Le Song
- Learning Combinatorial Optimization Algorithms over Graphs
2017/04/05 by Hanjun Dai, Dai, Hanjun, Elias B. Khalil +7 · 2 voices · 71 citations
Computer Science · #Advanced Graph Neural Networks #Optimization and Search Problems #Reinforcement Learning in Robotics #cs.LG #stat.ML
- Scientific discovery in the age of artificial intelligence
2023/08/02 by Hanchen Wang, Tianfan Fu, Yuanqi Du +32 · 129 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Materials Science
- Discriminative Embeddings of Latent Variable Models for Structured Data
2016/03/17 by Hanjun Dai, Dai, Hanjun, Bo Dai +3 · 70 citations
Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition
- SphereFace: Deep Hypersphere Embedding for Face Recognition
2017/04/26 by Weiyang Liu, Yandong Wen, Liu, Weiyang +9 · 61 citations
Computer Science · #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis
- Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
2018/02/21 by Jianbo Chen, Le Song, Chen, Jianbo +5 · 36 citations
Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
- Variational Reasoning for Question Answering with Knowledge Graph
2017/09/12 by Yuyu Zhang, Hanjun Dai, Zhang, Yuyu +7 · 34 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Graph Neural Networks
- Adversarial Attack on Graph Structured Data
2018/06/06 by Hanjun Dai, Dai, Hanjun, Hui Li +11 · 33 citations
Computer Science · Social Sciences · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Terrorism, Counterterrorism, and Political Violence
- From System 1 to System 2: A Survey of Reasoning Large Language Models
2025/02/24 by Zhongzhi Li, Duzhen Zhang, Li, Zhong-Zhi +36 · 78 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques
- Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
2020/06/29 by Binghong Chen, Chen, Binghong, Chengtao Li +5 · 20 citations
Chemistry · Engineering · #Artificial Intelligence (cs.AI) #Asymmetric Hydrogenation and Catalysis #Catalysis and Hydrodesulfurization Studies #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- GRAM: Graph-based Attention Model for Healthcare Representation Learning
2016/11/21 by Edward Choi, Mohammad Taha Bahadori, Choi, Edward +7 · 15 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
- Syntax-Directed Variational Autoencoder for Structured Data
2018/02/24 by Hanjun Dai, Dai, Hanjun, Yingtao Tian +7 · 16 citations
Computer Science · #Artificial Intelligence in Games #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Topic Modeling
- SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
2017/12/29 by Bo Dai, Albert Shaw, Dai, Bo +13 · 20 citations
Computer Science · #Adaptive Dynamic Programming Control #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Learning towards Minimum Hyperspherical Energy
2018/05/23 by Weiyang Liu, Liu, Weiyang, Rongmei Lin +11 · 9 citations
Computer Science · Earth and Planetary Sciences · #Advanced Neural Network Applications #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geophysical and Geoelectrical Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient Probabilistic Logic Reasoning with Graph Neural Networks
2020/01/29 by Yuyu Zhang, Xinshi Chen, Zhang, Yuyu +11 · 16 citations
Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Topic Modeling
- Meta Architecture Search
2018/12/22 by Albert Shaw, Wei Wei, Shaw, Albert +7 · 12 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
2019/11/13 by Xuesong Shi, Dongjiang Li, Shi, Xuesong +33 · 7 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Soft Robotics and Applications
- Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
2017/05/16 by Rakshit Trivedi, Hanjun Dai, Trivedi, Rakshit +5 · 9 citations
Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Domain Adaptation and Few-Shot Learning
- L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
2018/08/07 by Jianbo Chen, Chen, Jianbo, Le Song +5 · 6 citations
Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Constraint Satisfaction and Optimization #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Hyperspherical Learning
2017/11/08 by Weiyang Liu, Yan‐Ming Zhang, Liu, Weiyang +11 · 6 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- Learning Temporal Point Processes via Reinforcement Learning
2018/11/12 by Shuang Li, Li, Shuang, Shuai Xiao +9 · 11 citations
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Point processes and geometric inequalities
- Diverse Neural Network Learns True Target Functions
2016/11/09 by Bo Xie, Yingyu Liang, Xie, Bo +3 · 7 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Deep Fried Convnets
2014/12/22 by Zichao Yang, Marcin Moczulski, Yang, Zichao +11 · 7 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
2019/01/27 by Chao Qu, Qu, Chao, Shie Mannor +9 · 5 citations
Computer Science · #Age of Information Optimization #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Graph Condensation via Receptive Field Distribution Matching
2022/06/28 by Mengyang Liu, Liu, Mengyang, Shanchuan Li +5 · 6 citations
Computer Science · Physics and Astronomy · Materials Science · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Machine Learning in Materials Science
- TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
2021/05/17 by Lu Wang, Wang, Lu, Xiaofu Chang +16 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
- Fake News Mitigation via Point Process Based Intervention
2017/03/22 by Mehrdad Farajtabar, Jiachen Yang, Farajtabar, Mehrdad +15 · 8 citations
Social Sciences · Computer Science · #Misinformation and Its Impacts #Spam and Phishing Detection
- Regularizing Neural Networks via Minimizing Hyperspherical Energy
2019/06/12 by Rongmei Lin, Weiyang Liu, Lin, Rongmei +13 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
- Learn to Explain Efficiently via Neural Logic Inductive Learning
2019/10/06 by Yuan Yang, Yang, Yuan, Le Song +1 · 4 citations
Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques
- Scan B-Statistic for Kernel Change-Point Detection
2015/07/05 by Shuang Li, Yao Xie, Li, Shuang +5 · 3 citations
Decision Sciences · Environmental Science · Mathematics · #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #FOS: Mathematics #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Uncovering the Structural Fairness in Graph Contrastive Learning
2022/10/06 by Ruijia Wang, Xiao Wang, Wang, Ruijia +5 · 5 citations
Computer Science · Social Sciences · #Advanced Graph Neural Networks #Health disparities and outcomes
- RoMA: Robust Model Adaptation for Offline Model-based Optimization
2021/10/27 by Sihyun Yu, Sungsoo Ahn, Yu, Sihyun +5 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
2019/02/28 by Binghong Chen, Bo Dai, Chen, Binghong +9 · 3 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms #Robotics (cs.RO)
- On the Complexity of Learning Neural Networks
2017/07/14 by Le Song, Song, Le, Santosh Vempala +5 · 5 citations
Computer Science · #Computational Complexity (cs.CC) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Learning to Stop While Learning to Predict
2020/06/09 by Xinshi Chen, Hanjun Dai, Chen, Xinshi +7 · 3 citations
Computer Science · Psychology · #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
2020/02/28 by Yuyu Zhang, Ping Nie, Zhang, Yuyu +9 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Nonparametric Estimation of Multi-View Latent Variable Models
2013/11/13 by Le Song, Song, Le, Animashree Anandkumar +5 · 3 citations
Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Tensor decomposition and applications
- Polymers for Extreme Conditions Designed Using Syntax-Directed\n Variational Autoencoders
2020/11/04 by Rohit Batra, Hanjun Dai, Batra, Rohit +13 · 3 citations
Computer Science · Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning in Materials Science #Soft Condensed Matter (cond-mat.soft)
- Scalable Kernel Methods via Doubly Stochastic Gradients
2014/07/21 by Bo Dai, Dai, Bo, Bo Xie +11 · 5 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners
2025/05/17 by Junhao Zheng, Zheng, Junhao, Q. Li +12 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
- Fast and Simple Optimization for Poisson Likelihood Models
2016/08/03 by Niao He, He, Niao, Zaïd Harchaoui +5 · 4 citations
Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques
- Provable Bayesian Inference via Particle Mirror Descent
2015/06/09 by Bo Dai, Niao He, Dai, Bo +5 · 2 citations
Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference
- Wasserstein Learning of Deep Generative Point Process Models
2017/05/23 by Shuai Xiao, Xiao, Shuai, Mehrdad Farajtabar +9 · 2 citations
Engineering · Mathematics · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Morphological variations and asymmetry #Point processes and geometric inequalities
- Unfolding Latent Tree Structures using 4th Order Tensors
2012/10/03 by Mariya Ishteva, Ishteva, Mariya, Haesun Park +3 · 2 citations
Computer Science · Mathematics · #Algorithms and Data Compression #Tensor decomposition and applications #Topic Modeling
- xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
2023/11/26 by Jing Gong, Gong, Jing, Minsheng Hao +15 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Single-cell and spatial transcriptomics #MicroRNA in disease regulation #Domain Adaptation and Few-Shot Learning
- Double Neural Counterfactual Regret Minimization
2018/12/27 by Hui Li, Li, Hui, Kailiang Hu +9 · 3 citations
Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Sports Analytics and Performance
- Iterative Machine Teaching
2017/05/30 by Weiyang Liu, Liu, Weiyang, Bo Dai +13 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
- Training Compute-Optimal Protein Language Models
2024/06/09 by Xingyi Cheng, Bo Chen, Pan Li +3 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
- Least Squares Revisited: Scalable Approaches for Multi-class Prediction
2013/10/07 by Alekh Agarwal, Sham M. Kakade, Agarwal, Alekh +7 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Bandit Samplers for Training Graph Neural Networks
2020/06/10 by Ziqi Liu, Liu, Ziqi, Zhengwei Wu +11 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Age of Information Optimization #Explainable Artificial Intelligence (XAI)
- Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
2014/05/12 by Hadi Daneshmand, Manuel Gomez-Rodriguez, Daneshmand, Hadi +5 · 1 citation
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Topological and Geometric Data Analysis
- A la Carte - Learning Fast Kernels
2014/12/19 by Zichao Yang, Alexander J. Smola, Yang, Zichao +5 · 1 citation
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
2024/06/08 by Bo Chen, Zhilei Bei, Chen, Bo +9 · 3 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
- Stochastic Generative Hashing
2017/01/11 by Bo Dai, Ruiqi Guo, Dai, Bo +7 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
2016/12/08 by Nan Du, Du, Nan, Yingyu Liang +9 · 1 citation
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Opinion Dynamics and Social Influence #Social and Information Networks (cs.SI)
- Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
2015/01/26 by Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Farajtabar, Mehrdad +9 · 2 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Diffusion and Search Dynamics #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Quantum chaos and dynamical systems #Social and Information Networks (cs.SI)
- Question Directed Graph Attention Network for Numerical Reasoning over Text
2020/09/16 by Kunlong Chen, Chen, Kunlong, Weidi Xu +15 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- ProTo: Program-Guided Transformer for Program-Guided Tasks
2021/10/02 by Zelin Zhao, Karan Samel, Zhao, Zelin +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO) #Software Engineering Research
- Multi-task Learning of Order-Consistent Causal Graphs
2021/11/03 by Xinshi Chen, Haoran Sun, Chen, Xinshi +7 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
2022/10/26 by Yuchen Zhuang, Yinghao Li, Zhuang, Yuchen +13 · 1 citation
Computer Science · Decision Sciences · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Topic Modeling
- Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
2017/03/24 by Shuai Xiao, Xiao, Shuai, Junchi Yan +9 · 1 citation
Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neural dynamics and brain function
- xTrimoABFold: De novo Antibody Structure Prediction without MSA
2022/11/30 by Yining Wang, Wang, Yining, Xumeng Gong +17 · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Glycosylation and Glycoproteins Research #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Quantitative Methods (q-bio.QM) #vaccines and immunoinformatics approaches
- Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels
2024/12/09 by Le Song, Song, Le, Segal, Eran +2 · 2 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Scientific Computing and Data Management
- MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph
2025/08/17 by Duzhen Zhang, Zhang, Duzhen, Zixiao Wang +23 · 1 citation
#cs.CL #cs.AI