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2020 – today
- 2021
[j30]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)- 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]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018: 2077-2085 - [c118]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CVPR 2018: 2771-2779 - [c117]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning With Open-Set Noisy Labels. CVPR 2018: 8688-8696 - [c116]Bo Dai, Albert Shaw, Niao He, Lihong Li, Le Song:
Boosting the Actor with Dual Critic. ICLR (Poster) 2018 - [c115]Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song:
Syntax-Directed Variational Autoencoder for Structured Data. ICLR (Poster) 2018 - [c114]Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan:
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. ICML 2018: 882-891 - [c113]Jianfei Chen, Jun Zhu, Le Song:
Stochastic Training of Graph Convolutional Networks with Variance Reduction. ICML 2018: 941-949 - [c112]Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alexander J. Smola, Le Song:
Learning Steady-States of Iterative Algorithms over Graphs. ICML 2018: 1114-1122 - [c111]Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song:
Adversarial Attack on Graph Structured Data. ICML 2018: 1123-1132 - [c110]Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song:
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML 2018: 1133-1142 - [c109]Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. ICML 2018: 3147-3155 - [c108]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. NeurIPS 2018: 6225-6236 - [c107]Xujie Si, Hanjun Dai, Mukund Raghothaman, Mayur Naik, Le Song:
Learning Loop Invariants for Program Verification. NeurIPS 2018: 7762-7773 - [c106]Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song:
Coupled Variational Bayes via Optimization Embedding. NeurIPS 2018: 9713-9723 - [c105]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. NeurIPS 2018: 10804-10814 - [c104]Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) 2018: 473-477 - [i71]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR abs/1802.00910 (2018) - [i70]Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan:
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. CoRR abs/1802.07814 (2018) - [i69]Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song:
Syntax-Directed Variational Autoencoder for Structured Data. CoRR abs/1802.08786 (2018) - [i68]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning with Open-set Noisy Labels. CoRR abs/1804.00092 (2018) - [i67]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CoRR abs/1804.08071 (2018) - [i66]Yichen Wang, Le Song, Hongyuan Zha:
Learning to Optimize via Wasserstein Deep Inverse Optimal Control. CoRR abs/1805.08395 (2018) - [i65]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. CoRR abs/1805.09298 (2018) - [i64]Yuyu Zhang, Hanjun Dai, Kamil Toraman, Le Song:
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings. CoRR abs/1805.12393 (2018) - [i63]Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song:
Adversarial Attack on Graph Structured Data. CoRR abs/1806.02371 (2018) - [i62]Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan:
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. CoRR abs/1808.02610 (2018) - [i61]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. CoRR abs/1808.07621 (2018) - [i60]Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He:
Kernel Exponential Family Estimation via Doubly Dual Embedding. CoRR abs/1811.02228 (2018) - [i59]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. CoRR abs/1811.05016 (2018) - [i58]Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR abs/1811.10158 (2018) - [i57]Albert Shaw, Bo Dai, Weiyang Liu, Le Song:
Bayesian Meta-network Architecture Learning. CoRR abs/1812.09584 (2018) - [i56]Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song:
Double Neural Counterfactual Regret Minimization. CoRR abs/1812.10607 (2018) - [i55]Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song:
Neural Model-Based Reinforcement Learning for Recommendation. CoRR abs/1812.10613 (2018) - 2017
- [j22]Hanjun Dai, Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Le Song, Xin Gao:
Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape. Bioinform. 33(22): 3575-3583 (2017) - [j21]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. 18: 2:1-2:45 (2017) - [j20]Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. 18: 41:1-41:49 (2017) - [j19]Peiyuan Sun, Meirong Zhao, Jile Jiang, Yelong Zheng, Yaqian Han, Le Song:
The Differential Method for Force Measurement Based on Electrostatic Force. J. Sensors 2017: 1857920:1-1857920:7 (2017) - [j18]Yang You, James Demmel, Kent Czechowski, Le Song, Rich Vuduc:
Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines. IEEE Trans. Parallel Distributed Syst. 28(4): 974-988 (2017) - [j17]Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song:
Detecting Changes in Dynamic Events Over Networks. IEEE Trans. Signal Inf. Process. over Networks 3(2): 346-359 (2017) - [c103]Bo Xie, Yingyu Liang, Le Song:
Diverse Neural Network Learns True Target Functions. AISTATS 2017: 1216-1224 - [c102]Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song:
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS 2017: 1375-1384 - [c101]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Embeddings. AISTATS 2017: 1458-1467 - [c100]Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song:
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CCS 2017: 363-376 - [c99]Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song:
POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. CCS 2017: 2543-2545 - [c98]Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song:
SphereFace: Deep Hypersphere Embedding for Face Recognition. CVPR 2017: 6738-6746 - [c97]Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li</