Dinh Phung - RankMe

94 papers A* 22A 5B 6Journal 47Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ordering-based Causal Discovery via Generalized Score Matching. CoRR Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung
2025	J	`jnl`	Enhancing Dataset Distillation via Non-Critical Region Refinement. CoRR Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung
2025	A*	`conf`	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. ICLR Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
2025	J	`jnl`	IMU: Influence-guided Machine Unlearning. CoRR Xindi Fan, Jing Wu, Mingyi Zhou, Pengwei Liang, Dinh Phung
2025	A*	`conf`	Improving Generalization with Flat Hilbert Bayesian Inference. ICML Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le
2025	—	`conf`	Neural Topic Modeling with Large Language Models in the Loop. ACL (1) Xiaohao Yang, He Zhao, Weijie Xu, Yuanyuan Qi, Jueqing Lu, Dinh Phung, Lan Du
2025	J	`jnl`	Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding. CoRR Thi-Nhung Nguyen, Hoang Ngo, Dinh Phung, Thuy-Trang Vu, Dat Quoc Nguyen
2025	A*	`conf`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CVPR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung
2025	A*	`conf`	Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. ICML Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le
2025	J	`jnl`	Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise. CoRR Haocheng Luo, Mehrtash Harandi, Dinh Phung, Trung Le
2024	J	`jnl`	Bridging Global Context Interactions for High-Fidelity Pluralistic Image Completion. IEEE Trans. Pattern Anal. Mach. Intell. Chuanxia Zheng, Guoxian Song, Tat-Jen Cham, Jianfei Cai, Linjie Luo, Dinh Phung
2024	J	`jnl`	Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le
2024	—	`conf`	Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. ACL (Findings) Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
2024	J	`jnl`	Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. CoRR Minh-Vuong Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
2024	J	`jnl`	Improving Generalization with Flat Hilbert Bayesian Inference. CoRR Tuan Truong, Quyen Tran, Quan Pham-Ngoc, Nhat Ho, Dinh Phung, Trung Le
2024	J	`jnl`	Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning. CoRR Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo Van, Thien Huu Nguyen, Nhat Ho, Trung Le
2024	J	`jnl`	MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	—	`conf`	MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	A*	`conf`	Optimal Transport for Structure Learning Under Missing Data. ICML Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung
2024	A*	`conf`	Parameter Estimation in DAGs from Incomplete Data via Optimal Transport. ICML Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung
2024	A*	`conf`	Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. ICLR Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu
2024	A*	`conf`	Taming Stable Diffusion for Text to 360° Panorama Image Generation. CVPR Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai
2024	A*	`conf`	Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. CVPR Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2024	J	`jnl`	Text-Enhanced Data-free Approach for Federated Class-Incremental Learning. CoRR Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2024	J	`jnl`	Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le
2023	—	`conf`	A Vietnamese Spelling Correction System. IUI Companion 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	J	`jnl`	AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities. CoRR Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John C. Grundy
2023	A	`conf`	Adversarial local distribution regularization for knowledge distillation. WACV Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung
2023	A*	`conf`	An Additive Instance-Wise Approach to Multi-class Model Interpretation. ICLR Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung
2023	J	`jnl`	Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
2023	A*	`conf`	Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2023	A	`conf`	Open-Vocabulary Multi-label Image Classification with Pretrained Vision-Language Model. ICME Son Duy Dao, Dat Huynh, He Zhao, Dinh Phung, Jianfei Cai
2023	J	`jnl`	RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. CoRR Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le
2023	J	`jnl`	Towards Generalising Neural Topical Representations. CoRR Xiaohao Yang, He Zhao, Dinh Phung, Lan Du
2022	—	`conf`	Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? WMT Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari
2022	—	`conf`	Improved speech emotion recognition based on music-related audio features. EUSIPCO Linh Vu, Raphaël C.-W. Phan, Wern Han Lim, Dinh Phung
2022	—	`conf`	MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. ISBI Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
2022	A*	`conf`	MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation. NeurIPS Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung
2022	A*	`conf`	On Transportation of Mini-batches: A Hierarchical Approach. ICML Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
2022	—	`conf`	ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. ICSE-Companion Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
2022	J	`jnl`	Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung
2022	A	`conf`	Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. AISTATS Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen
2022	A*	`conf`	Stochastic Multiple Target Sampling Gradient Descent. NeurIPS Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
2022	J	`jnl`	Stochastic Multiple Target Sampling Gradient Descent. CoRR Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
2021	J	`jnl`	BoMb-OT: On Batch of Mini-batches Optimal Transport. CoRR Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le
2021	J	`jnl`	Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
2021	J	`jnl`	Exploiting Domain-Specific Features to Enhance Domain Generalization. CoRR Manh-Ha Bui, Toan Tran, Anh Tuan Tran, Dinh Phung
2021	J	`jnl`	Improved and Efficient Text Adversarial Attacks using Target Information. CoRR Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung
2021	A*	`conf`	Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. AAAI Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2021	B	`conf`	Information-theoretic Source Code Vulnerability Highlighting. IJCNN Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
2021	A*	`conf`	LAMDA: Label Matching Deep Domain Adaptation. ICML Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung
2021	J	`jnl`	Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. CoRR Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho
2021	J	`jnl`	Multi-Label Image Classification with Contrastive Learning. CoRR Son Duy Dao, Ethan Zhao, Dinh Phung, Jianfei Cai
2021	A*	`conf`	Neural Topic Model via Optimal Transport. ICLR He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2021	J	`jnl`	Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. CoRR Dai Quoc Nguyen, Vinh Tong, Dinh Phung, Dat Quoc Nguyen
2021	J	`jnl`	On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. CoRR Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung
2021	A*	`conf`	STEM: An approach to Multi-source Domain Adaptation with Guarantees. ICCV Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
2021	J	`jnl`	Text Generation with Deep Variational GAN. CoRR Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung
2021	J	`jnl`	Topic Modelling Meets Deep Neural Networks: A Survey. CoRR He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2021	J	`jnl`	Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. CoRR Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung
2020	A	`conf`	A Capsule Network-based Model for Learning Node Embeddings. CIKM Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung
2020	A*	`conf`	A Relational Memory-based Embedding Model for Triple Classification and Search Personalization. ACL Dai Quoc Nguyen, Tuan Nguyen, Dinh Phung
2020	J	`jnl`	A Self-Attention Network based Node Embedding Model. CoRR Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
2020	—	`conf`	A Self-attention Network Based Node Embedding Model. ECML/PKDD (3) Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
2020	—	`conf`	Code Action Network for Binary Function Scope Identification. PAKDD (1) Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	B	`conf`	Code Pointer Network for Binary Function Scope Identification. IJCNN Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
2020	—	`conf`	Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	—	`conf`	Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	—	`conf`	Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. EMNLP (1) Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
2020	J	`jnl`	Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. CoRR Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
2020	B	`conf`	Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. COLING Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
2020	J	`jnl`	Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. CoRR Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
2020	B	`conf`	Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. ICPR Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
2020	J	`jnl`	Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. CoRR Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
2020	J	`jnl`	Improving Adversarial Robustness by Enforcing Local and Global Compactness. CoRR Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
2020	J	`jnl`	Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. CoRR Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
2020	J	`jnl`	MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models. CoRR Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
2020	J	`jnl`	Neural Sinkhorn Topic Model. CoRR He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2020	A*	`conf`	OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling. NeurIPS Viet Huynh, He Zhao, Dinh Phung
2020	B	`conf`	OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. IJCNN Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
2020	J	`jnl`	OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. CoRR Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
2020	J	`jnl`	Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann
2020	A*	`conf`	Parameterized Rate-Distortion Stochastic Encoder. ICML Quan Hoang, Trung Le, Dinh Phung
2020	J	`jnl`	QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings. CoRR Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dinh Phung
2020	J	`jnl`	Quaternion Graph Neural Networks. CoRR Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
2020	B	`conf`	Stein Variational Gradient Descent with Variance Reduction. IJCNN Nhan Dam, Trung Le, Viet Huynh, Dinh Phung
2020	J	`jnl`	Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2020	A	`conf`	Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
2019	J	`jnl`	A Capsule Network-based Model for Learning Node Embeddings. CoRR Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung
2019	J	`jnl`	A convolutional neural network-based model for knowledge base completion and its application to search personalization. Semantic Web Dai Quoc Nguyen, Dat Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
2019	—	`conf`	Learning How to Active Learn by Dreaming. ACL (1) Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari
2019	J	`jnl`	Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. CoRR He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2019	A*	`conf`	Three-Player Wasserstein GAN via Amortised Duality. IJCAI Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung
2019	J	`jnl`	Unsupervised Universal Self-Attention Network for Graph Classification. CoRR Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung