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2020 – today
- 2022
[j36]Le Song
, Yinghong Ma:
Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks. Appl. Math. Comput. 428: 127125 (2022)- [j35]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): 27-44 (2022) - [j34]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): 723-726 (2022) - [c176]Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang:
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) 2022: 745-758 - [e1]Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu, Sivan Sabato:
International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Proceedings of Machine Learning Research 162, PMLR 2022 [contents] - [i117]Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song:
Learning Temporal Rules from Noisy Timeseries Data. CoRR abs/2202.05403 (2022) - [i116]Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song:
Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR abs/2202.09212 (2022) - [i115]Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang:
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR abs/2203.09735 (2022) - [i114]Yinghao Li, Le Song, Chao Zhang:
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. CoRR abs/2205.14228 (2022) - [i113]Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song:
Graph Condensation via Receptive Field Distribution Matching. CoRR abs/2206.13697 (2022) - [i112]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 abs/2207.13921 (2022) - 2021
- [j33]Yinghong Ma, Hui Jiao, Le Song:
Tracking Attention of Social Media Event by Hidden Markov Model-Cases from Sina Weibo. IEEE Access 9: 68240-68252 (2021) - [j32]Libao Deng, Le Song, Gaoji Sun:
A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization. IEEE Access 9: 89741-89756 (2021) - [j31]Mengmeng Liu, Yinghong Ma, Le Song, Changyu Liu:
Understanding the game behavior with sentiment and unequal status in cooperation network. Knowl. Based Syst. 212: 106588 (2021) - [j30]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: 1-8 (2021) - [c175]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: 6178-6190 - [c174]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c173]Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song:
Molecule Optimization by Explainable Evolution. ICLR 2021 - [c172]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: 1-8 - [c171]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: 3305-3312 - [c170]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS 2021: 4619-4631 - [c169]Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. NeurIPS 2021: 8833-8844 - [c168]Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song:
Multi-task Learning of Order-Consistent Causal Graphs. NeurIPS 2021: 11083-11095 - [c167]Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS 2021: 17021-17036 - [c166]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [c165]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: 25134-25145 - [c164]Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
Answering Any-hop Open-domain Questions with Iterative Document Reranking. SIGIR 2021: 481-490 - [c163]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: 1400-1415 - [c162]Libao Deng, Le Song, Sibo Hou, Gaoji Sun:
VaCSO: A Multi-objective Collaborative Competition Particle Swarm Algorithm Based on Vector Angles. ICSI (1) 2021: 244-253 - [i111]Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. CoRR abs/2103.01089 (2021) - [i110]James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song:
Concentric Spherical GNN for 3D Representation Learning. CoRR abs/2103.10484 (2021) - [i109]Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song:
How to Design Sample and Computationally Efficient VQA Models. CoRR abs/2103.11537 (2021) - [i108]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 abs/2104.12282 (2021) - [i107]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 abs/2105.07944 (2021) - [i106]Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song:
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. CoRR abs/2105.12848 (2021) - [i105]Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR abs/2110.00804 (2021) - [i104]Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin:
GNN is a Counter? Revisiting GNN for Question Answering. CoRR abs/2110.03192 (2021) - [i103]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 abs/2110.13998 (2021) - [i102]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR abs/2110.14188 (2021) - [i101]Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song:
Multi-task Learning of Order-Consistent Causal Graphs. CoRR abs/2111.02545 (2021) - [i100]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 abs/2111.10946 (2021) - [i99]Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang:
Molecular Attributes Transfer from Non-Parallel Data. CoRR abs/2111.15146 (2021) - [i98]Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song:
Efficient Dynamic Graph Representation Learning at Scale. CoRR abs/2112.07768 (2021) - 2020
- [j29]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: 23324-23335 (2020) - [j28]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: 52726-52737 (2020) - [j27]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): 4995-5001 (2020) - [c161]Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song:
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. AAAI 2020: 1452-1459 - [c160]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: 4997-5004 - [c159]Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song:
Code2Inv: A Deep Learning Framework for Program Verification. CAV (2) 2020: 151-164 - [c158]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: 145-154 - [c157]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: 6916-6925 - [c156]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) 2020: 6759-6768 - [c155]Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. ICLR 2020 - [c154]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 - [c153]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 - [c152]Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song:
Double Neural Counterfactual Regret Minimization. ICLR 2020 - [c151]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song:
GLAD: Learning Sparse Graph Recovery. ICLR 2020 - [c150]Yuan Yang, Le Song:
Learn to Explain Efficiently via Neural Logic Inductive Learning. ICLR 2020 - [c149]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR 2020 - [c148]Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song:
Learning To Stop While Learning To Predict. ICML 2020: 1520-1530 - [c147]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML 2020: 1608-1616 - [c146]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000 - [c145]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: 3139-3145 - [c144]Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song:
Understanding Deep Architecture with Reasoning Layer. NeurIPS 2020 - [c143]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. NeurIPS 2020 - [c142]Yingxiang Yang, Negar Kiyavash, Le Song, Niao He:
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS 2020 - [c141]Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR 2020: 1829-1832 - [i97]Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song:
Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR abs/2001.01408 (2020) - [i96]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR abs/2001.11850 (2020) - [i95]Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. CoRR abs/2002.05810 (2020) - [i94]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR abs/2002.12307 (2020) - [i93]Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. CoRR abs/2002.12591 (2020) - [i92]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020) - [i91]Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song:
Intention Propagation for Multi-agent Reinforcement Learning. CoRR abs/2004.08883 (2020) - [i90]Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song:
Learning to Stop While Learning to Predict. CoRR abs/2006.05082 (2020) - [i89]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. CoRR abs/2006.05806 (2020) - [i88]Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song:
Understanding Deep Architectures with Reasoning Layer. CoRR abs/2006.13401 (2020) - [i87]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. CoRR abs/2006.15820 (2020) - [i86]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR abs/2009.07448 (2020) - [i85]Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering. CoRR abs/2009.07465 (2020) - [i84]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 abs/2011.02551 (2020)
2010 – 2019
- 2019
- [j26]Yelong Zheng, Meirong Zhao, Jile Jiang, Le Song:
Dynamic Force Transducer Calibration Based on Electrostatic Force. IEEE Access 7: 48998-49003 (2019) - [j25]Weiming Yang, Le Song, Clarence Augustine Th Tee, Yelong Zheng, Yuliang Liu:
Unsupervised Learning Grouping-Based Resampling for Particle Filters. IEEE Access 7: 127265-127275 (2019) - [j24]Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha:
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3124-3136 (2019) - [c140]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. AAAI 2019: 639-646 - [c139]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI 2019: 4424-4431 - [c138]Yuyu Zhang, Le Song:
Language Modeling with Shared Grammar. ACL (1) 2019: 4442-4453 - [c137]Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He:
Kernel Exponential Family Estimation via Doubly Dual Embedding. AISTATS 2019: 2321-2330 - [c136]Libao Deng, Le Song, Ning Sun:
On-Chip Health Monitoring Based on DE-Cluster in 2.5D ICs. BIC-TA (1) 2019: 517-526 - [c135]Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan:
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. ICLR (Poster) 2019 - [c134]Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song:
Learning a Meta-Solver for Syntax-Guided Program Synthesis. ICLR (Poster) 2019 - [c133]Xinshi Chen, Hanjun Dai, Le Song:
Particle Flow Bayes' Rule. ICML 2019: 1022-1031 - [c132]Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song:
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML 2019: 1052-1061 - [c131]Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang:
Large Scale Evolving Graphs with Burst Detection. IJCAI 2019: 4412-4418 - [c130]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c129]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS 2019: 1182-1191 - [c128]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. NeurIPS 2019: 5026-5037 - [c127]Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song:
Retrosynthesis Prediction with Conditional Graph Logic Network. NeurIPS 2019: 8870-8880 - [c126]Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans:
Exponential Family Estimation via Adversarial Dynamics Embedding. NeurIPS 2019: 10977-10988 - [c125]Albert Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai:
Meta Architecture Search. NeurIPS 2019: 11225-11235 - [i83]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR abs/1901.09326 (2019) - [i82]Xinshi Chen, Hanjun Dai, Le Song:
Meta Particle Flow for Sequential Bayesian Inference. CoRR abs/1902.00640 (2019) - [i81]Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR abs/1902.02495 (2019) - [i80]Binghong Chen, Bo Dai, Le Song:
Learning to Plan via Neural Exploration-Exploitation Trees. CoRR abs/1903.00070 (2019) - [i79]Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans:
Exponential Family Estimation via Adversarial Dynamics Embedding. CoRR abs/1904.12083 (2019) - [i78]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song:
GLAD: Learning Sparse Graph Recovery. CoRR abs/1906.00271 (2019) - [i77]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Can Graph Neural Networks Help Logic Reasoning? CoRR abs/1906.02111 (2019) - [i76]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. CoRR abs/1906.04892 (2019) - [i75]Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song:
Optimal Solution Predictions for Mixed Integer Programs. CoRR abs/1906.09575 (2019) - [i74]Yuan Yang, Le Song:
Learn to Explain Efficiently via Neural Logic Inductive Learning. CoRR abs/1910.02481 (2019) - [i73]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. CoRR abs/1910.13003 (2019) - [i72]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. CoRR abs/1911.05603 (2019) - 2018
- [j23]Yelong Zheng, Meirong Zhao, Peiyuan Sun, Le Song:
Optimization of Electrostatic Force System Based on Newton Interpolation Method. J. Sensors 2018: 7801597:1-7801597:7 (2018) - [c124]Kenji Kawaguchi, Bo Xie, Le Song:
Deep Semi-Random Features for Nonlinear Function Approximation. AAAI 2018: 3382-3389 - [c123]Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song:
Variational Reasoning for Question Answering With Knowledge Graph. AAAI 2018: 6069-6076 - [c122]Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha:
Learning Conditional Generative Models for Temporal Point Processes. AAAI 2018: 6302-6310 - [c121]Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park:
Multi-scale Nystrom Method. AISTATS 2018: 68-76 - [c120]Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song:
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. AISTATS 2018: 1077-1086 - [c119]