Dung T. Tran

36 papers A* 1A 4B 1C 1Misc 6Journal 12Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing.
CoRR
Toan D. Gian, Dung T. Tran, Viet Quoc Pham, Francesco Restuccia, Van-Dinh Nguyen
2025 J jnl
Adaptive Rainfall Forecasting from Multiple Geographical Models Using Matrix Profile and Ensemble Learning.
CoRR
Dung T. Tran, Huyen Ngoc Huyen, Hong Nguyen, Xuan-Vu Phan, Nam-Phong Nguyen
2025 J jnl
Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation.
CoRR
Jingping Nie, Dung T. Tran, Karan Thakkar, Vasudha Kowtha, Jonathan Huang, Carlos Avendaño, Erdrin Azemi, Vikramjit Mitra
2025 A* conf
Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions.
ICLR
Vikramjit Mitra, Amrit Romana, Dung T. Tran, Erdrin Azemi
2025 J jnl
Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions.
CoRR
Vikramjit Mitra, Amrit Romana, Dung T. Tran, Erdrin Azemi
2025 — conf
SEMISE: Semi-Supervised Learning for Severity Representation in Medical Image.
ISBI
Dung T. Tran, Hung Vu, Anh Tran, Tuan Hoang, Hieu Pham, Hong Nguyen, Nam-Phong Nguyen
2025 J jnl
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning.
CoRR
Dung T. Tran, Nguyen B. Ha, Van-Dinh Nguyen, Kok-Seng Wong
2025 J jnl
Semise: Semi-supervised learning for severity representation in medical image.
CoRR
Dung T. Tran, Hung Vu, Anh Tran, Hieu Pham, Hong Nguyen, Phong Nguyen
2025 J jnl
VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring.
CoRR
Cuong Nguyen, Dung T. Tran, Hong Nguyen, Xuan-Vu Phan, Nam-Phong Nguyen
2024 J jnl
Energy-Efficient Optimization for Mobile Edge Computing With Quantum Machine Learning.
IEEE Wirel. Commun. Lett.
James Adu Ansere, Dung T. Tran, Octavia A. Dobre, Hyundong Shin, George K. Karagiannidis, Trung Q. Duong
2019 J jnl
Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR.
CoRR
Aswin Shanmugam Subramanian, Xiaofei Wang, Shinji Watanabe, Toru Taniguchi, Dung T. Tran, Yuya Fujita
2019 — conf
Generalized Weighted-Prediction-Error Dereverberation with Varying Source Priors For Reverberant Speech Recognition.
WASPAA
Toru Taniguchi, Aswin Shanmugam Subramanian, Xiaofei Wang, Dung T. Tran, Yuya Fujita, Shinji Watanabe
2019 — conf
Speech Enhancement Using End-to-End Speech Recognition Objectives.
WASPAA
Aswin Shanmugam Subramanian, Xiaofei Wang, Murali Karthick Baskar, Shinji Watanabe, Toru Taniguchi, Dung T. Tran, Yuya Fujita
2018 Misc conf
Multi Scale Feedback Connection for Noise Robust Acoustic Modeling.
ICASSP
Dung T. Tran, Ken-ichi Iso, Motoi Omachi, Yuya Fujita
2018 — conf
Speaker Selective Beamformer with Keyword Mask Estimation.
SLT
Yusuke Kida, Dung T. Tran, Motoi Omachi, Toru Taniguchi, Yuya Fujita
2018 J jnl
Speaker Selective Beamformer with Keyword Mask Estimation.
CoRR
Yusuke Kida, Dung T. Tran, Motoi Omachi, Toru Taniguchi, Yuya Fujita
2017 Misc conf
Feedback connection for deep neural network-based acoustic modeling.
ICASSP
Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Christian Huemmer, Tomohiro Nakatani
2017 — conf
Online meeting recognition in noisy environments with time-frequency mask based MVDR beamforming.
HSCMA
Shoko Araki, Nobutaka Ito, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Takuya Higuchi, Takuya Yoshioka, Dung T. Tran, Shigeki Karita, Tomohiro Nakatani
2017 A conf
Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling.
INTERSPEECH
Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani
2017 A conf
Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling.
INTERSPEECH
Dung T. Tran, Marc Delcroix, Shigeki Karita, Michael Hentschel, Atsunori Ogawa, Tomohiro Nakatani
2016 — conf
A new approach to measure the utilizable bandwidth.
IMCOM
Dung T. Tran, Phong T. Tran, Tu T. Tran
2016 A conf
Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models.
INTERSPEECH
Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Takuya Yoshioka, Dung T. Tran, Tomohiro Nakatani
2016 A conf
Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions.
INTERSPEECH
Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani
2015 Misc conf
Discriminative uncertainty estimation for noise robust ASR.
ICASSP
Dung T. Tran, Emmanuel Vincent, Denis Jouvet
2015 Misc conf
Fast DNN training based on auxiliary function technique.
ICASSP
Dung T. Tran, Nobutaka Ono, Emmanuel Vincent
2015 — conf
New filter techniques to improve the accuracy of available bandwidth measurement.
IMCOM
Dung T. Tran, Anh N. Nguyen
2015 J jnl
Nonparametric Uncertainty Estimation and Propagation for Noise Robust ASR.
IEEE ACM Trans. Audio Speech Lang. Process.
Dung T. Tran, Emmanuel Vincent, Denis Jouvet
2014 — conf
A taxonomy of applying filter techniques to improve the available bandwidth estimations.
ICUIMC
Uyen C. Nguyen, Dung T. Tran, Giang V. Nguyen
2014 Misc conf
Extension of uncertainty propagation to dynamic MFCCS for noise robust ASR.
ICASSP
Dung T. Tran, Emmanuel Vincent, Denis Jouvet
2014 Misc conf
Fusion of multiple uncertainty estimators and propagators for noise robust ASR.
ICASSP
Dung T. Tran, Emmanuel Vincent, Denis Jouvet
2014 — conf
Investigating stranded GMM for improving automatic speech recognition.
HSCMA
Arseniy Gorin, Denis Jouvet, Emmanuel Vincent, Dung T. Tran
2012 J jnl
A routing strategy for non-cooperation wireless multi-hop ad hoc networks.
Mob. Inf. Syst.
Dung T. Tran, Trang T. M. Truong, Thanh G. Le
2011 C conf
A routing strategy for non-cooperation wireless multi-hop ad hoc networks.
MoMM
Dung T. Tran, Trang T. M. Truong
2010 — conf
A Self-Tuning Protocol for Optimal Bandwidth Allocation in Wireless Networks.
SASO
András Faragó, Dung T. Tran
2009 B conf
Increased Connectivity at Lower Cost: The Case for Multi-Radio Nodes in Multi-Hop Wireless Networks.
GLOBECOM
Stefano Basagni, Andras Farago, Maurizio A. Nanni, Dung T. Tran
2006 — conf
A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment.
ICPR (3)
Dung T. Tran, Dinh Q. Phung