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Shuang Li
Shuang Li
Assistant Professor, School of Data Science, The Chinese University of Hong Kong (Shenzhen)
Verified email at cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
Coevolve: A joint point process model for information diffusion and network evolution
M Farajtabar, Y Wang, M Gomez-Rodriguez, S Li, H Zha, L Song
Journal of Machine Learning Research 18 (41), 1-49, 2017
2722017
Generative adversarial user model for reinforcement learning based recommendation system
X Chen, S Li, H Li, S Jiang, Y Qi, L Song
International Conference on Machine Learning, 1052-1061, 2019
2092019
Fake news mitigation via point process based intervention
M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha
International conference on machine learning, 1097-1106, 2017
2002017
M-statistic for kernel change-point detection
S Li, Y Xie, H Dai, L Song
Advances in Neural Information Processing Systems 28, 2015
161*2015
Efficient learning of continuous-time hidden Markov models for disease progression
YY Liu, S Li, F Li, L Song, JM Rehg
Advances in neural information processing systems 28, 2015
1282015
Learning temporal point processes via reinforcement learning
S Li, S Xiao, S Zhu, N Du, Y Xie, L Song
Advances in neural information processing systems 31, 2018
1102018
Continuous-time dynamic graph learning via neural interaction processes
X Chang, X Liu, J Wen, S Li, Y Fang, L Song, Y Qi
Proceedings of the 29th ACM International Conference on Information …, 2020
542020
Detecting changes in dynamic events over networks
S Li, Y Xie, M Farajtabar, A Verma, L Song
IEEE Transactions on Signal and Information Processing over Networks 3 (2 …, 2017
452017
Recurrent hidden semi-markov model
H Dai, B Dai, YM Zhang, S Li, L Song
International Conference on Learning Representations, 2016
312016
Tcl: Transformer-based dynamic graph modelling via contrastive learning
L Wang, X Chang, S Li, Y Chu, H Li, W Zhang, X He, L Song, J Zhou, ...
arXiv preprint arXiv:2105.07944, 2021
302021
Imitation learning of neural spatio-temporal point processes
S Zhu, S Li, Z Peng, Y Xie
IEEE Transactions on Knowledge and Data Engineering 34 (11), 5391-5402, 2021
17*2021
Temporal logic point processes
S Li, L Wang, R Zhang, X Chang, X Liu, Y Xie, Y Qi, L Song
International Conference on Machine Learning, 5990-6000, 2020
172020
Explaining point processes by learning interpretable temporal logic rules
S Li, M Feng, L Wang, A Essofi, Y Cao, J Yan, L Song
International Conference on Learning Representations, 2021
142021
Co-evolutionary dynamics of information diffusion and network structure
M Farajtabar, M Gomez-Rodriguez, Y Wang, S Li, H Zha, L Song
Proceedings of the 24th International Conference on World Wide Web, 619-620, 2015
142015
Learning continuous-time hidden markov models for event data
YY Liu, A Moreno, S Li, F Li, L Song, JM Rehg
Mobile Health: Sensors, Analytic Methods, and Applications, 361-387, 2017
132017
Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example
S Li, AM Psihogios, ER McKelvey, A Ahmed, M Rabbi, S Murphy
Current opinion in systems biology 21, 1-8, 2020
102020
Neural model-based reinforcement learning for recommendation
X Chen, S Li, H Li, S Jiang, L Song
92018
Interpretable deep generative spatio-temporal point processes
S Zhu, S Li, Z Peng, Y Xie
AI for Earth Sciences Workshop at NeurIPS, 2020
62020
Reinforcement learning of spatio-temporal point processes
S Zhu, S Li, Y Xie
arXiv preprint arXiv:1906.05467, 2019
62019
Understanding the spread of COVID-19 epidemic: A spatio-temporal point process view
S Li, L Wang, X Chen, Y Fang, Y Song
arXiv preprint arXiv:2106.13097, 2021
42021
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