Quan Nguyen - RankMe

93 papers A* 6A 2B 2C 6Journal 54Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Counterfactual Explanations on Robust Perceptual Geodesics. CoRR Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta
2026	J	`jnl`	Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning. CoRR Hoang M. Ngo, Nhat Hoang-Xuan, Quan Nguyen, Nguyen Do, Incheol Shin, My T. Thai
2025	—	`conf`	A Lightweight Moment Retrieval System with Global Re-Ranking and Robust Adaptive Bidirectional Temporal Search. CVPR Workshops Tinh-Anh Nguyen-Nhu, Huu-Loc Tran, Nguyen-Khang Le, Minh-Nhat Nguyen, Tien-Huy Nguyen, Hoang-Long Nguyen-Huu, Huu-Phong Phan-Nguyen, Huy-Thach Pham, Quan Nguyen, Hoang M. Le, Quang-Vinh Dinh
2025	J	`jnl`	A Lightweight Moment Retrieval System with Global Re-Ranking and Robust Adaptive Bidirectional Temporal Search. CoRR Tinh-Anh Nguyen-Nhu, Huu-Loc Tran, Nguyen-Khang Le, Minh-Nhat Nguyen, Tien-Huy Nguyen, Hoang-Long Nguyen-Huu, Huu-Phong Phan-Nguyen, Huy-Thach Pham, Quan Nguyen, Hoang M. Le, Quang-Vinh Dinh
2025	J	`jnl`	Analyzing Prompt Effectiveness in Generating Feedback for Programming Errors. J. Comput. Sci. Coll. Quan Nguyen, Chrisma Ndlovu
2025	C	`conf`	C2GMatch: Leveraging Dual-View Cross-Guidance and Co-Guidance Framework for Semi-Supervised Cell Segmentation. IPAS Thi-Ngoc-Truc Nguyen, Xuan-Hong Ong, Hoang-Thien Nguyen, Van-Hung Bui, Hoang-Nguyen Vu, Thanh Minh Nguyen, Quan Nguyen, Huu-Hung Nguyen
2025	J	`jnl`	Combating the Effects of Cyber-Psychosis: Using Object Security to Facilitate Critical Thinking. CoRR Robert H. Thomson, Quan Nguyen, Essien Ayanam, Matthew Canham, Thomas C. Schmidt, Matthias Wählisch, Eric Osterweil
2025	—	`conf`	Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection. CVPR Workshops Huu-Phong Phan-Nguyen, Anh Dao, Tien-Huy Nguyen, Tuan Quang, Huu-Loc Tran, Tinh-Anh Nguyen-Nhu, Huy-Thach Pham, Quan Nguyen, Hoang M. Le, Quang-Vinh Dinh
2025	J	`jnl`	Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection. CoRR Huu-Phong Phan-Nguyen, Anh Dao, Tien-Huy Nguyen, Tuan Quang, Huu-Loc Tran, Tinh-Anh Nguyen-Nhu, Huy-Thach Pham, Quan Nguyen, Hoang M. Le, Quang-Vinh Dinh
2025	J	`jnl`	Data-dependent Bounds with CoRR Quan Nguyen, Shinji Ito, Junpei Komiyama, Nishant A. Mehta
2025	—	`conf`	DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction. ELAMI@MICCAI Minh Huu Nhat Le, Uyen Khoi Minh Huynh, Hong Xuan Ong, Phat K. Huynh, Minh-Toan Dinh, Han Hong Huynh, Hien Quang Kha, Phat Ky Nguyen, Xuan-Loc Huynh, An Thuy Vo, Thanh-Minh Nguyen, Thanh-Huy Nguyen, Quan Nguyen, Nguyen Quoc Khanh Le
2025	—	`conf`	Energy optimal UAV path planning for full area coverage: A Review. ICRCA Quan Nguyen, Loulin Huang, Achala Perera
2025	C	`conf`	Enhancing Auxilliary Cancer Classification Task for Multi-task Breast Ultrasound Diagnosis Network. IPAS Dat T. Chung, Quan Nguyen, Thanh-Minh Nguyen, Quang-Vinh Dinh
2025	J	`jnl`	GMAT: Grounded Multi-Agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification. CoRR Ngoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Quan Nguyen, Ulas Bagci
2025	—	`conf`	GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification. ELAMI@MICCAI Ngoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Quan Nguyen, Ulas Bagci
2025	—	`conf`	HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation. CVPR Workshops Tran Quoc Khanh Le, Nguyen Lan Vi Vu, Ha-Hieu Pham, Xuan-Loc Huynh, Tien-Huy Nguyen, Minh Huu Nhat Le, Quan Nguyen, Hien D. Nguyen
2025	J	`jnl`	HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation. CoRR Tran Quoc Khanh Le, Nguyen Lan Vi Vu, Ha-Hieu Pham, Xuan-Loc Huynh, Tien-Huy Nguyen, Minh Huu Nhat Le, Quan Nguyen, Hien D. Nguyen
2025	J	`jnl`	How to Setβ CoRR Quan Nguyen
2025	J	`jnl`	Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning. CoRR Zhaoyuan Gu, Junheng Li, Wenlan Shen, Wenhao Yu, Zhaoming Xie, Stephen McCrory, Xianyi Cheng, Abdulaziz Shamsah, Robert J. Griffin, C. Karen Liu, Abderrahmane Kheddar, Xue Bin Peng, Yuke Zhu, Guanya Shi, Quan Nguyen, Gordon Cheng, Huijun Gao, Ye Zhao
2025	—	`conf`	IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme. CVPR Workshops Quan Tran, Hoang-Thien Nguyen, Thanh-Huy Nguyen, Gia-Van To, Tien-Huy Nguyen, Quan Nguyen
2025	J	`jnl`	IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme. CoRR Quan Tran Dinh Dai, Hoang-Thien Nguyen, Thanh-Huy Nguyen, Gia-Van To, Tien-Huy Nguyen, Quan Nguyen
2025	J	`jnl`	Impact of IBR Location and Parameters on Inter-Area Oscillation Modes in Bulk Power Grids. IEEE Access Shuchismita Biswas, Xue Lyu, Quan Nguyen, Xiaoyuan Fan, Minghui Lu, Wei Du
2025	J	`jnl`	Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes. CoRR Da Wu, Zhanliang Wang, Quan Nguyen, Kai Wang
2025	J	`jnl`	Learning Fast, Tool aware Collision Avoidance for Collaborative Robots. CoRR Joonho Lee, Yunho Kim, Seokjoon Kim, Quan Nguyen, Young Jin Heo
2025	J	`jnl`	Learning Fast, Tool-Aware Collision Avoidance for Collaborative Robots. IEEE Robotics Autom. Lett. Joonho Lee, Yunho Kim, Seokjoon Kim, Quan Nguyen, Young Jin Heo
2025	—	`conf`	Lightweight Dual-Task Framework for Semi-supervised Lesion Segmentation with Knowledge Distillation from SAM. ISIC@MICCAI Xuan-Loc Huynh, Huy-Thach Pham, Anh Mai Vu, Thanh-Minh Nguyen, Tran Quang Khai Bui, Tat-Bach Nguyen, Quan Nguyen, Minh Huu Nhat Le, Phat K. Huynh
2025	J	`jnl`	Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications. CoRR Da Wu, Zhanliang Wang, Quan Nguyen, Zhuoran Xu, Kai Wang
2025	J	`jnl`	Non-interactive Anonymous Tokens with Private Metadata Bit. IACR Cryptol. ePrint Arch. Foteini Baldimtsi, Lucjan Hanzlik, Quan Nguyen, Aayush Yadav
2025	J	`jnl`	One-Layer Transformers are Provably Optimal for In-context Reasoning and Distributional Association Learning in Next-Token Prediction Tasks. CoRR Quan Nguyen, Thanh Nguyen-Tang
2025	J	`jnl`	Oscillation Analysis and Damping Control for a Proposed North American AC-DC Macrogrid. CoRR Kaustav Chatterjee, Sameer Nekkalapu, Antos Cheeramban Varghese, Marcelo Elizondo, Quan Nguyen, Xiaoyuan Fan
2025	A	`conf`	Preferenced Oracle Guided Multi-mode Policies for Dynamic Bipedal Loco-Manipulation. IROS Prashanth Ravichandar, Lokesh Krishna, Nikhil Sobanbabu, Quan Nguyen
2025	C	`conf`	Redesigned Dual-Task Learning Framework for Diagnosis Mammography Screening with BI-RADS and Density Classification. IPAS Quan Nguyen
2025	J	`jnl`	Reduce Computational Cost In Deep Reinforcement Learning Via Randomized Policy Learning. CoRR Zhuochen Liu, Rahul Jain, Quan Nguyen
2025	J	`jnl`	Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs. CoRR Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin
2025	C	`conf`	Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells. IPAS Quoc-Vinh Luu, Khanh-Duy Le, Thanh-Huy Nguyen, Thanh-Minh Nguyen, Quan Nguyen, Tien-Thinh Nguyen, Quang-Vinh Dinh
2025	—	`conf`	Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking. CVPR Workshops Huu-Loc Tran, Tinh-Anh Nguyen-Nhu, Huu-Phong Phan-Nguyen, Tien-Huy Nguyen, Nhat-Minh Nguyen-Dich, Anh Dao, Huy-Duc Do, Quan Nguyen, Hoang M. Le, Quang-Vinh Dinh
2025	J	`jnl`	Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking. CoRR Huu-Loc Tran, Tinh-Anh Nguyen-Nhu, Huu-Phong Phan-Nguyen, Tien-Huy Nguyen, Nhat-Minh Nguyen-Dich, Anh Dao, Huy-Duc Do, Quan Nguyen, Hoang M. Le, Quang-Vinh Dinh
2025	J	`jnl`	Vendi Information Gain for Active Learning and its Application to Ecology. CoRR Quan Nguyen, Adji Bousso Dieng
2025	J	`jnl`	Vendi Information Gain: An Alternative To Mutual Information For Science And Machine Learning. CoRR Quan Nguyen, Adji Bousso Dieng
2025	C	`conf`	Versatile Safety-Aware MPC for Dynamic Whole-Body Loco-Manipulation. ACC Muqun Hu, Alberto Rigo, Quan Nguyen
2024	J	`jnl`	Amortized nonmyopic active search via deep imitation learning. CoRR Quan Nguyen, Anindya Sarkar, Roman Garnett
2024	J	`jnl`	Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity. CoRR Quan Nguyen, Nishant A. Mehta, Cristóbal Guzmán
2024	—	`conf`	Deep Learning-Based Covariance Estimation for Relative Pose Measurements. ITSC Alireza Ahrabian, Quan Nguyen, Nikos Toulios, Anthony Ohazulike
2024	—	`conf`	Evaluating the Impact of Retiring Synchronous Fossil Fuel Generators on Inter-Area Oscillations in the U.S. Western Interconnection. HICSS Shuchismita Biswas, Quan Nguyen, Xue Lyu, Xiaoyuan Fan, Wei Du, Zhenyu Huang
2024	J	`jnl`	FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. IEEE Trans. Netw. Serv. Manag. Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
2024	A*	`conf`	Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution. ICML Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta
2024	J	`jnl`	Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution. CoRR Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta
2024	J	`jnl`	Near-optimal Per-Action Regret Bounds for Sleeping Bandits. CoRR Quan Nguyen, Nishant A. Mehta
2024	A*	`conf`	Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design. ICML Quan Nguyen, Adji Bousso Dieng
2024	J	`jnl`	Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design. CoRR Quan Nguyen, Adji Bousso Dieng
2023	B	`conf`	Adversarial Online Multi-Task Reinforcement Learning. ALT Quan Nguyen, Nishant A. Mehta
2023	J	`jnl`	Adversarial Online Multi-Task Reinforcement Learning. CoRR Quan Nguyen, Nishant A. Mehta
2023	—	`conf`	Characterizing HVDC Transmission Flexibility under Extreme Operating Conditions. ISGT Quan Nguyen, Pavel V. Etingov, Marcelo A. Elizondo
2023	J	`jnl`	Dynamic Security Analysis Framework for Future Large Grids With High Renewable Penetrations. IEEE Access Kishan Prudhvi Guddanti, Bharat Vyakaranam, Kaveri Mahapatra, Zhangshuan Hou, Pavel V. Etingov, Nader Samaan, Tony Nguyen, Quan Nguyen
2023	J	`jnl`	Identification of Voltage Stability Critical Locations for Future Large Grids With High Renewable Mix. IEEE Access Kishan Prudhvi Guddanti, Bharat Vyakaranam, Tony Nguyen, Slaven Kincic, Pavel V. Etingov, Quan Nguyen, Nader Samaan, Kaveri Mahapatra, Chuan Qin
2023	A	`conf`	Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. AISTATS Quan Nguyen, Roman Garnett
2023	J	`jnl`	Segmenting mechanically heterogeneous domains via unsupervised learning. CoRR Quan Nguyen, Emma Lejeune
2023	J	`jnl`	VinaLLaMA: LLaMA-based Vietnamese Foundation Model. CoRR Quan Nguyen, Huy Pham, Dung Dao
2023	J	`jnl`	localcovid19now: processing and mapping COVID-19 case data at subnational scales. J. Open Source Softw. Stephen J. Beckett, Freyja A. Brandel-Tanis, Quan Nguyen, Aroon T. Chande, Lavanya Rishishwar, Clio Andris, Joshua S. Weitz
2022	J	`jnl`	Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam. Briefings Bioinform. Duy Pham, Buu Truong, Khai Tran, Guiyan Ni, Dat Nguyen, Trang T. H. Tran, Mai H. Tran, Duong Thuy Nguyen, Nam S. Vo, Quan Nguyen
2022	J	`jnl`	FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. CoRR Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
2022	—	`conf`	Guided Data Discovery in Interactive Visualizations via Active Search. IEEE VIS (Short Papers) Shayan Monadjemi, Sunwoo Ha, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley
2022	J	`jnl`	Hands to Hexapods, Wearable User Interface Design for Specifying Leg Placement for Legged Robots. Frontiers Robotics AI Jianfeng Zhou, Quan Nguyen, Sanjana Kamath, Yaneev Hacohen, Chunchu Zhu, Michael J. Fu, Kathryn A. Daltorio
2022	A*	`conf`	Local Bayesian optimization via maximizing probability of descent. NeurIPS Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
2022	J	`jnl`	Local Bayesian optimization via maximizing probability of descent. CoRR Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
2022	J	`jnl`	Nonmyopic Multiclass Active Search for Diverse Discovery. CoRR Quan Nguyen, Roman Garnett
2022	J	`jnl`	TailorEd: Classroom Configuration and Activity Identifiers (CCID & CAID). EAI Endorsed Trans. Creative Technol. Andrés Mauricio Calle, Quan Nguyen, Kristin Lee, Julia Voss, Navid Shaghaghi
2021	—	`ch.`	Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues. Artificial Neural Networks, 3rd Edition Xiao Tan, Andrew Su, Hamideh Hajiabadi, Minh Tran, Quan Nguyen
2021	J	`jnl`	Control and Simulation of a Grid-Forming Inverter for Hybrid PV-Battery Plants in Power System Black Start. CoRR Quan Nguyen, Mallikarjuna R. Vallem, Bharat Vyakaranam, Ahmad Tbaileh, Xinda Ke, Nader Samaan
2021	J	`jnl`	EMS and DMS Integration of the Coordinative Real-time Sub-Transmission Volt-Var Control Tool under High DER Penetration. CoRR Quan Nguyen, Jim Ogle, Xiaoyuan Fan, Xinda Ke, Mallikarjuna R. Vallem, Nader Samaan, Ning Lu
2021	J	`jnl`	Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search. J. Chem. Inf. Model. Fatemah Mukadum, Quan Nguyen, Daniel M. Adrion, Gabriel Appleby, Rui Chen, Haley Dang, Remco Chang, Roman Garnett, Steven A. Lopez
2021	—	`conf`	Line-Constrained L∞ One-Center Problem on Uncertain Points. AISS Quan Nguyen, Jingru Zhang
2021	—	`conf`	New Zealand Shellfish Detection, Recognition and Counting: A Deep Learning Approach on Mobile Devices. ISGV Quan Nguyen, Minh Nguyen, Bowen Sun, Huy Le
2021	A*	`conf`	Nonmyopic Multifidelity Acitve Search. ICML Quan Nguyen, Arghavan Modiri, Roman Garnett
2021	J	`jnl`	Nonmyopic Multifidelity Active Search. CoRR Quan Nguyen, Arghavan Modiri, Roman Garnett
2021	A*	`conf`	Scarce Societal Resource Allocation and the Price of (Local) Justice. AAAI Quan Nguyen, Sanmay Das, Roman Garnett
2020	J	`jnl`	Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search. CoRR Shayan Monadjemi, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley
2020	—	`conf`	Automatic Data Generation for Deep Learning Model Training of Image Classification used for Augmented Reality on Pre-school Books. MAPR Huy Le, Minh Nguyen, Quan Nguyen, Hoa Nguyen, Wei Qi Yan
2020	B	`conf`	Improving mix-and-separate training in audio-visual sound source separation with an object prior. ICPR Quan Nguyen, Julius Richter, Mikko Lauri, Timo Gerkmann, Simone Frintrop
2020	J	`jnl`	SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells. Bioinform. Xiao Tan, Andrew Su, Minh Tran, Quan Nguyen
2020	—	`conf`	Web-based object detection and sound feedback system for visually impaired people. MAPR Hoa Nguyen, Minh Nguyen, Quan Nguyen, Shu Yang, Huy Le
2019	—	`conf`	Distance Dependent Maximum Margin Dirichlet Process Mixture. PRICAI (2) Quan Nguyen, Mikko Lauri, Simone Frintrop
2019	J	`jnl`	Loss Minimization with Optimal Power Dispatch in Multi-Frequency HVac Power Systems. CoRR Quan Nguyen, Keng-Weng Lao, Phuong Vu, Surya Santoso
2019	J	`jnl`	Optimal Future Sub-Transmission Volt-Var Planning Tool to Enable High PV Penetration. CoRR Quan Nguyen, Xinda Ke, Nader Samaan, Jesse Holzer, Marcelo Elizondo, Huifen Zhou, Zhangshuan Hou, Renke Huang, Mallikarjuna Vallem, Bharat Vyakaranam, Malini Ghosal, Yuri V. Makarov
2019	J	`jnl`	Optimal Planning and Operation of Multi-Frequency HVac Transmission Systems. CoRR Quan Nguyen, Surya Santoso
2019	A*	`conf`	Optimized Jumping on the MIT Cheetah 3 Robot. ICRA Quan Nguyen, Matthew J. Powell, Benjamin Katz, Jared Di Carlo, Sangbae Kim
2019	—	`conf`	Safety-Critical Control for Non-affine Nonlinear Systems with Application on Autonomous Vehicle. CDC Tong Duy Son, Quan Nguyen
2017	J	`jnl`	The Dialog State Tracking Challenge with Bayesian Approach. CoRR Quan Nguyen
2016	J	`jnl`	Oral fairy tale or literary fake? Investigating the origins of Little Red Riding Hood using phylogenetic network analysis. Digit. Scholarsh. Humanit. Jamshid Tehrani, Quan Nguyen, Teemu Roos
2015	—	`conf`	Likelihood-Based Inference of Phylogenetic Networks from Sequence Data by PhyloDAG. AlCoB Quan Nguyen, Teemu Roos
2014	C	`conf`	Improving performance of single-phase SOGI-FLL under DC-offset voltage condition. IECON Tuan Ngo, Quan Nguyen, Surya Santoso
1996	—	`conf`	A Fuzzy Dynamic Multiple Inheritance Model in Object-Oriented Simulation. ESM Quan Nguyen, Tu Van Le
1996	—	`conf`	Fuzzy discrete-event simulation with FTipLog. ANZIIS Quan Nguyen, Tu Van Le