| 2026 | ACL | GlossaGen: Making Academic Translation Smarter with Glossing. | Zixiao Wang, Duzhen Zhang, Juntian Zhang, Yuhan Liu, Guoming Li, Haolun Wu, Le Song, Xiuying Chen |
| 2025 | ACL | Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs. | Zixiao Wang, Duzhen Zhang, Ishita Agrawal, Shen Gao, Le Song, Xiuying Chen |
| 2025 | CIKM | Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network. | Chunchen Wang, Cheng Yang, Wenchuan Yang, Le Song, Chuan Shi |
| 2025 | ICLR | Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries. | Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song |
| 2024 | ECSCW | The Moment That The Driver Takes Over: Examining trust in full-self driving in a naturalistic and sequential approach. | Le Song, Zhegong Shangguan |
| 2024 | ICLR | Optimistic Bayesian Optimization with Unknown Constraints. | Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2024 | KDD | Advancing Molecule Invariant Representation via Privileged Substructure Identification. | Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi |
| 2023 | ECAI | 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 |
| 2023 | ICCV | 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 |
| 2022 | ACL | Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. | Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang |
| 2022 | EMNLP | 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 |
| 2022 | ICLR | Spanning Tree-based Graph Generation for Molecules. | Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song |
| 2022 | ICLR | Provable Learning-based Algorithm For Sparse Recovery. | Xinshi Chen, Haoran Sun, Le Song |
| 2022 | ICLR | Explaining Point Processes by Learning Interpretable Temporal Logic Rules. | Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song |
| 2022 | ICLR | GNN is a Counter? Revisiting GNN for Question Answering. | Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin |
| 2022 | IJCNN | Concentric Spherical Neural Network for 3D Representation Learning. | James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song |
| 2022 | KDD | Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. | Yinghao Li, Le Song, Chao Zhang |
| 2021 | ACL | BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. | Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song |
| 2021 | CVPR | Orthogonal Over-Parameterized Training. | Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller |
| 2021 | ICLR | Molecule Optimization by Explainable Evolution. | Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song |
| 2021 | IJCNN | 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 |
| 2021 | IROS | 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 |
| 2021 | SIGIR | Answering Any-hop Open-domain Questions with Iterative Document Reranking. | Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song |
| 2021 | SP | ARBITRAR: User-Guided API Misuse Detection. | Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Cost-Effective Incentive Allocation via Structured Counterfactual Inference. | Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song |
| 2020 | CAV | Code2Inv: A Deep Learning Framework for Program Verification. | Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song |
| 2020 | CIKM | Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. | Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi |
| 2020 | CVPR | Regularizing Neural Networks via Minimizing Hyperspherical Energy. | Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song |
| 2020 | EMNLP | 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 |
| 2020 | ICLR | RNA Secondary Structure Prediction By Learning Unrolled Algorithms. | Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song |
| 2020 | ICLR | Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees. | Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song |
| 2020 | ICLR | Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs. | Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang |
| 2020 | ICLR | Double Neural Counterfactual Regret Minimization. | Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song |
| 2020 | ICLR | GLAD: Learning Sparse Graph Recovery. | Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song |
| 2020 | ICLR | Learn to Explain Efficiently via Neural Logic Inductive Learning. | Yuan Yang, Le Song |
| 2020 | ICLR | Efficient Probabilistic Logic Reasoning with Graph Neural Networks. | Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song |
| 2020 | ICML | Temporal Logic Point Processes. | Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song |
| 2020 | ICML | Learning To Stop While Learning To Predict. | Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song |
| 2020 | ICML | Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. | Binghong Chen, Chengtao Li, Hanjun Dai, Le Song |
| 2020 | ICRA | 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 |
| 2020 | SIGIR | DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. | Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang |
| 2019 | AAAI | GeniePath: Graph Neural Networks with Adaptive Receptive Paths. | Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi |
| 2019 | AAAI | 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 |
| 2019 | ACL | Language Modeling with Shared Grammar. | Yuyu Zhang, Le Song |
| 2019 | AISTATS | Kernel Exponential Family Estimation via Doubly Dual Embedding. | Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He |
| 2019 | ICLR | L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. | Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan |
| 2019 | ICLR | Learning a Meta-Solver for Syntax-Guided Program Synthesis. | Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song |
| 2019 | ICML | Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. | Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song |
| 2019 | ICML | Particle Flow Bayes' Rule. | Xinshi Chen, Hanjun Dai, Le Song |
| 2019 | IJCAI | Large Scale Evolving Graphs with Burst Detection. | Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang |
| 2019 | KDD | 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 |
| 2018 | AAAI | Deep Semi-Random Features for Nonlinear Function Approximation. | Kenji Kawaguchi, Bo Xie, Le Song |
| 2018 | AAAI | Learning Conditional Generative Models for Temporal Point Processes. | Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha |
| 2018 | AAAI | Variational Reasoning for Question Answering With Knowledge Graph. | Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song |
| 2018 | AISTATS | Multi-scale Nystrom Method. | Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park |
| 2018 | AISTATS | A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. | Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song |
| 2018 | CIKM | Heterogeneous Graph Neural Networks for Malicious Account Detection. | Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song |
| 2018 | CVPR | Decoupled Networks. | Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song |
| 2018 | CVPR | Iterative Learning With Open-Set Noisy Labels. | Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia |
| 2018 | ICLR | Boosting the Actor with Dual Critic. | Bo Dai, Albert E. Shaw, Niao He, Lihong Li, Le Song |
| 2018 | ICLR | Syntax-Directed Variational Autoencoder for Structured Data. | Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song |
| 2018 | ICML | Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. | Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan |
| 2018 | ICML | Stochastic Training of Graph Convolutional Networks with Variance Reduction. | Jianfei Chen, Jun Zhu, Le Song |
| 2018 | ICML | Learning Steady-States of Iterative Algorithms over Graphs. | Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alexander J. Smola, Le Song |
| 2018 | ICML | Adversarial Attack on Graph Structured Data. | Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song |
| 2018 | ICML | 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 |
| 2018 | ICML | Towards Black-box Iterative Machine Teaching. | Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song |
| 2018 | WWW | 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 |
| 2017 | AISTATS | Diverse Neural Network Learns True Target Functions. | Bo Xie, Yingyu Liang, Le Song |
| 2017 | AISTATS | Learning from Conditional Distributions via Dual Embeddings. | Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song |
| 2017 | AISTATS | Linking Micro Event History to Macro Prediction in Point Process Models. | Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song |
| 2017 | CCS | POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. | Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song |
| 2017 | CCS | Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. | Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song |
| 2017 | CVPR | SphereFace: Deep Hypersphere Embedding for Face Recognition. | Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song |
| 2017 | ICLR | Recurrent Hidden Semi-Markov Model. | Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song |
| 2017 | ICML | Stochastic Generative Hashing. | Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song |
| 2017 | ICML | Fake News Mitigation via Point Process Based Intervention. | Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha |
| 2017 | ICML | Iterative Machine Teaching. | Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song |
| 2017 | ICML | Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. | Rakshit S. Trivedi, Hanjun Dai, Yichen Wang, Le Song |
| 2017 | ICML | Variational Policy for Guiding Point Processes. | Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song |
| 2017 | KDD | GRAM: Graph-based Attention Model for Healthcare Representation Learning. | Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun |
| 2017 | WWW | Distilling Information Reliability and Source Trustworthiness from Digital Traces. | Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schlkopf, Manuel Gomez-Rodriguez |
| 2016 | AAAI | Learning to Branch in Mixed Integer Programming. | Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina |
| 2016 | AISTATS | Provable Bayesian Inference via Particle Mirror Descent. | Bo Dai, Niao He, Hanjun Dai, Le Song |
| 2016 | AISTATS | The Nonparametric Kernel Bayes Smoother. | Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song |
| 2016 | ICML | Discriminative Embeddings of Latent Variable Models for Structured Data. | Hanjun Dai, Bo Dai, Le Song |
| 2016 | ICML | Isotonic Hawkes Processes. | Yichen Wang, Bo Xie, Nan Du, Le Song |
| 2016 | KDD | Communication Efficient Distributed Kernel Principal Component Analysis. | Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie |
| 2016 | KDD | Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. | Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song |
| 2016 | KDD | Smart Broadcasting: Do You Want to be Seen? | Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez |
| 2016 | RecSys | Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. | Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song |
| 2015 | AISTATS | 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 |
| 2015 | AISTATS | A la Carte - Learning Fast Kernels. | Zichao Yang, Andrew Gordon Wilson, Alexander J. Smola, Le Song |
| 2015 | ICCV | Deep Fried Convnets. | Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang |
| 2015 | ICDM | Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. | Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun |
| 2015 | KDD | Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. | Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song |
| 2015 | KDD | Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods. | Manuel Gomez-Rodriguez, Le Song |
| 2015 | WWW | Co-evolutionary Dynamics of Information Diffusion and Network Structure. | Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song |
| 2015 | WWW | Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods. | Manuel Gomez-Rodriguez, Le Song |
| 2015 | UAI | Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. | Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots |
| 2015 | SDM | NetCodec: Community Detection from Individual Activities. | Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha |
| 2014 | COLT | Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem. | Manuel Gomez-Rodriguez, Le Song, Bernhard Schlkopf |
| 2014 | ICML | Least Squares Revisited: Scalable Approaches for Multi-class Prediction. | Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant |
| 2014 | ICML | Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. | Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schlkopf |
| 2014 | ICML | Influence Function Learning in Information Diffusion Networks. | Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song |
| 2014 | ICML | Nonparametric Estimation of Multi-View Latent Variable Models. | Le Song, Animashree Anandkumar, Bo Dai, Bo Xie |
| 2014 | KDD | Scalable diffusion-aware optimization of network topology. | Elias Boutros Khalil, Bistra Dilkina, Le Song |
| 2013 | AISTATS | Uncover Topic-Sensitive Information Diffusion Networks. | Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha |
| 2013 | AISTATS | Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes. | Ke Zhou, Hongyuan Zha, Le Song |
| 2013 | ICML | Unfolding Latent Tree Structures using 4th Order Tensors. | Mariya Ishteva, Haesun Park, Le Song |
| 2013 | ICML | Hierarchical Tensor Decomposition of Latent Tree Graphical Models. | Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park |
| 2013 | ICML | Learning Triggering Kernels for Multi-dimensional Hawkes Processes. | Ke Zhou, Hongyuan Zha, Le Song |
| 2012 | INDIN | Adaptive control of a quadruped robot based on Central Pattern Generators. | Zhongcai Pei, Le Song, Bin Chen, Xiaoqiang Guo |
| 2012 | UAI | A Spectral Algorithm for Latent Junction Trees. | Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing |
| 2011 | ICML | A Spectral Algorithm for Latent Tree Graphical Models. | Ankur P. Parikh, Le Song, Eric P. Xing |
| 2010 | ICML | Hilbert Space Embeddings of Hidden Markov Models. | Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola |
| 2009 | ICML | Dynamic mixed membership blockmodel for evolving networks. | Wenjie Fu, Le Song, Eric P. Xing |
| 2009 | ICML | Hilbert space embeddings of conditional distributions with applications to dynamical systems. | Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu |
| 2009 | SDM | 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 |
| 2008 | ICML | Tailoring density estimation via reproducing kernel moment matching. | Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schlkopf |
| 2007 | ALT | A Hilbert Space Embedding for Distributions. | Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schlkopf |
| 2007 | DIS | A Hilbert Space Embedding for Distributions. | Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schlkopf |
| 2007 | ICML | A dependence maximization view of clustering. | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt |
| 2007 | ICML | Supervised feature selection via dependence estimation. | Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo |
| 2007 | ICNC | Method for Automatic Image Recognition based on Algorithm Fusion. | Le Song, Yuchi Lin |
| 2007 | IJCNN | Study on the Vision Reading Algorithm based on Template Matching and Neural Network. | Le Song, Yuchi Lin |
| 2007 | ISMB | Gene selection via the BAHSIC family of algorithms. | Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola |
| 2006 | ICASSP | Improving Separability of Eeg Signals During Motor Imagery With An Efficient Circular Laplacian. | Le Song, Julien Epps |
| 2006 | ICML | Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features. | Le Song, Julien Epps |
| 2005 | IV | Visualisation and Analysis of Network Motifs. | Weidong Huang, Colin Murray, Xiaobin Shen, Le Song, Ying Xin Wu, Lanbo Zheng |