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Publication search results
found 55 matches
- 2024
- Logiraj Kumaralingam, Hoang B. V. Dinh, Kim-Cuong T. Nguyen, Kumaradevan Punithakumar, Thanh-Giang La, Edmond H. M. Lou, Paul W. Major, Lawrence H. Le:
DetSegDiff: A joint periodontal landmark detection and segmentation in intraoral ultrasound using edge-enhanced diffusion-based network. Comput. Biol. Medicine 182: 109174 (2024) - Phuong Mai Dinh, Jordan Heraud, Alejandro Estaña, Marc Vincendon, Paul-Gerhard Reinhard, Eric Suraud:
The real-time TDDFT code "Quantum Dissipative Dynamics" on a GPU. Comput. Phys. Commun. 295: 108947 (2024) - Tri Vu, Paul Klippel, Aidan J. Canning, Chenshuo Ma, Huijuan Zhang, Ludmila A. Kasatkina, Yuqi Tang, Jun Xia, Vladislav V. Verkhusha, Tuan Vo-Dinh, Yun Jing, Junjie Yao:
On the Importance of Low-Frequency Signals in Functional and Molecular Photoacoustic Computed Tomography. IEEE Trans. Medical Imaging 43(2): 771-783 (2024) - Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung:
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR abs/2403.12326 (2024) - Yen Sia Low, Michael L. Jackson, Rebecca J. Hyde, Robert E. Brown, Neil M. Sanghavi, Julian D. Baldwin, C. William Pike, Jananee Muralidharan, Gavin Hui, Natasha Alexander, Hadeel Hassan, Rahul V. Nene, Morgan Pike, Courtney J. Pokrzywa, Shivam Vedak, Adam Paul Yan, Dong-han Yao, Amy R. Zipursky, Christina Dinh, Philip Ballentine, Dan C. Derieg, Vladimir Polony, Rehan N. Chawdry, Jordan Davies, Brigham B. Hyde, Nigam H. Shah, Saurabh Gombar:
Answering real-world clinical questions using large language model based systems. CoRR abs/2407.00541 (2024) - 2023
- Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung:
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. 2023 (2023) - Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth:
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. ICDM (Workshops) 2023: 1084-1091 - Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung:
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. CoRR abs/2304.13229 (2023) - 2022
- Phuong Mai Dinh, Marc Vincendon, François Coppens, Eric Suraud, Paul-Gerhard Reinhard:
Quantum Dissipative Dynamics (QDD): A real-time real-space approach to far-off-equilibrium dynamics in finite electron systems. Comput. Phys. Commun. 270: 108155 (2022) - Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung:
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. AISTATS 2022: 11438-11460 - Thanh Long Vu, Dac Dang Khoa Nguyen, Sheila Sutjipto, Dinh Tung Le, Gavin Paul:
Investigation of User Performance in Virtual Reality-based Annotation-assisted Remote Robot Control. VRST 2022: 64:1-64:2 - Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth:
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. CoRR abs/2208.04609 (2022) - Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung:
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability. CoRR abs/2209.10414 (2022) - 2021
- Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung:
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. AAAI 2021: 6831-6839 - Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung:
Information-theoretic Source Code Vulnerability Highlighting. IJCNN 2021: 1-8 - Thanh Long Vu, Dinh Tung Le, Dac Dang Khoa Nguyen, Sheila Sutjipto, Gavin Paul:
Investigating the Effect of Sensor Data Visualization Variances in Virtual Reality. VRST 2021: 7:1-7:5 - George Pu, Paul Wei, Amanda Aribe, James Boultinghouse, Nhi Dinh, Fang Xu, Eric Jing Du:
Seeing Through Walls: Real-Time Digital Twin Modeling of Indoor Spaces. WSC 2021: 1-10 - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung:
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. CoRR abs/2101.10027 (2021) - 2020
- Antoine Buetti-Dinh, Malte Herold, Stephan Christel, Mohamed El Hajjami, Francesco Delogu, Olga Ilie, Sören Bellenberg, Paul Wilmes, Ansgar Poetsch, Wolfgang Sand, Mario Vera, Igor V. Pivkin, Ran Friedman, Mark Dopson:
Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations. BMC Bioinform. 21(1): 23 (2020) - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. Phung:
Improving Adversarial Robustness by Enforcing Local and Global Compactness. ECCV (27) 2020: 209-223 - Dinh Tung Le, Sheila Sutjipto, Yujun Lai, Gavin Paul:
Intuitive Virtual Reality based Control of a Real-world Mobile Manipulator. ICARCV 2020: 767-772 - Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung:
Code Pointer Network for Binary Function Scope Identification. IJCNN 2020: 1-7 - Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Code Action Network for Binary Function Scope Identification. PAKDD (1) 2020: 712-725 - Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) 2020: 164-177 - Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) 2020: 699-711 - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung:
Improving Adversarial Robustness by Enforcing Local and Global Compactness. CoRR abs/2007.05123 (2020) - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung:
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. CoRR abs/2009.09612 (2020) - He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung:
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR abs/2010.06131 (2020) - 2019
- Safiya Richardson, Thomas G. McGinn, Simon Jones, Joeseph Palmisano, Sara Kuppin Chokshi, Catherine Dinh-Le, Rebecca Grochow Mishuris, Linda Park, Paul D. Smith, Ainsley Huffman, Sundas Khan, Rachel Hess, David A. Feldstein, Devin M. Mann:
Racial Disparity in Clinical Decision Support Use for Acute Upper Respiratory Infection. AMIA 2019 - Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu:
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. ICLR (Poster) 2019
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