Migration of a Dual Granularity Globally Interconnected PLD Architecture to a 0.5 µm TLM Process. - John Turner; Richard Cliff; W. Leong; Cameron McClintock; Ninh Ngo; Khai Nguyen; Chiakang Sung; Bonnie Wang; J. Watson (FPL, 1995)

A silicon efficient FLEX 6000 programmable logic architecture. - Chiakang Sung; Richard Cliff; Joseph Huang; Bonnie Wang; Khai Nguyen; Xtaobao Wang; Kerry Veenstra; Bruce Pedersen; John Turner (CICC, 1998)

A 90 nm FPGA I/O buffer design with 1.6 Gbps data rate for source-synchronous system and 300 MHz clock rate for external memory interface. - Jeffrey Tyhach; Bonnie Wang; Chiakang Sung; Joseph Huang; Khai Nguyen; Xiaobao Wang; Yan Chong; Philip Pan; Henry Kim; Gopinath Rangan; Tzung-Chin Chang; Johnson Tan (CICC, 2004)

A 90-nm FPGA I/O buffer design with 1.6-Gb/s data rate for source-synchronous system and 300-MHz clock rate for external memory interface. - Jeffrey Tyhach; Bonnie Wang; Chiakang Sung; Joseph Huang; Khai Nguyen; Xiaobao Wang; Yan Chong; Philip Pan; Henry Kim; Gopinath Rangan; Tzung-Chin Chang; Johnson Tan (IEEE J. Solid State Circuits, 2005)

Interlinking Linked Data Sources Using a Domain-Independent System. - Khai Nguyen; Ryutaro Ichise; Bac Le (JIST, 2012)

SLINT: a schema-independent linked data interlinking system. - Khai Nguyen; Ryutaro Ichise; Bac Le (OM, 2012)

TSGVi: a graph-based summarization system for Vietnamese documents. - Tu-Anh Nguyen-Hoang; Khai Nguyen; Quang-Vinh Tran (J. Ambient Intell. Humaniz. Comput., 2012)

SLINT+ results for OAEI 2013 instance matching. - Khai Nguyen; Ryutaro Ichise (OM, 2013)

Heuristic-Based Configuration Learning for Linked Data Instance Matching. - Khai Nguyen; Ryutaro Ichise (JIST, 2015)

ScSLINT: Time and Memory Efficient Interlinking Framework for Linked Data. - Khai Nguyen; Ryutaro Ichise (ISWC (Posters & Demos), 2015)

A Heuristic Approach for Configuration Learning of Supervised Instance Matching. - Khai Nguyen; Ryutaro Ichise (ISWC (Posters & Demos), 2015)

An effective configuration learning algorithm for entity resolution. - Khai Nguyen; Ryutaro Ichise (OM, 2015)

Type Prediction for Entities in DBpedia by Aggregating Multilingual Resources. - Thi-Nhu Nguyen; Hideaki Takeda 001; Khai Nguyen; Ryutaro Ichise; Tuan-Dung Cao (ISWC (Posters & Demos), 2016)

Ranking Feature for Classifier-based Instance Matching. - Khai Nguyen; Ryutaro Ichise (ISWC (Posters & Demos), 2016)

Linked Data Entity Resolution System Enhanced by Configuration Learning Algorithm. - Khai Nguyen; Ryutaro Ichise (IEICE Trans. Inf. Syst., 2016)

Enhancing Coreference Classifiers Using a Ranking-Aware Feature. - Khai Nguyen; Ryutaro Ichise (ICSC, 2017)

Automatic Schema-Independent Linked Data Instance Matching System. - Khai Nguyen; Ryutaro Ichise (Int. J. Semantic Web Inf. Syst., 2017)

ScLink: supervised instance matching system for heterogeneous repositories. - Khai Nguyen; Ryutaro Ichise (J. Intell. Inf. Syst., 2017)

A Novel Method to Predict Type for DBpedia Entity. - Thi-Nhu Nguyen; Hideaki Takeda 001; Khai Nguyen; Ryutaro Ichise; Tuan-Dung Cao (ACIIDS (Extended Posters), 2018)

Learning Effective Distributed Representation of Complex Biomedical Concepts. - Khai Nguyen; Ryutaro Ichise (BIBE, 2018)

Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation. - Khai Nguyen; Kaisei Reio; Ryutaro Ichise (HEALTHINF, 2018)

EmbNum: Semantic Labeling for Numerical Values with Deep Metric Learning. - Phuc Nguyen 001; Khai Nguyen; Ryutaro Ichise; Hideaki Takeda 001 (JIST, 2018)

Modelling Degradation of Matched-Circuits in Operational Conditions: Active and Stand-by Modes. - Khai Nguyen; Geoff Liang (IRPS, 2019)

EmbNum+: Effective, Efficient, and Robust Semantic Labeling for Numerical Values. - Phuc Nguyen 001; Khai Nguyen; Ryutaro Ichise; Hideaki Takeda 001 (New Gener. Comput., 2019)

Backside Die-Edge and Underfill Fillet Cracks Induced by Additional Tensile Stress from Increasing Die-to-Package Ratio in Bare-Die FCBGA. - Khai Nguyen; Ernie Opiniano; Randolph Mah (IRPS, 2020)

Distributional Sliced-Wasserstein and Applications to Generative Modeling. - Khai Nguyen; Nhat Ho; Tung Pham 001; Hung Bui 001 (ICLR, 2021)

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. - Khai Nguyen; Son Nguyen; Nhat Ho; Tung Pham 001; Hung Bui 001 (ICLR, 2021)

Structured Dropout Variational Inference for Bayesian Neural Networks. - Son Nguyen; Duong Nguyen; Khai Nguyen; Khoat Than; Hung Bui; Nhat Ho (NeurIPS, 2021)

BoMb-OT: On Batch of Mini-batches Optimal Transport. - Khai Nguyen; Quoc Nguyen; Nhat Ho; Tung Pham 001; Hung Bui 001; Dinh Phung 001; Trung Le 001 (CoRR, 2021)

Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. - Son Nguyen; Duong Nguyen; Khai Nguyen; Nhat Ho; Khoat Than; Hung Bui (CoRR, 2021)

An Efficient Mini-batch Method via Partial Transportation. - Khai Nguyen; Dang Nguyen 002; Tung Pham 001; Nhat Ho (CoRR, 2021)

Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. - Dang Nguyen 002; Khai Nguyen; Dinh Phung 001; Hung Bui 001; Nhat Ho (CoRR, 2021)

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. - Khang Le; Huy Nguyen; Khai Nguyen; Tung Pham 001; Nhat Ho (AISTATS, 2022)

On Transportation of Mini-batches: A Hierarchical Approach. - Khai Nguyen; Dang Nguyen 002; Quoc Dinh Nguyen; Tung Pham 001; Hung Bui 001; Dinh Phung 001; Trung Le 001; Nhat Ho (ICML, 2022)

Improving Mini-batch Optimal Transport via Partial Transportation. - Khai Nguyen; Dang Nguyen 002; The-Anh Vu-Le; Tung Pham 001; Nhat Ho (ICML, 2022)

FourierFormer: Transformer Meets Generalized Fourier Integral Theorem. - Tan Nguyen; Minh Pham 003; Tam Nguyen; Khai Nguyen; Stanley J. Osher; Nhat Ho (NeurIPS, 2022)

Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution. - Khai Nguyen; Nhat Ho (NeurIPS, 2022)

Amortized Projection Optimization for Sliced Wasserstein Generative Models. - Khai Nguyen; Nhat Ho (NeurIPS, 2022)

Improving Transformer with an Admixture of Attention Heads. - Tan Nguyen; Tam Nguyen; Hai Do; Khai Nguyen; Vishwanath Saragadam; Minh Pham 003; Duy Khuong Nguyen; Nhat Ho; Stanley J. Osher (NeurIPS, 2022)

Transformer with Fourier Integral Attentions. - Tan M. Nguyen; Minh Pham 003; Tam Nguyen; Khai Nguyen; Stanley J. Osher; Nhat Ho (CoRR, 2022)

Robustify Transformers with Robust Kernel Density Estimation. - Xing Han; Tongzheng Ren; Tan Minh Nguyen; Khai Nguyen; Joydeep Ghosh; Nhat Ho (CoRR, 2022)

On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. - Dang Nguyen 002; Trang Nguyen; Khai Nguyen; Dinh Q. Phung; Hung Hai Bui; Nhat Ho (ICASSP, 2023)

Hierarchical Sliced Wasserstein Distance. - Khai Nguyen; Tongzheng Ren; Huy Nguyen; Litu Rout; Tan Nguyen; Nhat Ho (ICLR, 2023)

Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction. - Khai Nguyen; Dang Nguyen; Nhat Ho (ICML, 2023)

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models. - Dat Do; Huy Nguyen; Khai Nguyen; Nhat Ho (NeurIPS, 2023)

Designing Robust Transformers using Robust Kernel Density Estimation. - Xing Han; Tongzheng Ren; Tan Nguyen; Khai Nguyen; Joydeep Ghosh; Nhat Ho (NeurIPS, 2023)

Energy-Based Sliced Wasserstein Distance. - Khai Nguyen; Nhat Ho (NeurIPS, 2023)

Markovian Sliced Wasserstein Distances: Beyond Independent Projections. - Khai Nguyen; Tongzheng Ren; Nhat Ho (NeurIPS, 2023)

Control Variate Sliced Wasserstein Estimators. - Khai Nguyen; Nhat Ho (CoRR, 2023)

Diffeomorphic Deformation via Sliced Wasserstein Distance Optimization for Cortical Surface Reconstruction. - Tung Le; Khai Nguyen; Shanlin Sun; Kun Han; Nhat Ho; Xiaohui Xie (CoRR, 2023)

On Parameter Estimation in Deviated Gaussian Mixture of Experts. - Huy Nguyen; Khai Nguyen; Nhat Ho (AISTATS, 2024)

Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. - Huy Nguyen; TrungTin Nguyen; Khai Nguyen; Nhat Ho (AISTATS, 2024)

Integrating Efficient Optimal Transport and Functional Maps for Unsupervised Shape Correspondence Learning. - Tung Le; Khai Nguyen; Shanlin Sun; Nhat Ho; Xiaohui Xie (CVPR, 2024)

Fast Approximation of the Generalized Sliced-Wasserstein Distance. - Dung Le; Huy Nguyen; Khai Nguyen; Trang Nguyen; Nhat Ho (ICASSP, 2024)

Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction. - Thanh-Tung Le; Khai Nguyen; Shanlin Sun; Kun Han; Nhat Ho; Xiaohui Xie (ICLR, 2024)

Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. - Manh Luong; Khai Nguyen; Nhat Ho; Gholamreza Haffari; Dinh Phung 001; Lizhen Qu (ICLR, 2024)

Quasi-Monte Carlo for 3D Sliced Wasserstein. - Khai Nguyen; Nicola Bariletto; Nhat Ho (ICLR, 2024)

Sliced Wasserstein Estimation with Control Variates. - Khai Nguyen; Nhat Ho (ICLR, 2024)

Sliced Wasserstein with Random-Path Projecting Directions. - Khai Nguyen; Shujian Zhang; Tam Le; Nhat Ho (ICML, 2024)

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. - Khai Nguyen; Sam Schoedel; Anoushka Alavilli; Brian Plancher; Zachary Manchester (ICRA, 2024)

Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions. - Khai Nguyen; Nhat Ho (NeurIPS, 2024)

Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC. - Sam Schoedel; Khai Nguyen; Elakhya Nedumaran; Brian Plancher; Zachary Manchester (CoRR, 2024)

Marginal Fairness Sliced Wasserstein Barycenter. - Khai Nguyen; Hai Nguyen; Nhat Ho (CoRR, 2024)

Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes. - Nicola Bariletto; Khai Nguyen; Nhat Ho (CoRR, 2024)

Towards Marginal Fairness Sliced Wasserstein Barycenter. - Khai Nguyen; Hai Nguyen; Nhat Ho (ICLR, 2025)

Model Tensor Planning. - An Thai Le 001; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters 001 (Trans. Mach. Learn. Res., 2025)

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport. - Khai Nguyen; Hai Nguyen; Tuan Pham; Nhat Ho (CoRR, 2025)

Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning. - Manh Luong; Khai Nguyen; Dinh Q. Phung; Gholamreza Haffari; Lizhen Qu (CoRR, 2025)

CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing. - Li Wu; Walid A. Hanafy; Abel Souza; Khai Nguyen; Jan Harkes; David E. Irwin 001; Mahadev Satyanarayanan; Prashant J. Shenoy (CoRR, 2025)

Improving Routing in Sparse Mixture of Experts with Graph of Tokens. - Tam Minh Nguyen; Ngoc N. Tran; Khai Nguyen; Richard G. Baraniuk (CoRR, 2025)

Streaming Sliced Optimal Transport. - Khai Nguyen (CoRR, 2025)

TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion. - Khang Nguyen 003; Khai Nguyen; An T. Le 001; Jan Peters 001; Manfred Huber; Ngo Anh Vien; Minh Nhat Vu (CoRR, 2025)

Secrecy Offloading Analysis of UAV-assisted NOMA-MEC Incorporating WPT in IoT Networks. - Gia-Huy Nguyen; Anh-Nhat Nguyen; Minh-Sang Nguyen; Khai Nguyen; Tung-Son Ngo; Ngoc-Anh Bui; Phuong-Chi Le; Manh-Duc Hoang (CoRR, 2025)

Secure Computation Offloading Analysis for WPT-enabled UAV-assisted MEC Incorporating NOMA with Friendly Jammer in IoT Networks. - Gia-Huy Nguyen; Anh-Nhat Nguyen; Khai Nguyen; Minh-Sang Nguyen; Tung-Son Ngo; Ngoc-Anh Bui; Phuong-Chi Le; Manh-Duc Hoang; Tien-Dat Trinh; Tuan-Anh Hoang (Telecommun. Syst., 2025)