Shuang Li

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Venues

CoRR

NIPS

ICML

WWW (Companion Volume)

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. CoRR (2024)
Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning. ICLR (2024)
Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li
Neuro-Symbolic Temporal Point Processes. CoRR (2024)
Yiling Kuang, Chao Yang, Yang Yang, Shuang Li
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation. AISTATS (2024)
Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
Learning Temporal Rules from Noisy Timeseries Data. CoRR (2022)
Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie
Imitation Learning of Neural Spatio-Temporal Point Processes. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
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)
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)
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)
Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
Temporal Logic Point Processes. ICML (2020)
Shixiang Zhu, Shuang Li, Yao Xie
Reinforcement Learning of Spatio-Temporal Point Processes. CoRR (2019)
Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML (2019)
Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song
Learning Temporal Point Processes via Reinforcement Learning. NeurIPS (2018)
Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song
Learning Temporal Point Processes via Reinforcement Learning. CoRR (2018)
Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
Neural Model-Based Reinforcement Learning for Recommendation. CoRR (2018)
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)
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) (2017)
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 (2017)
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)
Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song
Recurrent Hidden Semi-Markov Model. ICLR (Poster) (2017)
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 (2017)
Shuang Li, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, Wen-Zhan Song
Online seismic event picking via sequential change-point detection. Allerton (2016)
Shuang Li, Yao Xie, Le Song
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits. CoRR (2016)
Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song
Detecting weak changes in dynamic events over networks. CoRR (2016)
Shuang Li, Yao Xie, Hanjun Dai, Le Song
M-Statistic for Kernel Change-Point Detection. NIPS (2015)
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)
Shuang Li, Yao Xie, Hanjun Dai, Le Song
M-Statistic for Kernel Change-Point Detection. CoRR (2015)
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)
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 (2015)
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)

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Publication Activity (10 Years)

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Shuang Li