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Selected Publications and Preprints

Year Publication
2022 Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay IEEE ICASSP 2022 with Andrzej Banburski-Fahey
2022 Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds [pdf] To Appear in RESEARCH with Mengjia Xu, Tomer Galanti, Marius Lindegaard and Tomaso Poggio
2022 For Interpolating Kernel Machines, Minimizing the Norm of the ERM Solution Maximizes Stability [pdf] To Appear in Analysis and Applications with Lorenzo Rosasco and Tomaso Poggio
2021 A Scale Invariant Flatness Measure for Deep Network Minima IEEE ICASSP 2021 with Nam H. Nguyen, Abhishek Kumar, Dzung Phan, Sang H. Chin, Trac D. Tran
2019 Target Tracking and Classification Using Compressive Sensing Camera for SWIR Videos Signal Image and Video Processing with Chiman Kwan, Bryan Chou, Jonathan Yang, Trac Tran, Jack Zhang, Ralph Etienne-Cummings
2018 Reconstruction-free Deep Convolutional Neural Networks for Partially Observed Images IEEE GlobalSIP 2018 with Arun Nair, Luoluo Liu, Sang H. Chin, Muyinatu A. Lediju Bell and Trac D. Tran
2018 ChieF : A Change Pattern based Interpretable Failure Analyzer IEEE Big Data 2018 with Dhaval Patel, Lam Nguyen, Shrey Srivastava, and Jayant Kalagnanam
2018 Sparse Coding and Autoencoders (arXiv) [pdf] IEEE ISIT 2018 with Anirbit Mukherjee, Amitabh Basu, Trac D. Tran, Sang H. Chin
2018 A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations IEEE ICASSP 2018 with Dung Tran, Trac D. Tran, Sang H. Chin
2016 Predicting Local Field Potentials with Recurrent Neural Networks IEEE EMBC 2016 with Louis Kim, Jacob Harer, Sang H. Chin, et. al.
2015 Targeted Dot Product Representation for Friend Recommendation in Online Social Networks IEEE/ACM ASONAM 2015 with Minh Dao, Nam P. Nguyen, Trac D. Tran, Sang H. Chin