Zhao, Lingxiao
- Chain of Draft: Thinking Faster by Writing Less
2025/02/25 by Shijing Xu, Xu, Silei, Wenhao Xie +4 · 17 voices · 58 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Multimodal Machine Learning Applications #Topic Modeling
- PairNorm: Tackling Oversmoothing in GNNs
2019/09/26 by Lingxiao Zhao, Leman Akoglu, Zhao, Lingxiao +1 · 24 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Topic Modeling
- Sign and Basis Invariant Networks for Spectral Graph Representation Learning
2022/02/25 by Derek Lim, Lim, Derek, Joshua A. Robinson +11 · 16 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
2021/10/07 by Lingxiao Zhao, Zhao, Lingxiao, Wei Jin +5 · 11 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
2020/06/19 by Jiong Zhu, Yujun Yan, Zhu, Jiong +9 · 13 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Stochastic Gradient Optimization Techniques
- Graph Condensation for Graph Neural Networks
2021/10/14 by Wei Jin, Lingxiao Zhao, Jin, Wei +9 · 6 citations
Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Graph Theory and Algorithms
- On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights
2020/12/23 by Lingxiao Zhao, Zhao, Lingxiao, Leman Akoglu +1 · 3 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Practical, Progressively-Expressive GNN
2022/10/18 by Lingxiao Zhao, Louis Härtel, Zhao, Lingxiao +5 · 3 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
- Descriptive Kernel Convolution Network with Improved Random Walk Kernel
2024/02/08 by Lee, Meng-Chieh, Zhao, Lingxiao, Akoglu, Leman · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Magistral
2025/06/12 by Mistral-AI, :, Rastogi, Abhinav +98 · 8 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
2019/09/26 by Xuan Wu, Lingxiao Zhao, Wu, Xuan +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Social and Information Networks (cs.SI)
- Connecting Graph Convolutional Networks and Graph-Regularized PCA
2020/06/22 by Zhao, Lingxiao, Akoglu, Leman · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the Expressive Power of Spectral Invariant Graph Neural Networks
2024/06/06 by Zhang, Bohang, Zhao, Lingxiao, Maron, Haggai · 2 citations
#Combinatorics (math.CO) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Spectral Theory (math.SP)
- Fast Attributed Graph Embedding via Density of States
2021/10/11 by Sawlani, Saurabh, Zhao, Lingxiao, Akoglu, Leman · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding
2025/08/03 by Yang, Haolin, Tang, Feilong, Zhao, Lingxiao +10 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
2022/06/15 by Xueying Ding, Lingxiao Zhao, Ding, Xueying +3 · 1 citation
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Methodology (stat.ME) #Water Systems and Optimization
- Sizable superconducting gap and anisotropic chiral topological superconductivity in the Weyl semimetal PtBi2
2025/07/18 by Huang, Xiaochun, Zhao, Lingxiao, Schimmel, Sebastian +5 · 4 citations
#FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Superconductivity (cond-mat.supr-con)
- Graph Anomaly Detection with Unsupervised GNNs
2022/10/18 by Lingxiao Zhao, Saurabh Sawlani, Zhao, Lingxiao +5 · 1 citation
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection
2023/07/13 by Yoo, Jaemin, Zhao, Yue, Zhao, Lingxiao +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Voxtral
2025/07/17 by Liu, Alexander H., Ehrenberg, Andy, Lo, Andy +103 · 5 citations
#Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering
- Unified Discrete Diffusion for Categorical Data
2024/02/06 by Lingxiao Zhao, Xueying Ding, Zhao, Lingxiao +5 · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods
- Devstral: Fine-tuning Language Models for Coding Agent Applications
2025/08/08 by Rastogi, Abhinav, Yang, Adam, Jiang, Albert Q. +100 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
- Thermodynamic origin of the phonon Hall effect in a honeycomb antiferromagnet
2024/03/20 by Qingkai Meng, Meng, Qingkai, Xiaokang Li +11 · 2 citations
Materials Science · Physics and Astronomy · #FOS: Physical sciences #Magnetic and transport properties of perovskites and related materials #Other Condensed Matter (cond-mat.other) #Physics of Superconductivity and Magnetism #Quantum Gases (cond-mat.quant-gas) #Quantum, superfluid, helium dynamics #Statistical Mechanics (cond-mat.stat-mech) #Strongly Correlated Electrons (cond-mat.str-el)
- T-REG: Preference Optimization with Token-Level Reward Regularization
2024/12/03 by Wenxuan Zhou, Zhou, Wenxuan, Shujian Zhang +5 · 1 citation
Computer Science · Decision Sciences · #Data Management and Algorithms #Advanced Bandit Algorithms Research #Constraint Satisfaction and Optimization