| 2026 | AAAI | Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents. | 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 |
| 2025 | CC | Enhancing Program Analysis with Deterministic Distinguishable Calling Context. | Sungkeun Kim, Khanh Nguyen, Chia-Che Tsai, Jaewoo Lee, Abdullah Muzahid, Eun Jung Kim |
| 2025 | CVPR | Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition. | Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian |
| 2025 | ICLR | DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. | Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas |
| 2024 | EMNLP | Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. | Lingjun Zhao, Khanh Nguyen, Hal Daum III |
| 2024 | ICDAR | Federated Document Visual Question Answering: A Pilot Study. | Khanh Nguyen, Dimosthenis Karatzas |
| 2024 | ICDAR | Privacy-Aware Document Visual Question Answering. | Rubn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jlk, Vincent Poulain D'Andecy, Aurlie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas |
| 2024 | VR | VREE: A 3D Environment to Train Engineers about Post-Earthquake Damages in Building Structure. | Shah Rukh Humayoun, Jenna Wong, Khanh Nguyen, Purva Zinjarde, Prathiba Ramesh |
| 2023 | AAAI | Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia. | Khanh Nguyen, Ali Furkan Biten, Andrs Mafla, Llus Gmez, Dimosthenis Karatzas |
| 2023 | ACL | Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models. | Lingjun Zhao, Khanh Nguyen, Hal Daum III |
| 2023 | EMNLP | Hallucination Detection for Grounded Instruction Generation. | Lingjun Zhao, Khanh Nguyen, Hal Daum III |
| 2023 | WACV | Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. | Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen |
| 2022 | MICCAI | AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. | Khanh Nguyen, Huy Hoang Nguyen, Aleksei Tiulpin |
| 2021 | HOTNETS | Snicket: Query-Driven Distributed Tracing. | Jessica Berg, Fabian Ruffy, Khanh Nguyen, Nicholas Yang, Taegyun Kim, Anirudh Sivaraman, Ravi Netravali, Srinivas Narayana |
| 2021 | ICML | Interactive Learning from Activity Description. | Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudk, Patrick Shafto |
| 2020 | IJCNN | Code Pointer Network for Binary Function Scope Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung |
| 2020 | OSDI | Semeru: A Memory-Disaggregated Managed Runtime. | Chenxi Wang, Haoran Ma, Shi Liu, Yuanqi Li, Zhenyuan Ruan, Khanh Nguyen, Michael D. Bond, Ravi Netravali, Miryung Kim, Guoqing Harry Xu |
| 2020 | PAKDD | Code Action Network for Binary Function Scope Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung |
| 2020 | PAKDD | Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. | Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung |
| 2019 | CVPR | Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. | Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan |
| 2019 | EMNLP | Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. | Khanh Nguyen, Hal Daum III |
| 2019 | IJCNN | Deep Domain Adaptation for Vulnerable Code Function Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung |
| 2019 | SOSP | Gerenuk: thin computation over big native data using speculative program transformation. | Christian Navasca, Cheng Cai, Khanh Nguyen, Brian Demsky, Shan Lu, Miryung Kim, Guoqing Harry Xu |
| 2018 | ACML | Clustering Induced Kernel Learning. | Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung |
| 2018 | ASPLOS | Skyway: Connecting Managed Heaps in Distributed Big Data Systems. | Khanh Nguyen, Lu Fang, Christian Navasca, Guoqing Xu, Brian Demsky, Shan Lu |
| 2018 | ICPR | Bayesian Multi-Hyperplane Machine for Pattern Recognition. | Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung |
| 2018 | KDD | Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. | Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb |
| 2018 | PLDI | Calling-to-reference context translation via constraint-guided CFL-reachability. | Cheng Cai, Qirun Zhang, Zhiqiang Zuo, Khanh Nguyen, Guoqing Harry Xu, Zhendong Su |
| 2017 | EMNLP | Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. | Khanh Nguyen, Hal Daum III, Jordan L. Boyd-Graber |
| 2017 | ICDM | GoGP: Fast Online Regression with Gaussian Processes. | Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2017 | IJCAI | Nonparametric Online Machine Learning with Kernels. | Khanh Nguyen |
| 2016 | ACML | Multiple Kernel Learning with Data Augmentation. | Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2016 | HCI | Human-Robot Interaction Modelling for Recruitment and Retention of Employees. | Rajiv Khosla, Mei-Tai Chu, Khanh Nguyen |
| 2016 | IJCNN | Fast Kernel-based method for anomaly detection. | Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran |
| 2016 | MOMM | Robot Enabled Service Personalisation Based On Emotion Feedback. | Rajiv Khosla, Khanh Nguyen, Mei-Tai Chu, Yu-Ang Tan |
| 2016 | OSDI | Yak: A High-Performance Big-Data-Friendly Garbage Collector. | Khanh Nguyen, Lu Fang, Guoqing Xu, Brian Demsky, Shan Lu, Sanazsadat Alamian, Onur Mutlu |
| 2016 | PAKDD | Sparse Adaptive Multi-hyperplane Machine. | Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung |
| 2015 | ASPLOS | FACADE: A Compiler and Runtime for (Almost) Object-Bounded Big Data Applications. | Khanh Nguyen, Kai Wang, Yingyi Bu, Lu Fang, Jianfei Hu, Guoqing Xu |
| 2015 | EMNLP | Posterior calibration and exploratory analysis for natural language processing models. | Khanh Nguyen, Brendan O'Connor |
| 2015 | FIE | Architectural support for non-expert deployment of remote laboratories. | Khanh Nguyen, David Lowe |
| 2015 | IJCNN | Least square Support Vector Machine for large-scale dataset. | Khanh Nguyen, Trung Le, Vinh Lai, Duy Nguyen, Dat Tran, Wanli Ma |
| 2015 | IECON | Service personalisation of assistive robot for autism care. | Rajiv Khosla, Khanh Nguyen, Mei-Tai Chu |
| 2015 | PAKDD | Fast One-Class Support Vector Machine for Novelty Detection. | Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh |
| 2015 | SOSP | Interruptible tasks: treating memory pressure as interrupts for highly scalable data-parallel programs. | Lu Fang, Khanh Nguyen, Guoqing Xu, Brian Demsky, Shan Lu |
| 2015 | SOSP | Speculative region-based memory management for big data systems. | Khanh Nguyen, Lu Fang, Guoqing Xu, Brian Demsky |
| 2014 | CHI | The effect of developer-specified explanations for permission requests on smartphone user behavior. | Joshua Tan, Khanh Nguyen, Michael Theodorides, Heidi Negrn-Arroyo, Christopher Thompson, Serge Egelman, David A. Wagner |
| 2013 | COMPSAC | Affective Robot Enabled Capacity and Quality Improvement of Nursing Home Aged Care Services in Australia. | Rajiv Khosla, Mei-Tai Chu, Khanh Nguyen |
| 2013 | IJCNN | Fuzzy entropy semi-supervised support vector data description. | Trung Le, Dat Tran, Tien Tran, Khanh Nguyen, Wanli Ma |
| 2013 | NOSSDAV | Addressing the semantic gap between video sensors and applications. | Wu-chi Feng, Khanh Nguyen, Feng Liu, Thanh Dang |
| 2011 | DEXA | K-Graphs: Selecting Top-k Data Sources for XML Keyword Queries. | Khanh Nguyen, Jinli Cao |
| 2010 | ADC | Exploit keyword query semantics and structure of data for effective XML keyword search. | Khanh Nguyen, Jinli Cao |
| 2010 | WISE | Relevant Answers for XML Keyword Search: A Skyline Approach. | Khanh Nguyen, Jinli Cao |
| 2008 | APWEB | Semantic-Enabled Organization of Web Services. | Khanh Nguyen, Jinli Cao, Chengfei Liu |
| 2007 | FDTC | Montgomery Multiplication with Redundancy Check. | Khanh Nguyen, Michael Tunstall |
| 2005 | ICICS | Asymmetric Concurrent Signatures. | Khanh Nguyen |