Van-Tinh Nguyen

15 papers B 1C 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large.
CoRR
Van-Tinh Nguyen, Hoang-Duong Pham, Thanh-Hai To, Cong-Tuan Hung Do, Thi-Thu-Trang Dong, Vu-Trung Duong Le, Van-Phuc Hoang
2023 J jnl
A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network.
Int. J. Circuit Theory Appl.
Quang-Manh Duong, Quang-Kien Trinh, Van-Tinh Nguyen, Dinh-Ha Dao, Luong Duy Manh, Van-Phuc Hoang, Longyang Lin, Chacko John Deepu
2023 — conf
An Adaptive Fault Tolerant Control for a Wheeled Mobile Robot under Actuator Fault and Dead Zone
ICSSE
Hai-Yen Pham, Van-Tinh Nguyen, Thanh-Tung Bui
2023 J jnl
NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro.
Neurocomputing
Van-Ngoc Dinh, Ngoc-My Bui, Van-Tinh Nguyen, Deepu John, Longyang Lin, Quang-Kien Trinh
2022 — conf
FBW-SNN: A Fully Binarized Weights-Spiking Neural Networks for Edge-AI Applications.
ICICDT
Van-Ngoc Dinh, Ngoc-My Bui, Van-Tinh Nguyen, Quang-Manh Duong, Quang-Kien Trinh
2021 — conf
An Accurate and Compact Hyperbolic Tangent and Sigmoid Computation Based Stochastic Logic.
MWSCAS
Van-Tinh Nguyen, Tieu-Khanh Luong, Emanuel M. Popovici, Quang-Kien Trinh, Renyuan Zhang, Yasuhiko Nakashima
2021 J jnl
Development of an integrated modeling flatform for watershed simulation.
Environ. Model. Softw.
Van-Tinh Nguyen, Hong Ha Nguyen, Gidon Han
2021 J jnl
STT-BSNN: An In-Memory Deep Binary Spiking Neural Network Based on STT-MRAM.
IEEE Access
Van-Tinh Nguyen, Quang-Kien Trinh, Renyuan Zhang, Yasuhiko Nakashima
2020 C conf
A Compact and Accuracy-Reconfigurable Univariate RBF Kernel Based on Stochastic Logic.
ISCAS
Van-Tinh Nguyen, Tieu-Khanh Luong, Renyuan Zhang, Yasuhiko Nakashima
2019 — conf
Efficient Architectures and Implementation of Arithmetic Functions Approximation Based Stochastic Computing.
ASAP
Tieu-Khanh Luong, Van-Tinh Nguyen, Anh-Thai Nguyen, Emanuel M. Popovici
2018 — conf
An Efficient Hardware Implementation of Activation Functions Using Stochastic Computing for Deep Neural Networks.
MCSoC
Van-Tinh Nguyen, Tieu-Khanh Luong, Han Le Duc, Van-Phuc Hoang
2017 — conf
A low power AES-GCM authenticated encryption core in 65nm SOTB CMOS process.
MWSCAS
Van-Phuc Hoang, Van-Tinh Nguyen, Anh-Thai Nguyen, Cong-Kha Pham
2017 — conf
A new approach of stochastic computing for arithmetic functions in wideband RF transceivers.
MWSCAS
Van-Tinh Nguyen, Van-Phuc Hoang, Van-Thuan Sai, Tieu-Khanh Luong, Minh-Tu Nguyen, Han Le Duc
2017 J jnl
On a Riesz-Feller space fractional backward diffusion problem with a nonlinear source.
J. Comput. Appl. Math.
Nguyen Huy Tuan, Dinh Nguyen Duy Hai, Le Dinh Long, Van-Tinh Nguyen, Mokhtar Kirane
2014 B conf
PeCAn: Compositional Verification of Petri Nets Made Easy.
ATVA
Dinh-Thuan Le, Huu-Vu Nguyen, Van-Tinh Nguyen, Phuong-Nam Mai, Bao-Trung Pham-Duy, Thanh-Tho Quan, Étienne André, Laure Petrucci, Yang Liu