Dinh Phung
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
18
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Neural Topic Modeling with Large Language Models in the Loop. | Xiaohao Yang, He Zhao, Weijie Xu, Yuanyuan Qi, Jueqing Lu, Dinh Phung, Lan Du |
| 2025 | CVPR | Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. | Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung |
| 2025 | ICLR | Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. | Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung |
| 2025 | ICML | Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. | Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le |
| 2025 | ICML | Improving Generalization with Flat Hilbert Bayesian Inference. | Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le |
| 2024 | ACL | Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. | Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari |
| 2024 | CVPR | Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. | Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung |
| 2024 | CVPR | Taming Stable Diffusion for Text to 360° Panorama Image Generation. | Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai |
| 2024 | ECCV | MetaAug: Meta-data Augmentation for Post-training Quantization. | Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do |
| 2024 | ICLR | Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. | Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu |
| 2024 | ICML | Optimal Transport for Structure Learning Under Missing Data. | Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung |
| 2024 | ICML | Parameter Estimation in DAGs from Incomplete Data via Optimal Transport. | Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung |
| 2023 | ICLR | An Additive Instance-Wise Approach to Multi-class Model Interpretation. | Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung |
| 2023 | IUI | A Vietnamese Spelling Correction System. | 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 |
| 2023 | WACV | Adversarial local distribution regularization for knowledge distillation. | Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung |
| 2022 | AISTATS | Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. | Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen |
| 2022 | ICML | On Transportation of Mini-batches: A Hierarchical Approach. | Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho |
| 2022 | ICSE | ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. | Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung |
| 2021 | AAAI | Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. | Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung |
| 2021 | ICCV | STEM: An approach to Multi-source Domain Adaptation with Guarantees. | Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung |
| 2021 | ICLR | Neural Topic Model via Optimal Transport. | He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine |
| 2021 | ICML | LAMDA: Label Matching Deep Domain Adaptation. | Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung |
| 2021 | IJCNN | Information-theoretic Source Code Vulnerability Highlighting. | Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung |
| 2020 | ACL | A Relational Memory-based Embedding Model for Triple Classification and Search Personalization. | Dai Quoc Nguyen, Tuan Nguyen, Dinh Phung |
| 2020 | AISTATS | Variational Autoencoders for Sparse and Overdispersed Discrete Data. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou |
| 2020 | CIKM | A Capsule Network-based Model for Learning Node Embeddings. | Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung |
| 2020 | COLING | Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. | Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung |
| 2020 | EMNLP | Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. | Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari |
| 2020 | ICML | Parameterized Rate-Distortion Stochastic Encoder. | Quan Hoang, Trung Le, Dinh Phung |
| 2020 | ICPR | Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. | Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung |
| 2020 | IJCNN | Stein Variational Gradient Descent with Variance Reduction. | Nhan Dam, Trung Le, Viet Huynh, Dinh Phung |
| 2020 | IJCNN | OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. | Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung |
| 2020 | IJCNN | Code Pointer Network for Binary Function Scope Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung |
| 2020 | PAKDD | Code Action Network for Binary Function Scope Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung |
| 2020 | PAKDD | Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. | Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung |
| 2020 | PAKDD | Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. | Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung |
| 2019 | ACL | Learning How to Active Learn by Dreaming. | Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari |
| 2019 | IJCAI | Three-Player Wasserstein GAN via Amortised Duality. | Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung |