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ORCIDShuang Li 0002
Person information
- affiliation: Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
Other persons with the same name
- Shuang Li — disambiguation page
- Shuang Li 0001 — Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research, Beijing, China (and 1 more)
- Shuang Li 0003
![[0000-0003-3729-7496]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3729-7496")
— University of California, Los Angeles, Department of Mathematics, USA (and 2 more) - Shuang Li 0004 — Nanjing University of Aeronautics and Astronautics, College of Astronautics, China (and 1 more)
- Shuang Li 0005 — Chongqing University of Technology, School of Electrical and Electronic Engineering, China
- Shuang Li 0006 — Shandong University of Science and Technology, College of Geomatics, Qingdao, China (and 1 more)
- Shuang Li 0007 — Google Fiber (and 1 more)
- Shuang Li 0008 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 2 more)
- Shuang Li 0009 — Wuhan Institute of Technology, School of Computer Science and Engineering / Hubei Province Key Laboratory of Intelligent Robot, China
- Shuang Li 0010 — Huaihua College, Department of Applied Mathematic, China
- Shuang Li 0011 — China University of Mining and Technology, School of Management, Xuzhou, China
- Shuang Li 0012 — Victoria University of Wellington, Victoria University of Wellington, New Zealand
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2020 – today
- 2022
[j3]Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie:
Imitation Learning of Neural Spatio-Temporal Point Processes. IEEE Trans. Knowl. Data Eng. 34(11): 5391-5402 (2022)- [i11]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) - 2021
- [i10]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) - [i9]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) - 2020
- [c12]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 - [c11]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000
2010 – 2019
- 2019
- [b1]Shuang Li:
Statistical Inference, Modeling, and Learning of Point Processes. Georgia Institute of Technology, Atlanta, GA, USA, 2019 - [c10]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 - [i8]Shixiang Zhu, Shuang Li, Yao Xie:
Reinforcement Learning of Spatio-Temporal Point Processes. CoRR abs/1906.05467 (2019) - 2018
- [c9]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. NeurIPS 2018: 10804-10814 - [c8]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 - [i7]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. CoRR abs/1811.05016 (2018) - [i6]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
- [j2]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) - [j1]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) - [c7]Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song:
Recurrent Hidden Semi-Markov Model. ICLR (Poster) 2017 - [c6]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. ICML 2017: 1097-1106 - [p1]Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Learning Continuous-Time Hidden Markov Models for Event Data. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 361-387 - [i5]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. CoRR abs/1703.07823 (2017) - 2016
- [c5]Shuang Li, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, Wen-Zhan Song:
Online seismic event picking via sequential change-point detection. Allerton 2016: 774-779 - [i4]Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song:
Detecting weak changes in dynamic events over networks. CoRR abs/1603.08981 (2016) - [i3]Shuang Li, Yao Xie, Le Song:
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits. CoRR abs/1610.04599 (2016) - 2015
- [c4]Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS 2015: 1954-1962 - [c3]Shuang Li, Yao Xie, Hanjun Dai, Le Song:
M-Statistic for Kernel Change-Point Detection. NIPS 2015: 3366-3374 - [c2]Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression. NIPS 2015: 3600-3608 - [c1]Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song:
Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) 2015: 619-620 - [i2]Shuang Li, Yao Xie, Hanjun Dai, Le Song:
M-Statistic for Kernel Change-Point Detection. CoRR abs/1507.01279 (2015) - [i1]Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR abs/1507.02293 (2015)
Coauthor Index
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