Le Song - RankMe

392 papers A* 104A 28B 7C 3Journal 190Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From System 1 to System 2: A Survey of Reasoning Large Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Duzhen Zhang, Zhong-Zhi Li, Ming-Liang Zhang, Jiaxin Zhang, Zengyan Liu, Yuxuan Yao, Haotian Xu, Junhao Zheng, Xiuyi Chen, Yingying Zhang, Fei Yin, Jiahua Dong, Zhijiang Guo, Le Song, Cheng-Lin Liu
2026	J	`jnl`	The coupling effect of individual behavioral strategies and information completeness on epidemic spreading. Commun. Nonlinear Sci. Numer. Simul. Han Zhou, Yinghong Ma, Le Song, Jinze Song, Lun Liu
2025	—	`conf`	Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs. ACL (Findings) Zixiao Wang, Duzhen Zhang, Ishita Agrawal, Shen Gao, Le Song, Xiuying Chen
2025	J	`jnl`	Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs. CoRR Zixiao Wang, Duzhen Zhang, Ishita Agrawal, Shen Gao, Le Song, Xiuying Chen
2025	J	`jnl`	Computational Protein Science in the Era of Large Language Models (LLMs). CoRR Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu, Qian Zhao, Le Song, Qing Li
2025	J	`jnl`	From System 1 to System 2: A Survey of Reasoning Large Language Models. CoRR Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, Jiaxin Zhang, Zengyan Liu, Yuxuan Yao, Haotian Xu, Junhao Zheng, Pei-Jie Wang, Xiuyi Chen, Yingying Zhang, Fei Yin, Jiahua Dong, Zhijiang Guo, Le Song, Cheng-Lin Liu
2025	A	`conf`	Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network. CIKM Chunchen Wang, Cheng Yang, Wenchuan Yang, Le Song, Chuan Shi
2025	J	`jnl`	GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images. IEEE Trans. Medical Imaging Yanfeng Zhou, Lingrui Li, Chenlong Wang, Le Song, Ge Yang
2025	J	`jnl`	HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens. CoRR Yi Zhou, Haohao Qu, Yunqing Liu, Shanru Lin, Le Song, Wenqi Fan
2025	J	`jnl`	Knowledge Recombination Reveals the Nonlinear Influence of Team Scale on Technological Breakthroughs. Syst. Le Song, Shan Chen, Jinqiao Liang, Xiao Yin
2025	J	`jnl`	LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners. CoRR Junhao Zheng, Xidi Cai, Qiuke Li, Duzhen Zhang, Zhong-Zhi Li, Yingying Zhang, Le Song, Qianli Ma
2025	J	`jnl`	MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph. CoRR Duzhen Zhang, Zixiao Wang, Zhong-Zhi Li, Yahan Yu, Shuncheng Jia, Jiahua Dong, Haotian Xu, Xing Wu, Yingying Zhang, Tielin Zhang, Jie Yang, Xiuying Chen, Le Song
2025	J	`jnl`	MemR CoRR Xingbo Du, Loka Li, Duzhen Zhang, Le Song
2025	J	`jnl`	Multi-level disparity-guided transformers for light field spatial super-resolution. Pattern Recognit. Yigeng Liao, Le Song, Gaoyan Zhang, Fengzhou Fang
2025	J	`jnl`	ProtGO: universal protein function prediction utilizing multi-modal gene ontology knowledge. Bioinform. Boyan Wang, Yangliao Geng, Xingyi Cheng, Bo Chen, Zhilei Bei, Wei Wang, Jie Tang, Le Song
2025	J	`jnl`	Protein Inverse Folding From Structure Feedback. CoRR Junde Xu, Zijun Gao, Xinyi Zhou, Jie Hu, Xingyi Cheng, Le Song, Guangyong Chen, Pheng-Ann Heng, Jiezhong Qiu
2025	J	`jnl`	Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization. CoRR Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P. Xing, Zhiqiang Shen
2025	A*	`conf`	Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries. ICLR Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song
2025	J	`jnl`	Towards More Accurate Full-Atom Antibody Co-Design. CoRR Jiayang Wu, Xingyi Zhang, Xiangyu Dong, Kun Xie, Ziqi Liu, Wensheng Gan, Sibo Wang, Le Song
2024	J	`jnl`	"Oh my Dave, your face says it all!": Exploring the Multimodal Practices of Tasting in Live Streaming. Proc. ACM Hum. Comput. Interact. Le Song
2024	A*	`conf`	Advancing Molecule Invariant Representation via Privileged Substructure Identification. KDD Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi
2024	J	`jnl`	Assessing protein model quality based on deep graph coupled networks using protein language model. Briefings Bioinform. Dong Liu, Biao Zhang, Jun Liu, Hui Li, Le Song, Guijun Zhang
2024	J	`jnl`	AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects. Bioinform. Ding Bai, Caleb N. Ellington, Shentong Mo, Le Song, Eric P. Xing
2024	J	`jnl`	Evaluating the wisdom of scholar crowds from the perspective of knowledge diffusion. Scientometrics Le Song, Guilong Zhu, Xiao Yin
2024	A*	`conf`	MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. NeurIPS Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
2024	J	`jnl`	MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
2024	C	`conf`	Multimodal Practices to Sustain Multiactivity When Live Streaming. IMX Le Song, Zhegong Shangguan
2024	J	`jnl`	On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. Huan Xiong, Lei Huang, Wenston J. T. Zang, Xiantong Zhen, Guo-Sen Xie, Bin Gu, Le Song
2024	A*	`conf`	Optimistic Bayesian Optimization with Unknown Constraints. ICLR Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet
2024	J	`jnl`	Progress and Opportunities of Foundation Models in Bioinformatics. CoRR Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li
2024	J	`jnl`	Progress and opportunities of foundation models in bioinformatics. Briefings Bioinform. Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li
2024	J	`jnl`	Sound identification of abnormal pig vocalizations: Enhancing livestock welfare monitoring on smart farms. Inf. Process. Manag. Yutao Xie, Jun Wang, Cheng Chen, Taixin Yin, Shiyu Yang, Zhiyuan Li, Ye Zhang, Juyang Ke, Le Song, Lin Gan
2024	B	`conf`	The Moment That The Driver Takes Over: Examining trust in full-self driving in a naturalistic and sequential approach. ECSCW Le Song, Zhegong Shangguan
2024	J	`jnl`	Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels. CoRR Le Song, Eran Segal, Eric P. Xing
2024	A*	`conf`	Training Compute-Optimal Protein Language Models. NeurIPS Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song
2024	J	`jnl`	Training Compute-Optimal Protein Language Models. CoRR Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song
2024	—	`conf`	Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. ICSR + BioMed Zhegong Shangguan, Yang Liu, Le Song, Tingcheng Li, Adriana Tapus
2024	J	`jnl`	xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR 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
2023	J	`jnl`	A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. Nat. Mac. Intell. Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
2023	A	`conf`	An Empirical Study of Retrieval-Enhanced Graph Neural Networks. ECAI Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu
2023	J	`jnl`	Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li
2023	A*	`conf`	Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization. NeurIPS Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song
2023	J	`jnl`	LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization. Appl. Intell. Libao Deng, Yuanzhu Di, Le Song, Wenyin Gong
2023	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. 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 K. 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
2023	A*	`conf`	XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. ICCV Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang
2023	A*	`conf`	xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. NeurIPS Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
2023	J	`jnl`	xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. CoRR Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
2022	B	`conf`	Concentric Spherical Neural Network for 3D Representation Learning. IJCNN James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
2022	J	`jnl`	Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks. Appl. Math. Comput. Le Song, Yinghong Ma
2022	A*	`conf`	Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song
2022	A*	`conf`	GNN is a Counter? Revisiting GNN for Question Answering. ICLR Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin
2022	J	`jnl`	GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks. J. Comput. Biol. Harsh Shrivastava, Xiuwei Zhang, Le Song, Srinivas Aluru
2022	J	`jnl`	Graph Condensation via Receptive Field Distribution Matching. CoRR Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song
2022	J	`jnl`	Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori
2022	J	`jnl`	HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. CoRR Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
2022	A*	`ed.`	International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. ICML Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu, Sivan Sabato
2022	J	`jnl`	Learning Temporal Rules from Noisy Timeseries Data. CoRR Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
2022	J	`jnl`	Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song
2022	J	`jnl`	PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
2022	—	`conf`	Path Loss Model for Wearable Robotic Arm System at MHz Band. ICCT Weijia Ren, Fanmiao Sun, Lijia Liu, Yifan Wang, Le Song, Jingjing Shi
2022	—	`conf`	Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
2022	A*	`conf`	Provable Learning-based Algorithm For Sparse Recovery. ICLR Xinshi Chen, Haoran Sun, Le Song
2022	A*	`conf`	ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. EMNLP Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
2022	J	`jnl`	ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. CoRR Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
2022	J	`jnl`	SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling. CoRR Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song
2022	A*	`conf`	Spanning Tree-based Graph Generation for Molecules. ICLR Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
2022	A*	`conf`	Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. KDD Yinghao Li, Le Song, Chao Zhang
2022	J	`jnl`	Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. CoRR Yinghao Li, Le Song, Chao Zhang
2022	A*	`conf`	Uncovering the Structural Fairness in Graph Contrastive Learning. NeurIPS Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
2022	J	`jnl`	Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
2022	J	`jnl`	xTrimoABFold: De novo Antibody Structure Prediction without MSA. CoRR Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song
2021	A*	`conf`	A Biased Graph Neural Network Sampler with Near-Optimal Regret. NeurIPS Qingru Zhang, David Wipf, Quan Gan, Le Song
2021	J	`jnl`	A Biased Graph Neural Network Sampler with Near-Optimal Regret. CoRR Qingru Zhang, David Wipf, Quan Gan, Le Song
2021	J	`jnl`	A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization. IEEE Access Libao Deng, Le Song, Gaoji Sun
2021	A	`conf`	A General Framework for Lifelong Localization and Mapping in Changing Environment. IROS Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun
2021	J	`jnl`	A General Framework for Lifelong Localization and Mapping in Changing Environment. CoRR Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun
2021	A*	`conf`	ARBITRAR: User-Guided API Misuse Detection. SP Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song
2021	A*	`conf`	Answering Any-hop Open-domain Questions with Iterative Document Reranking. SIGIR Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song
2021	—	`conf`	BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. ACL/IJCNLP (1) Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song
2021	J	`jnl`	BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. CoRR Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song
2021	J	`jnl`	Bionic Compound Eye-Inspired High Spatial and Sensitive Tactile Sensor. IEEE Trans. Instrum. Meas. Le Song, Huan Zhu, Yelong Zheng, Meirong Zhao, Clarence Augustine Th Tee, Fengzhou Fang
2021	J	`jnl`	Concentric Spherical GNN for 3D Representation Learning. CoRR James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
2021	J	`jnl`	Efficient Dynamic Graph Representation Learning at Scale. CoRR Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song
2021	J	`jnl`	Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. CoRR 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
2021	J	`jnl`	GNN is a Counter? Revisiting GNN for Question Answering. CoRR Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin
2021	J	`jnl`	How to Design Sample and Computationally Efficient VQA Models. CoRR Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song
2021	A*	`conf`	Locality Sensitive Teaching. NeurIPS Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
2021	J	`jnl`	Molecular Attributes Transfer from Non-Parallel Data. CoRR Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang
2021	A*	`conf`	Molecule Optimization by Explainable Evolution. ICLR Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
2021	A*	`conf`	Multi-task Learning of Order-Consistent Causal Graphs. NeurIPS Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song
2021	J	`jnl`	Multi-task Learning of Order-Consistent Causal Graphs. CoRR Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song
2021	A*	`conf`	Orthogonal Over-Parameterized Training. CVPR Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
2021	A*	`conf`	ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS Zelin Zhao, Karan Samel, Binghong Chen, Le Song
2021	J	`jnl`	ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR Zelin Zhao, Karan Samel, Binghong Chen, Le Song
2021	A*	`conf`	RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021	J	`jnl`	RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021	A*	`conf`	Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. NeurIPS Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si
2021	B	`conf`	Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. IJCNN Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
2021	J	`jnl`	Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. CoRR Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
2021	J	`jnl`	TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. CoRR Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Tracking Attention of Social Media Event by Hidden Markov Model-Cases from Sina Weibo. IEEE Access Yinghong Ma, Hui Jiao, Le Song
2021	J	`jnl`	Understanding the game behavior with sentiment and unequal status in cooperation network. Knowl. Based Syst. Mengmeng Liu, Yinghong Ma, Le Song, Changyu Liu
2021	—	`conf`	VaCSO: A Multi-objective Collaborative Competition Particle Swarm Algorithm Based on Vector Angles. ICSI (1) Libao Deng, Le Song, Sibo Hou, Gaoji Sun
2020	J	`jnl`	A Multiposition Method of Viscous Measurement for Small-Volume Samples With High Viscous. IEEE Trans. Instrum. Meas. Yelong Zheng, Hanli Zhang, Meirong Zhao, He Xin, Clarence Augustine Th Tee, Le Song
2020	J	`jnl`	A Two-Layer Network Model Reveals the Adhesion Scientist Career Stage and Research Topic in China. IEEE Access Yinghong Ma, Zhaoxun Ji, Le Song
2020	A*	`conf`	Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. AAAI Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song
2020	A*	`conf`	Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA 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
2020	A*	`conf`	Bandit Samplers for Training Graph Neural Networks. NeurIPS Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020	J	`jnl`	Bandit Samplers for Training Graph Neural Networks. CoRR Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020	—	`conf`	Code2Inv: A Deep Learning Framework for Program Verification. CAV (2) Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song
2020	A	`conf`	Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. CIKM Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi
2020	A*	`conf`	Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
2020	A*	`conf`	DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
2020	J	`jnl`	DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. CoRR Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
2020	J	`jnl`	DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering. CoRR Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song
2020	A*	`conf`	Double Neural Counterfactual Regret Minimization. ICLR Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song
2020	A*	`conf`	Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2020	J	`jnl`	Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2020	A*	`conf`	GLAD: Learning Sparse Graph Recovery. ICLR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song
2020	J	`jnl`	Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
2020	A*	`conf`	Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs. ICLR Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang
2020	J	`jnl`	Intention Propagation for Multi-agent Reinforcement Learning. CoRR Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
2020	A*	`conf`	Learn to Explain Efficiently via Neural Logic Inductive Learning. ICLR Yuan Yang, Le Song
2020	A*	`conf`	Learning To Stop While Learning To Predict. ICML Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song
2020	A*	`conf`	Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees. ICLR Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song
2020	J	`jnl`	Learning to Stop While Learning to Predict. CoRR Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song
2020	J	`jnl`	Orthogonal Over-Parameterized Training. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
2020	J	`jnl`	Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders. CoRR Rohit Batra, Hanjun Dai, Tran Doan Huan, Lihua Chen, Chiho Kim, Will R. Gutekunst, Le Song, Rampi Ramprasad
2020	—	`conf`	Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
2020	J	`jnl`	Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
2020	A*	`conf`	RNA Secondary Structure Prediction By Learning Unrolled Algorithms. ICLR Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
2020	J	`jnl`	RNA Secondary Structure Prediction By Learning Unrolled Algorithms. CoRR Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
2020	A*	`conf`	Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2020	A*	`conf`	Retro: Learning Retrosynthetic Planning with Neural Guided A Search. ICML Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
2020	J	`jnl`	Retro: Learning Retrosynthetic Planning with Neural Guided A Search. CoRR Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
2020	J	`jnl`	Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
2020	J	`jnl`	Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data. IEEE Access Yinghong Ma, Qiaozheng Chi, Le Song
2020	A*	`conf`	Temporal Logic Point Processes. ICML Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
2020	A*	`conf`	The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS Yingxiang Yang, Negar Kiyavash, Le Song, Niao He
2020	A*	`conf`	Understanding Deep Architecture with Reasoning Layer. NeurIPS Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
2020	J	`jnl`	Understanding Deep Architectures with Reasoning Layer. CoRR Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
2019	J	`jnl`	Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. CoRR 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
2019	J	`jnl`	Can Graph Neural Networks Help Logic Reasoning? CoRR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2019	J	`jnl`	Compressive Hyperspherical Energy Minimization. CoRR Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2019	J	`jnl`	Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
2019	J	`jnl`	Dynamic Force Transducer Calibration Based on Electrostatic Force. IEEE Access Yelong Zheng, Meirong Zhao, Jile Jiang, Le Song
2019	A*	`conf`	Exponential Family Estimation via Adversarial Dynamics Embedding. NeurIPS Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
2019	J	`jnl`	Exponential Family Estimation via Adversarial Dynamics Embedding. CoRR Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
2019	J	`jnl`	GLAD: Learning Sparse Graph Recovery. CoRR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song
2019	A*	`conf`	Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
2019	A*	`conf`	GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
2019	A	`conf`	Kernel Exponential Family Estimation via Doubly Dual Embedding. AISTATS Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He
2019	—	`conf`	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. ICLR (Poster) Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2019	—	`conf`	Language Modeling with Shared Grammar. ACL (1) Yuyu Zhang, Le Song
2019	A*	`conf`	Large Scale Evolving Graphs with Burst Detection. IJCAI Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang
2019	A*	`conf`	Latent Dirichlet Allocation for Internet Price War. AAAI Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
2019	J	`jnl`	Learn to Explain Efficiently via Neural Logic Inductive Learning. CoRR Yuan Yang, Le Song
2019	A*	`conf`	Learning From Networks: Algorithms, Theory, and Applications. KDD Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019	J	`jnl`	Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2019	—	`conf`	Learning a Meta-Solver for Syntax-Guided Program Synthesis. ICLR (Poster) Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song
2019	J	`jnl`	Learning to Plan via Neural Exploration-Exploitation Trees. CoRR Binghong Chen, Bo Dai, Le Song
2019	A*	`conf`	Meta Architecture Search. NeurIPS Albert E. Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai
2019	J	`jnl`	Meta Particle Flow for Sequential Bayesian Inference. CoRR Xinshi Chen, Hanjun Dai, Le Song
2019	A*	`conf`	Neural Similarity Learning. NeurIPS Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
2019	J	`jnl`	Neural Similarity Learning. CoRR Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
2019	—	`conf`	On-Chip Health Monitoring Based on DE-Cluster in 2.5D ICs. BIC-TA (1) Libao Deng, Le Song, Ning Sun
2019	J	`jnl`	Optimal Solution Predictions for Mixed Integer Programs. CoRR Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song
2019	A*	`conf`	Particle Flow Bayes' Rule. ICML Xinshi Chen, Hanjun Dai, Le Song
2019	A*	`conf`	Retrosynthesis Prediction with Conditional Graph Logic Network. NeurIPS Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
2019	J	`jnl`	Unsupervised Learning Grouping-Based Resampling for Particle Filters. IEEE Access Weiming Yang, Le Song, Clarence Augustine Th Tee, Yelong Zheng, Yuliang Liu
2019	A*	`conf`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2019	J	`jnl`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2018	J	`jnl`	A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
2018	A	`conf`	A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. AISTATS Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song
2018	A*	`conf`	Adversarial Attack on Graph Structured Data. ICML Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
2018	J	`jnl`	Adversarial Attack on Graph Structured Data. CoRR Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
2018	J	`jnl`	Bayesian Meta-network Architecture Learning. CoRR Albert E. Shaw, Bo Dai, Weiyang Liu, Le Song
2018	—	`conf`	Boosting the Actor with Dual Critic. ICLR (Poster) Bo Dai, Albert E. Shaw, Niao He, Lihong Li, Le Song
2018	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2018	A*	`conf`	Coupled Variational Bayes via Optimization Embedding. NeurIPS Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song
2018	A*	`conf`	Decoupled Networks. CVPR Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018	J	`jnl`	Decoupled Networks. CoRR Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018	A*	`conf`	Deep Semi-Random Features for Nonlinear Function Approximation. AAAI Kenji Kawaguchi, Bo Xie, Le Song
2018	J	`jnl`	Double Neural Counterfactual Regret Minimization. CoRR Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song
2018	J	`jnl`	GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song
2018	A	`conf`	Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
2018	A*	`conf`	Iterative Learning With Open-Set Noisy Labels. CVPR Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018	J	`jnl`	Iterative Learning with Open-set Noisy Labels. CoRR Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018	J	`jnl`	KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings. CoRR Yuyu Zhang, Hanjun Dai, Kamil Toraman, Le Song
2018	J	`jnl`	Kernel Exponential Family Estimation via Doubly Dual Embedding. CoRR Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He
2018	J	`jnl`	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. CoRR Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	Latent Dirichlet Allocation for Internet Price War. CoRR Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
2018	A*	`conf`	Learning Conditional Generative Models for Temporal Point Processes. AAAI Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
2018	A*	`conf`	Learning Loop Invariants for Program Verification. NeurIPS Xujie Si, Hanjun Dai, Mukund Raghothaman, Mayur Naik, Le Song
2018	A*	`conf`	Learning Steady-States of Iterative Algorithms over Graphs. ICML Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alexander J. Smola, Le Song
2018	A*	`conf`	Learning Temporal Point Processes via Reinforcement Learning. NeurIPS Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song
2018	J	`jnl`	Learning Temporal Point Processes via Reinforcement Learning. CoRR Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song
2018	A*	`conf`	Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. ICML Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. CoRR Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	Learning to Optimize via Wasserstein Deep Inverse Optimal Control. CoRR Yichen Wang, Le Song, Hongyuan Zha
2018	A*	`conf`	Learning towards Minimum Hyperspherical Energy. NeurIPS Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018	J	`jnl`	Learning towards Minimum Hyperspherical Energy. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018	A	`conf`	Multi-scale Nystrom Method. AISTATS Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park
2018	J	`jnl`	Neural Model-Based Reinforcement Learning for Recommendation. CoRR Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
2018	J	`jnl`	Optimization of Electrostatic Force System Based on Newton Interpolation Method. J. Sensors Yelong Zheng, Meirong Zhao, Peiyuan Sun, Le Song
2018	A*	`conf`	SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song
2018	A*	`conf`	Stochastic Training of Graph Convolutional Networks with Variance Reduction. ICML Jianfei Chen, Jun Zhu, Le Song
2018	—	`conf`	Syntax-Directed Variational Autoencoder for Structured Data. ICLR (Poster) Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song
2018	J	`jnl`	Syntax-Directed Variational Autoencoder for Structured Data. CoRR Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song
2018	A*	`conf`	Towards Black-box Iterative Machine Teaching. ICML Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song
2018	A*	`conf`	Variational Reasoning for Question Answering With Knowledge Graph. AAAI Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song
2017	J	`jnl`	A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions. CoRR Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song
2017	J	`jnl`	Boosting the Actor with Dual Critic. CoRR Bo Dai, Albert E. Shaw, Niao He, Lihong Li, Le Song
2017	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2017	—	`conf`	Deep Hyperspherical Learning. NIPS Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song
2017	J	`jnl`	Deep Hyperspherical Learning. CoRR Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song
2017	J	`jnl`	Deep Semi-Random Features for Nonlinear Function Approximation. CoRR Kenji Kawaguchi, Bo Xie, Le Song
2017	J	`jnl`	Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines. IEEE Trans. Parallel Distributed Syst. Yang You, James Demmel, Kent Czechowski, Le Song, Rich Vuduc
2017	J	`jnl`	Detecting Changes in Dynamic Events Over Networks. IEEE Trans. Signal Inf. Process. over Networks Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song
2017	A*	`conf`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A	`conf`	Diverse Neural Network Learns True Target Functions. AISTATS Bo Xie, Yingyu Liang, Le Song
2017	A*	`conf`	Fake News Mitigation via Point Process Based Intervention. ICML Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	J	`jnl`	Fake News Mitigation via Point Process Based Intervention. CoRR Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	A*	`conf`	GRAM: Graph-based Attention Model for Healthcare Representation Learning. KDD Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun
2017	A*	`conf`	Iterative Machine Teaching. ICML Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song
2017	J	`jnl`	Iterative Machine Teaching. CoRR Weiyang Liu, Bo Dai, James M. Rehg, Le Song
2017	J	`jnl`	Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2017	J	`jnl`	Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs. CoRR Rakshit S. Trivedi, Hanjun Dai, Yichen Wang, Le Song
2017	A*	`conf`	Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. ICML Rakshit S. Trivedi, Hanjun Dai, Yichen Wang, Le Song
2017	—	`conf`	Learning Combinatorial Optimization Algorithms over Graphs. NIPS Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song
2017	J	`jnl`	Learning Combinatorial Optimization Algorithms over Graphs. CoRR Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song
2017	—	`ch.`	Learning Continuous-Time Hidden Markov Models for Event Data. Mobile Health - Sensors, Analytic Methods, and Applications Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg
2017	A	`conf`	Learning from Conditional Distributions via Dual Embeddings. AISTATS Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song
2017	A	`conf`	Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
2017	A*	`conf`	Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CCS Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song
2017	J	`jnl`	Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CoRR Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song
2017	—	`conf`	On the Complexity of Learning Neural Networks. NIPS Le Song, Santosh S. Vempala, John Wilmes, Bo Xie
2017	J	`jnl`	On the Complexity of Learning Neural Networks. CoRR Le Song, Santosh S. Vempala, John Wilmes, Bo Xie
2017	A*	`conf`	POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. CCS Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song
2017	—	`conf`	Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song
2017	—	`conf`	Recurrent Hidden Semi-Markov Model. ICLR (Poster) Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song
2017	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2017	J	`jnl`	Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape. Bioinform. Hanjun Dai, Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Le Song, Xin Gao
2017	J	`jnl`	Smoothed Dual Embedding Control. CoRR Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song
2017	A*	`conf`	SphereFace: Deep Hypersphere Embedding for Face Recognition. CVPR Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
2017	J	`jnl`	SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRR Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
2017	A*	`conf`	Stochastic Generative Hashing. ICML Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song
2017	J	`jnl`	Stochastic Generative Hashing. CoRR Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song
2017	J	`jnl`	The Differential Method for Force Measurement Based on Electrostatic Force. J. Sensors Peiyuan Sun, Meirong Zhao, Jile Jiang, Yelong Zheng, Yaqian Han, Le Song
2017	J	`jnl`	Towards Black-box Iterative Machine Teaching. CoRR Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song
2017	A*	`conf`	Variational Policy for Guiding Point Processes. ICML Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song
2017	J	`jnl`	Variational Reasoning for Question Answering with Knowledge Graph. CoRR Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song
2017	—	`conf`	Wasserstein Learning of Deep Generative Point Process Models. NIPS Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
2017	J	`jnl`	Wasserstein Learning of Deep Generative Point Process Models. CoRR Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
2016	—	`conf`	Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions. NIPS Yichen Wang, Nan Du, Rakshit S. Trivedi, Le Song
2016	A*	`conf`	Communication Efficient Distributed Kernel Principal Component Analysis. KDD Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie
2016	J	`jnl`	Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits. CoRR Shuang Li, Yao Xie, Le Song
2016	J	`jnl`	Detecting weak changes in dynamic events over networks. CoRR Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song
2016	A*	`conf`	Discriminative Embeddings of Latent Variable Models for Structured Data. ICML Hanjun Dai, Bo Dai, Le Song
2016	J	`jnl`	Discriminative Embeddings of Latent Variable Models for Structured Data. CoRR Hanjun Dai, Bo Dai, Le Song
2016	J	`jnl`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2016	J	`jnl`	Diversity Leads to Generalization in Neural Networks. CoRR Bo Xie, Yingyu Liang, Le Song
2016	J	`jnl`	Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm. J. Mach. Learn. Res. Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand, Bernhard Schölkopf
2016	J	`jnl`	Fast and Simple Optimization for Poisson Likelihood Models. CoRR Niao He, Zaïd Harchaoui, Yichen Wang, Le Song
2016	J	`jnl`	GRAM: Graph-based Attention Model for Healthcare Representation Learning. CoRR Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun
2016	J	`jnl`	Influence Estimation and Maximization in Continuous-Time Diffusion Networks. ACM Trans. Inf. Syst. Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf
2016	A*	`conf`	Isotonic Hawkes Processes. ICML Yichen Wang, Bo Xie, Nan Du, Le Song
2016	J	`jnl`	Learning from Conditional Distributions via Dual Kernel Embeddings. CoRR Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song
2016	A*	`conf`	Learning to Branch in Mixed Integer Programming. AAAI Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina
2016	—	`conf`	Multistage Campaigning in Social Networks. NIPS Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	J	`jnl`	Multistage Campaigning in Social Networks. CoRR Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	A	`conf`	Provable Bayesian Inference via Particle Mirror Descent. AISTATS Bo Dai, Niao He, Hanjun Dai, Le Song
2016	J	`jnl`	Recurrent Coevolutionary Feature Embedding Processes for Recommendation. CoRR Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song
2016	—	`conf`	Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. DLRS@RecSys Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song
2016	A*	`conf`	Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. KDD Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song
2016	J	`jnl`	Reduction of Kinematic Short Baseline Multipath Effects Based on Multipath Hemispherical Map. Sensors Miaomiao Cai, Wen Chen, Danan Dong, Le Song, Minghua Wang, Zhiren Wang, Feng Zhou, Zhengqi Zheng, Chao Yu
2016	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2016	A*	`conf`	Smart Broadcasting: Do You Want to be Seen? KDD Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
2016	J	`jnl`	Smart broadcasting: Do you want to be seen? CoRR Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
2016	J	`jnl`	Steering Opinion Dynamics in Information Diffusion Networks. CoRR Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song
2016	A	`conf`	The Nonparametric Kernel Bayes Smoother. AISTATS Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song
2015	J	`jnl`	A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media. CoRR Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha
2015	A	`conf`	A la Carte - Learning Fast Kernels. AISTATS Zichao Yang, Andrew Gordon Wilson, Alexander J. Smola, Le Song
2015	A	`conf`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song
2015	J	`jnl`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. CoRR Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du, Mohammad Zamani, Hongyuan Zha, Le Song
2015	A	`conf`	CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems. IPDPS Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc
2015	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	—	`conf`	Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2015	A*	`conf`	Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. ICDM Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun
2015	J	`jnl`	Correlated Cascades: Compete or Cooperate. CoRR Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Le Song, Hongyuan Zha
2015	A*	`conf`	Deep Fried Convnets. ICCV Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
2015	—	`conf`	Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods. WWW (Companion Volume) Manuel Gomez-Rodriguez, Le Song
2015	A*	`conf`	Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods. KDD Manuel Gomez-Rodriguez, Le Song
2015	A*	`conf`	Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. KDD Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song
2015	J	`jnl`	Distributed Kernel Principal Component Analysis. CoRR Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie
2015	—	`conf`	Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression. NIPS Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg
2015	A	`conf`	Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. UAI Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots
2015	—	`conf`	M-Statistic for Kernel Change-Point Detection. NIPS Shuang Li, Yao Xie, Hanjun Dai, Le Song
2015	J	`jnl`	M-Statistic for Kernel Change-Point Detection. CoRR Shuang Li, Yao Xie, Hanjun Dai, Le Song
2015	A	`conf`	NetCodec: Community Detection from Individual Activities. SDM Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha
2015	J	`jnl`	Online Supervised Subspace Tracking. CoRR Yao Xie, Ruiyang Song, Hanjun Dai, Qingbin Li, Le Song
2015	J	`jnl`	Scalable Bayesian Inference via Particle Mirror Descent. CoRR Bo Dai, Niao He, Hanjun Dai, Le Song
2015	—	`conf`	Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. NIPS Bo Xie, Yingyu Liang, Le Song
2015	J	`jnl`	Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. CoRR Bo Xie, Yingyu Liang, Le Song
2015	J	`jnl`	Spiral tool path generation for diamond turning optical freeform surfaces of quasi-revolution. Comput. Aided Des. Hu Gong, Yi Wang, Le Song, Fengzhou Fang
2015	—	`conf`	Time-Sensitive Recommendation From Recurrent User Activities. NIPS Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song
2014	J	`jnl`	A la Carte - Learning Fast Kernels. CoRR Zichao Yang, Alexander J. Smola, Le Song, Andrew Gordon Wilson
2014	—	`conf`	Active Learning and Best-Response Dynamics. NIPS Maria-Florina Balcan, Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song
2014	J	`jnl`	Active Learning and Best-Response Dynamics. CoRR Maria-Florina Balcan, Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song
2014	J	`jnl`	Deep Fried Convnets. CoRR Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
2014	A*	`conf`	Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. ICML Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
2014	J	`jnl`	Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. CoRR Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
2014	A*	`conf`	Influence Function Learning in Information Diffusion Networks. ICML Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song
2014	—	`conf`	Learning Time-Varying Coverage Functions. NIPS Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song
2014	A*	`conf`	Least Squares Revisited: Scalable Approaches for Multi-class Prediction. ICML Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
2014	A*	`conf`	Nonparametric Estimation of Multi-View Latent Variable Models. ICML Le Song, Animashree Anandkumar, Bo Dai, Bo Xie
2014	A*	`conf`	Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem. COLT Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
2014	—	`conf`	Scalable Kernel Methods via Doubly Stochastic Gradients. NIPS Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song
2014	J	`jnl`	Scalable Kernel Methods via Doubly Stochastic Gradients. CoRR Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song
2014	A*	`conf`	Scalable diffusion-aware optimization of network topology. KDD Elias Boutros Khalil, Bistra Dilkina, Le Song
2014	—	`conf`	Shaping Social Activity by Incentivizing Users. NIPS Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	J	`jnl`	Shaping Social Activity by Incentivizing Users. CoRR Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2013	J	`jnl`	A biologically-inspired embedded monitoring network system for moving target detection in panoramic view. EURASIP J. Wirel. Commun. Netw. Le Song, Zihui Zhang, Haoyang Zhang
2013	J	`jnl`	Calibration Method for Stereovision Measurement of High-Temperature Components Using Two Infrared Cameras. Int. J. Autom. Technol. Le Song, Zihui Zhang
2013	J	`jnl`	Continuous-Time Influence Maximization for Multiple Items. CoRR Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song
2013	—	`conf`	Hierarchical Tensor Decomposition of Latent Tree Graphical Models. ICML (3) Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park
2013	J	`jnl`	Kernel Bayes' rule: Bayesian inference with positive definite kernels. J. Mach. Learn. Res. Kenji Fukumizu, Le Song, Arthur Gretton
2013	J	`jnl`	Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models. IEEE Signal Process. Mag. Le Song, Kenji Fukumizu, Arthur Gretton
2013	A	`conf`	Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes. AISTATS Ke Zhou, Hongyuan Zha, Le Song
2013	—	`conf`	Learning Triggering Kernels for Multi-dimensional Hawkes Processes. ICML (3) Ke Zhou, Hongyuan Zha, Le Song
2013	J	`jnl`	Least Squares Revisited: Scalable Approaches for Multi-class Prediction. CoRR Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
2013	J	`jnl`	Nonparametric Estimation of Multi-View Latent Variable Models. CoRR Le Song, Animashree Anandkumar, Bo Dai, Bo Xie
2013	J	`jnl`	Poly(A) motif prediction using spectral latent features from human DNA sequences. Bioinform. Bo Xie, Boris R. Jankovic, Vladimir B. Bajic, Le Song, Xin Gao
2013	—	`conf`	Robust Low Rank Kernel Embeddings of Multivariate Distributions. NIPS Le Song, Bo Dai
2013	—	`conf`	Scalable Influence Estimation in Continuous-Time Diffusion Networks. NIPS Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
2013	J	`jnl`	Scalable Influence Estimation in Continuous-Time Diffusion Networks. CoRR Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
2013	A	`conf`	Uncover Topic-Sensitive Information Diffusion Networks. AISTATS Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha
2013	—	`conf`	Unfolding Latent Tree Structures using 4th Order Tensors. ICML (3) Mariya Ishteva, Haesun Park, Le Song
2012	J	`jnl`	A Spectral Algorithm for Latent Junction Trees CoRR Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
2012	A	`conf`	A Spectral Algorithm for Latent Junction Trees. UAI Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
2012	C	`conf`	Adaptive control of a quadruped robot based on Central Pattern Generators. INDIN Zhongcai Pei, Le Song, Bin Chen, Xiaoqiang Guo
2012	J	`jnl`	Feature Selection via Dependence Maximization. J. Mach. Learn. Res. Le Song, Alexander J. Smola, Arthur Gretton, Justin Bedo, Karsten M. Borgwardt
2012	—	`conf`	Learning Networks of Heterogeneous Influence. NIPS Nan Du, Le Song, Alexander J. Smola, Ming Yuan
2012	J	`jnl`	Unfolding Latent Tree Structures using 4th Order Tensors CoRR Mariya Ishteva, Haesun Park, Le Song
2011	A*	`conf`	A Spectral Algorithm for Latent Tree Graphical Models. ICML Ankur P. Parikh, Le Song, Eric P. Xing
2011	A	`conf`	Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. AISTATS Qirong Ho, Le Song, Eric P. Xing
2011	—	`conf`	Kernel Bayes' Rule. NIPS Kenji Fukumizu, Le Song, Arthur Gretton
2011	J	`jnl`	Kernel Belief Propagation CoRR Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
2011	A	`conf`	Kernel Belief Propagation. AISTATS Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
2011	—	`conf`	Kernel Embeddings of Latent Tree Graphical Models. NIPS Le Song, Ankur P. Parikh, Eric P. Xing
2011	A	`conf`	Multiscale Community Blockmodel for Network Exploration. AISTATS Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing
2011	J	`jnl`	Spectral Methods for Learning Multivariate Latent Tree Structure CoRR Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song, Tong Zhang
2011	—	`conf`	Spectral Methods for Learning Multivariate Latent Tree Structure. NIPS Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song, Tong Zhang
2011	J	`jnl`	TVNViewer: An interactive visualization tool for exploring networks that change over time or space. Bioinform. Ross E. Curtis, Amos Yuen, Le Song, Anuj Goyal, Eric P. Xing
2010	J	`jnl`	Discriminative frequent subgraph mining with optimality guarantees. Stat. Anal. Data Min. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
2010	A*	`conf`	Hilbert Space Embeddings of Hidden Markov Models. ICML Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola
2010	J	`jnl`	Kernelized Sorting. IEEE Trans. Pattern Anal. Mach. Intell. Novi Quadrianto, Alexander J. Smola, Le Song, Tinne Tuytelaars
2010	A	`conf`	Learning Nonlinear Dynamic Models from Non-sequenced Data. AISTATS Tzu-Kuo Huang, Le Song, Jeff G. Schneider
2010	A	`conf`	Nonparametric Tree Graphical Models. AISTATS Le Song, Arthur Gretton, Carlos Guestrin
2010	—	`conf`	Research on sentiment classification of Blog based on PMI-IR. NLPKE Xiuting Duan, Tingting He, Le Song
2009	A*	`conf`	Dynamic mixed membership blockmodel for evolving networks. ICML Wenjie Fu, Le Song, Eric P. Xing
2009	A*	`conf`	Hilbert space embeddings of conditional distributions with applications to dynamical systems. ICML Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu
2009	J	`jnl`	KELLER: estimating time-varying interactions between genes. Bioinform. Le Song, Mladen Kolar, Eric P. Xing
2009	A	`conf`	Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
2009	A	`conf`	Relative Novelty Detection. AISTATS Alexander J. Smola, Le Song, Choon Hui Teo
2009	—	`conf`	Sparsistent Learning of Varying-coefficient Models with Structural Changes. NIPS Mladen Kolar, Le Song, Eric P. Xing
2009	—	`conf`	Time-Varying Dynamic Bayesian Networks. NIPS Le Song, Mladen Kolar, Eric P. Xing
2008	—	`conf`	Combining near-optimal feature selection with gSpan. MLG@ICML Karsten M. Borgwardt, Xifeng Yan, Marisa Thoma, Hong Cheng, Arthur Gretton, Le Song, Alex Smola, Jiawei Han, Philip S. Yu, Hans-Peter Kriegel
2008	—	`conf`	Kernel Measures of Independence for non-iid Data. NIPS Xinhua Zhang, Le Song, Arthur Gretton, Alexander J. Smola
2008	—	`conf`	Kernelized Sorting. NIPS Novi Quadrianto, Le Song, Alexander J. Smola
2008	A*	`conf`	Tailoring density estimation via reproducing kernel moment matching. ICML Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schölkopf
2007	B	`conf`	A Hilbert Space Embedding for Distributions. ALT Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf
2007	B	`conf`	A Hilbert Space Embedding for Distributions. Discovery Science Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf
2007	—	`conf`	A Kernel Statistical Test of Independence. NIPS Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alexander J. Smola
2007	A*	`conf`	A dependence maximization view of clustering. ICML Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt
2007	J	`jnl`	Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features. Comput. Intell. Neurosci. Le Song, Julien Epps
2007	—	`conf`	Colored Maximum Variance Unfolding. NIPS Le Song, Alexander J. Smola, Karsten M. Borgwardt, Arthur Gretton
2007	—	`conf`	Gene selection via the BAHSIC family of algorithms. ISMB/ECCB (Supplement of Bioinformatics) Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola
2007	—	`conf`	Method for Automatic Image Recognition based on Algorithm Fusion. ICNC (2) Le Song, Yuchi Lin
2007	B	`conf`	Study on the Vision Reading Algorithm based on Template Matching and Neural Network. IJCNN Le Song, Yuchi Lin
2007	J	`jnl`	Supervised Feature Selection via Dependence Estimation CoRR Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
2007	A*	`conf`	Supervised feature selection via dependence estimation. ICML Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
2006	A*	`conf`	Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features. ICML Le Song, Julien Epps
2006	—	`conf`	Improving Separability of Eeg Signals During Motor Imagery With An Efficient Circular Laplacian. ICASSP (2) Le Song, Julien Epps
2006	J	`jnl`	The 'when' and 'where' of perceiving signals of threat versus non-threat. NeuroImage Leanne M. Williams, Donna M. Palmer, Belinda J. Liddell, Le Song, Evian Gordon
2005	—	`conf`	Crossing Minimization Problems of Drawing Bipartite Graphs in Two Clusters. APVIS Lanbo Zheng, Le Song, Peter Eades
2005	—	`conf`	Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface. NIPS Le Song, Evian Gordon, Elly Gysels
2005	—	`conf`	Real-time 3D Finger Pointing for an Augmented Desk. AUIC Le Song, Masahiro Takatsuka
2005	B	`conf`	Visualisation and Analysis of Large and Complex Scale-free Networks. EuroVis Adel Ahmed, Tim Dwyer, Seok-Hee Hong, Colin Murray, Le Song, Ying Xin Wu
2005	C	`conf`	Visualisation and Analysis of Network Motifs. IV Weidong Huang, Colin Murray, Xiaobin Shen, Le Song, Ying Xin Wu, Lanbo Zheng
2004	—	`conf`	WilmaScope Graph Visualisation. INFOVIS Adel Ahmed, Tim Dwyer, Colin Murray, Le Song, Ying Xin Wu