Quyu Kong

According to our database, Quyu Kong authored at least 31 papers between 2017 and 2026.

Collaborative distances:

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

2026

Long-range Modeling and Processing of Multimodal Event Sequences.

Jichu Li, Yilun Zhong, Zhiting Li, Feng Zhou, Quyu Kong

CoRR, February, 2026

Byte-token Enhanced Language Models for Temporal Point Processes Analysis.

Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu, Feng Zhou

Proceedings of the ACM Web Conference 2026, 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures.

Yixuan Zhang, Jiabin Luo, Zhenggang Wang, Feng Zhou, Quyu Kong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents.

Hanzhang Zhou, Xu Zhang, Panrong Tong, Jianan Zhang, Liangyu Chen, Quyu Kong, Chenglin Cai, Chen Liu, Yue Wang, Jingren Zhou, Steven Hoi

CoRR, December, 2025

MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments.

Quyu Kong, Xu Zhang, Zhenyu Yang, Nolan Gao, Chen Liu, Panrong Tong, Chenglin Cai, Hanzhang Zhou, Jianan Zhang, Liangyu Chen, Zhidan Liu, Steven Hoi, Yue Wang

CoRR, December, 2025

UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning.

Liangyu Chen, Hanzhang Zhou, Chenglin Cai, Jianan Zhang, Panrong Tong, Quyu Kong, Xu Zhang, Chen Liu, Yuqi Liu, Wenxuan Wang, Yue Wang, Qin Jin, Steven Hoi

CoRR, October, 2025

Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling.

Yixuan Zhang, Wenxin Zhang, Hua Jiang, Quyu Kong, Feng Zhou

CoRR, August, 2025

TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding.

Shukai Gong, Yiyang Fu, Fengyuan Ran, Quyu Kong, Feng Zhou

CoRR, July, 2025

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding.

Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong

CoRR, May, 2025

Language-TPP: Integrating Temporal Point Processes with Language Models for Event Analysis.

Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu, Feng Zhou

CoRR, February, 2025

Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches.

Feng Zhou, Quyu Kong, Yixuan Zhang

CoRR, January, 2025

Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions.

He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights.

Yunkai Wang, Quyu Kong, He Zhu, Dongkun Zhang, Longzhong Lin, Hao Sha, Xunlong Xia, Qiao Liang, Bing Deng, Ken Chen, Rong Xiong, Yue Wang, Jieping Ye

IEEE Robotics Autom. Lett., September, 2024

OTVIC: A Dataset with Online Transmission for Vehicle-to-Infrastructure Cooperative 3D Object Detection.

He Zhu, Yunkai Wang, Quyu Kong, Yufei Wei, Xunlong Xia, Bing Deng, Rong Xiong, Yue Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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