Khanh Nguyen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 71

Top Topics

Imitation Learning

Top Venues

Publications

Dat Nguyen, Khanh Nguyen
Polar: A Managed Runtime with Hotness-Segregated Heap for Far Memory. APSys (2024)
Shah Rukh Humayoun, Jenna Wong, Khanh Nguyen, Purva Zinjarde, Prathiba Ramesh
VREE: A 3D Environment to Train Engineers about Post-Earthquake Damages in Building Structure. VR Workshops (2024)
Khanh Nguyen, Dimosthenis Karatzas
Federated Document Visual Question Answering: A Pilot Study. CoRR (2024)
Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan
Language-Guided World Models: A Model-Based Approach to AI Control. CoRR (2024)
Benjamin Plaut, Khanh Nguyen, Tu Trinh
Softmax Probabilities (Mostly) Predict Large Language Model Correctness on Multiple-Choice Q&A. CoRR (2024)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. CoRR (2024)
Sebastian Rodriguez, Angelo Pasquale, Khanh Nguyen, Amine Ammar, Francisco Chinesta
A time multiscale based data-driven approach in cyclic elasto-plasticity. CoRR (2023)
Angelo Pasquale, Sebastian Rodriguez, Khanh Nguyen, Amine Ammar, Francisco Chinesta
A time multiscale decomposition in cyclic elasto-plasticity. Comput. Math. Appl. 149 (2023)
Zhiyi Ren, Chun-Cheng Hsu, Can Kocabalkanli, Khanh Nguyen, Iulian Iordachita, Serap Bastepe-Gray, Nathan Scott
Multi-Contact Force-Sensing Guitar for Training and Therapy. CoRR (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models. ACL (Findings) (2023)
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
Progressively Efficient Learning. CoRR (2023)
Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. WACV (2023)
Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
Privacy-Aware Document Visual Question Answering. CoRR (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities. CoRR (2023)
Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas
Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia. AAAI (2023)
Son Thai, Hop Bui, Huy Vu, Khanh Nguyen, Tin Huynh, Kiem Hoang
Enhancing Face Anti-Spoofing with Swin Transformer-driven Multi-stage Pipeline. SoICT (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Hallucination Detection for Grounded Instruction Generation. CoRR (2023)
Khanh Nguyen
Language Models are Pragmatic Speakers. CoRR (2023)
Angelo Pasquale, Sebastian Rodriguez, Khanh Nguyen, Amine Ammar, Francisco Chinesta
A time multiscale decomposition in cyclic elasto-plasticity. CoRR (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Hallucination Detection for Grounded Instruction Generation. EMNLP (Findings) (2023)
Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le
Global-local attention for emotion recognition. Neural Comput. Appl. 34 (24) (2022)
Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia. CoRR (2022)
Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than
Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. 38 (2) (2022)
Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. CoRR (2022)
Trung Le, Khanh Nguyen, Dinh Q. Phung
Improving kernel online learning with a snapshot memory. Mach. Learn. 111 (3) (2022)
Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. MICCAI (8) (2022)
Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. CoRR (2022)
Kicho Yu, Khanh Nguyen, Younghee Park
Flexible and Robust Real-Time Intrusion Detection Systems to Network Dynamics. IEEE Access 10 (2022)
Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le
Global-Local Attention for Emotion Recognition. CoRR (2021)
Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
Interactive Learning from Activity Description. ICML (2021)
Cuong Nguyen Manh, Hieu Pham Minh, Hoang Do Van, Khanh Nguyen Quoc, Khanh Nguyen, Manh Tran Van, Anh Phan
Linguistic-based Augmentation for Enhancing Vietnamese Sentiment Analysis. RIVF (2021)
Khanh Nguyen, Yonatan Bisk, Hal Daumé III
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. CoRR (2021)
Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
Interactive Learning from Activity Description. CoRR (2021)
Thi Phuoc Hanh Nguyen, Zinan Cai, Khanh Nguyen, Sokuntheariddh Keth, Ningyuan Shen, Mira Park
Pre-processing Image using Brightening, CLAHE and RETINEX. CoRR (2020)
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
FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020. LSC@ICMR (2020)
Khanh Nguyen, Hal Daumé III
Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms. CoRR (2020)
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)
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)
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)
Tuan Hao Ly, Khanh Nguyen
Do Words Matter: Predicting IPO Performance from Prospectus Sentiment. ICSC (2020)
Khanh Nguyen, Hal Daumé III
Global Voices: Crossing Borders in Automatic News Summarization. CoRR (2019)
Khanh Nguyen, Hal Daumé III
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. CoRR (2019)
Nguyen Tan Cam, Toan Nguyen, Khanh Nguyen, Tuan Nguyen, Van-Hau Pham
Detect Malware in Android Firmware Based on Distributed Network Environment. ICCT (2019)
Khanh Nguyen, Hal Daumé III
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. EMNLP/IJCNLP (1) (2019)
Zhiyi Ren, Chun-Cheng Hsu, Can Kocabalkanli, Khanh Nguyen, Iulian Iordachita, Serap Bastepe-Gray, Nathan Scott
Multi-Contact Force-Sensing Guitar for Training and Therapy. IEEE SENSORS (2019)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung
Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN (2019)
Khanh Nguyen, Hal Daumé III
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. ViGIL@NeurIPS (2019)
Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. CVPR (2019)
Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. 60 (1) (2019)
Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. KDD (2018)
Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention. CoRR (2018)
Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
Bayesian Multi-Hyperplane Machine for Pattern Recognition. ICPR (2018)
Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
Clustering Induced Kernel Learning. ACML (2018)
Trung Le, Khanh Nguyen, Dinh Q. Phung
Theoretical Perspective of Deep Domain Adaptation. CoRR (2018)
Khanh Nguyen
Nonparametric Online Machine Learning with Kernels. IJCAI (2017)
Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. CoRR (2017)
Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
GoGP: Fast Online Regression with Gaussian Processes. ICDM (2017)
Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. WMT (2017)
Trung Le, Khanh Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Analogical-based Bayesian Optimization. CoRR (2017)
Khanh Nguyen, José María Goicolea
Analytical and simplified models for dynamic analysis of sort skew ridges under moving loads. CoRR (2017)
Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. CoRR (2017)
Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. EMNLP (2017)
Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung
Scalable Support Vector Machine for Semi-supervised Learning. CoRR (2016)
Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung
Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) (2016)
Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran
Fast Kernel-based method for anomaly detection. IJCNN (2016)
Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Multiple Kernel Learning with Data Augmentation. ACML (2016)
Duy Nguyen, Vinh Lai, Khanh Nguyen, Trung Le
Mixture of hyperspheres for novelty detection. Vietnam. J. Comput. Sci. 3 (4) (2016)
Khanh Nguyen, Ngo Duc Thanh
Scene text detection based on structural features. IC3INA (2016)
Daniel B. Poll, Khanh Nguyen, Zachary P. Kilpatrick
Sensory feedback in a bump attractor model of path integration. J. Comput. Neurosci. 40 (2) (2016)
Khanh Nguyen
Imitation Learning with Recurrent Neural Networks. CoRR (2016)
Khanh Nguyen, Luca Zappaterra, Hyeong-Ah Choi
A centralized algorithm for dynamic TDD frame reconfigurations in synchronized HetNets. ICC Workshops (2015)
Khanh Nguyen, Brendan O'Connor
Posterior calibration and exploratory analysis for natural language processing models. EMNLP (2015)
Khanh Nguyen, Trung Le, Vinh Lai, Duy Nguyen, Dat Tran, Wanli Ma
Least square Support Vector Machine for large-scale dataset. IJCNN (2015)
Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh
Fast One-Class Support Vector Machine for Novelty Detection. PAKDD (2) (2015)
Khanh Nguyen, David Lowe
Architectural support for non-expert deployment of remote laboratories. FIE (2015)
Khanh Nguyen, Brendan O'Connor
Posterior calibration and exploratory analysis for natural language processing models. CoRR (2015)
Joshua Tan, Khanh Nguyen, Michael Theodorides, Heidi Negrón-Arroyo, Christopher Thompson, Serge Egelman, David A. Wagner
The effect of developer-specified explanations for permission requests on smartphone user behavior. CHI (2014)
Trung Le, Dat Tran, Tien Tran, Khanh Nguyen, Wanli Ma
Fuzzy entropy semi-supervised support vector data description. IJCNN (2013)
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
Monitoring mobility disorders at home using 3D visual sensors and mobile sensors. Wireless Health (2013)
Wu-chi Feng, Khanh Nguyen, Feng Liu, Thanh Dang
Addressing the semantic gap between video sensors and applications. NOSSDAV (2013)
Alex Dusenbery, Khanh Nguyen, Duc A. Tran
Analysis of an investment social network. ICC (2012)
Duc A. Tran, Khanh Nguyen, Cuong Pham
S-CLONE: Socially-aware data replication for social networks. Comput. Networks 56 (7) (2012)
Khanh Nguyen, Jinli Cao
Top-K data source selection for keyword queries over multiple XML data sources. J. Inf. Sci. 38 (2) (2012)
Khanh Nguyen, Jinli Cao
Top-k answers for XML keyword queries. World Wide Web 15 (5-6) (2012)
David Kane, Andrew Liu, Khanh Nguyen
Analyzing an Electronic Limit Order Book. R J. 3 (1) (2011)
Khanh Nguyen, Duc A. Tran
An analysis of activities in Facebook. CCNC (2011)
Khanh Nguyen, Jinli Cao
K-Graphs: Selecting Top-k Data Sources for XML Keyword Queries. DEXA (1) (2011)
Khanh Nguyen, Cuong Pham, Duc A. Tran, Feng Zhang
Preserving Social Locality in Data Replication for Online Social Networks. ICDCS Workshops (2011)
Khanh Nguyen, Jinli Cao
Relevant Answers for XML Keyword Search: A Skyline Approach. WISE (2010)
Khanh Nguyen, Jinli Cao
Exploit keyword query semantics and structure of data for effective XML keyword search. ADC (2010)
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
A 5.6MB/s 64Gb 4b/Cell NAND Flash memory in 43nm CMOS. ISSCC (2009)
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
A 34 MB/s MLC Write Throughput 16 Gb NAND With All Bit Line Architecture on 56 nm Technology. IEEE J. Solid State Circuits 44 (1) (2009)
Jonathan White, Brajendra Panda, Quassai Yassen, Khanh Nguyen, Weihan Li
Detecting Malicious Insider Threats using a Null Affinity Temporal Three Dimensional Matrix Relation. WOSIS (2009)
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
A 34MB/s-Program-Throughput 16Gb MLC NAND with All-Bitline Architecture in 56nm. ISSCC (2008)
Khanh Nguyen, Jinli Cao, Chengfei Liu
Semantic-Enabled Organization of Web Services. APWeb (2008)
Khanh Nguyen, Michael Tunstall
Montgomery Multiplication with Redundancy Check. FDTC (2007)
Khanh Nguyen
Asymmetric Concurrent Signatures. ICICS (2005)