Le Song

According to our database, Le Song authored at least 284 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Progress and Opportunities of Foundation Models in Bioinformatics.

Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li

CoRR, 2024

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein.

Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song

CoRR, 2024

2023

Assessing protein model quality based on deep graph coupled networks using protein language model.

Dong Liu, Biao Zhang, Jun Liu, Hui Li, Le Song, Guijun Zhang

Briefings Bioinform., November, 2023

A method for multiple-sequence-alignment-free protein structure prediction using a protein language model.

Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song

Nat. Mac. Intell., October, 2023

LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization.

Libao Deng, Yuanzhu Di, Le Song, Wenyin Gong

Appl. Intell., October, 2023

Scientific discovery in the age of artificial intelligence.

Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik

Nat., 2023

Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning.

Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li

CoRR, 2023

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization.

Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.

Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images.

Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Empirical Study of Retrieval-Enhanced Graph Neural Networks.

Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Guest Editorial: Non-Euclidean Machine Learning.

Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks.

Harsh Shrivastava, Xiuwei Zhang, Le Song, Srinivas Aluru

J. Comput. Biol., 2022

xTrimoABFold: De novo Antibody Structure Prediction without MSA.

Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song

CoRR, 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

CoRR, 2022

SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling.

Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song

CoRR, 2022

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative.

Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song

CoRR, 2022

Graph Condensation via Receptive Field Distribution Matching.

Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song

CoRR, 2022

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang

CoRR, 2022

Molecule Generation for Drug Design: a Graph Learning Perspective.

Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song

CoRR, 2022

Learning Temporal Rules from Noisy Timeseries Data.

Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song

CoRR, 2022

Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks.

Le Song, Yinghong Ma

Appl. Math. Comput., 2022

Uncovering the Structural Fairness in Graph Contrastive Learning.

Ruijia Wang, Xiao Wang, Chuan Shi, Le Song

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition.

Yinghao Li, Le Song, Chao Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Concentric Spherical Neural Network for 3D Representation Learning.

James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song

Proceedings of the International Joint Conference on Neural Networks, 2022

GNN is a Counter? Revisiting GNN for Question Answering.

Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Explaining Point Processes by Learning Interpretable Temporal Logic Rules.

Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

Provable Learning-based Algorithm For Sparse Recovery.

Xinshi Chen, Haoran Sun, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

Spanning Tree-based Graph Generation for Molecules.

Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

Path Loss Model for Wearable Robotic Arm System at MHz Band.

Weijia Ren, Fanmiao Sun, Lijia Liu, Yifan Wang, Le Song, Jingjing Shi

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Bionic Compound Eye-Inspired High Spatial and Sensitive Tactile Sensor.

Le Song, Huan Zhu, Yelong Zheng, Meirong Zhao, Clarence Augustine Th Tee, Fengzhou Fang

IEEE Trans. Instrum. Meas., 2021

Understanding the game behavior with sentiment and unequal status in cooperation network.

Mengmeng Liu, Yinghong Ma, Le Song, Changyu Liu

Knowl. Based Syst., 2021

Efficient Dynamic Graph Representation Learning at Scale.

Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song

CoRR, 2021

Molecular Attributes Transfer from Non-Parallel Data.

Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang

CoRR, 2021

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling.

Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg

CoRR, 2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.

Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang

CoRR, 2021

How to Design Sample and Computationally Efficient VQA Models.

Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song

CoRR, 2021

Concentric Spherical GNN for 3D Representation Learning.

James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song

CoRR, 2021

Tracking Attention of Social Media Event by Hidden Markov Model-Cases from Sina Weibo.

Yinghong Ma, Hui Jiao, Le Song

IEEE Access, 2021

A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization.

Libao Deng, Le Song, Gaoji Sun

IEEE Access, 2021

VaCSO: A Multi-objective Collaborative Competition Particle Swarm Algorithm Based on Vector Angles.

Libao Deng, Le Song, Sibo Hou, Gaoji Sun

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

ARBITRAR: User-Guided API Misuse Detection.

Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Answering Any-hop Open-domain Questions with Iterative Document Reranking.

Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

ProTo: Program-Guided Transformer for Program-Guided Tasks.

Zelin Zhao, Karan Samel, Binghong Chen, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Biased Graph Neural Network Sampler with Near-Optimal Regret.

Qingru Zhang, David Wipf, Quan Gan, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RoMA: Robust Model Adaptation for Offline Model-based Optimization.

Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Locality Sensitive Teaching.

Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning.

Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-task Learning of Order-Consistent Causal Graphs.

Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A General Framework for Lifelong Localization and Mapping in Changing Environment.

Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients.

Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino

Proceedings of the International Joint Conference on Neural Networks, 2021

Molecule Optimization by Explainable Evolution.

Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song

Proceedings of the 9th International Conference on Learning Representations, 2021

Orthogonal Over-Parameterized Training.

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition.

Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Multiposition Method of Viscous Measurement for Small-Volume Samples With High Viscous.

Yelong Zheng, Hanli Zhang, Meirong Zhao, He Xin, Clarence Augustine Th Tee, Le Song

IEEE Trans. Instrum. Meas., 2020

Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.

Rohit Batra, Hanjun Dai, Tran Doan Huan, Lihua Chen, Chiho Kim, Will R. Gutekunst, Le Song, Rampi Ramprasad

CoRR, 2020

DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering.

Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song

CoRR, 2020

Understanding Deep Architectures with Reasoning Layer.

Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song

CoRR, 2020

Intention Propagation for Multi-agent Reinforcement Learning.

Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song

CoRR, 2020

Orthogonal Over-Parameterized Training.

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song

CoRR, 2020

A Two-Layer Network Model Reveals the Adhesion Scientist Career Stage and Research Topic in China.

Yinghong Ma, Zhaoxun Ji, Le Song

IEEE Access, 2020

Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data.

Yinghong Ma, Qiaozheng Chi, Le Song

IEEE Access, 2020

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding.

Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models.

Yingxiang Yang, Negar Kiyavash, Le Song, Niao He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bandit Samplers for Training Graph Neural Networks.

Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Deep Architecture with Reasoning Layer.

Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM.

Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search.

Binghong Chen, Chengtao Li, Hanjun Dai, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning To Stop While Learning To Predict.

Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Temporal Logic Point Processes.

Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Probabilistic Logic Reasoning with Graph Neural Networks.

Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

Learn to Explain Efficiently via Neural Logic Inductive Learning.

Yuan Yang, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

GLAD: Learning Sparse Graph Recovery.

Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

Double Neural Counterfactual Regret Minimization.

Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs.

Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees.

Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

RNA Secondary Structure Prediction By Learning Unrolled Algorithms.

Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

Question Directed Graph Attention Network for Numerical Reasoning over Text.

Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Regularizing Neural Networks via Minimizing Hyperspherical Energy.

Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes.

Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Code2Inv: A Deep Learning Framework for Program Verification.

Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song

Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

Cost-Effective Incentive Allocation via Structured Counterfactual Inference.

Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction.

Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.

Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., 2019

Optimal Solution Predictions for Mixed Integer Programs.

Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song

CoRR, 2019

Compressive Hyperspherical Energy Minimization.

Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

CoRR, 2019

Can Graph Neural Networks Help Logic Reasoning?

Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

CoRR, 2019

GLAD: Learning Sparse Graph Recovery.

Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song

CoRR, 2019

Learning to Plan via Neural Exploration-Exploitation Trees.

Binghong Chen, Bo Dai, Le Song

CoRR, 2019

Meta Particle Flow for Sequential Bayesian Inference.

Xinshi Chen, Hanjun Dai, Le Song

CoRR, 2019

Dynamic Force Transducer Calibration Based on Electrostatic Force.

Yelong Zheng, Meirong Zhao, Jile Jiang, Le Song

IEEE Access, 2019

Unsupervised Learning Grouping-Based Resampling for Particle Filters.

Weiming Yang, Le Song, Clarence Augustine Th Tee, Yelong Zheng, Yuliang Liu

IEEE Access, 2019

Meta Architecture Search.

Albert E. Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning.

Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Similarity Learning.

Weiyang Liu, Zhen Liu, James M. Rehg, Le Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exponential Family Estimation via Adversarial Dynamics Embedding.

Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Retrosynthesis Prediction with Conditional Graph Logic Network.

Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning From Networks: Algorithms, Theory, and Applications.

Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Large Scale Evolving Graphs with Burst Detection.

Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Particle Flow Bayes' Rule.

Xinshi Chen, Hanjun Dai, Le Song

Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.

Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning a Meta-Solver for Syntax-Guided Program Synthesis.

Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song

Proceedings of the 7th International Conference on Learning Representations, 2019

L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data.

Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan

Proceedings of the 7th International Conference on Learning Representations, 2019

On-Chip Health Monitoring Based on DE-Cluster in 2.5D ICs.

Libao Deng, Le Song, Ning Sun

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Kernel Exponential Family Estimation via Doubly Dual Embedding.

Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Language Modeling with Shared Grammar.

Yuyu Zhang, Le Song

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Latent Dirichlet Allocation for Internet Price War.

Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Optimization of Electrostatic Force System Based on Newton Interpolation Method.

Yelong Zheng, Meirong Zhao, Peiyuan Sun, Le Song

J. Sensors, 2018

Neural Model-Based Reinforcement Learning for Recommendation.

Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

CoRR, 2018

Double Neural Counterfactual Regret Minimization.

Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song

CoRR, 2018

Bayesian Meta-network Architecture Learning.

Albert E. Shaw, Bo Dai, Weiyang Liu, Le Song

CoRR, 2018

A Policy Gradient Method with Variance Reduction for Uplift Modeling.

Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

CoRR, 2018

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings.

Yuyu Zhang, Hanjun Dai, Kamil Toraman, Le Song

CoRR, 2018

Learning to Optimize via Wasserstein Deep Inverse Optimal Control.

Yichen Wang, Le Song, Hongyuan Zha

CoRR, 2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song

CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Learning Loop Invariants for Program Verification.

Xujie Si, Hanjun Dai, Mukund Raghothaman, Mayur Naik, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning towards Minimum Hyperspherical Energy.

Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coupled Variational Bayes via Optimization Embedding.

Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Temporal Point Processes via Reinforcement Learning.

Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Black-box Iterative Machine Teaching.

Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation.

Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Attack on Graph Structured Data.

Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Steady-States of Iterative Algorithms over Graphs.

Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alexander J. Smola, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic Training of Graph Convolutional Networks with Variance Reduction.

Jianfei Chen, Jun Zhu, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan

Proceedings of the 35th International Conference on Machine Learning, 2018

Syntax-Directed Variational Autoencoder for Structured Data.

Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song

Proceedings of the 6th International Conference on Learning Representations, 2018

Boosting the Actor with Dual Critic.

Bo Dai, Albert E. Shaw, Niao He, Lihong Li, Le Song

Proceedings of the 6th International Conference on Learning Representations, 2018

Iterative Learning With Open-Set Noisy Labels.

Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Decoupled Networks.

Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Heterogeneous Graph Neural Networks for Malicious Account Detection.

Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop.

Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Multi-scale Nystrom Method.

Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Variational Reasoning for Question Answering With Knowledge Graph.

Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.

Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Semi-Random Features for Nonlinear Function Approximation.

Kenji Kawaguchi, Bo Xie, Le Song

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Detecting Changes in Dynamic Events Over Networks.

Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song

IEEE Trans. Signal Inf. Process. over Networks, 2017

Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines.

Yang You, James Demmel, Kent Czechowski, Le Song, Rich Vuduc

IEEE Trans. Parallel Distributed Syst., 2017

The Differential Method for Force Measurement Based on Electrostatic Force.

Peiyuan Sun, Meirong Zhao, Jile Jiang, Yelong Zheng, Yaqian Han, Le Song

J. Sensors, 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

J. Mach. Learn. Res., 2017

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.

Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song

J. Mach. Learn. Res., 2017

Smoothed Dual Embedding Control.

Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song

CoRR, 2017

Deep Hyperspherical Learning.

Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song

CoRR, 2017

Towards Black-box Iterative Machine Teaching.

Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song

CoRR, 2017

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.

Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha

CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

CoRR, 2017

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions.

Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song

CoRR, 2017

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs.

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

CoRR, 2017

Iterative Machine Teaching.

Weiyang Liu, Bo Dai, James M. Rehg, Le Song

CoRR, 2017

Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape.

Hanjun Dai, Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Le Song, Xin Gao

Bioinform., 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.

Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez

Proceedings of the 26th International Conference on World Wide Web, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.

Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the Complexity of Learning Neural Networks.

Le Song, Santosh S. Vempala, John Wilmes, Bo Xie

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Hyperspherical Learning.

Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Combinatorial Optimization Algorithms over Graphs.

Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GRAM: Graph-based Attention Model for Healthcare Representation Learning.

Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Variational Policy for Guiding Point Processes.

Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Iterative Machine Teaching.

Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Fake News Mitigation via Point Process Based Intervention.

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Generative Hashing.

Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Recurrent Hidden Semi-Markov Model.

Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song

Proceedings of the 5th International Conference on Learning Representations, 2017

SphereFace: Deep Hypersphere Embedding for Face Recognition.

Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection.

Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.

Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.

Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning from Conditional Distributions via Dual Embeddings.

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Diverse Neural Network Learns True Target Functions.

Bo Xie, Yingyu Liang, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.

Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Influence Estimation and Maximization in Continuous-Time Diffusion Networks.

Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf

ACM Trans. Inf. Syst., 2016

Reduction of Kinematic Short Baseline Multipath Effects Based on Multipath Hemispherical Map.

MiaoMiao Cai, Wen Chen, Danan Dong, Le Song, Minghua Wang, Zhiren Wang, Feng Zhou, Zhengqi Zheng, Chao Yu

Sensors, 2016

Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.

Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand, Bernhard Schölkopf

J. Mach. Learn. Res., 2016

Steering Opinion Dynamics in Information Diffusion Networks.

Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song

CoRR, 2016

Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits.

Shuang Li, Yao Xie, Le Song

CoRR, 2016

Detecting weak changes in dynamic events over networks.

Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song

CoRR, 2016

Fast and Simple Optimization for Poisson Likelihood Models.

Niao He, Zaïd Harchaoui, Yichen Wang, Le Song

CoRR, 2016

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.

Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song

CoRR, 2016

Learning from Conditional Distributions via Dual Kernel Embeddings.

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

CoRR, 2016

Diversity Leads to Generalization in Neural Networks.

Bo Xie, Yingyu Liang, Le Song

CoRR, 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.

Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions.

Yichen Wang, Nan Du, Rakshit Trivedi, Le Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multistage Campaigning in Social Networks.

Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Smart Broadcasting: Do You Want to be Seen?

Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.

Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Communication Efficient Distributed Kernel Principal Component Analysis.

Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Isotonic Hawkes Processes.

Yichen Wang, Bo Xie, Nan Du, Le Song

Proceedings of the 33nd International Conference on Machine Learning, 2016

Discriminative Embeddings of Latent Variable Models for Structured Data.

Hanjun Dai, Bo Dai, Le Song

Proceedings of the 33nd International Conference on Machine Learning, 2016

The Nonparametric Kernel Bayes Smoother.

Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Provable Bayesian Inference via Particle Mirror Descent.

Bo Dai, Niao He, Hanjun Dai, Le Song

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning to Branch in Mixed Integer Programming.

Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Correlated Cascades: Compete or Cooperate.

Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Le Song, Hongyuan Zha

CoRR, 2015

Online Supervised Subspace Tracking.

Yao Xie, Ruiyang Song, Hanjun Dai, Qingbin Li, Le Song

CoRR, 2015

A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media.

Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha

CoRR, 2015

Scalable Bayesian Inference via Particle Mirror Descent.

Bo Dai, Niao He, Hanjun Dai, Le Song

CoRR, 2015

Distributed Kernel Principal Component Analysis.

Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie

CoRR, 2015

Spiral tool path generation for diamond turning optical freeform surfaces of quasi-revolution.

Hu Gong, Yi Wang, Le Song, Fengzhou Fang

Comput. Aided Des., 2015

Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods.

Manuel Gomez-Rodriguez, Le Song

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.

Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

NetCodec: Community Detection from Individual Activities.

Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients.

Bo Xie, Yingyu Liang, Le Song

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression.

Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

M-Statistic for Kernel Change-Point Detection.

Shuang Li, Yao Xie, Hanjun Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Time-Sensitive Recommendation From Recurrent User Activities.

Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods.

Manuel Gomez-Rodriguez, Le Song

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.

Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems.

Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process.

Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Deep Fried Convnets.

Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A la Carte - Learning Fast Kernels.

Zichao Yang, Andrew Gordon Wilson, Alexander J. Smola, Le Song

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Shaping Social Activity by Incentivizing Users.

Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Time-Varying Coverage Functions.

Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable Kernel Methods via Doubly Stochastic Gradients.

Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Active Learning and Best-Response Dynamics.

Maria-Florina Balcan, Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable diffusion-aware optimization of network topology.

Elias Boutros Khalil, Bistra Dilkina, Le Song

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Nonparametric Estimation of Multi-View Latent Variable Models.

Le Song, Animashree Anandkumar, Bo Dai, Bo Xie

Proceedings of the 31th International Conference on Machine Learning, 2014

Influence Function Learning in Information Diffusion Networks.

Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song

Proceedings of the 31th International Conference on Machine Learning, 2014

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm.

Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf

Proceedings of the 31th International Conference on Machine Learning, 2014

Least Squares Revisited: Scalable Approaches for Multi-class Prediction.

Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant

Proceedings of the 31th International Conference on Machine Learning, 2014

Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem.

Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models.

Le Song, Kenji Fukumizu, Arthur Gretton

IEEE Signal Process. Mag., 2013

Kernel Bayes' rule: Bayesian inference with positive definite kernels.

Kenji Fukumizu, Le Song, Arthur Gretton

J. Mach. Learn. Res., 2013

Calibration Method for Stereovision Measurement of High-Temperature Components Using Two Infrared Cameras.

Le Song, Zihui Zhang

Int. J. Autom. Technol., 2013

A biologically-inspired embedded monitoring network system for moving target detection in panoramic view.

Le Song, Zihui Zhang, Haoyang Zhang

EURASIP J. Wirel. Commun. Netw., 2013

Continuous-Time Influence Maximization for Multiple Items.

Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song

CoRR, 2013

Poly(A) motif prediction using spectral latent features from human DNA sequences.

Bo Xie, Boris R. Jankovic, Vladimir B. Bajic, Le Song, Xin Gao

Bioinform., 2013

Robust Low Rank Kernel Embeddings of Multivariate Distributions.

Le Song, Bo Dai

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable Influence Estimation in Continuous-Time Diffusion Networks.

Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning Triggering Kernels for Multi-dimensional Hawkes Processes.

Ke Zhou, Hongyuan Zha, Le Song

Proceedings of the 30th International Conference on Machine Learning, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.

Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park

Proceedings of the 30th International Conference on Machine Learning, 2013

Unfolding Latent Tree Structures using 4th Order Tensors.

Mariya Ishteva, Haesun Park, Le Song

Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes.

Ke Zhou, Hongyuan Zha, Le Song

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Uncover Topic-Sensitive Information Diffusion Networks.

Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Feature Selection via Dependence Maximization.

Le Song, Alexander J. Smola, Arthur Gretton, Justin Bedo, Karsten M. Borgwardt

J. Mach. Learn. Res., 2012

A Spectral Algorithm for Latent Junction Trees.

Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Learning Networks of Heterogeneous Influence.

Nan Du, Le Song, Alexander J. Smola, Ming Yuan

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Adaptive control of a quadruped robot based on Central Pattern Generators.

Zhongcai Pei, Le Song, Bin Chen, Xiaoqiang Guo

Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012

2011

Kernel Belief Propagation.

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks.

Qirong Ho, Le Song, Eric P. Xing

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multiscale Community Blockmodel for Network Exploration.

Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

TVNViewer: An interactive visualization tool for exploring networks that change over time or space.

Ross E. Curtis, Amos Yuen, Le Song, Anuj Goyal, Eric P. Xing

Bioinform., 2011

Kernel Embeddings of Latent Tree Graphical Models.

Le Song, Ankur P. Parikh, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Kernel Bayes' Rule.

Kenji Fukumizu, Le Song, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Spectral Methods for Learning Multivariate Latent Tree Structure.

Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Spectral Algorithm for Latent Tree Graphical Models.

Ankur P. Parikh, Le Song, Eric P. Xing

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Discriminative frequent subgraph mining with optimality guarantees.

Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt

Stat. Anal. Data Min., 2010

Kernelized Sorting.

Novi Quadrianto, Alexander J. Smola, Le Song, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Nonparametric Tree Graphical Models.

Le Song, Arthur Gretton, Carlos Guestrin

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Nonlinear Dynamic Models from Non-sequenced Data.

Tzu-Kuo Huang, Le Song, Jeff G. Schneider

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Research on sentiment classification of Blog based on PMI-IR.

Xiuting Duan, Tingting He, Le Song

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Hilbert Space Embeddings of Hidden Markov Models.

Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Relative Novelty Detection.

Alexander J. Smola, Le Song, Choon Hui Teo

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

KELLER: estimating time-varying interactions between genes.

Le Song, Mladen Kolar, Eric P. Xing

Bioinform., 2009

Near-optimal Supervised Feature Selection among Frequent Subgraphs.

Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt

Proceedings of the SIAM International Conference on Data Mining, 2009

Time-Varying Dynamic Bayesian Networks.

Le Song, Mladen Kolar, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Sparsistent Learning of Varying-coefficient Models with Structural Changes.

Mladen Kolar, Le Song, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Hilbert space embeddings of conditional distributions with applications to dynamical systems.

Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Dynamic mixed membership blockmodel for evolving networks.

Wenjie Fu, Le Song, Eric P. Xing

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Kernel Measures of Independence for non-iid Data.

Xinhua Zhang, Le Song, Arthur Gretton, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Kernelized Sorting.

Novi Quadrianto, Le Song, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Tailoring density estimation via reproducing kernel moment matching.

Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schölkopf

Proceedings of the Machine Learning, 2008

2007

Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features.

Le Song, Julien Epps

Comput. Intell. Neurosci., 2007

Colored Maximum Variance Unfolding.

Le Song, Alexander J. Smola, Karsten M. Borgwardt, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Kernel Statistical Test of Independence.

Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Gene selection via the BAHSIC family of algorithms.

Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Study on the Vision Reading Algorithm based on Template Matching and Neural Network.

Le Song, Yuchi Lin

Proceedings of the International Joint Conference on Neural Networks, 2007

Method for Automatic Image Recognition based on Algorithm Fusion.

Le Song, Yuchi Lin

Proceedings of the Third International Conference on Natural Computation, 2007

Supervised feature selection via dependence estimation.

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo

Proceedings of the Machine Learning, 2007

A dependence maximization view of clustering.

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt

Proceedings of the Machine Learning, 2007

A Hilbert Space Embedding for Distributions.

Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf

Proceedings of the Discovery Science, 10th International Conference, 2007

2006

The 'when' and 'where' of perceiving signals of threat versus non-threat.

Leanne M. Williams, Donna M. Palmer, Belinda J. Liddell, Le Song, Evian Gordon

NeuroImage, 2006

Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features.

Le Song, Julien Epps

Proceedings of the Machine Learning, 2006

Improving Separability of Eeg Signals During Motor Imagery With An Efficient Circular Laplacian.

Le Song, Julien Epps

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Visualisation and Analysis of Large and Complex Scale-free Networks.

Adel Ahmed, Tim Dwyer, Seok-Hee Hong, Colin Murray, Le Song, Ying Xin Wu

Proceedings of the 7th Joint Eurographics, 2005

Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface.

Le Song, Evian Gordon, Elly Gysels

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Visualisation and Analysis of Network Motifs.

Weidong Huang, Colin Murray, Xiaobin Shen, Le Song, Ying Xin Wu, Lanbo Zheng

Proceedings of the 9th International Conference on Information Visualisation, 2005

Real-time 3D Finger Pointing for an Augmented Desk.

Le Song, Masahiro Takatsuka

Proceedings of the User Interfaces 2005, 2005

Crossing Minimization Problems of Drawing Bipartite Graphs in Two Clusters.

Lanbo Zheng, Le Song, Peter Eades

Proceedings of the Asia-Pacific Symposium on Information Visualisation, 2005

2004

WilmaScope Graph Visualisation.

Adel Ahmed, Tim Dwyer, Colin Murray, Le Song, Ying Xin Wu

Proceedings of the 10th IEEE Symposium on Information Visualization (InfoVis 2004), 2004