Khanh Nguyen - RankMe

120 papers A* 13A 2B 8C 6Misc 1Journal 57Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General and Robust 3D Finite Element Dynamics Framework for Railway Vehicle-Bridge Interaction with Nonlinear Wheel-Rail Contact Modeling. CoRR Pablo Antolin, Khanh Nguyen, José María Goicolea
2026	A*	`conf`	Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents. AAAI Long Nguyen, Duc Nguyen, Quan Bui, Dung Phan, Dung Le, Khanh Nguyen, Quynh Vo, Khang Vo, Nam Duong, Anh Dinh, Tri Trinh, Chi Phan, An Nguyen, Thai Nguyen, Dang Le, Vinh Dang, Tho Quan
2026	J	`jnl`	RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval. CoRR Khanh Nguyen, Dasith de Silva Edirimuni, Ghulam Mubashar Hassan, Ajmal Mian
2025	J	`jnl`	Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety. CoRR Vamshi Krishna Bonagiri, Ponnurangam Kumaraguru, Khanh Nguyen, Benjamin Plaut
2025	J	`jnl`	Cross-architecture knowledge distillation for speech enhancement: From CMGAN to Unet. Neurocomputing Khanh Nguyen, Huy Tien Nguyen
2025	A*	`conf`	DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. ICLR Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
2025	J	`jnl`	DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. CoRR Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
2025	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. Trans. Mach. Learn. Res. Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2025	A*	`conf`	Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition. CVPR Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian
2025	J	`jnl`	Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition. CoRR Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian
2025	J	`jnl`	Retrieving Objects from 3D Scenes with Box-Guided Open-Vocabulary Instance Segmentation. CoRR Khanh Nguyen, Dasith de Silva Edirimuni, Ghulam Mubashar Hassan, Ajmal Mian
2024	J	`jnl`	Active Sensing of Knee Osteoarthritis Progression with Reinforcement Learning. CoRR Khanh Nguyen, Huy Hoang Nguyen, Egor Panfilov, Aleksei Tiulpin
2024	J	`jnl`	CALDINTAV: A simple software for dynamic analysis of high-speed railway bridges using the semi-analytical modal method. Softw. Impacts Khanh Nguyen, José María Goicolea
2024	—	`conf`	Detecting Malicious Websites by using Deep Q-Networks. SVCC Khanh Nguyen, Younghee Park
2024	—	`conf`	Federated Document Visual Question Answering: A Pilot Study. ICDAR (6) Khanh Nguyen, Dimosthenis Karatzas
2024	J	`jnl`	Federated Document Visual Question Answering: A Pilot Study. CoRR Khanh Nguyen, Dimosthenis Karatzas
2024	J	`jnl`	Improving Electrolyte Performance for Target Cathode Loading Using Interpretable Data-Driven Approach. CoRR Vidushi Sharma, Andy Tek, Khanh Nguyen, Maxwell J. Giammona, Murtaza Zohair, Linda Sundberg, Young-Hye La
2024	J	`jnl`	Language-Guided World Models: A Model-Based Approach to AI Control. CoRR Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan
2024	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2024	—	`conf`	Privacy-Aware Document Visual Question Answering. ICDAR (6) Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2024	J	`jnl`	Softmax Probabilities (Mostly) Predict Large Language Model Correctness on Multiple-Choice Q&A. CoRR Benjamin Plaut, Khanh Nguyen, Tu Trinh
2024	A*	`conf`	Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. EMNLP Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2024	J	`jnl`	Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. CoRR Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2024	—	`conf`	The Study of Feature Engineering in Machine Learning and Deep Learning for Network Intrusion Detection Systems. SVCC Steven Ning, Khanh Nguyen, Sohini Bagchi, Younghee Park
2024	—	`conf`	VREE: A 3D Environment to Train Engineers about Post-Earthquake Damages in Building Structure. VR Workshops Shah Rukh Humayoun, Jenna Wong, Khanh Nguyen, Purva Zinjarde, Prathiba Ramesh
2023	J	`jnl`	A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities. CoRR Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023	J	`jnl`	A time multiscale based data-driven approach in cyclic elasto-plasticity. CoRR Sebastian Rodriguez, Angelo Pasquale, Khanh Nguyen, Amine Ammar, Francisco Chinesta
2023	J	`jnl`	A time multiscale decomposition in cyclic elasto-plasticity. Comput. Math. Appl. Angelo Pasquale, Sebastian Rodriguez, Khanh Nguyen, Amine Ammar, Francisco Chinesta
2023	J	`jnl`	A time multiscale decomposition in cyclic elasto-plasticity. CoRR Angelo Pasquale, Sebastian Rodriguez, Khanh Nguyen, Amine Ammar, Francisco Chinesta
2023	—	`conf`	Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models. ACL (Findings) Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023	—	`conf`	Enhancing Face Anti-Spoofing with Swin Transformer-driven Multi-stage Pipeline. SoICT Son Thai, Hop Bui, Huy Vu, Khanh Nguyen, Tin Huynh, Kiem Hoang
2023	—	`conf`	Feature-Space Reinforcement Learning for Robotic Manipulation. TransAI Ralf Gulde, Khanh Nguyen, Marc Tuscher, Oliver Riedel, Alexander Verl
2023	—	`conf`	Hallucination Detection for Grounded Instruction Generation. EMNLP (Findings) Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023	J	`jnl`	Hallucination Detection for Grounded Instruction Generation. CoRR Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023	J	`jnl`	Language Models are Pragmatic Speakers. CoRR Khanh Nguyen
2023	J	`jnl`	Multi-Contact Force-Sensing Guitar for Training and Therapy. CoRR Zhiyi Ren, Chun-Cheng Hsu, Can Kocabalkanli, Khanh Nguyen, Iulian Iordachita, Serap Bastepe-Gray, Nathan Scott
2023	J	`jnl`	Privacy-Aware Document Visual Question Answering. CoRR Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2023	J	`jnl`	Progressively Efficient Learning. CoRR Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
2023	A*	`conf`	Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia. AAAI Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas
2023	A	`conf`	Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. WACV Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen
2022	—	`conf`	AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. MICCAI (8) Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin
2022	J	`jnl`	AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. CoRR Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin
2022	—	`—`	Enriching Communication between Humans and AI Agents. Khanh Nguyen
2022	J	`jnl`	Flexible and Robust Real-Time Intrusion Detection Systems to Network Dynamics. IEEE Access Kicho Yu, Khanh Nguyen, Younghee Park
2022	J	`jnl`	Global-local attention for emotion recognition. Neural Comput. Appl. Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le
2022	J	`jnl`	Improving kernel online learning with a snapshot memory. Mach. Learn. Trung Le, Khanh Nguyen, Dinh Q. Phung
2022	J	`jnl`	Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than
2022	J	`jnl`	Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung
2022	J	`jnl`	Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia. CoRR Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas
2022	J	`jnl`	Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. CoRR Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen
2021	J	`jnl`	Global-Local Attention for Emotion Recognition. CoRR Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le
2021	A*	`conf`	Interactive Learning from Activity Description. ICML Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
2021	J	`jnl`	Interactive Learning from Activity Description. CoRR Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
2021	J	`jnl`	Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. CoRR Khanh Nguyen, Yonatan Bisk, Hal Daumé III
2021	—	`conf`	Linguistic-based Augmentation for Enhancing Vietnamese Sentiment Analysis. RIVF Cuong Nguyen Manh, Hieu Pham Minh, Hoang Do Van, Khanh Nguyen Quoc, Khanh Nguyen, Manh Tran Van, Anh Phan
2020	J	`jnl`	Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms. CoRR Khanh Nguyen, Hal Daumé III
2020	—	`conf`	Code Action Network for Binary Function Scope Identification. PAKDD (1) Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	B	`conf`	Code Pointer Network for Binary Function Scope Identification. IJCNN Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
2020	—	`conf`	Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	—	`conf`	Do Words Matter: Predicting IPO Performance from Prospectus Sentiment. ICSC Tuan Hao Ly, Khanh Nguyen
2020	—	`conf`	FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020. LSC@ICMR Minh-Triet Tran, Thanh-An Nguyen, Quoc-Cuong Tran, Mai-Khiem Tran, Khanh Nguyen, Van-Tu Ninh, Tu-Khiem Le, Hoang-Phuc Trang-Trung, Hoang-Anh Le, Hai-Dang Nguyen, Trong-Le Do, Viet-Khoa Vo-Ho, Cathal Gurrin
2020	J	`jnl`	Pre-processing Image using Brightening, CLAHE and RETINEX. CoRR Thi Phuoc Hanh Nguyen, Zinan Cai, Khanh Nguyen, Sokuntheariddh Keth, Ningyuan Shen, Mira Park
2019	B	`conf`	Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung
2019	—	`conf`	Detect Malware in Android Firmware Based on Distributed Network Environment. ICCT Nguyen Tan Cam, Toan Nguyen, Khanh Nguyen, Tuan A. Nguyen, Van-Hau Pham
2019	J	`jnl`	Global Voices: Crossing Borders in Automatic News Summarization. CoRR Khanh Nguyen, Hal Daumé III
2019	J	`jnl`	GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2019	—	`conf`	Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. EMNLP/IJCNLP (1) Khanh Nguyen, Hal Daumé III
2019	—	`conf`	Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. ViGIL@NeurIPS Khanh Nguyen, Hal Daumé III
2019	J	`jnl`	Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. CoRR Khanh Nguyen, Hal Daumé III
2019	—	`conf`	Multi-Contact Force-Sensing Guitar for Training and Therapy. IEEE SENSORS Zhiyi Ren, Chun-Cheng Hsu, Can Kocabalkanli, Khanh Nguyen, Iulian Iordachita, Serap Bastepe-Gray, Nathan Scott
2019	A*	`conf`	Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. CVPR Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
2018	B	`conf`	Bayesian Multi-Hyperplane Machine for Pattern Recognition. ICPR Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
2018	C	`conf`	Clustering Induced Kernel Learning. ACML Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
2018	A*	`conf`	Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. KDD Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb
2018	J	`jnl`	Theoretical Perspective of Deep Domain Adaptation. CoRR Trung Le, Khanh Nguyen, Dinh Q. Phung
2018	J	`jnl`	Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention. CoRR Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
2017	J	`jnl`	Analogical-based Bayesian Optimization. CoRR Trung Le, Khanh Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2017	J	`jnl`	Analytical and simplified models for dynamic analysis of sort skew ridges under moving loads. CoRR Khanh Nguyen, José María Goicolea
2017	A*	`conf`	GoGP: Fast Online Regression with Gaussian Processes. ICDM Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2017	A*	`conf`	Nonparametric Online Machine Learning with Kernels. IJCAI Khanh Nguyen
2017	A*	`conf`	Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. EMNLP Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
2017	J	`jnl`	Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. CoRR Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
2017	—	`conf`	The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. WMT Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
2017	J	`jnl`	The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. CoRR Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
2016	B	`conf`	Fast Kernel-based method for anomaly detection. IJCNN Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran
2016	J	`jnl`	Imitation Learning with Recurrent Neural Networks. CoRR Khanh Nguyen
2016	J	`jnl`	Mixture of hyperspheres for novelty detection. Vietnam. J. Comput. Sci. Duy Nguyen, Vinh Lai, Khanh Nguyen, Trung Le
2016	C	`conf`	Multiple Kernel Learning with Data Augmentation. ACML Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2016	J	`jnl`	Scalable Support Vector Machine for Semi-supervised Learning. CoRR Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung
2016	—	`conf`	Scene text detection based on structural features. IC3INA Khanh Nguyen, Ngo Duc Thanh
2016	J	`jnl`	Sensory feedback in a bump attractor model of path integration. J. Comput. Neurosci. Daniel B. Poll, Khanh Nguyen, Zachary P. Kilpatrick
2016	—	`conf`	Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung
2015	—	`conf`	A centralized algorithm for dynamic TDD frame reconfigurations in synchronized HetNets. ICC Workshops Khanh Nguyen, Luca Zappaterra, Hyeong-Ah Choi
2015	C	`conf`	Architectural support for non-expert deployment of remote laboratories. FIE Khanh Nguyen, David Lowe
2015	—	`conf`	Fast One-Class Support Vector Machine for Novelty Detection. PAKDD (2) Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh
2015	B	`conf`	Least square Support Vector Machine for large-scale dataset. IJCNN Khanh Nguyen, Trung Le, Vinh Lai, Duy Nguyen, Dat Tran, Wanli Ma
2015	A*	`conf`	Posterior calibration and exploratory analysis for natural language processing models. EMNLP Khanh Nguyen, Brendan O'Connor
2015	J	`jnl`	Posterior calibration and exploratory analysis for natural language processing models. CoRR Khanh Nguyen, Brendan O'Connor
2014	A*	`conf`	The effect of developer-specified explanations for permission requests on smartphone user behavior. CHI Joshua Tan, Khanh Nguyen, Michael Theodorides, Heidi Negrón-Arroyo, Christopher Thompson, Serge Egelman, David A. Wagner
2013	B	`conf`	Addressing the semantic gap between video sensors and applications. NOSSDAV Wu-chi Feng, Khanh Nguyen, Feng Liu, Thanh Dang
2013	B	`conf`	Fuzzy entropy semi-supervised support vector data description. IJCNN Trung Le, Dat Tran, Tien Tran, Khanh Nguyen, Wanli Ma
2013	—	`conf`	Monitoring mobility disorders at home using 3D visual sensors and mobile sensors. Wireless Health Farnoush Banaei Kashani, Gérard G. Medioni, Khanh Nguyen, Luciano Nocera, Cyrus Shahabi, Ruizhe Wang, Cesar Blanco, Yi-An Chen, Yu-Chen Chung, Beth Fisher, Sara Mulroy, Phil Requejo, Carolee J. Winstein
2012	—	`conf`	Analysis of an investment social network. ICC Alex Dusenbery, Khanh Nguyen, Duc A. Tran
2012	J	`jnl`	S-CLONE: Socially-aware data replication for social networks. Comput. Networks Duc A. Tran, Khanh Nguyen, Cuong Pham
2012	J	`jnl`	Top-K data source selection for keyword queries over multiple XML data sources. J. Inf. Sci. Khanh Nguyen, Jinli Cao
2012	J	`jnl`	Top-k answers for XML keyword queries. World Wide Web Khanh Nguyen, Jinli Cao
2011	—	`conf`	An analysis of activities in Facebook. CCNC Khanh Nguyen, Duc A. Tran
2011	J	`jnl`	Analyzing an Electronic Limit Order Book. R J. David Kane, Andrew Liu, Khanh Nguyen
2011	—	`conf`	K-Graphs: Selecting Top-k Data Sources for XML Keyword Queries. DEXA (1) Khanh Nguyen, Jinli Cao
2011	—	`conf`	Preserving Social Locality in Data Replication for Online Social Networks. ICDCS Workshops Khanh Nguyen, Cuong Pham, Duc A. Tran, Feng Zhang
2010	Misc	`conf`	Exploit keyword query semantics and structure of data for effective XML keyword search. ADC Khanh Nguyen, Jinli Cao
2010	B	`conf`	Relevant Answers for XML Keyword Search: A Skyline Approach. WISE Khanh Nguyen, Jinli Cao
2009	J	`jnl`	A 34 MB/s MLC Write Throughput 16 Gb NAND With All Bit Line Architecture on 56 nm Technology. IEEE J. Solid State Circuits Raul Cernea, Long Pham, Farookh Moogat, Siu Lung Chan, Binh Le, Yan Li, Shouchang Tsao, Taiyuan Tseng, Khanh Nguyen, Jason Li, Jayson Hu, Jonghak Yuh, Cynthia Hsu, Fanglin Zhang, Teruhiko Kamei, Hiroaki Nasu, Phil Kliza, Khin Htoo, Jeffrey Lutze, Yingda Dong, Masaaki Higashitani, Junhui Yang, Hung-Szu Lin, Vamshi Sakhamuri, Alan Li, Feng Pan, Sridhar Yadala, Subodh Taigor, Kishan Pradhan, James Lan, Jim Chan, Takumi Abe, Yasuyuki Fukuda, Hideo Mukai, Koichi Kawakami, Connie Liang, Tommy Ip, Shu-Fen Chang, Jaggi Lakshmipathi, Sharon Huynh, Dimitris Pantelakis, Mehrdad Mofidi, Khandker Quader
2009	—	`conf`	A 5.6MB/s 64Gb 4b/Cell NAND Flash memory in 43nm CMOS. ISSCC Cuong Trinh, Noboru Shibata, Takeshi Nakano, Mikio Ogawa, Jumpei Sato, Yoshikazu Takeyama, Katsuaki Isobe, Binh Le, Farookh Moogat, Nima Mokhlesi, Kenji Kozakai, Patrick Hong, Teruhiko Kamei, Kiyoaki Iwasa, J. Nakai, Takahiro Shimizu, Mitsuaki Honma, Shintaro Sakai, Toshimasa Kawaai, Satoru Hoshi, Jonghak Yuh, Cynthia Hsu, Taiyuan Tseng, Jason Li, Jayson Hu, M. Liu, Shahzad Khalid, J. Chen, Mitsuyuki Watanabe, Hung-Szu Lin, Junhui Yang, K. McKay, Khanh Nguyen, Tuan Pham, Y. Matsuda, K. Nakamura, Kazunori Kanebako, Susumu Yoshikawa, W. Igarashi, Atsushi Inoue, T. Takahashi, Yukio Komatsu, C. Suzuki, Kousuke Kanazawa, Masaaki Higashitani, Seungpil Lee, T. Murai, K. Nguyen, James Lan, Sharon Huynh, Mark Murin, Mark Shlick, Menahem Lasser, Raul Cernea, Mehrdad Mofidi, K. Schuegraf, Khandker Quader
2009	—	`conf`	Detecting Malicious Insider Threats using a Null Affinity Temporal Three Dimensional Matrix Relation. WOSIS Jonathan White, Brajendra Panda, Quassai Yassen, Khanh Nguyen, Weihan Li
2008	—	`conf`	A 34MB/s-Program-Throughput 16Gb MLC NAND with All-Bitline Architecture in 56nm. ISSCC Raul Cernea, Long Pham, Farookh Moogat, Siu Lung Chan, Binh Le, Yan Li, Shouchang Tsao, Taiyuan Tseng, Khanh Nguyen, Jason Li, Jayson Hu, Jong Park, Cynthia Hsu, Fanglin Zhang, Teruhiko Kamei, Hiroaki Nasu, Phil Kliza, Khin Htoo, Jeffery Lutze, Yingda Dong, Masaaki Higashitani, Junhui Yang, Hung-Szu Lin, Vamshi Sakhamuri, Alan Li, Feng Pan, Sridhar Yadala, Subodh Taigor, Kishan Pradhan, James Lan, Jim Chan, Takumi Abe, Yasuyuki Fukuda, Hideo Mukai, Koichi Kawakami, Connie Liang, Tommy Ip, Shu-Fen Chang, Jaggi Lakshmipathi, Sharon Huynh, Dimitris Pantelakis, Mehrdad Mofidi, Khandker Quader
2008	A	`conf`	Multidimensional information retrieval in peer-to-peer networks. IPDPS Duc A. Tran, Khanh Nguyen
2008	C	`conf`	Semantic-Enabled Organization of Web Services. APWeb Khanh Nguyen, Jinli Cao, Chengfei Liu
2007	C	`conf`	Montgomery Multiplication with Redundancy Check. FDTC Khanh Nguyen, Michael Tunstall
2005	C	`conf`	Asymmetric Concurrent Signatures. ICICS Khanh Nguyen