Dinh Phung

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 75

Top Topics

Image Classification

Image Generation

Spelling Correction

Top Venues

Publications

Manh Luong, Khai Nguyen, Nhat Ho, Reza Haf, Dinh Phung, Lizhen Qu
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. ICLR (2024)
Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le
Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR (2024)
Minh-Vuong Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. CoRR (2024)
Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. ACL (Findings) (2024)
Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Dinh Phung
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning. CoRR (2024)
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John C. Grundy
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities. CoRR (2023)
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. 2023 (2023)
Thien Hai Nguyen, Thinh Pham, Khoi Minh Le, Manh Luong, Nguyen Luong Tran, Hieu Man, Dang Minh Nguyen, Tuan Anh Luu, Thien Huu Nguyen, Hung Bui, Dinh Phung, Dat Quoc Nguyen
A Vietnamese Spelling Correction System. IUI Companion (2023)
Son Duy Dao, Dat Huynh, He Zhao, Dinh Phung, Jianfei Cai
Open-Vocabulary Multi-label Image Classification with Pretrained Vision-Language Model. ICME (2023)
Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS (2023)
Xiaohao Yang, He Zhao, Dinh Phung, Lan Du
Towards Generalising Neural Topical Representations. CoRR (2023)
Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. CoRR (2023)
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Reza Haf, Seyit Camtepe, Dinh Phung
An Additive Instance-Wise Approach to Multi-class Model Interpretation. ICLR (2023)
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung
Adversarial local distribution regularization for knowledge distillation. WACV (2023)
Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
On Transportation of Mini-batches: A Hierarchical Approach. ICML (2022)
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. ICSE-Companion (2022)
Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. ISBI (2022)
Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation. NeurIPS (2022)
Linh Vu, Raphaël C.-W. Phan, Lim Wern Han, Dinh Phung
Improved speech emotion recognition based on music-related audio features. EUSIPCO (2022)
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Stochastic Multiple Target Sampling Gradient Descent. CoRR (2022)
Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. AISTATS (2022)
Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? WMT (2022)
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Stochastic Multiple Target Sampling Gradient Descent. NeurIPS (2022)
Dai Quoc Nguyen, Vinh Tong, Dinh Phung, Dat Quoc Nguyen
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. CoRR (2021)
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. CoRR (2021)
Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
Information-theoretic Source Code Vulnerability Highlighting. IJCNN (2021)
Manh-Ha Bui, Toan Tran, Anh Tuan Tran, Dinh Phung
Exploiting Domain-Specific Features to Enhance Domain Generalization. CoRR (2021)
Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho
Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. CoRR (2021)
Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le
BoMb-OT: On Batch of Mini-batches Optimal Transport. CoRR (2021)
Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR (2021)
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
Neural Topic Model via Optimal Transport. ICLR (2021)
Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung
Improved and Efficient Text Adversarial Attacks using Target Information. CoRR (2021)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. CoRR (2021)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. AAAI (2021)
Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung
Text Generation with Deep Variational GAN. CoRR (2021)
Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung
LAMDA: Label Matching Deep Domain Adaptation. ICML (2021)
Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
STEM: An approach to Multi-source Domain Adaptation with Guarantees. ICCV (2021)
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR (2021)
Son D. Dao, Ethan Zhao, Dinh Phung, Jianfei Cai
Multi-Label Image Classification with Contrastive Learning. CoRR (2021)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
Quaternion Graph Neural Networks. CoRR (2020)
Dai Quoc Nguyen, Tuan Nguyen, Dinh Phung
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization. ACL (2020)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. CoRR (2020)
Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) (2020)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
A Self-Attention Network based Node Embedding Model. CoRR (2020)
Nhan Dam, Trung Le, Viet Huynh, Dinh Phung
Stein Variational Gradient Descent with Variance Reduction. IJCNN (2020)
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. CoRR (2020)
Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. EMNLP (1) (2020)
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dinh Phung
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings. CoRR (2020)
Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. 11 (2) (2020)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung
A Capsule Network-based Model for Learning Node Embeddings. CIKM (2020)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
A Self-attention Network Based Node Embedding Model. ECML/PKDD (3) (2020)
He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR (2020)
Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. ICPR (2020)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
Improving Adversarial Robustness by Enforcing Local and Global Compactness. CoRR (2020)
Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models. CoRR (2020)
Viet Huynh, He Zhao, Dinh Phung
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling. NeurIPS (2020)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
Code Action Network for Binary Function Scope Identification. PAKDD (1) (2020)
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
Neural Sinkhorn Topic Model. CoRR (2020)
Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. CoRR (2020)
Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) (2020)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
Code Pointer Network for Binary Function Scope Identification. IJCNN (2020)
Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. CoRR (2020)
Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. IJCNN (2020)
Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. COLING (2020)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS (2020)
Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. CoRR (2020)
Quan Hoang, Trung Le, Dinh Phung
Parameterized Rate-Distortion Stochastic Encoder. ICML (2020)
He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. CoRR (2019)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
Unsupervised Universal Self-Attention Network for Graph Classification. CoRR (2019)
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung
A Capsule Network-based Model for Learning Node Embeddings. CoRR (2019)
Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung
Three-Player Wasserstein GAN via Amortised Duality. IJCAI (2019)
Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari
Learning How to Active Learn by Dreaming. ACL (1) (2019)
Dai Quoc Nguyen, Dat Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
A convolutional neural network-based model for knowledge base completion and its application to search personalization. Semantic Web 10 (5) (2019)