Multivariate dynamical systems models for estimating causal interactions in fMRI. - Srikanth Ryali; Kaustubh Supekar; Tianwen Chen; Vinod Menon (NeuroImage, 2011)

Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty. - Srikanth Ryali; Tianwen Chen; Kaustubh Supekar; Vinod Menon (NeuroImage, 2012)

Estimation of resting-state functional connectivity using random subspace based partial correlation: A novel method for reducing global artifacts. - Tianwen Chen; Srikanth Ryali; Shaozheng Qin; Vinod Menon (NeuroImage, 2013)

A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI. - Srikanth Ryali; Tianwen Chen; Kaustubh Supekar; Vinod Menon (NeuroImage, 2013)

Heterogeneous and nonlinear development of human posterior parietal cortex function. - Ting-Ting Chang; Arron W. S. Metcalfe; Aarthi Padmanabhan; Tianwen Chen; Vinod Menon (NeuroImage, 2016)

Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions. - Srikanth Ryali; Yen-Yu Ian Shih; Tianwen Chen; John Kochalka; Daniel L. Albaugh; Zhongnan Fang; Kaustubh Supekar; Jin Hyung Lee; Vinod Menon (NeuroImage, 2016)

Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling. - Srikanth Ryali; Kaustubh Supekar; Tianwen Chen; John Kochalka; Weidong Cai 002; Jonathan Nicholas; Aarthi Padmanabhan; Vinod Menon (PLoS Comput. Biol., 2016)

Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI. - Jalil Taghia; Srikanth Ryali; Tianwen Chen; Kaustubh Supekar; Weidong Cai 002; Vinod Menon (NeuroImage, 2017)

Session-Based Recommendation with Local Invariance. - Tianwen Chen; Raymond Chi-Wing Wong (ICDM, 2019)

FindYourFavorite: An Interactive System for Finding the User's Favorite Tuple in the Database. - Min Xie; Tianwen Chen; Raymond Chi-Wing Wong (SIGMOD Conference, 2019)

Handling Information Loss of Graph Neural Networks for Session-based Recommendation. - Tianwen Chen; Raymond Chi-Wing Wong (KDD, 2020)

An Efficient and Effective Framework for Session-based Social Recommendation. - Tianwen Chen; Raymond Chi-Wing Wong (WSDM, 2021)

Transfer of Learning in the Convolutional Neural Networks on Classifying Geometric Shapes Based on Local or Global Invariants. - Yufeng Zheng; Jun Huang; Tianwen Chen; Yang Ou; Wu Zhou (Frontiers Comput. Neurosci., 2021)

Lessons on off-policy methods from a notification component of a chatbot. - Scott Rome; Tianwen Chen; Michael Kreisel; Ding Zhou (Mach. Learn., 2021)

Improving Representation Learning for Session-based Recommendation. - Tianwen Chen; Raymond Chi-Wing Wong (IEEE Big Data, 2022)

"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. - Scott Rome; Tianwen Chen; Raphael Tang; Luwei Zhou; Ferhan Ture (SIGIR, 2024)

Pricing and coordination in a dual-channel supply chain considering internet celebrity's sales effort and personal influence. - Tianwen Chen; Ronghu Zhou; Haoliang Chen; Changqing Liu (J. Intell. Fuzzy Syst., 2024)