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)

Will This Video Go Viral: Explaining and Predicting the Popularity of Youtube Videos. - Quyu Kong; Marian-Andrei Rizoiu; Siqi Wu; Lexing Xie (WWW (Companion Volume), 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 (WWW, 2018)

Linking Epidemic Models and Hawkes Point Processes for Modeling Information Diffusion. - Quyu Kong (WSDM, 2019)

Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. - Quyu Kong; Marian-Andrei Rizoiu; Lexing Xie (CIKM, 2020)

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. - Quyu Kong; Marian-Andrei Rizoiu; Lexing Xie (WSDM, 2020)

Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes. - Quyu Kong; Marian-Andrei Rizoiu; Lexing Xie (CoRR, 2020)

A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling. - Quyu Kong; Rohit Ram; Marian-Andrei Rizoiu (CoRR, 2020)

Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes. - Quyu Kong; Rohit Ram; Marian-Andrei Rizoiu (WSDM, 2021)

Birdspotter: A Tool for Analyzing and Labeling Twitter Users. - Rohit Ram; Quyu Kong; Marian-Andrei Rizoiu (WSDM, 2021)

Contact Tracing: Computational Bounds, Limitations and Implications. - Quyu Kong; Manuel García-Herranz; Iván Dotú; Manuel Cebrián (CoRR, 2021)

Nonlinear Hawkes Processes in Time-Varying System. - Feng Zhou 011; Quyu Kong; Yixuan Zhang 006; Cheng Feng 004; Jun Zhu 001 (CoRR, 2021)

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 (ICWSM, 2022)

Efficient Inference for Dynamic Flexible Interactions of Neural Populations. - Feng Zhou 011; Quyu Kong; Zhijie Deng; Jichao Kan; Yixuan Zhang 006; Cheng Feng 004; Jun Zhu 001 (J. Mach. Learn. Res., 2022)

Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. - Yixuan Zhang 006; Quyu Kong; Feng Zhou 011 (NeurIPS, 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 (WWW, 2023)

Heterogeneous multi-task Gaussian Cox processes. - Feng Zhou 011; Quyu Kong; Zhijie Deng; Fengxiang He; Peng Cui 007; Jun Zhu 001 (Mach. Learn., 2023)

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 020 (IROS, 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 002; Bing Deng; Ken Chen 005; Rong Xiong; Yue Wang 020; et al. (IEEE Robotics Autom. Lett., 2024)

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 020 (CVPR, 2025)

Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches. - Feng Zhou 011; Quyu Kong; Yixuan Zhang 006 (CoRR, 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, 2025)

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding. - Yue Jiang; Jichu Li; Yang Liu 246; Dingkang Yang; Feng Zhou; Quyu Kong (CoRR, 2025)

TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding. - Shukai Gong; Yiyang Fu; Fengyuan Ran; Quyu Kong; Feng Zhou (CoRR, 2025)

Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling. - Yixuan Zhang; Wenxin Zhang; Hua Jiang; Quyu Kong; Feng Zhou (CoRR, 2025)