Minh Tran

95 papers A* 3A 4B 6C 5Misc 3Journal 43Unranked 30
YearRankTypeTitle / Venue / Authors
2026 — conf
An Interactive Generative AI Tool to Help Teachers Contextually Customize Scratch Projects.
SIGCSE (2)
Minh Tran, David Gonzalez-Maldonado, Diana Franklin
2026 J jnl
Generalizable IoT Traffic Representations for Cross-Network Device Identification.
CoRR
Arunan Sivanathan, David Warren, Deepak Mishra, Sushmita Ruj, Natasha Fernandes, Quan Z. Sheng, Minh Tran, Ben Luo, Daniel Coscia, Gustavo Batista, Hassan Habibi Gharakaheili
2026 — conf
Growing Together: Building a Community of Graduate Student Computer Science Education Researchers.
SIGCSE (2)
Xinying Hou, Emma R. Dodoo, Minh Tran, Jessica M. Yauney, Alex Chao, Michael Link
2026 J jnl
Real-Time and Trustworthy Classification of IoT Traffic Using Lightweight Deep Learning.
IEEE Trans. Netw. Sci. Eng.
Arunan Sivanathan, Deepak Mishra, Sushmita Ruj, Natasha Fernandes, Quan Z. Sheng, Minh Tran, Ben Luo, Daniel Coscia, Gustavo Batista, Hassan Habibi Gharakaheili
2026 J jnl
URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models.
CoRR
Vinh Nguyen, Cuong Dang, Jiahao Zhang, Hoa Tran, Minh Tran, Trinh Chau, Thai Le, Lu Cheng, Suhang Wang
2025 Misc conf
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data.
ICASSP
Minh Tran, Yutong Pang, Debjyoti Paul, Laxmi Pandey, Kevin Jiang, Jinxi Guo, Ke Li, Shun Zhang, Xuedong Zhang, Xin Lei
2025 J jnl
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data.
CoRR
Minh Tran, Yutong Pang, Debjyoti Paul, Laxmi Pandey, Kevin Jiang, Jinxi Guo, Ke Li, Shun Zhang, Xuedong Zhang, Xin Lei
2025 J jnl
A Robust BERT-Based Deep Learning Model for Automated Cancer Type Extraction from Unstructured Pathology Reports.
CoRR
Minh Tran, Jeffery C. Chan, Min Li Huang, Maya Kansara, John P. Grady, Christine E. Napier, Subotheni Thavaneswaran, Mandy L. Ballinger, David M. Thomas, Frank P. Lin
2025 J jnl
A2VIS: Amodal-Aware Approach to Video Instance Segmentation.
Image Vis. Comput.
Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le
2025 — conf
Automating Precision Oncology Literature Curation: A Decision Tree Approach Using Large Language Models.
MedInfo
Frank P. Lin, Minh Tran, Subotheni Thavaneswaran, John P. Grady, Maya Kansara, Jeffrey Chan, Mandy L. Ballinger, John Simes, David M. Thomas
2025 C conf
CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation.
INDIN
Thien Tran, Jonathan Kua, Minh Tran, Honghao Lyu, Thuong N. Hoang, Jiong Jin
2025 J jnl
CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation.
CoRR
Thien Tran, Jonathan Kua, Minh Tran, Honghao Lyu, Thuong N. Hoang, Jiong Jin
2025 J jnl
CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling.
CoRR
Trong-Thang Pham, Akash Awasthi, Saba Khan, Esteban Duran Marti, Tien-Phat Nguyen, Khoa Vo, Minh Tran, Ngoc Son Nguyen, Cuong Tran Van, Yuki Ikebe, Anh Totti Nguyen, Anh Nguyen, Zhigang Deng, Carol C. Wu, Hien Van Nguyen, Ngan Le
2025 — conf
Can GPT Help? Supporting Teachers to Brainstorm Customized Instructional Scratch Projects.
SIGCSE (1)
Minh Tran, David Gonzalez-Maldonado, Elaine Zhou, Diana Franklin
2025 J jnl
Deep Learning-Based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges.
IEEE J. Biomed. Health Informatics
Dang Nguyen, Minh Huu Nhat Le, Trung Q. Le, Chinyere Charles-Okezie, Michael J. Diaz, Cameron Sabet, Hung The Dang, Tuan Nguyen, Hoan Nguyen, Minh Tran, Nguyen-Quoc-Khanh Le, Aaron Muncey, Phat K. Huynh
2025 — conf
Development of a Digital Case-Based Knowledge Base to Support Rapid Learning in Precision Oncology.
MedInfo
Jeffery C. Chan, Minh Tran, Shuang Liang, Skye McKay, Elizabeth Kennedy, Helen Monaghan, Sandy Middleton, Benjamin Koh, Natalie Taylor, Frank P. Lin
2025 — conf
DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis.
ICCVW
Minh Tran, Johnmark Clements, Annie Prasanna, Tri Nguyen, Ngan Le
2025 J jnl
DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis.
CoRR
Minh Tran, Johnmark Clements, Annie Prasanna, Tri Nguyen, Ngan Le
2025 J jnl
Empowering robotic training with kinesthetic learning and digital twins in human-centric industrial systems.
J. Ind. Inf. Integr.
Thien Tran, Quang Nguyen, Toan Luu, Minh Tran, Jonathan Kua, Thuong Hoang, Man Dien
2025 C conf
Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles.
INDIN
Thien Tran, Quang Nguyen, Jonathan Kua, Minh Tran, Toan Luu, Thuong N. Hoang, Jiong Jin
2025 J jnl
Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles.
CoRR
Thien Tran, Quang Nguyen, Jonathan Kua, Minh Tran, Toan Luu, Thuong N. Hoang, Jiong Jin
2025 J jnl
Negative to Positive Co-learning with Aggressive Modality Dropout.
CoRR
Nicholas Magal, Minh Tran, Riku Arakawa, Suzanne Nie
2025 A conf
R2S: Real-to-Synthetic Representation Learning for Training Speech Recognition Models on Synthetic Data.
INTERSPEECH
Minh Tran, Debjyoti Paul, Yutong Pang, Laxmi Pandey, Jinxi Guo, Ke Li, Shun Zhang, Xuedong Zhang, Xin Lei
2025 J jnl
VM14K: First Vietnamese Medical Benchmark.
CoRR
Thong Nguyen, Duc Nguyen, Minh Dang, Thai Dao, Long Nguyen, Quan H. Nguyen, Dat Nguyen, Kien Tran, Minh Tran
2024 J jnl
A2VIS: Amodal-Aware Approach to Video Instance Segmentation.
CoRR
Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le
2024 J jnl
AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation.
Remote. Sens.
Taisei Hanyu, Kashu Yamazaki, Minh Tran, Roy A. McCann, Haitao Liao, Chase Rainwater, Meredith Adkins, Jackson David Cothren, Ngan Le
2024 — conf
Amodal Instance Segmentation with Diffusion Shape Prior Estimation.
ACCV (10)
Minh Tran, Khoa Vo, Tri Nguyen, Ngan Le
2024 J jnl
Amodal Instance Segmentation with Diffusion Shape Prior Estimation.
CoRR
Minh Tran, Khoa Vo, Nguyen Thanh Binh, Ngan Le
2024 J jnl
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model.
CoRR
Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le
2024 A* conf
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model.
NeurIPS
Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le
2024 — conf
Harmonizing Scratch Encore: Scaffolding K-8 Teachers in Customizing Culturally Responsive Computing Materials.
SIGCSE (1)
Minh Tran, Heather Killen, Jen Palmer, David Weintrop, Diana Franklin
2024 A* conf
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation.
ICRA
Kashu Yamazaki, Taisei Hanyu, Khoa Vo, Thang Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, Ngan Le
2024 J jnl
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling.
CoRR
Minh Tran, Adrian de Luis, Haitao Liao, Ying Huang, Roy McCann, H. Alan Mantooth, Jackson David Cothren, Ngan Le
2024 B conf
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation.
IJCNN
Minh Tran, Winston Bounsavy, Khoa Vo, Anh Nguyen, Tri Nguyen, Ngan Le
2024 J jnl
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation.
CoRR
Minh Tran, Winston Bounsavy, Khoa Vo, Anh Nguyen, Tri Nguyen, Ngan Le
2023 J jnl
3FM: Multi-modal Meta-learning for Federated Tasks.
CoRR
Minh Tran, Roochi Shah, Zejun Gong
2023 — conf
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies.
BioCAS
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
2023 J jnl
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies.
CoRR
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
2023 J jnl
Adversarial Representation Learning for Robust Privacy Preservation in Audio.
CoRR
Shayan Gharib, Minh Tran, Diep Luong, Konstantinos Drossos, Tuomas Virtanen
2023 J jnl
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation.
CoRR
Kashu Yamazaki, Taisei Hanyu, Minh Tran, Adrian Garcia, Anh Tran, Roy McCann, Haitao Liao, Chase Rainwater, Meredith Adkins, Andrew Molthan, Jackson David Cothren, Ngan Le
2023 C conf
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
MMSP
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
2023 J jnl
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
CoRR
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
2023 — conf
Exploring the Reliability of IoT Packet Classifiers: An Experimental Study.
GLOBECOM (Workshops)
Aleksandar Pasquini, Rajesh Vasa, Hassan Habibi Gharakheili, Irini Logothetis, Minh Tran, Alexander Chambers
2023 — conf
Extended depth of field imaging for mosaic hyperspectral images.
Digital and Computational Pathology
Armand Rathgeb, Ling Ma, Minh Tran, Baowei Fei
2023 C conf
External Token-Based Authorization of Data-Driven Integrations and Service Compositions in MQTT 5.
IECON
David Hästbacka, Minh Tran, Petri Kannisto, Mikael Filppula, Pál Varga
2023 J jnl
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation.
CoRR
Kashu Yamazaki, Taisei Hanyu, Khoa Vo, Thang Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, Ngan Le
2023 J jnl
Optimizing Automated Trading Systems with Deep Reinforcement Learning.
Algorithms
Minh Tran, Duc Pham-Hi, Marc Bui
2023 — conf
Prompt Engineering for Large Language Models to Support K-8 Computer Science Teachers in Creating Culturally Responsive Projects.
ICER (2)
Minh Tran
2023 — conf
Representation Learning for Audio Privacy Preservation Using Source Separation and Robust Adversarial Learning.
WASPAA
Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen
2023 J jnl
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning.
CoRR
Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen
2023 J jnl
SolarFormer: Multi-scale Transformer for Solar PV Profiling.
CoRR
Adrian de Luis, Minh Tran, Taisei Hanyu, Anh Tran, Haitao Liao, Roy McCann, H. Alan Mantooth, Ying Huang, Ngan Le
2022 J jnl
Are You Really Looking at Me? A Feature-Extraction Framework for Estimating Interpersonal Eye Gaze From Conventional Video.
IEEE Trans. Affect. Comput.
Minh Tran, Taylan K. Sen, Kurtis Haut, Mohammad Rafayet Ali, Ehsan Hoque
2022 C conf
Deep Federated Learning for Autonomous Driving.
IV
Anh Nguyen, Tuong Do, Minh Tran, Binh X. Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, Quang D. Tran
2022 — conf
Examination of sampling-based path planning for indoor UAV using voxel grid-based Visual SLAM.
ICRAI
Trung-Tin Nguyen, Phuc Nguyen, Chuong Nguyen, Minh Tran
2022 J jnl
Meta Learning for Few-Shot Medical Text Classification.
CoRR
Pankaj Sharma, Imran Qureshi, Minh Tran
2022 — conf
Neural Network Predictive Control of Explorer Class Autonomous Underwater Vehicle.
ANZCC
Chuong Nguyen, Minh Tran, Neetha Saji, Hung D. Nguyen
2022 A* conf
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence.
MobiCom
Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young D. Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu
2022 — conf
Parameter Optimization for Trading Algorithms of Technical Agents.
RIVF
Minh Tran, Duc Pham-Hi, Marc Bui
2022 — conf
SS-3DCAPSNET: Self-Supervised 3d Capsule Networks for Medical Segmentation on Less Labeled Data.
ISBI
Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le
2022 J jnl
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data.
CoRR
Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le
2022 J jnl
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application.
CoRR
Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch
2022 J jnl
Speed Control Applying Hysteresis Current Combining Sine Pulse Width Modulation for Induction Motor Drive.
J. Adv. Eng. Comput.
Minh Tran, Cuong Dinh Tran, Bach Hoang Dinh, Tai Thanh Phan, Trang Huynh-Cong Nguyen, Huy Truong Nguyen, Giang Thi-Tuyet Lai, Huy Xuan Phan
2022 — conf
Unsupervised super resolution network for hyperspectral histologic imaging.
Digital and Computational Pathology
Ling Ma, Armand Rathgeb, Minh Tran, Baowei Fei
2021 — conf
A robust framework for mathematical formula detection.
MAPR
Minh Tran, Tri Pham, Tien Nguyen, Tien Do, Thanh Duc Ngo
2021 — ch.
Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.
Artificial Neural Networks, 3rd Edition
Xiao Tan, Andrew Su, Hamideh Hajiabadi, Minh Tran, Quan Nguyen
2021 J jnl
Deep Federated Learning for Autonomous Driving.
CoRR
Anh Nguyen, Tuong Do, Minh Tran, Binh X. Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, Quang D. Tran
2021 — conf
Integrated Coherent Tunable Laser (ICTL) with 118 nm Tuning Range and sub-100 Hz Lorentzian Linewidth.
OFC
Paul A. Morton, Chao Xiang, Jacob B. Khurgin, Christopher Morton, Minh Tran, Jonathan Peters, Joel Guo, Michael Morton, John E. Bowers
2021 — conf
Multiple Meta-model Quantifying for Medical Visual Question Answering.
MICCAI (5)
Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen
2021 J jnl
Multiple Meta-model Quantifying for Medical Visual Question Answering.
CoRR
Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen
2020 A conf
A Framework for Political Portmanteau Decomposition.
ICWSM
Nabil Hossain, Minh Tran, Henry A. Kautz
2020 — conf
Bayesian Calibration of Hyperparameters in Agent-Based Stock Market.
RIVF
Minh Tran, Man Ngo, Duc Pham-Hi, Marc Bui
2020 — conf
How biased are American media outlets? A framework for presentation bias regression.
IEEE BigData
Minh Tran
2020 — conf
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases.
EMBC
Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan
2020 J jnl
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases.
CoRR
Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan
2020 J jnl
SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells.
Bioinform.
Xiao Tan, Andrew Su, Minh Tran, Quan Nguyen
2019 J jnl
Are you really looking at me? A Framework for Extracting Interpersonal Eye Gaze from Conventional Video.
CoRR
Minh Tran, Taylan K. Sen, Kurtis Haut, Mohammad Rafayet Ali, Mohammed (Ehsan) Hoque
2018 B conf
Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning.
ICPR
Viet-Duy Nguyen, Minh Tran, Jiebo Luo
2018 — conf
Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks.
MIPR
Viet-Duy Nguyen, Minh Tran, Jiebo Luo
2018 J jnl
Exploring the Efficacy of Platinum and Palladium Nanostructures for Organic Molecule Detection via Raman Spectroscopy.
Sensors
Minh Tran, Alison Whale, Sonal Padalkar
2018 B conf
Say CHEESE: Common Human Emotional Expression Set Encoder and Its Application to Analyze Deceptive Communication.
FG
Taylan K. Sen, Md. Kamrul Hasan, Minh Tran, Yiming Yang, Mohammed (Ehsan) Hoque
2018 J jnl
Utilization of Inexpensive Carbon-Based Substrates as Platforms for Sensing.
Sensors
Minh Tran, Ahmad Fallatah, Alison Whale, Sonal Padalkar
2017 — conf
AUVSIPRO - A Simulation Program for Performance Prediction of Autonomous Underwater Vehicle with Different Propulsion System Configurations.
MESAS
Minh Tran, Jonathan Binns, Shuhong Chai, Alex Forrest, Hung Nguyen
2017 — conf
Optimal control of an autonomous underwater vehicle equipped with the collective and cyclic pitch propeller.
ASCC
Minh Tran, Jonathan Binns, Shuhong Chai, Alex Forrest, Hung Nguyen
2015 — conf
Optimal Discrete Hedging in Garman-Kohlhagen Model with Liquidity Risk.
MCO (2)
Thanh Duong, Quyen Ho, An Tran, Minh Tran
2013 J jnl
Channel estimation and optimal training with the LMMSE criterion for OFDM-based two-way relay networks.
EURASIP J. Wirel. Commun. Netw.
Minh Tran, Jin Wang, Iickho Song, Yun Kim
2012 B conf
Robust Mobile Device Integration of a Fingerprint Biometric Remote Authentication Scheme.
AINA
Toan-Thinh Truong, Minh Tran, Anh Duc Duong
2012 B conf
Tracking the Trackers: Fast and Scalable Dynamic Analysis of Web Content for Privacy Violations.
ACNS
Minh Tran, Xinshu Dong, Zhenkai Liang, Xuxian Jiang
2011 A conf
AdSentry: comprehensive and flexible confinement of JavaScript-based advertisements.
ACSAC
Xinshu Dong, Minh Tran, Zhenkai Liang, Xuxian Jiang
2011 A conf
On the Expressiveness of Return-into-libc Attacks.
RAID
Minh Tran, Mark Etheridge, Tyler K. Bletsch, Xuxian Jiang, Vincent W. Freeh, Peng Ning
2007 B conf
A random perturbation-based scheme for pairwise key establishment in sensor networks.
MobiHoc
Wensheng Zhang, Minh Tran, Sencun Zhu, Guohong Cao
2007 — conf
Jigsaw Texture Synthesis.
Smart Graphics
Minh Tran, Amitava Datta
2007 — conf
Variable Neighbourhood Texture Synthesis with Patch Initialisation.
ICCSA (2)
Minh Tran, Amitava Datta
2005 J jnl
A simple model generation system for computer graphics.
Future Gener. Comput. Syst.
Minh Tran, Amitava Datta, Nick Lowe
2003 Misc conf
A Low-Cost Model Acquisition System for Computer Graphics Applications.
International Conference on Computational Science
Minh Tran, Amitava Datta, Nick Lowe
2003 Misc conf
Synthesising Textures Using Variable Neighbourhood Searching.
DICTA
Minh Tran, Amitava Datta