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Author search results
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- Dinh Q. Phung
aka: Dinh Quoc Phung, Dinh Phung 0001
Monash University, Melbourne, Victoria, Australia
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Publication search results
found 491 matches
- 2025
- Bao The Phung, Ba Cao Nguyen, Dinh Tan Tran, Le Van Nguyen, Hung Viet Ha, Bui Vu Minh, Nguyen Huu Khanh Nhan:
Analyzing error probability in aerial full-duplex relay systems: Exact formulations and optimization techniques. Digit. Signal Process. 156: 104779 (2025) - 2024
- Dinh-Tu Nguyen, Thi-Nhung Le, Thi-Huong Phung, Duc-Manh Nguyen, Hong-Quan Nguyen, Hong-Thai Pham, Thi-Thu-Hong Phan, Hai Vu, Thi-Lan Le:
Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques. Ecol. Informatics 82: 102744 (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): 4 (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: 8442-8453 (2024) - Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le:
Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. 33(3): 78:1-78:29 (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): 162 (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: 2862-2883 - Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung:
Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. CVPR 2024: 23870-23880 - Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung:
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation. CVPR 2024: 23860-23869 - Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai:
Taming Stable Diffusion for Text to 360° Panorama Image Generation. CVPR 2024: 6347-6357 - Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu:
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. ICLR 2024 - Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung:
Optimal Transport for Structure Learning Under Missing Data. ICML 2024 - Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung:
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport. ICML 2024 - Hiep Xuan Trinh, Bich Ngoc Nguyen, Van Binh Phung, Anh Tuan Nguyen, Hoang Trung Kien, Dinh Quang Nguyen:
Dynamics Modeling and Validation of a Bio-Inspired Soft Eel Robots for Underwater Motion. SII 2024: 233-238 - Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. WACV 2024: 2266-2275 - 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 abs/2401.15952 (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 abs/2402.11199 (2024) - Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Q. Phung:
Optimal Transport for Structure Learning Under Missing Data. CoRR abs/2402.15255 (2024) - Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. CoRR abs/2403.05894 (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 abs/2403.12326 (2024) - Anh Bui, Vy Vo, Tung Pham, Dinh Q. Phung, Trung Le:
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers. CoRR abs/2403.13204 (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 abs/2403.14101 (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 abs/2404.07949 (2024) - Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Q. Phung, Lizhen Qu:
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. CoRR abs/2405.10084 (2024) - Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Q. Phung:
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction. CoRR abs/2406.05641 (2024) - Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le:
Agnostic Sharpness-Aware Minimization. CoRR abs/2406.07107 (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 abs/2406.09008 (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 abs/2407.02721 (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 abs/2407.14726 (2024) - Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le:
Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR abs/2408.04221 (2024)
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