Dinh Q. Phung

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 206

Top Venues

Publications

Manh Luong, Khai Nguyen, Nhat Ho, Reza Haf, Dinh Q. Phung, Lizhen Qu
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. CoRR (2024)
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation. CoRR (2024)
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Dinh Q. Phung
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Q. Phung, Wanli Ouyang, Jianfei Cai
Taming Stable Diffusion for Text to 360{\deg} Panorama Image Generation. CoRR (2024)
Anh Bui, Vy Vo, Tung Pham, Dinh Q. Phung, Trung Le
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers. CoRR (2024)
Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Frequency Attention for Knowledge Distillation. WACV (2024)
Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR (2024)
Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Q. Phung
Optimal Transport for Structure Learning Under Missing Data. CoRR (2024)
Son Duy Dao, Hengcan Shi, Dinh Q. Phung, Jianfei Cai
Class Enhancement Losses With Pseudo Labels for Open-Vocabulary Semantic Segmentation. IEEE Trans. Multim. 26 (2024)
Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. CoRR (2024)
Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Frequency Attention for Knowledge Distillation. CoRR (2024)
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities. Empir. Softw. Eng. 29 (1) (2024)
Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Q. Phung
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction. CoRR (2024)
Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR (2024)
Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari
Active Continual Learning: Labelling Queries in a Sequence of Tasks. CoRR (2023)
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. CoRR (2023)
Hung Bui, Nguyen Minh Le, Dat Quoc Nguyen, Linh Pham, Dinh Q. Phung
Building and Nurturing AI Development in Vietnam. Commun. ACM 66 (7) (2023)
Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
Optimal Transport Model Distributional Robustness. CoRR (2023)
Dat Quoc Nguyen, Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, Nhung Nguyen, Thien Huu Nguyen, Dinh Q. Phung, Hung Hai Bui
PhoGPT: Generative Pre-training for Vietnamese. CoRR (2023)
Vinh Tong, Dai Quoc Nguyen, Dinh Q. Phung, Dat Quoc Nguyen
Two-View Graph Neural Networks for Knowledge Graph Completion. ESWC (2023)
Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
Vector Quantized Wasserstein Auto-Encoder. ICML (2023)
Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Q. Phung, Trung Le
Sharpness & Shift-Aware Self-Supervised Learning. CoRR (2023)
Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. ICASSP (2023)
Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Gholamreza Haffari
Systematic Assessment of Factual Knowledge in Large Language Models. CoRR (2023)
Pengfei Fang, Mehrtash Harandi, Trung Le, Dinh Q. Phung
Hyperbolic Geometry in Computer Vision: A Survey. CoRR (2023)
Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities. CoRR (2023)
Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation. CoRR (2023)
Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
Optimal Transport Model Distributional Robustness. NeurIPS (2023)
Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. NeurIPS (2023)
Son Duy Dao, Hengcan Shi, Dinh Q. Phung, Jianfei Cai
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation. CoRR (2023)
Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. CoRR (2023)
Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung
Global-Local Regularization Via Distributional Robustness. AISTATS (2023)
Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
Vector Quantized Wasserstein Auto-Encoder. CoRR (2023)
Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin Bonilla, Dinh Q. Phung
Learning Directed Graphical Models with Optimal Transport. CoRR (2023)
Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Reza Haf
Systematic Assessment of Factual Knowledge in Large Language Models. EMNLP (Findings) (2023)
Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. CoRR (2023)
Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation. MICCAI (1) (2023)
Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le
Robust Contrastive Learning With Theory Guarantee. CoRR (2023)
Michael Fu, Van Nguyen, Chakkrit Kla Tantithamthavorn, Trung Le, Dinh Q. Phung
VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types. IEEE Trans. Software Eng. 49 (10) (2023)
Khanh Doan, Quyen Tran, Tuan Nguyen, Dinh Q. Phung, Trung Le
Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay. CoRR (2023)
Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. CoRR (2023)
Son Duy Dao, He Zhao, Dinh Q. Phung, Jianfei Cai
Contrastively enforcing distinctiveness for multi-label image classification. Neurocomputing 555 (2023)
Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. KDD (2023)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Universal Graph Transformer Self-Attention Networks. WWW (Companion Volume) (2022)
Ngoc N. Tran, Anh Tuan Bui, Dinh Q. Phung, Trung Le
Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance. CoRR (2022)
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle. CoRR (2022)
Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training. ACL (Findings) (2022)
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung
VulRepair: a T5-based automated software vulnerability repair. ESEC/SIGSOFT FSE (2022)
Tuan-Duy H. Nguyen, Duy Phung, Duy Tran-Cong Nguyen, Hieu Minh Tran, Manh Luong, Tin Duy Vo, Hung Hai Bui, Dinh Q. Phung, Dat Quoc Nguyen
A Vietnamese-English Neural Machine Translation System. INTERSPEECH (2022)
Dai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. WSDM (2022)
Chuanxia Zheng, Long Tung Vuong, Jianfei Cai, Dinh Q. Phung
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation. CoRR (2022)
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Q. Phung
An Additive Instance-Wise Approach to Multi-class Model Interpretation. CoRR (2022)
Trung Le, Khanh Nguyen, Dinh Q. Phung
Improving kernel online learning with a snapshot memory. Mach. Learn. 111 (3) (2022)
Hoang Phan, Trung Le, Trung Phung, Tuan Anh Bui, Nhat Ho, Dinh Q. Phung
Global-Local Regularization Via Distributional Robustness. CoRR (2022)
Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le
Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? CoRR (2022)
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability. CoRR (2022)
Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Q. Phung, Trung Le
Improving Multi-task Learning via Seeking Task-based Flat Regions. CoRR (2022)
Tin Duy Vo, Manh Luong, Duong Minh Le, Hieu Tran, Nhan Do, Tuan-Duy H. Nguyen, Thien Nguyen, Hung Bui, Dat Quoc Nguyen, Dinh Q. Phung
Vietnamese Speech-based Question Answering over Car Manuals. IUI Companion (2022)
Chuanxia Zheng, Guoxian Song, Tat-Jen Cham, Jianfei Cai, Dinh Q. Phung, Linjie Luo
High-Quality Pluralistic Image Completion via Code Shared VQGAN. CoRR (2022)
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation. UAI (2022)
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai, Dinh Q. Phung
Bridging Global Context Interactions for High-Fidelity Image Completion. CVPR (2022)
Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. ICLR (2022)
Tam Le, Truyen Nguyen, Dinh Q. Phung, Viet Anh Nguyen
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. CoRR (2022)
Tuan Anh Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. CoRR (2022)
Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. AISTATS (2022)
Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Q. Phung, Gholamreza Haffari
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? CoRR (2022)
Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le
Continual Learning with Optimal Transport based Mixture Model. CoRR (2022)
Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin Bonilla, Gholamreza Haffari, Dinh Q. Phung
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations. CoRR (2022)
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dinh Q. Phung
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings. WWW (Companion Volume) (2022)
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Q. Phung
Particle-based Adversarial Local Distribution Regularization. AISTATS (2022)
Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
Most: multi-source domain adaptation via optimal transport for student-teacher learning. UAI (2021)
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung
On efficient multilevel Clustering via Wasserstein distances. J. Mach. Learn. Res. 22 (2021)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Quaternion Graph Neural Networks. ACML (2021)
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Q. Phung
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. CoRR (2021)
Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport. IJCAI (2021)
Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. CoRR (2021)
Trung Le, Dat Do, Tuan Nguyen, Huy Nguyen, Hung Bui, Nhat Ho, Dinh Q. Phung
On Label Shift in Domain Adaptation via Wasserstein Distance. CoRR (2021)
Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. EMNLP (1) (2021)
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Q. Phung
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. NeurIPS (2021)
He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI (2021)
Viet Huynh, Dinh Q. Phung, He Zhao
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges. IJCAI (2021)
Manh-Ha Bui, Toan Tran, Anh Tran, Dinh Q. Phung
Exploiting Domain-Specific Features to Enhance Domain Generalization. NeurIPS (2021)
Vinh Tong, Dai Quoc Nguyen, Dinh Q. Phung, Dat Quoc Nguyen
Two-view Graph Neural Networks for Knowledge Graph Completion. CoRR (2021)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. Phung
Improving Adversarial Robustness by Enforcing Local and Global Compactness. ECCV (27) (2020)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Relational Memory-based Knowledge Graph Embedding. CoRR (2019)
Nhat Ho, Viet Huynh, Dinh Q. Phung, Michael I. Jordan
Probabilistic Multilevel Clustering via Composite Transportation Distance. AISTATS (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)
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung
On Efficient Multilevel Clustering via Wasserstein Distances. CoRR (2019)
Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung
Learning Generative Adversarial Networks from Multiple Data Sources. IJCAI (2019)
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
Robust Anomaly Detection in Videos Using Multilevel Representations. AAAI (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)
Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada
On Scalable Variant of Wasserstein Barycenter. CoRR (2019)
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization. NAACL-HLT (1) (2019)
Trung Le, Dinh Q. Phung
When Can Neural Networks Learn Connected Decision Regions? CoRR (2019)
Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. ICLR (Poster) (2019)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network. NAACL-HLT (2) (2018)
Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung
Geometric Enclosing Networks. IJCAI (2018)
Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
Learning Graph Representation via Frequent Subgraphs. SDM (2018)
Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Academia versus social media: A psycho-linguistic analysis. J. Comput. Sci. 25 (2018)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dinh Q. Phung