Giang Nguyen

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 42

Top Topics

Top Venues

ESEC/SIGSOFT FSE

Publications

Giang Nguyen, Mohammad Reza Taesiri, Sunnie S. Y. Kim, Anh Nguyen
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy. CoRR (2024)
Michael Fleming, Giang Nguyen, Francisco Ruela
Tick Size, Competition for Liquidity Provision, and Price Discovery: Evidence from the U.S. Treasury Market. Manag. Sci. 70 (1) (2024)
Kimberly J. Cornaggia, John Hund, Giang Nguyen
The Price of Safety: The Evolution of Municipal Bond Insurance Value. Manag. Sci. 70 (4) (2024)
Tuan Nguyen, Hoang Ngo, Trung Pham, Nam-Thang Hoang, Van Tong, Hai Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong X. Tran
Multi Service-Oriented Routing Mechanism for Heterogeneous Multi-Domain Software-Defined Networking. GLOBECOM (2023)
Oleksandr Lytvyn, Giang Nguyen
Secure Multi-Party Computation for Magnetic Resonance Imaging Classification. ANT/EDI40 (2023)
Giang Nguyen, Sumon Biswas, Hridesh Rajan
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. CoRR (2023)
Mirwais Ahmadzai, Giang Nguyen
Data Partitioning Effects in Federated Learning. SQAMIA (2023)
Giang Nguyen, Shogo Ishikawa, Mia Kobayashi, Mio Ito
Evaluating Observation Skill in Nursing Education through Gaze-based Objective Assessment in Immersive Simulation. ISMAR-Adjunct (2023)
Son Duong, Tuan Nguyen, Nam-Thang Hoang, Van Tong, Hai Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong X. Tran
Server and Route Selection Optimization for Knowledge-Defined Distributed Network Based on Gambling Theory and LSTM Neural Networks. GLOBECOM (2023)
Giang Nguyen, Sumon Biswas, Hridesh Rajan
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. ESEC/SIGSOFT FSE (2023)
Mirwais Ahmadzai, Giang Nguyen
Federated Learning with Differential Privacy on Personal Opinions: A Privacy-Preserving Approach. KES (2023)
Oleksandr Lytvyn, Giang Nguyen
Efficiency and Security Trade-offs of Secure Multi-Party Computation for Machine Learning. KES (2023)
Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg
IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Linh Trinh, Phuong Pham, Hoang Trinh, Nguyen Bach, Dung Nguyen, Giang Nguyen, Huy Nguyen
PP4AV: A benchmarking Dataset for Privacy-preserving Autonomous Driving. WACV (2023)
Giang Nguyen, Valerie Chen, Anh Nguyen
AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations. CoRR (2023)
Son Nguyen, Mikel Lainsa, Hung Dao, Daeyoung Kim, Giang Nguyen
Instance Segmentation under Occlusions via Location-aware Copy-Paste Data Augmentation. CoRR (2023)
Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen
A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices. ACIIDS (2) (2023)
Ross McVinish, Yoni Nazarathy, Giang Nguyen
Modern trends in applied probability closing a special issue of overview papers. Queueing Syst. Theory Appl. 100 (1-2) (2022)
Giang Nguyen
Overcoming Catastrophic Forgetting by XAI. CoRR (2022)
Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan
Manas: Mining Software Repositories to Assist AutoML. ICSE (2022)
Hassan Jameel Asghar, Benjamin Zi Hao Zhao, Muhammad Ikram, Giang Nguyen, Dali Kaafar, Sean Lamont, Daniel Coscia
SoK: Use of Cryptography in Malware Obfuscation. IACR Cryptol. ePrint Arch. 2022 (2022)
Thang Dinh, An Nguyen, Uyen Nguyen, Giang Nguyen
Quantum Social Computing Approaches for Influence Maximization. GLOBECOM (2022)
Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg
IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners. CoRR (2021)
John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5 (6) (2021)
Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan
Manas: Mining Software Repositories to Assist AutoML. CoRR (2021)
Giang Nguyen, Daeyoung Kim, Anh Nguyen
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores. CoRR (2021)
Sonxay Luangoudom, Duc Tran, Tuyen Nguyen, Hai Anh Tran, Giang Nguyen, Quoc Trung Ha
svBLOCK: mitigating black hole attack in low-power and lossy networks. Int. J. Sens. Networks 32 (2) (2020)
Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization. CoRR (2020)
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
Repairing Deep Neural Networks: Fix Patterns and Challenges. CoRR (2020)
Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim
Explaining How Deep Neural Networks Forget by Deep Visualization. ICPR Workshops (3) (2020)
Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim
Explaining How Deep Neural Networks Forget by Deep Visualization. CoRR (2020)
Ross McVinish, Yoni Nazarathy, Giang Nguyen
Modern trends in applied probability: part 1. Queueing Syst. Theory Appl. 96 (1-2) (2020)
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
Repairing deep neural networks: fix patterns and challenges. ICSE (2020)
Linh Nguyen, Giang Nguyen, Bac Le
Fast algorithms for mining maximal erasable patterns. Expert Syst. Appl. 124 (2019)
Giang Nguyen, Tae Joon Jun, Trung Tran, Daeyoung Kim
ContCap: A comprehensive framework for continual image captioning. CoRR (2019)
Hyunseob Kim, Tae Joon Jun, Giang Nguyen, Daeyoung Kim
Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data. ICONIP (1) (2019)
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
A comprehensive study on deep learning bug characteristics. ESEC/SIGSOFT FSE (2019)
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
A Comprehensive Study on Deep Learning Bug Characteristics. CoRR (2019)
Bay Vo, Tuong Le, Giang Nguyen, Tzung-Pei Hong
Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets. IEEE Access 5 (2017)
Bay Vo, Tuong Le, Witold Pedrycz, Giang Nguyen, Sung Wook Baik
Mining erasable itemsets with subset and superset itemset constraints. Expert Syst. Appl. 69 (2017)
Sylvain Maire, Giang Nguyen
Stochastic finite differences for elliptic diffusion equations in stratified domains. Math. Comput. Simul. 121 (2016)
Van Tong, Giang Nguyen
A method for detecting DGA botnet based on semantic and cluster analysis. SoICT (2016)
Giang Nguyen, Tuong Le, Bay Vo, Hoai Bac Le
EIFDD: An efficient approach for erasable itemset mining of very dense datasets. Appl. Intell. 43 (1) (2015)
Giang Nguyen, Tuong Le, Bay Vo, Bac Le
Discovering Erasable Closed Patterns. ACIIDS (1) (2015)
Giang Nguyen, Tuong Le, Bay Vo, Hoai Bac Le, Phi-Cuong Trinh
Subsume Concept in Erasable Itemset Mining. ICCCI (2014)
Eduardo Lidanski, Giang Nguyen
Multiple-Tree Push-based Overlay Streaming. CoRR (2014)
Tuong Le, Bay Vo, Giang Nguyen
A survey of erasable itemset mining algorithms. WIREs Data Mining Knowl. Discov. 4 (5) (2014)
Giang Nguyen, Tuong Le, Bay Vo, Bac Le
A New Approach for Mining Top-Rank-k Erasable Itemsets. ACIIDS (1) (2014)
David Chu, Kaisen Lin, Alexandre Linares, Giang Nguyen, Joseph M. Hellerstein
Sdlib: a sensor network data and communications library for rapid and robust application development. IPSN (2006)
Hoi-Sheung Wilson So, Giang Nguyen, Jean C. Walrand
Practical synchronization techniques for multi-channel MAC. MobiCom (2006)
Imed Moussa, Thierry Grellier, Giang Nguyen
Exploring SW Performance Using SoC Transaction-Level Modeling. DATE (2003)