Tianwen Chen

According to our database, Tianwen Chen authored at least 16 papers between 2011 and 2024.

Collaborative distances:

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

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., January, 2024

2022

Improving Representation Learning for Session-based Recommendation.

Tianwen Chen, Raymond Chi-Wing Wong

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Lessons on off-policy methods from a notification component of a chatbot.

Scott Rome, Tianwen Chen, Michael Kreisel, Ding Zhou

Mach. Learn., 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

An Efficient and Effective Framework for Session-based Social Recommendation.

Tianwen Chen, Raymond Chi-Wing Wong

Proceedings of the WSDM '21, 2021

2020

Handling Information Loss of Graph Neural Networks for Session-based Recommendation.

Tianwen Chen, Raymond Chi-Wing Wong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

FindYourFavorite: An Interactive System for Finding the User's Favorite Tuple in the Database.

Min Xie, Tianwen Chen, Raymond Chi-Wing Wong

Proceedings of the 2019 International Conference on Management of Data, 2019

Session-Based Recommendation with Local Invariance.

Tianwen Chen, Raymond Chi-Wing Wong

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI.

Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon

NeuroImage, 2017

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, Jonathan Nicholas, Aarthi Padmanabhan, Vinod Menon

PLoS Comput. Biol., 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

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

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

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

2012

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

2011

Multivariate dynamical systems models for estimating causal interactions in fMRI.

Srikanth Ryali, Kaustubh Supekar, Tianwen Chen, Vinod Menon

NeuroImage, 2011