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2020 – today
- 2024
[j11]Tianwen Chen, Ronghu Zhou, Haoliang Chen, Changqing Liu:
Pricing and coordination in a dual-channel supply chain considering internet celebrity's sales effort and personal influence. J. Intell. Fuzzy Syst. 46(1): 1753-1769 (2024)- [c6]Scott Rome
, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture:
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. SIGIR 2024: 2827-2831 - [i1]Scott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture:
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. CoRR abs/2405.00801 (2024) - 2022
- [c5]Tianwen Chen, Raymond Chi-Wing Wong:
Improving Representation Learning for Session-based Recommendation. IEEE Big Data 2022: 854-863 - 2021
- [j10]Yufeng Zheng, Jun Huang, Tianwen Chen, Yang Ou, Wu Zhou:
Transfer of Learning in the Convolutional Neural Networks on Classifying Geometric Shapes Based on Local or Global Invariants. Frontiers Comput. Neurosci. 15: 637144 (2021) - [j9]Scott Rome, Tianwen Chen, Michael Kreisel, Ding Zhou:
Lessons on off-policy methods from a notification component of a chatbot. Mach. Learn. 110(9): 2577-2602 (2021) - [c4]Tianwen Chen, Raymond Chi-Wing Wong:
An Efficient and Effective Framework for Session-based Social Recommendation. WSDM 2021: 400-408 - 2020
- [c3]Tianwen Chen, Raymond Chi-Wing Wong:
Handling Information Loss of Graph Neural Networks for Session-based Recommendation. KDD 2020: 1172-1180
2010 – 2019
- 2019
- [c2]Tianwen Chen, Raymond Chi-Wing Wong:
Session-Based Recommendation with Local Invariance. ICDM 2019: 994-999 - [c1]Min Xie, Tianwen Chen, Raymond Chi-Wing Wong:
FindYourFavorite: An Interactive System for Finding the User's Favorite Tuple in the Database. SIGMOD Conference 2019: 2017-2020 - 2017
- [j8]Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon:
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI. NeuroImage 155: 271-290 (2017) - 2016
- [j7]Ting-Ting Chang, Arron W. S. Metcalfe, Aarthi Padmanabhan, Tianwen Chen, Vinod Menon:
Heterogeneous and nonlinear development of human posterior parietal cortex function. NeuroImage 126: 184-195 (2016) - [j6]Srikanth Ryali, Yen-Yu Ian Shih, Tianwen Chen, John Kochalka, Daniel L. Albaugh, Zhongnan Fang, Kaustubh Supekar, Jin Hyung Lee, Vinod Menon:
Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions. NeuroImage 132: 398-405 (2016) - [j5]Srikanth Ryali, Kaustubh Supekar, Tianwen Chen, John Kochalka, Weidong Cai, Jonathan Nicholas, Aarthi Padmanabhan, Vinod Menon:
Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling. PLoS Comput. Biol. 12(12) (2016) - 2013
- [j4]Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Vinod Menon:
A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI. NeuroImage 65: 83-96 (2013) - [j3]Tianwen Chen, Srikanth Ryali, Shaozheng Qin, Vinod Menon:
Estimation of resting-state functional connectivity using random subspace based partial correlation: A novel method for reducing global artifacts. NeuroImage 82: 87-100 (2013) - 2012
- [j2]Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Vinod Menon:
Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty. NeuroImage 59(4): 3852-3861 (2012) - 2011
- [j1]Srikanth Ryali, Kaustubh Supekar, Tianwen Chen, Vinod Menon:
Multivariate dynamical systems models for estimating causal interactions in fMRI. NeuroImage 54(2): 807-823 (2011)
Coauthor Index
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