NeurIPS
Agentic Multi-Turn Reasoning: A Fairness Approach
Fortieth Conference on Neural Information Processing Systems (NeurIPS), 2026
Thanh-Dat Truong
Postdoctoral Fellow · University of Arkansas
Thanh-Dat Truong’s research focuses on robust and fair vision learning, including large multimodal learning, adaptation learning, continual learning, and video understanding.
He received his PhD in Computer Science at the University of Arkansas in 2024, where he was supervised by Dr. Khoa Luu. He received his B.Sc. degree in Computer Science from the Honors Program, University of Science, VNU in 2019 under the supervision of Dr. Khoa Luu and Dr. Minh-Triet Tran. He was a research intern with Dr. Minh Do at Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign in 2018.
Recent news
- Sep. 2026
One paper was accepted to the Fortieth Conference on Neural Information Processing Systems, 2026.
- Feb. 2026
One paper was accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026.
- Oct. 2025
Thanh-Dat Truong received the Lambda Research Grant to support his research on large multimodal models.
- Sep. 2025
Thanh-Dat Truong received the NSF ACCESS Award to support his research on large multimodal models.
- Sep. 2025
Two papers were accepted to the Thirty-ninth Conference on Neural Information Processing Systems, 2025.
Earlier updates
- Jun. 2025
One paper was accepted for publication in the International Journal of Computer Vision.
- Mar. 2025
One paper was accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition Precognition Workshop, 2025.
- Feb. 2025
One paper was accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
- Oct. 2024
One paper was accepted for publication in Neurocomputing (IF: 5.5).
- Sep. 2024
One paper was accepted to the Thirty-Eighth Conference on Neural Information Processing Systems, 2024.
- Sep. 2024
Thanh-Dat Truong successfully defended his PhD dissertation.
- May 2024
Thanh-Dat Truong was featured in University of Arkansas news.
- Apr. 2024
One paper was accepted to the 6th IEEE/CVF CVPR Precognition Workshop, 2024.
- Apr. 2024
The Insect-Foundation paper accepted at CVPR 2024 was selected as a highlight paper.
- Mar. 2024
Thanh-Dat Truong was selected to participate in the CVPR 2024 Doctoral Consortium.
- Feb. 2024
A paper co-first-authored by Thanh-Dat Truong was accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.
- Oct. 2023
Thanh-Dat Truong received the NeurIPS 2023 Scholar Award for presenting his paper at NeurIPS 2023.
- Sep. 2023
One paper was accepted to the Thirty-seventh Conference on Neural Information Processing Systems, 2023.
- Sep. 2023
Thanh-Dat Truong was awarded the Reginald R. "Barney" & Jameson A. Baxter Endowed Graduate Fellowship for the 2023–2024 academic year.
- Apr. 2023
Thanh-Dat Truong was awarded a Doctoral Student Presentation Travel Grant to present research at CVPR 2023.
- Mar. 2023
One paper was accepted for publication in Neurocomputing (IF: 5.779).
- Feb. 2023
One paper was accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
Selected Publications
2026
CVPR
φ-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
2025
NeurIPS
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS), 2025
NeurIPS
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS), 2025
IJCV
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
International Journal of Computer Vision (IJCV), 2025
CVPR
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
2024
NeurIPS
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
Neurocomputing
Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
Neurocomputing, 2024
CVPR
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
CVPRW
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2024
2023
NeurIPS
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
CVPR
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Neurocomputing
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition
Neurocomputing, 2023
2022
ICPR
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
The International Conference on Pattern Recognition (ICPR), 2022
CVPR
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
2021
ICCV
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
The IEEE/CVF International Conference on Computer Vision (ICCV), 2021
ICCV
The Right to Talk: An Audio-Visual Transformer Approach
The IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Future Internet
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Future Internet, 2021
2020
CVPR
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
CRV
Domain Generalization via Universal Non-volume Preserving Approach
The Conference on Computer and Robot Vision (CRV), 2020
Others
2025
CVPRW
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models
The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025
2024
2023
arXiv
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
arXiv, 2023
2022
ICIP
Self-Supervised Domain Adaptation in Crowd Counting
The IEEE International Conference on Image Processing (ICIP), 2022
2021
CVPR
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Service & Teaching
Professional service
Program Committee
CVPR Precognition Workshop (since 2020)
Conference reviewer
NeurIPS, ICML, ICLR, CVPR, ICCV, WACV, ECCV, ACCV, ICPR
Journal reviewer
IEEE TPAMI, IEEE TIP, IEEE TAI, IEEE TCSVT, IEEE Access, Computers, Environment and Urban Systems
Teaching
Teaching Assistant
NACME Google Applied Machine Learning Intensive Summer Bootcamp, 2021 & 2022
Co-Lecturer · University of Arkansas
- CSCE 4613 Artificial Intelligence
- CSCE 5703 Computer Vision
- CSCE 4263 Advanced Data Structures
- CSCE 4133 Algorithms