Quyu Kong

According to our database, Quyu Kong authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Heterogeneous multi-task Gaussian Cox processes.

Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu

Mach. Learn., December, 2023

Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems.

Quyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu

Proceedings of the ACM Web Conference 2023, 2023

Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes.

Yixuan Zhang, Quyu Kong, Feng Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient Inference for Dynamic Flexible Interactions of Neural Populations.

Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu

J. Mach. Learn. Res., 2022

Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions.

Quyu Kong, Emily Booth, Francesco Bailo, Amelia Johns, Marian-Andrei Rizoiu

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Nonlinear Hawkes Processes in Time-Varying System.

Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu

CoRR, 2021

Contact Tracing: Computational Bounds, Limitations and Implications.

Quyu Kong, Manuel García-Herranz, Iván Dotú, Manuel Cebrián

CoRR, 2021

Birdspotter: A Tool for Analyzing and Labeling Twitter Users.

Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu

Proceedings of the WSDM '21, 2021

Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes.

Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu

Proceedings of the WSDM '21, 2021

2020

A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling.

Quyu Kong, Rohit Ram, Marian-Andrei Rizoiu

CoRR, 2020

Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes.

Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie

CoRR, 2020

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models.

Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes.

Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Linking Epidemic Models and Hawkes Point Processes for Modeling Information Diffusion.

Quyu Kong

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.

Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos.

Quyu Kong, Marian-Andrei Rizoiu, Siqi Wu, Lexing Xie

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes.

Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie

CoRR, 2017