A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment. - Dung T. Tran; Dinh Q. Phung (ICPR (3), 2006)

Increased Connectivity at Lower Cost: The Case for Multi-Radio Nodes in Multi-Hop Wireless Networks. - Stefano Basagni; Andras Farago; Maurizio A. Nanni; Dung T. Tran (GLOBECOM, 2009)

A Self-Tuning Protocol for Optimal Bandwidth Allocation in Wireless Networks. - András Faragó; Dung T. Tran (SASO, 2010)

A routing strategy for non-cooperation wireless multi-hop ad hoc networks. - Dung T. Tran; Trang T. M. Truong (MoMM, 2011)

A routing strategy for non-cooperation wireless multi-hop ad hoc networks. - Dung T. Tran; Trang T. M. Truong; Thanh G. Le (Mob. Inf. Syst., 2012)

Investigating stranded GMM for improving automatic speech recognition. - Arseniy Gorin; Denis Jouvet; Emmanuel Vincent 001; Dung T. Tran (HSCMA, 2014)

Extension of uncertainty propagation to dynamic MFCCS for noise robust ASR. - Dung T. Tran; Emmanuel Vincent 001; Denis Jouvet (ICASSP, 2014)

Fusion of multiple uncertainty estimators and propagators for noise robust ASR. - Dung T. Tran; Emmanuel Vincent 001; Denis Jouvet (ICASSP, 2014)

A taxonomy of applying filter techniques to improve the available bandwidth estimations. - Uyen C. Nguyen; Dung T. Tran; Giang V. Nguyen (ICUIMC, 2014)

Fast DNN training based on auxiliary function technique. - Dung T. Tran; Nobutaka Ono; Emmanuel Vincent 001 (ICASSP, 2015)

Discriminative uncertainty estimation for noise robust ASR. - Dung T. Tran; Emmanuel Vincent 001; Denis Jouvet (ICASSP, 2015)

New filter techniques to improve the accuracy of available bandwidth measurement. - Dung T. Tran; Anh N. Nguyen (IMCOM, 2015)

Nonparametric Uncertainty Estimation and Propagation for Noise Robust ASR. - Dung T. Tran; Emmanuel Vincent 001; Denis Jouvet (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

A new approach to measure the utilizable bandwidth. - Dung T. Tran; Phong T. Tran; Tu T. Tran (IMCOM, 2016)

Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models. - Marc Delcroix; Keisuke Kinoshita; Atsunori Ogawa; Takuya Yoshioka; Dung T. Tran; Tomohiro Nakatani (INTERSPEECH, 2016)

Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions. - Dung T. Tran; Marc Delcroix; Atsunori Ogawa; Tomohiro Nakatani (INTERSPEECH, 2016)

Online meeting recognition in noisy environments with time-frequency mask based MVDR beamforming. - Shoko Araki; Nobutaka Ito; Marc Delcroix; Atsunori Ogawa; Keisuke Kinoshita; Takuya Higuchi; Takuya Yoshioka; Dung T. Tran; Shigeki Karita; Tomohiro Nakatani (HSCMA, 2017)

Feedback connection for deep neural network-based acoustic modeling. - Dung T. Tran; Marc Delcroix; Atsunori Ogawa; Christian Huemmer 001; Tomohiro Nakatani (ICASSP, 2017)

Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling. - Dung T. Tran; Marc Delcroix; Shigeki Karita; Michael Hentschel; Atsunori Ogawa; Tomohiro Nakatani (INTERSPEECH, 2017)

Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling. - Dung T. Tran; Marc Delcroix; Atsunori Ogawa; Tomohiro Nakatani (INTERSPEECH, 2017)

Multi Scale Feedback Connection for Noise Robust Acoustic Modeling. - Dung T. Tran; Ken-ichi Iso; Motoi Omachi; Yuya Fujita (ICASSP, 2018)

Speaker Selective Beamformer with Keyword Mask Estimation. - Yusuke Kida; Dung T. Tran; Motoi Omachi; Toru Taniguchi; Yuya Fujita (SLT, 2018)

Speech Enhancement Using End-to-End Speech Recognition Objectives. - Aswin Shanmugam Subramanian; Xiaofei Wang 007; Murali Karthick Baskar; Shinji Watanabe 001; Toru Taniguchi; Dung T. Tran; Yuya Fujita (WASPAA, 2019)

Generalized Weighted-Prediction-Error Dereverberation with Varying Source Priors For Reverberant Speech Recognition. - Toru Taniguchi; Aswin Shanmugam Subramanian; Xiaofei Wang 007; Dung T. Tran; Yuya Fujita; Shinji Watanabe 001 (WASPAA, 2019)

Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR. - Aswin Shanmugam Subramanian; Xiaofei Wang 007; Shinji Watanabe 001; Toru Taniguchi; Dung T. Tran; Yuya Fujita (CoRR, 2019)

Energy-Efficient Optimization for Mobile Edge Computing With Quantum Machine Learning. - James Adu Ansere; Dung T. Tran; Octavia A. Dobre; Hyundong Shin; George K. Karagiannidis; Trung Q. Duong (IEEE Wirel. Commun. Lett., 2024)

SEMISE: Semi-Supervised Learning for Severity Representation in Medical Image. - Dung T. Tran; Hung Vu; Anh Tran; Tuan Hoang; Hieu Pham; Hong Nguyen; Nam-Phong Nguyen (ISBI, 2025)

Semise: Semi-supervised learning for severity representation in medical image. - Dung T. Tran; Hung Vu; Anh Tran; Hieu Pham; Hong Nguyen; Phong Nguyen (CoRR, 2025)

Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions. - Vikramjit Mitra; Amrit Romana; Dung T. Tran; Erdrin Azemi (CoRR, 2025)

Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation. - Jingping Nie; Dung T. Tran; Karan Thakkar; Vasudha Kowtha; Jonathan Huang; Carlos Avendaño; Erdrin Azemi; Vikramjit Mitra (CoRR, 2025)