingfeng Yang +21 · 3 voices · 5 citations
    #cs.AI
  23. Learning Fair Representations via an Adversarial Framework
    2019/04/30 by Feng, Rui, Yang, Yang, Lyu, Yuehan +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Neural Compositional Rule Learning for Knowledge Graph Reasoning
    2023/03/07 by Cheng, Kewei, Ahmed, Nesreen K., Sun, Yizhou · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  25. STIV: Scalable Text and Image Conditioned Video Generation
    2024/12/10 by Lin, Zongyu, Liu, Wei, Chen, Chen +13 · 5 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
  26. Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
    2020/11/08 by Huang, Zijie, Sun, Yizhou, Wang, Wei · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
    2020/12/16 by Zhou, Yichao, Yan, Yu, Han, Rujun +5 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Mixture of In-Context Prompters for Tabular PFNs
    2024/05/25 by Xu, Derek, Cirit, Olcay, Asadi, Reza +2 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. 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
  30. 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
  31. 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)
  32. Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
    2024/02/29 by Huang, Zijie, Hwang, Jeehyun, Zhang, Junkai +6 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. A Primer on Deep Learning for Causal Inference
    2021/10/09 by Bernard Koch, Koch, Bernard, Tim Sainburg +9 · 1 voice · 1 citation
    #cs.LG #econ.EM #stat.ME #stat.ML
  34. The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
    2018/06/26 by Chen, Zhengxing, Nguyen, Truong-Huy D, Xu, Yuyu +4 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Social and Information Networks (cs.SI)
  35. Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
    2018/06/21 by Chen, Ting, Min, Martin Renqiang, Sun, Yizhou · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
    2019/05/31 by Ziniu Hu, Hu, Ziniu, Changjun Fan +7 · 1 citation
    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
  37. Few-Shot Representation Learning for Out-Of-Vocabulary Words
    2019/07/01 by Hu, Ziniu, Chen, Ting, Chang, Kai-Wei +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  38. 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
  39. Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
    2020/06/11 by Bai, Yunsheng, Gu, Ken, Sun, Yizhou +1 · 1 citation
    #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #and Science (cs.CE)
  40. Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
    2024/06/13 by Zongyue Qin, Qin, Zongyue, Yunsheng Bai +10 · 2 citations
    Engineering · Materials Science · Computer Science · #Manufacturing Process and Optimization #Machine Learning in Materials Science #Model-Driven Software Engineering Techniques
  41. Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
    2021/08/05 by Chen, Xuelu, Hu, Ziniu, Sun, Yizhou · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  42. Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
    2020/10/12 by Duan, Ziheng, Xu, Haoyan, Wang, Yueyang +5 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  43. Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
    2024/10/25 by Li, Weikai, Wang, Ding, Ding, Zijian +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  44. Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
    2022/03/28 by Huang, Zijie, Li, Zheng, Jiang, Haoming +6 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  45. Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
    2024/10/08 by Zijie Huang, Wanjia Zhao, Huang, Zijie +15 · 2 citations
    Engineering · #Reservoir Engineering and Simulation Methods #Oil and Gas Production Techniques
  46. Empowering Language Models with Knowledge Graph Reasoning for Question Answering
    2022/11/15 by Hu, Ziniu, Xu, Yichong, Yu, Wenhao +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  47. 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
  48. A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
    2023/06/24 by Shichang Zhang, Atefeh Sohrabizadeh, Zhang, Shichang +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)
  49. 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
  50. Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
    2023/09/29 by Arjun Subramonian, Subramonian, Arjun, Levent Sagun +3 · 1 citation
    Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Mental Health Research Topics
  51. Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
    2023/12/08 by Li, Haoyu, Zhang, Shichang, Tang, Longwen +2 · 1 citation
    #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  52. Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
    2017/11/08 by Ting Chen, Chen, Ting, Martin Renqiang Min +3 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text and Document Classification Technologies
  53. 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
  54. QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
    2025/02/04 by Lin, Zongyu, Tang, Yao, Yao, Xingcheng +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  55. 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
  56. 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
  57. Automated Molecular Concept Generation and Labeling with Large Language Models
    2024/06/13 by Zimin Zhang, Zhang, Zimin, Qianli Wu +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling #Advanced Text Analysis Techniques
  58. 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
  59. Efficient Task Transfer for HLS DSE
    2024/08/16 by Ding, Zijian, Sohrabizadeh, Atefeh, Li, Weikai +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  60. Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
    2024/12/20 by Ding, Yanna, Huang, Zijie, Shou, Xiao +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  61. 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)
  62. Non-Euclidean Mixture Model for Social Network Embedding
    2024/11/07 by Roshni G. Iyer, Iyer, Roshni G., Yewen Wang +5 · 1 citation
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Spam and Phishing Detection
  63. GLSearch: Maximum Common Subgraph Detection via Learning to Search
    2020/02/08 by Yunsheng Bai, Derek Xu, Bai, Yunsheng +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Software System Performance and Reliability
  64. Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference
    2024/09/25 by Qin, Zongyue, He, Zifan, Prakriya, Neha +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  65. Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
    2024/11/24 by Arvind Vepa, Vepa, Arvind Murari, Yang, Zukang +8 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Robotics and Sensor-Based Localization
  66. Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
    2025/11/13 by Xiaoda Wang, Wang, Xiaoda, Yuhao Xu +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