2 citations · 10 across the 14 of their papers we have counts for
15 papers
RAPTOR: Role-Aware Private Training for Mixture-of-Experts
Duc Dm, Khai Le-Duc, Nguyen Do +18
Differentially private (DP) fine-tuning methods treat sparse Mixture-of-Experts (MoE) models as a single dense block, ignoring that shared layers see all data while experts only se…
PruneGround: Plug-and-play Spatial Pruning for 3D Visual Grounding
Duc Cao Dinh, Khai Le-Duc, Florent Draye +4
3D Visual Grounding (3DVG) aims to localize target objects in 3D scenes given natural language descriptions. Existing approaches typically perform reasoning over the entire scene,…
S-Chain: Structured Visual Chain-of-Thought For Medicine
Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh +21
Faithful reasoning in medical vision-language models (VLMs) requires not only accurate predictions but also transparent alignment between textual rationales and visual evidence. Wh…
Audio-3DVG: Unified Audio -- Point Cloud Fusion for 3D Visual Grounding
Duc Cao-Dinh, Khai Le-Duc, Anh Dao +5
3D Visual Grounding (3DVG) involves localizing target objects in 3D point clouds based on natural language. While prior work has made strides using textual descriptions, leveraging…
MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation
Khai Le-Duc, Tuyen Tran, Bach Phan Tat +10
Multilingual speech translation (ST) and machine translation (MT) in the medical domain enhances patient care by enabling efficient communication across language barriers, alleviat…
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors
Minh Ngoc Nguyen, Khai Le-Duc, Tan-Hanh Pham +7
Mental health problems such as stress, anxiety, and depression affect millions of people worldwide. These conditions are usually assessed using questionnaires, which rely on how pe…
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder
Khai Le-Duc, Phuc Phan, Tan-Hanh Pham +5
Multilingual automatic speech recognition (ASR) in the medical domain serves as a foundational task for various downstream applications such as speech translation, spoken language…
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham +1
Knowledge graphs (KGs) enhance the performance of large language models (LLMs) and search engines by providing structured, interconnected data that improves reasoning and context-a…
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
Khai Le-Duc, Ryan Zhang, Ngoc Son Nguyen +5
Vision-language models have been extensively explored across a wide range of tasks, achieving satisfactory performance; however, their application in medical imaging remains undere…
Sentiment Reasoning for Healthcare
Khai-Nguyen Nguyen, Khai Le-Duc, Bach Phan Tat +3
Transparency in AI healthcare decision-making is crucial. By incorporating rationales to explain reason for each predicted label, users could understand Large Language Models (LLMs…
Real-time Speech Summarization for Medical Conversations
Khai Le-Duc, Khai-Nguyen Nguyen, Long Vo-Dang +1
In doctor-patient conversations, identifying medically relevant information is crucial, posing the need for conversation summarization. In this work, we propose the first deployabl…
Medical Spoken Named Entity Recognition
Khai Le-Duc, David Thulke, Hung-Phong Tran +4
Spoken Named Entity Recognition (NER) aims to extract named entities from speech and categorise them into types like person, location, organization, etc. In this work, we present V…
VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain
Khai Le-Duc
Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. In this work, we present VietMed - a Vietnamese speech reco…
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project
Khai Le-Duc
In today's interconnected globe, moving abroad is more and more prevalent, whether it's for employment, refugee resettlement, or other causes. Language difficulties between natives…
Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech
Christoph Lüscher, Mohammad Zeineldeen, Zijian Yang +6
Language barriers present a great challenge in our increasingly connected and global world. Especially within the medical domain, e.g. hospital or emergency room, communication dif…