Pan Li
- Adaptive Universal Generalized PageRank Graph Neural Network
2020/06/14 by Eli Chien, Chien, Eli, Jianhao Peng +5 · 49 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 Algorithms
- Applications and Techniques for Fast Machine Learning in Science
2021/10/25 by Allison McCarn Deiana, A. M. Deiana, Nhan Viet Tran +111 · 1 voice · 2 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Neural Networks and Reservoir Computing #Anomaly Detection Techniques and Applications
- Graph Information Bottleneck
2020/10/24 by Tailin Wu, Hongyu Ren, Wu, Tailin +5 · 15 citations
Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Nested Graph Neural Networks
2021/10/25 by Muhan Zhang, Zhang, Muhan, Pan Li +1 · 1 voice · 5 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science #cs.LG
- Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
2022/01/31 by Siqi Miao, Miao, Siqi, M. Liu +3 · 15 citations
Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
2020/09/17 by Siddharth Bhatia, Arjit Jain, Pan Li +2 · 1 voice · 2 citations
#cs.LG #cs.AI #stat.ML
- Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node\n Representation Learning
2020/10/30 by Muhan Zhang, Zhang, Muhan, Pan Li +7 · 6 citations
Computer Science · #Advanced Graph Neural Networks #Topic Modeling
- Neighborhood-aware Scalable Temporal Network Representation Learning
2022/09/02 by Yuhong Luo, Luo, Yuhong, Pan Li +1 · 6 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Caching and Content Delivery #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
2022/03/01 by Haorui Wang, Haoteng Yin, Wang, Haorui +5 · 5 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Machine Learning in Materials Science #Graph Theory and Algorithms
- On the Stability of Expressive Positional Encodings for Graphs
2023/10/04 by Yinan Huang, William W. Lu, Huang, Yinan +11 · 6 citations
Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Structural Re-weighting Improves Graph Domain Adaptation
2023/06/05 by Shikun Liu, Liu, Shikun, Tianchun Li +11 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Online Learning and Analytics
- Neural Predicting Higher-order Patterns in Temporal Networks
2021/06/10 by Yunyu Liu, Jianzhu Ma, Liu, Yunyu +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural Networks and Applications #Social and Information Networks (cs.SI)
- Optimal Resource Allocation for U-Shaped Parallel Split Learning
2023/08/17 by Song Lyu, Zheng Lin, Lyu, Song +9 · 4 citations
Computer Science · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Interpretable Geometric Deep Learning via Learnable Randomness Injection
2022/10/30 by Siqi Miao, Yunan Luo, Miao, Siqi +5 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Cell Image Analysis Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
2024/02/19 by Siqi Miao, Zhiyuan Lu, Miao, Siqi +7 · 5 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization
- Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
2024/12/31 by Peihao Wang, Rong-Gen Cai, Wang, Peihao +9 · 6 citations
Computer Science · #Bayesian Modeling and Causal Inference
- Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
2022/02/18 by Mingyue Tang, Carl Yang, Tang, Mingyue +3 · 2 citations
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
2022/07/13 by Haoyu Wang, Nan Wu, Wang, Haoyu +7 · 2 citations
Engineering · Computer Science · #Ferroelectric and Negative Capacitance Devices #Complexity and Algorithms in Graphs #Stochastic Gradient Optimization Techniques
- AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory
2025/05/20 by Zhiqian Lan, Lan, Zhiqian, Yuxuan Jiang +25 · 4 citations
Computer Science · Engineering · Materials Science · #FOS: Computer and information sciences #Machine Learning in Materials Science #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Robotics (cs.RO)
- Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
2023/04/22 by Xianhao Chen, Yiqin Deng, Chen, Xianhao +11 · 3 citations
Computer Science · Engineering · #Blockchain Technology Applications and Security #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Parallel #Vehicular Ad Hoc Networks (VANETs) #and Cluster Computing (cs.DC)
- Towards Controllable and Personalized Review Generation
2019/09/30 by Pan Li, Alexander Tuzhilin, Li, Pan +1 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Handling many conversions per click in modeling delayed feedback
2021/01/06 by Ashwinkumar Badanidiyuru, Badanidiyuru, Ashwinkumar, А. О. Евдокимов +9 · 1 citation
Computer Science · Decision Sciences · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Advanced Bandit Algorithms Research
- Training Compute-Optimal Protein Language Models
2024/06/09 by Xingyi Cheng, Bo Chen, Pan Li +3 · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
- Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
2021/06/05 by Pan Li, Zhichao Jiang, Li, Pan +7 · 1 citation
Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks
- High Pileup Particle Tracking with Object Condensation
2023/12/06 by K. Lieret, Lieret, Kilian, G. Dezoort +9 · 2 citations
Computer Science · #Data Analysis #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistics and Probability (physics.data-an)
- MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
2024/06/08 by Bo Chen, Zhilei Bei, Chen, Bo +9 · 2 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning in Bioinformatics
- CLDN18.2 BiTE Engages Effector and Regulatory T Cells for Antitumor Immune Response in Preclinical Models of Pancreatic Cancer
2023/07/26 by Yao Xu, Juan Fu, MacKenzie Henderson +22 · 1 voice · 1 citation
Medicine · #Monoclonal and Polyclonal Antibodies Research #CAR-T cell therapy research #Cancer Immunotherapy and Biomarkers
- A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
2024/10/25 by Kexin Zhang, Shuhan Liu, Zhang, Kexin +15 · 2 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Text and Document Classification Technologies
- Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading
2024/08/16 by Pan Li, Pan, Li, Yupei Zhang +11 · 2 citations
Computer Science · Medicine · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Radiomics and Machine Learning in Medical Imaging
- Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
2023/07/12 by Eli Chien, Weining Chen, Chien, Eli +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
2023/06/02 by Pan Li, Li, Pan, Yuyan Wang +5 · 1 citation
Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Sentiment Analysis and Opinion Mining
- From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
2023/09/24 by Zheng Wang, Wang, Zheng, Hongming Ding +9 · 1 citation
Computer Science · Social Sciences · #Advanced Computing and Algorithms #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
- Model Generalization on Text Attribute Graphs: Principles with Large Language Models
2025/02/17 by Haoyu Wang, Shikun Liu, Wang, Haoyu +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- A new species of Sedum (Crassulaceae) from eastern China based on morphological and molecular evidence
2025/03/14 by Jingmin Dai, Yu Xiong, Pan Li +2 · 1 voice · 1 citation
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Phytochemistry and Biological Activities #Plant and Fungal Species Descriptions #Phytochemical Studies and Bioactivities
- Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
2025/06/11 by Tianjun Yao, Haoxuan Li, Yao, Tianjun +9 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications
- Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
2024/08/18 by Nuo Xu, Pinghui Wang, Xu, Nuo +13 · 1 citation
Social Sciences · Economics, Econometrics and Finance · #Artificial Intelligence in Law #Legal Education and Practice Innovations #Law, Economics, and Judicial Systems
- Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
2025/06/06 by Rongzhe Wei, Wei, Rongzhe, Peizhi Niu +20 · 3 citations
Computer Science · #Imbalanced Data Classification Techniques
- Research progress on the association between trimethylamine/trimethylamine-<i>N</i>-oxide and neurological disorders
2023/12/29 by Lizheng Xie, Li Pan, Pan Li +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Neuroscience · Medicine · #Gut microbiota and health #Tryptophan and brain disorders #Diet and metabolism studies
- Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations
2025/02/24 by Yuyan Wang, Wang, Yuyan, Pan Li +3 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Recommender Systems and Techniques
- Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation
2026/07/25 by Yihao Wu, Chenyi Xu, Liqi Yan +6
#cs.CV