Le Song

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 251

Top Venues

Publications

Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi
Advancing Molecule Invariant Representation via Privileged Substructure Identification. KDD (2024)
Le Song, Zhegong Shangguan
Multimodal Practices to Sustain Multiactivity When Live Streaming. IMX (2024)
Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet
Optimistic Bayesian Optimization with Unknown Constraints. ICLR (2024)
Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR (2024)
Le Song, Zhegong Shangguan
The Moment That The Driver Takes Over: Examining trust in full-self driving in a naturalistic and sequential approach. ECSCW (2024)
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
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR (2024)
Yutao Xie, Jun Wang, Cheng Chen, Taixin Yin, Shiyu Yang, Zhiyuan Li, Ye Zhang, Juyang Ke, Le Song, Lin Gan
Sound identification of abnormal pig vocalizations: Enhancing livestock welfare monitoring on smart farms. Inf. Process. Manag. 61 (4) (2024)
Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR (2024)
Huan Xiong, Lei Huang, Wenston J. T. Zang, Xiantong Zhen, Guo-Sen Xie, Bin Gu, Le Song
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. ICCV (2023)
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
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu
An Empirical Study of Retrieval-Enhanced Graph Neural Networks. ECAI (2023)
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. CoRR (2023)
Libao Deng, Yuanzhu Di, Le Song, Wenyin Gong
LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization. Appl. Intell. 53 (20) (2023)
Dong Liu, Biao Zhang, Jun Liu, Hui Li, Le Song, Guijun Zhang
Assessing protein model quality based on deep graph coupled networks using protein language model. Briefings Bioinform. 25 (1) (2023)
Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR (2023)
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. NeurIPS (2023)
Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization. NeurIPS (2023)
Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. Nat. Mac. Intell. 5 (10) (2023)
Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling. CoRR (2022)
Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin
GNN is a Counter? Revisiting GNN for Question Answering. ICLR (2022)
Weijia Ren, Fanmiao Sun, Lijia Liu, Yifan Wang, Le Song, Jingjing Shi
Path Loss Model for Wearable Robotic Arm System at MHz Band. ICCT (2022)
Xinshi Chen, Haoran Sun, Le Song
Provable Learning-based Algorithm For Sparse Recovery. ICLR (2022)
Yinghao Li, Le Song, Chao Zhang
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. CoRR (2022)
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR (2022)
Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song
Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR (2022)
Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. EMNLP (2022)
Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
Learning Temporal Rules from Noisy Timeseries Data. CoRR (2022)
Harsh Shrivastava, Xiuwei Zhang, Le Song, Srinivas Aluru
GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks. J. Comput. Biol. 29 (1) (2022)
Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song
Graph Condensation via Receptive Field Distribution Matching. CoRR (2022)
Le Song, Yinghong Ma
Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks. Appl. Math. Comput. 428 (2022)
Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR (2022)
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
Uncovering the Structural Fairness in Graph Contrastive Learning. NeurIPS (2022)
Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. CoRR (2022)
Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song
xTrimoABFold: De novo Antibody Structure Prediction without MSA. CoRR (2022)
Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song
Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR (2022)
Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
Spanning Tree-based Graph Generation for Molecules. ICLR (2022)
James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Concentric Spherical Neural Network for 3D Representation Learning. IJCNN (2022)
Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. CoRR (2022)
Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) (2022)
Yinghao Li, Le Song, Chao Zhang
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. KDD (2022)
Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin
GNN is a Counter? Revisiting GNN for Question Answering. CoRR (2021)
James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Concentric Spherical GNN for 3D Representation Learning. CoRR (2021)
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR (2021)
Qingru Zhang, David Wipf, Quan Gan, Le Song
A Biased Graph Neural Network Sampler with Near-Optimal Regret. NeurIPS (2021)
Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song
ARBITRAR: User-Guided API Misuse Detection. IEEE Symposium on Security and Privacy (2021)
Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. CoRR (2021)
Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun
A General Framework for Lifelong Localization and Mapping in Changing Environment. CoRR (2021)
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
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. CoRR (2021)
Yinghong Ma, Hui Jiao, Le Song
Tracking Attention of Social Media Event by Hidden Markov Model-Cases from Sina Weibo. IEEE Access 9 (2021)
Qingru Zhang, David Wipf, Quan Gan, Le Song
A Biased Graph Neural Network Sampler with Near-Optimal Regret. CoRR (2021)
Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang
Molecular Attributes Transfer from Non-Parallel Data. CoRR (2021)
Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song
Answering Any-hop Open-domain Questions with Iterative Document Reranking. SIGIR (2021)
Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song
Multi-task Learning of Order-Consistent Causal Graphs. NeurIPS (2021)
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. IJCNN (2021)
Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song
How to Design Sample and Computationally Efficient VQA Models. CoRR (2021)
Libao Deng, Le Song, Gaoji Sun
A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization. IEEE Access 9 (2021)
Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. CoRR (2021)
Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
Locality Sensitive Teaching. NeurIPS (2021)
Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song
Efficient Dynamic Graph Representation Learning at Scale. CoRR (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
Orthogonal Over-Parameterized Training. CVPR (2021)
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS (2021)
Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun
A General Framework for Lifelong Localization and Mapping in Changing Environment. IROS (2021)
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. CoRR (2021)
Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song
Multi-task Learning of Order-Consistent Causal Graphs. CoRR (2021)
Mengmeng Liu, Yinghong Ma, Le Song, Changyu Liu
Understanding the game behavior with sentiment and unequal status in cooperation network. Knowl. Based Syst. 212 (2021)
Le Song, Huan Zhu, Yelong Zheng, Meirong Zhao, Clarence Augustine Th Tee, Fengzhou Fang
Bionic Compound Eye-Inspired High Spatial and Sensitive Tactile Sensor. IEEE Trans. Instrum. Meas. 70 (2021)
Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. NeurIPS (2021)
Zelin Zhao, Karan Samel, Binghong Chen, Le Song
ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS (2021)
Libao Deng, Le Song, Sibo Hou, Gaoji Sun
VaCSO: A Multi-objective Collaborative Competition Particle Swarm Algorithm Based on Vector Angles. ICSI (1) (2021)
Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. ACL/IJCNLP (1) (2021)
Zelin Zhao, Karan Samel, Binghong Chen, Le Song
ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR (2021)
Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Molecule Optimization by Explainable Evolution. ICLR (2021)
Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR (2020)
Yelong Zheng, Hanli Zhang, Meirong Zhao, He Xin, Clarence Augustine Th Tee, Le Song
A Multiposition Method of Viscous Measurement for Small-Volume Samples With High Viscous. IEEE Trans. Instrum. Meas. 69 (7) (2020)
Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
Understanding Deep Architectures with Reasoning Layer. CoRR (2020)
Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR (2020)
Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering. CoRR (2020)
Yinghong Ma, Qiaozheng Chi, Le Song
Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data. IEEE Access 8 (2020)
Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. CIKM (2020)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
Orthogonal Over-Parameterized Training. CoRR (2020)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI (2020)
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR (2020)
Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song
Learning to Stop While Learning to Predict. CoRR (2020)
Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. ICLR (2020)
Rohit Batra, Hanjun Dai, Tran Doan Huan, Lihua Chen, Chiho Kim, Will R. Gutekunst, Le Song, Rampi Ramprasad
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders. CoRR (2020)
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
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA (2020)
Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
Temporal Logic Point Processes. ICML (2020)
Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. CoRR (2020)
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR (2020)
Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. CoRR (2020)
Yinghong Ma, Zhaoxun Ji, Le Song
A Two-Layer Network Model Reveals the Adhesion Scientist Career Stage and Research Topic in China. IEEE Access 8 (2020)
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR (2020)
Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees. ICLR (2020)
Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR (2020)
Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang
Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs. ICLR (2020)
Yuan Yang, Le Song
Learn to Explain Efficiently via Neural Logic Inductive Learning. ICLR (2020)
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. NeurIPS (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Le Song