Shuang Li

Affiliations:
  • Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA


According to our database1, Shuang Li authored at least 23 papers between 2015 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Imitation Learning of Neural Spatio-Temporal Point Processes.
IEEE Trans. Knowl. Data Eng., 2022

Learning Temporal Rules from Noisy Timeseries Data.
CoRR, 2022

2021
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling.
CoRR, 2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.
CoRR, 2021

2020
Temporal Logic Point Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Statistical Inference, Modeling, and Learning of Point Processes.
PhD thesis, 2019

Reinforcement Learning of Spatio-Temporal Point Processes.
CoRR, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Neural Model-Based Reinforcement Learning for Recommendation.
CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Learning Temporal Point Processes via Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Detecting Changes in Dynamic Events Over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.
J. Mach. Learn. Res., 2017

Fake News Mitigation via Point Process Based Intervention.
Proceedings of the 34th International Conference on Machine Learning, 2017

Recurrent Hidden Semi-Markov Model.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits.
CoRR, 2016

Detecting weak changes in dynamic events over networks.
CoRR, 2016

Online seismic event picking via sequential change-point detection.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Co-evolutionary Dynamics of Information Diffusion and Network Structure.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

M-Statistic for Kernel Change-Point Detection.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


  Loading...