DIET: Machine Unlearning on a Data-Diet
Kunananthaseelan, Nilakshan, Wu, Jing, Le, Trung, Haffari, Gholamreza, Harandi, Mehrtash
AAAI Conference on Artificial Intelligence (AAAI 2026)Conference
Publications
Papers & Preprints
2026
CTPD: Cross Tokenizer Preference Distillation
Nguyen, Truong, Dat, Van-Phi, Nguyen, Ngan, Ngo, Van-Linh, Le, Trung, Nguyen, Hong-Thanh
AAAI Conference on Artificial Intelligence (AAAI 2026)Conference
DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation
Vu, Duc Trung, Pham, Khanh Chi, Van, Dat Phi, Ngo, Linh, Van, Dinh, Viet Sang, Le, Trung
Findings of European Chapter of the Association for Computational Linguistics (EACL)Conference
Causal Direct Preference Optimization for Language Model Alignment
Le, Uyen, Nguyen, Thin, Nguyen, Toan, Doan, Toan, Le, Trung, Le, Bac
Findings of European Chapter of the Association for Computational Linguistics (EACL)Conference
Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models
Nguyen, Thanh Vinh, Ngo, Van Dong, Chu, Xuan Minh, Nguyen, Tung, Ngo, Van Linh, Dinh, Viet Sang, Le, Trung
Findings of European Chapter of the Association for Computational Linguistics (EACL)Conference
Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
Nguyen, Quoc Minh, Le, Trung, Wu, Jing, Bui, Anh Tuan, Harandi, Mehrtash
International Conference on Representation Learning (ICLR 2026)Conference
Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
Bui, Anh Tuan, Vu, Thuy-Trang, Le, Trung, Kim, Junae, Abraham, Tamas, Omari, Rollin, Kaur, Amardeep, Phung, Dinh
International Conference on Representation Learning (ICLR 2026)Conference
Understanding Collaboration Mechanism In VAE Recommender Systems
Vuong, Long Tung, Monteil, Julien, Dang, Hien, Vaskovych, Volodymyr, Le, Trung, Nguyen, Vu
International Conference on Representation Learning (ICLR 2026)Conference
Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
Hoang, Dung Anh, Pham, Cuong, Le, Trung, Cai, Jianfei, Do, Thanh-Toan
International Conference on Representation Learning (ICLR 2026)Conference
Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
Luo, Haocheng, Deng, Zehang, Do, Thanh-Toan, Harandi, Mehrtash, Phung, Dinh, Le, Trung
International Conference on Representation Learning (ICLR 2026)Conference
Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models
Pham, Cuong, Hoang, Dung Anh, Nguyen, Cuong C., Le, Trung, Phung, Dinh, Carneiro, Gustavo, Do, Thanh-Toan
International Conference on Representation Learning (ICLR 2026)Conference
Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment
Nguyen, Van-Anh, Harandi, Mehrtash, Do, Thanh-Toan, Ngo, Van Linh, Phung, Dinh, Le, Trung
International Conference on Representation Learning (ICLR 2026)Conference
Ordering-based Causal Discovery via Generalized Score Matching
Vo, Vy, Zhao, He, Le, Trung, Bonilla, Edwin V, Phung, Dinh
SIGKDD Conference on Knowledge Discovery and Data Mining, 2026Conference
Efficient Temporal-aware Matryoshka Adaptation for Temporal Information Retrieval
Huynh, Tuan-Luc, Wang, Weiqing, Le, Trung, Vu, Thuy-Trang, Ga{\v{s}}evi{\'c}, Dragan, Li, Yuan-Fang, Do, Thanh-Toan
arXiv preprint arXiv:2601.05549Preprint
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
Tran, Quyen, Nguyen, Ngoc-Hai, Dao, Quan, Phan, Hoang, Van-Linh, Ngo, Than, Khoat, Phung, Dinh, Metaxas, Dimitris N., Le, Trung
Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026)Conference
Exemplar-Free Continual Learning for State Space Models
Isaac Ning, Lee, Mahmoodi, Leila, Le, Trung, Harandi, Mehrtash
Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026)Conference
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
Tran, Minh-Tuan, Le, Xuan-May, Tran, Quan Hung, Harandi, Mehrtash, Phung, Dinh, Le, Trung
Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026)Conference
pH-Strips for Selective Forgetting: A Blunt but Fast Diagnostic Baseline for Machine Unlearning
Qian, Chengyao, Wu, Jing, Le, Trung, Phung, Dinh, Harandi, Mehrtash
Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026)Conference
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
Vuong, Hoang Tran, Le, Tue, Tran, Quyen, Van, Linh Ngo, Le, Trung
Proceedings of the AAAI Conference on Artificial IntelligenceConference
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
Chu, Xuan Minh, Nguyen, Tien-Phat, Ngo, Van Linh, Dinh, Viet Sang, Nguyen, Thi Ngoc Diep, Le, Trung
Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining
Phung, Gia Huy, Vu, Hai An, Truong, Minh-Phuc, Tran, Thang Duc, Ngo, Van Linh, Nguyen, Thanh Hong, Le, Trung
Findings of Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation
Pham, Khanh Chi, Dao, Quoc Phong, Nguyen, Thuat, Ngo, Van Linh, Le, Trung, Nguyen, Thanh Hong
Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation
Dao, Quoc Phong, Nguyen, Hoang Son, Pham, Khanh Chi, Ngo, Van Linh, Nguyen, Thi Ngoc Diep, Nguyen, Thien Huu, Le, Trung
Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
SRA: Span Representation Alignment for Large Language Model Distillation
Dao, Quoc Phong, Nguyen, Hoang Son, Pham, Khanh Chi, Nguyen, Tung, Ngo, Van Linh, Diep, Nguyen. Thi Ngoc, Le, Trung
Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents
Pham, Van Hung, Nguyen, Manh Hieu, Pham, Tran Tuan Khang, Le, Hai Nam, Ngo, Van Linh, Nguyen, Thi Ngoc Diep, Le, Trung
Findings of Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
RoNE: Robust Neurons Enable Internal Defenses Against Multimodal Jailbreak
Tran, Tung Lam, Phan, Hoang, Kanan, Christopher, Le, Trung
Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
Pham, Cuong, Hoang, Anh Dung, Nguyen, Cuong C., Le, Trung, Carneiro, Gustavo, Do, Thanh-Toan
Annual Meeting of the Association for Computational Linguistics (ACL 2026)Conference
HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
Le, Vinh, Hong Dang, Nguyen, Vu, Tu, Van, Linh Ngo, Nguyen, Duc Anh, Le, Trung
International Conference on Machine Learning (ICML 2026)Conference
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
Nguyen, Truong, Nguyen, Tien-Phat, Van, Linh Ngo, Nguyen, Duy Minh Ho, Doan, Khoa D., Le, Trung
International Conference on Machine Learning (ICML 2026)Conference
Causal-aware Anomaly Detection for Tabular Data Focus: Causal AI \& Tabular Data
Nguyen, Dang, Nguyen, Tu Anh Hoang, Le, Thuc Duy, Venkatesh, Svetha, Le, Trung, Gupta, Sunil
International Conference on Machine Learning (ICML 2026)Conference
f-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
Tran, Vuong Hoang, Ngo, Van Linh, Nguyen, Dang, Nguyen, Thin, Nguyen, Phuoc, Harandi, Mehrtash, Le, Trung
International Conference on Machine Learning (ICML 2026)Conference
Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?
Dhar, Joy, Pandey, Manish Kumar, Bozorgtabar, Behzad, Le, Trung, Yao, Lina et al.
International Conference on Machine Learning (ICML 2026)Conference
Diverse Image Priors for Black-box Data-free Knowledge Distillation
Vo, Tri-Nhan, Nguyen, Dang, Le, Trung, Do, Kien, Gupta, Sunil
International Conference on Computer Communication and the Internet (ICCCI 26)Conference
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
Xuan, Minh Chu, Nguyen, Tien-Phat, Van, Linh Ngo, Sang, Dinh Viet, Diep, Nguyen Thi Ngoc, Le, Trung
arXiv preprint arXiv:2605.03299Preprint
Efficient Test-Time Scaling for LLM-based Time Series Forecasting
Le, Xuan-May, Tran, Minh-Tuan, Luo, Ling, Aickelin, Uwe, Phung, Dinh, Le, Trung
SIGKDD Conference on Knowledge Discovery and Data Mining, 2026Conference
Selective Off-Policy Reference Tuning with Plan Guidance
Le, Duc Anh, Nguyen, Tien-Phat, Nguyen, Thien Huu, Van, Linh Ngo, Le, Trung
arXiv preprint arXiv:2605.11505Preprint
BSO: Safety Alignment Is Density Ratio Matching
Nguyen, Tien-Phat, Nguyen, Truong, Nguyen, Thin, Nguyen, Duy Minh Ho, Dinh, Ngoc-Thanh, Le, Trung
arXiv preprint arXiv:2605.12339Preprint
Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence
Nguyen, Tien-Phat, Nguyen, Truong, Truong, Minh-Phuc, Nguyen, Tuc, Bailey, James, Le, Trung
arXiv preprint arXiv:2605.13079Preprint
2025
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
Nguyen, Tuan, Nguyen, Van, Le, Trung, Zhao, He, Tran, Quan Hung, Phung, Dinh
WWW 2025: Workshop on Optimal Transport for Structured Data Modeling and GenerationConference
Promptdsi: Prompt-based rehearsal-free instance-wise incremental learning for document retrieval
Huynh, Tuan-Luc, Vu, Thuy-Trang, Wang, Weiqing, Wei, Yinwei, Le, Trung, Gasevic, Dragan, Li, Yuan-Fang, Do, Thanh-Toan
ECML PKDD 2025Conference
Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning
Tran, Quyen, Phan, Hoang, Le, Minh, Truong, Tuan, Phung, Dinh, Ngo, Linh, Nguyen, Thien, Ho, Nhat, Le, Trung
arXiv preprint arXiv:2410.04327Preprint
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
Tran, Minh-Tuan, Le, Trung, Le, Xuan-May, Cai, Jianfei, Harandi, Mehrtash, Phung, Dinh
arXiv preprint arXiv:2411.17046Preprint
Improved Training Technique for Latent Consistency Models
Dao, Quan, Doan, Khanh, Liu, Di, Le, Trung, Metaxas, Dimitris N.
International Conference on Learning Representations 2025 (ICLR 2025)Conference
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Le, Minh, Nguyen, Chau, Nguyen, Huy, Tran, Quyen, Le, Trung, Ho, Nhat
International Conference on Learning Representations 2025 (ICLR 2025)Conference
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
Bui, Anh Tuan, Vu, Thuy-Trang, Vuong, Long Tung, Le, Trung, Montague, Paul, Abraham, Tamas, Kim, Junae, Phung, Dinh
International Conference on Learning Representations 2025 (ICLR 2025)Conference
Boosting Multiple Views for pretrained-based Continual Learning
Tran, Quyen, Tran, Tung Lam, Doan, Khanh, Tran, Toan, Than, Khoat, Phung, Dinh, Le, Trung
International Conference on Learning Representations 2025 (ICLR 2025)Conference
Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction
Nguyen, Hoang Anh, Tran, Quyen, Nguyen, Thanh Xuan, Thi, Nguyen, Diep, Ngoc, Linh, Ngo, Nguyen, Thien Huu, Le, Trung
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025)Conference
Why Domain Generalization Fail? A View of Necessity and Sufficiency
Vuong, Long-Tung, Vo, Vy, Dang, Hien, Nguyen, Van-Anh, Do, Thanh-Toan, Harandi, Mehrtash, Le, Trung, Phung, Dinh
arXiv preprint arXiv:2502.10716Preprint
Erasing Undesirable Influence in Diffusion Models
Wu, Jing, Le, Trung, Hayat, Munawar, Harandi, Mehrtash
Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025)Conference
Enhancing Dataset Distillation via Non-Critical Region Refinement
Tran, Minh-Tuan, Le, Trung, Le, Xuan-May, Toan, Do, Phung, Dinh
Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025)Conference
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
Vuong, Long Tung, Phan, Hoang, Vo, Vy, Bui, Anh Tuan, Do, Thanh-Toan, Phung, Dinh, Le, Trung
Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025)Conference
Hiding and recovering knowledge in text-to-image diffusion models via learnable prompts
Bui, Anh Tuan, Doan, Khanh, Le, Trung, Montague, Paul, Abraham, Tamas, Phung, Dinh
ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and EfficacyConference
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
Nguyen, Van-Anh, Do, Thanh-Toan, Harandi, Mehrtash, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2504.03450Preprint
Improving Generalization with Flat Hilbert Bayesian Inference
Truong, Tuan, Tran, Quyen, Pham, Ngoc-Quan, Phung, Dinh, Ho, Nhat, Le, Trung
International Conference on Machine Learning (ICML 2025)Conference
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
Truong, Tuan, Pham, Ngoc-Quan, Tran, Quyen, Nguyen, Tan Minh, Phung, Dinh, Le, Trung
International Conference on Machine Learning (ICML 2025)Conference
RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
Truong, Tuan, Nguyen, Chau, Nguyen, Huy, Le, Minh, Le, Trung, Ho, Nhat
International Conference on Machine Learning (ICML 2025)Conference
HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization
Chen, Shangyu, Fang, Pengfei, Harandi, Mehrtash, Le, Trung, Cai, Jianfei, Phung, Dinh
Computer Vision and Image UnderstandingConference
DAViT: A domain-adapted vision transformer for automated pneumonia detection and explanation using chest X-ray images
Fu, Michael, Tantithamthavorn, Chakkrit, Le, Trung
IEEE AccessConference
Mutual-pairing data augmentation for fewshot continual relation extraction
Anh, Nguyen Hoang, Tran, Quyen, Nguyen, Thanh Xuan, Diep, Nguyen Thi Ngoc, Van, Linh Ngo, Nguyen, Thien Huu, Le, Trung
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)Conference
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
Phan, Hoang, Tran, Tung Lam, Tran, Quyen, Tran, Ngoc, Truong, Tuan, Qi, Lei, Ho, Nhat, Dinh, Phung, Le, Trung
International Conference on Computer Vision (ICCV 2025)Conference
A Good Teacher Adapts Their Knowledge for Distillation
Qian, Chengyao, Le, Trung, Harandi, Mehrtash
International Conference on Computer Vision (ICCV 2025)Conference
Improved Training Technique for Latent Consistency Models
Dao, Minh Quan, Doan, Khanh, Liu, Di, Le, Trung, Metaxas, Dimitris
International Conference on Learning RepresentationsConference
Multi-Surrogate-Objective Optimization for Neural Topic Models
Le, Tue, Tran Vuong, Hoang, Nguyen, Tung, Ngo Van, Linh, Dinh, Sang, Le, Trung, Nguyen, Huu, Thien
Empirical Methods in Natural Language Processing (2025)Conference
MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
Huynh, Tuan-Luc, Vu, Thuy-Trang, Wang, Weiqing, Le, Trung, Gasevic, Dragan, Li, Yuan-Fang, Do, Thanh-Toan
Empirical Methods in Natural Language Processing (2025)Conference
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments
Truong, Minh Phuc, Vu, Hai An, Vu, Tu, Thi Ngoc Diep, Nguyen, Ngo Van, Linh, Nguyen, Thien Huu, Le, Trung
Empirical Methods in Natural Language Processing (2025)Conference
XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
Nguyen, Tien Phat, Ngo, Vu Minh, Nguyen, Tung, Ngo Van, Linh, Nguyen, Duc Anh, Dinh, Sang, Le, Trung
Empirical Methods in Natural Language Processing (2025)Conference
DeepVulMatch: Learning and Matching Latent Vulnerability Representations for Dual-Granularity Vulnerability Detection
Michael, Fu, Van, Nguyen, Chakkrit (Kla), Tantithamthavorn, Trung, Le, Dinh, Phung
IEEE Transactions on ReliabilityJournal
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
Luo, Haocheng, Harandi, Mehrtash, Phung, Dinh, Le, Trung
Conference on Neural Information Processing Systems (NeurIPS 2025)Conference
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
Nguyen, Van-Anh, Le, Trung, Harandi, Mehrtash, Abbasnejad, Ehsan, Do, Thanh-Toan, Phung, Dinh
Conference on Neural Information Processing Systems (NeurIPS 2025)Conference
Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
Le, Tue, Tran Vuong, Hoang, Tran, Quyen, Ngo Van, Linh, Harandi, Mehrtash, Le, Trung
Conference on Neural Information Processing Systems (NeurIPS 2025)Conference
PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval
Huynh, Tuan-Luc, Vu, Thuy-Trang, Wang, Weiqing, Wei, Yinwei, Le, Trung, Gasevic, Dragan, Li, Yuan-Fang, Do, Thanh-Toan
Joint European Conference on Machine Learning and Knowledge Discovery in DatabasesConference
Cot2align: Cross-chain of thought distillation via optimal transport alignment for language models with different tokenizers
Le, Anh Duc, Vu, Tu, Hai, Nam Le, Diep, Nguyen Thi Ngoc, Van, Linh Ngo, Le, Trung, Nguyen, Thien Huu
arXiv preprint arXiv:2502.16806Preprint
Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
Pham, Cuong, Dung, Hoang Anh, Nguyen, Cuong C, Le, Trung, Carneiro, Gustavo, Cai, Jianfei, Do, Thanh-Toan
arXiv preprint arXiv:2511.17809Preprint
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping
Le, Tue, Van, Linh Ngo, Le, Trung
arXiv preprint arXiv:2511.00066Preprint
XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
Phat Nguyen, Tien, Ngo, Vu Minh, Nguyen, Tung, Van Ngo, Linh, Nguyen, Duc Anh, Dinh, Sang, Le, Trung
arXiv e-printsPreprint
2024
Frequency attention for knowledge distillation
Pham, Cuong, Nguyen, Van-Anh, Le, Trung, Phung, Dinh, Carneiro, Gustavo, Do, Thanh-Toan
Proceedings of the IEEE/CVF winter conference on applications of computer visionConference
DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition
Gupta, Parul, Nguyen, Tuan, Dhall, Abhinav, Hayat, Munawar, Le, Trung, Do, Thanh-Toan
European Conference on Computer VisionConference
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Tran, Minh-Tuan, Le, Trung, Le, Xuan-May, Harandi, Mehrtash, Phung, Dinh
Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024)Conference
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
Minh-Tuan, Tran, Le, Trung, Le, Xuan-May, Harandi, Mehrtash, Tran, Quan Hung, Phung, Dinh
Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024)Conference
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection
Nguyen, Van, Le, Trung, Tantithamthavorn, Chakkrit (Kla), Grundy, John, Phung, Dinh
Transactions on Software Engineering and MethodologyJournal
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vo, Vy, Le, Trung, Vuong, Long Tung, Zhao, He, Bonilla, Edwin V., Phung, Dinh
International Conference on Machine Learning (ICML 2024)Conference
Optimal Transport for Structure Learning Under Missing Data
Vo, Vy, Zhao, He, Le, Trung, Bonilla, Edwin V., Phung, Dinh
International Conference on Machine Learning (ICML 2024)Conference
Sharpness-Aware Data Generation for Zero-shot Quantization
Anh Dung, Hoang, Pham, Cuong, Le, Trung, Cai, Jianfei, Do, Thanh-Toan
International Conference on Machine Learning (ICML 2024)Conference
Agnostic Sharpness-Aware Minimization
Nguyen, Van-Anh, Tran, Quyen, Truong, Tuan, Do, Thanh-Toan, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2406.07107Preprint
Enhancing Domain Adaptation through Prompt Gradient Alignment
Phan, Hoang, Tran, Lam, Tran, Quyen, Le, Trung
Thirty-eight Conference on Neural Information Processing Systems (NeurIPS 2024)Conference
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Pham, Cuong, Hoang, Dung, Nguyen, Cuong C., Le, Trung, Phung, Dinh, Carneiro, Gustavo, Do, Thanh-Toan
European Conference on Computer Vision 2024 (ECCV 2024)Conference
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
Tran, Quyen, Xuan Thanh, Nguyen, Hoang Anh, Nguyen, Nam Hai, Le, Le, Trung, Ngo, Linh Van, Nguyen, Thien Huu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)Conference
Explicit Eigenvalue Reguralization Improves Sharpness-Aware Minimization
Luo, Haocheng, Truong, Tuan, Pham, Tung, Harandi, Mehrtash, Phung, Dinh, Le, Trung
Thirty-eight Conference on Neural Information Processing Systems (NeurIPS 2024)Conference
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Vuong, Long Tung, Bui, Anh Tuan, Doan, Khanh, Le, Trung, Montague, Paul, Abraham, Tamas, Phung, Dinh
Thirty-eight Conference on Neural Information Processing Systems (NeurIPS 2024)Conference
Optimal Transport Theory for Machine Learning with Limited and Less Labels
Le, Trung, Phung, Dinh, Zhao, He
articleConference
2023
Global-Local Regularization Via Distributional Robustness
Phan, Hoang, Le, Trung, Phung, Trung, Bui, Tuan Anh, Ho, Nhat, Phung, Dinh
International Conference on Artificial Intelligence and Statistics (AISTATS) 2023Conference
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Vo, Vy, Nguyen, Van, Le, Trung, Tran, Quan Hung, Haffari, Gholamreza, Camtepe, Seyit, Phung, Dinh
International Conference on Representation Learning (ICLR) 2023Conference
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Vo, Vy, Le, Trung, Nguyen, Van, Zhao, He, Bonilla, Edwin, Haffari, Gholamreza, Phung, Dinh
29th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD) 2023Conference
Adversarial local distribution regularization for knowledge distillation
Nguyen-Duc, Thanh, Le, Trung, Zhao, He, Cai, Jianfei, Phung, Dinh
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer VisionConference
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Bui, Anh, Le, Trung, Zhao, He, Tran, Quan, Montague, Paul, Phung, Dinh
Transactions on Machine Learning Research (TMLR)Journal
Vector Quantized Wasserstein Auto-Encoder
Vuong, Tung-Long, Le, Trung, Zhao, He, Zheng, Chuanxia, Harandi, Mehrtash, Cai, Jianfei, Phung, Dinh
Proceedings of the 40th International Conference on Machine Learning (ICML) 2023Conference
Flat Seeking Bayesian Neural Networks
Nguyen, Van-Anh, Vuong, Tung-Long, Phan, Hoang, Do, Thanh-Toan, Phung, Dinh, Le, Trung
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)Conference
Hyperbolic geometry in computer vision: A survey
Fang, Pengfei, Harandi, Mehrtash, Le, Trung, Phung, Dinh
arXiv preprint arXiv:2304.10764Preprint
Sharpness \& shift-aware self-supervised learning
Tran, Ngoc N, Duong, Son, Phan, Hoang, Pham, Tung, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2305.10252Preprint
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
Fu, Michael, Tantithamthavorn, Chakkrit (Kla), Le, Trung, Kume, Yuki, Nguyen, Van, Phung, Dinh, Grundy, John
Empirical Software EngineeringConference
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation
Nguyen, Thanh, Le, Trung, Bammer, Roland, Zhao, He, Cai, Jianfei, Phung, Dinh
Medical Image Computing and Computer-Assisted Intervention 2023Conference
Optimal Transport Model Distributional Robustness
Nguyen, Van-Anh, Le, Trung, Bui, Anh Tuan, Do, Thanh-Toan, Phung, Dinh
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)Conference
Learning to quantize vulnerability patterns and match to locate statement-level vulnerabilities
Fu, Michael, Le, Trung, Nguyen, Van, Tantithamthavorn, Chakkrit, Phung, Dinh
arXiv preprint arXiv:2306.06109Preprint
VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types
Fu, Michael, Tantithamthavorn, Chakkrit (Kla), Nguyen, Van, Le, Trung, Phung, Dinh
IEEE Transactions on Software EngineeringJournal
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
Pham, Cuong, Nguyen, Cuong C., Le, Trung, Phung, Dinh, Carneiro, Gustavo, Do, Thanh-Toan
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)Conference
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization
Truong, Tuan, Nguyen, Hoang-Phi, Pham, Tung, Tran, Minh-Tuan, Harandi, Mehrtash, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2309.17215Preprint
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?
Fu, Michael, Tantithamthavorn, Chakkrit (Kla), Nguyen, Van, Le, Trung
Proceedings of 30th Asia-Pacific Software Engineering Conference (APSEC 2023)Conference
Vision Transformer-Inspired Automated Vulnerability Repair
Fu, Michael, Nguyen, Van, Tantithamthavorn, Chakkrit (Kla), Phung, Dinh, Le, Trung
ACM Transactions on Software Engineering and MethodologyJournal
Robust Contrastive Learning With Theory Guarantee
Tran, Ngoc N, Tran, Lam, Phan, Hoang, Bui, Anh, Pham, Tung, Tran, Toan, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2311.09671Preprint
Koppa: Improving prompt-based continual learning with key-query orthogonal projection and prototype-based one-versus-all
Tran, Quyen, Phan, Hoang, Tran, Lam, Than, Khoat, Tran, Toan, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2311.15414Preprint
Class-prototype conditional diffusion model for continual learning with generative replay
Doan, Khanh, Tran, Quyen, Nguyen, Tuan, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2312.06710Preprint
Class-prototype conditional diffusion model with gradient projection for continual learning
Doan, Khanh, Tran, Quyen, Tran, Tung Lam, Nguyen, Tuan, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2312.06710Preprint
Improving prompt-based continual learning with key-query orthogonal projection and prototype-based one-versus-all
Tran, Quyen, Tran, Tung Lam, Than, Khoat, Tran, Toan, Phung, Dinh, Le, Trung
articleConference
2022
Regvd: Revisiting graph neural networks for vulnerability detection
Nguyen, Van-Anh, Nguyen, Dai Quoc, Nguyen, Van, Le, Trung, Tran, Quan Hung, Phung, Dinh
Proceedings of the ACM/IEEE 44th international conference on software engineering: Companion proceedingsConference
Improving kernel online learning with a snapshot memory
Le, Trung, Nguyen, Khanh, Phung, Dinh
Machine LearningConference
Cross project software vulnerability detection via domain adaptation and max-margin principle
Nguyen, Van, Le, Trung, Tantithamthavorn, Chakkrit, Grundy, John, Nguyen, Hung, Phung, Dinh
arXiv preprint arXiv:2209.10406Preprint
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Bui, Anh Tuan, Le, Trung, Tran, Quan Hung, Zhao, He, Phung, Dinh
International on Learning Representation (ICLR) 2022Conference
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
Le, Trung, Bui, Anh Tuan, Le, Tue, Zhao, He, Montague, Paul, Tran, Quan Hung, Dinh, Phung
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022Conference
Particle-based Adversarial Local Distribution Regularization
Nguyen-Duc, Thanh, Le, Trung, Zhao, He, Cai, Jianfei, Phung, Dinh
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022Conference
Invertible residual network with regularization for effective volumetric segmentation
Yamazaki, Kashu, Rathour, Vidhiwar Singh, Le, T Hoang Ngan
Medical Imaging 2021: Image ProcessingConference
VulRepair: A T5-Based Automated Software Vulnerability Repair
Fu, Michael, Tantithamthavorn, Chakkrit, Le, Trung, Nguyen, Van, Phung, Dinh
In Proceedings of the Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) (2022)Conference
Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation
Nguyen, Tuan, Nguyen, Van, Le, Trung, Zhao, He, Tran, Quan Hung, Phung, Dinh
In the Proceedings of theUncertainty in Artificial Intelligence (UAI) 2022Conference
On Transportation of Mini-batches: A Hierarchical Approach
Nguyen, Khai, Nguyen, Dang, Nguyen, Quoc Dinh, Pham, Tung, Bui, Hung, Phung, Dinh, Le, Trung, Ho, Nhat
Proceedings of the 39th International Conference on Machine LearningConference
Stochastic Multiple Target Sampling Gradient Descent
Phan, Hoang, Tran, Ngoc, Le, Trung, Tran, Toan, Ho, Nhat, Phung, Dinh
Thirty-sixth Conference on Neural Information Processing Systems (2022)Conference
Vision transformer visualization: What neurons tell and how neurons behave?
Nguyen, Van-Anh, Dinh, Khanh Pham, Vuong, Long Tung, Do, Thanh-Toan, Tran, Quan Hung, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2210.07646Preprint
Continual learning with optimal transport based mixture model
Tran, Quyen, Phan, Hoang, Than, Khoat, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2211.16780Preprint
Multiple Perturbation Attack: Attack Pixelwise Under Different $$\backslash$ell\_p $-norms For Better Adversarial Performance
Tran, Ngoc N, Bui, Anh Tuan, Phung, Dinh, Le, Trung
arXiv preprint arXiv:2212.03069Preprint
Deep Generative Models for Learning from Multiple High-Dimensional Data Sources
Le, Trung
techreportConference
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Nguyen, Van, Le, Trung, Tantithamthavorn, Chakkrit, Fu, Michael, Grundy, John, Nguyen, Hung, Camtepe, Seyit, Quirk, Paul, Phung, Dinh
arXiv preprint arXiv:2209.10414Preprint
2021
Text generation with deep variational GAN
Hossam, Mahmoud, Le, Trung, Papasimeon, Michael, Huynh, Viet, Phung, Dinh
arXiv preprint arXiv:2104.13488Preprint
Improving ensemble robustness by collaboratively promoting and demoting adversarial robustness
Bui, Anh Tuan, Le, Trung, Zhao, He, Montague, Paul, deVel, Olivier, Abraham, Tamas, Phung, Dinh
Proceedings of the AAAI Conference on Artificial IntelligenceConference
Explain2Attack: Text adversarial attacks via cross-domain interpretability
Hossam, Mahmoud, Le, Trung, Zhao, He, Phung, Dinh
2020 25th international conference on pattern recognition (ICPR)Conference
IMPROVING TEXT BLACK-BOX ADVERSARIAL ATTACKS USING TARGET MODEL INFORMATION
Hossam, Mahmoud, Le, Trung, Zhao, He, Huynh, Viet, Phung, Dinh
Workshop on Robust and Reliable Machine Learning in the Real World (RobustML)Conference
Improved and Efficient Text Adversarial Attacks using Target Information
Hossam, Mahmoud, Le, Trung, Zhao, He, Huynh, Viet, Phung, Dinh
arXiv preprint arXiv:2104.13484Preprint
Understanding and achieving efficient robustness with adversarial supervised contrastive learning
Bui, Anh, Le, Trung, Zhao, He, Montague, Paul, Camtepe, Seyit, Phung, Dinh
arXiv preprint arXiv:2101.10027Preprint
Lamda: Label matching deep domain adaptation
Le, Trung, Nguyen, Tuan, Ho, Nhat, Bui, Hung, Phung, Dinh
Proceedings of the 38th International Conference on Machine Learning (ICML) 2021Conference
Most: Multi-source domain adaptation via optimal transport for student-teacher learning
Nguyen, Tuan, Le, Trung, Zhao, He, Tran, Quan Hung, Nguyen, Truyen, Phung, Dinh
Uncertainty in Artificial IntelligenceConference
Tidot: A teacher imitation learning approach for domain adaptation with optimal transport
Nguyen, Tuan, Le, Trung, Dam, Nhan, Tran, Quan Hung, Nguyen, Truyen, Phung, Dinh
International Joint Conference on Artificial Intelligence 2021Conference
Information-theoretic source code vulnerability highlighting
Nguyen, Van, Le, Trung, De Vel, Olivier, Montague, Paul, Grundy, John, Phung, Dinh
2021 International Joint Conference on Neural Networks (IJCNN)Conference
Stem: An approach to multi-source domain adaptation with guarantees
Nguyen, Van-Anh, Nguyen, Tuan, Le, Trung, Tran, Quan Hung, Phung, Dinh
Proceedings of the IEEE/CVF International Conference on Computer VisionConference
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Phung, Quoc Trung, Le, Trung, Vuong, Long Tung, Tran, Toan, Tran, Tuan Anh, Bui, Hung, Phung, Dinh
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)Conference
On label shift in domain adaptation via wasserstein distance
Le, Trung, Do, Dat, Nguyen, Tuan, Nguyen, Huy, Bui, Hung, Ho, Nhat, Phung, Dinh
arXiv preprint arXiv:2110.15520Preprint
Offset curves loss for imbalanced problem in medical segmentation
Le, Ngan, Le, Trung, Yamazaki, Kashu, Bui, Toan, Luu, Khoa, Savides, Marios
2020 25th International Conference on Pattern Recognition (ICPR)Conference
Roughness index and roughness distance for benchmarking medical segmentation
Rathour, Vidhiwar Singh, Yamakazi, Kashu, Le, T
arXiv preprint arXiv:2103.12350Preprint
Palladium nanoparticles in situ synthesized on Cyclea barbata pectin as a heterogeneous catalyst for Heck coupling in water, the reduction of nitrophenols and alkynes
Le, Van-Dung, Le, T Cam-Huong, Chau, Van-Trung, Le, T Ngoc-Duyen, Dang, Chi-Hien, Vo, T To-Nguyen, Nguyen, Trinh Duy, Nguyen, Thanh-Danh
New Journal of ChemistryJournal
2020
Code action network for binary function scope identification
Nguyen, Van, Le, Trung, Le, Tue, Nguyen, Khanh, Vel, Olivier de, Montague, Paul, Grundy, John, Phung, Dinh
Pacific-Asia Conference on Knowledge Discovery and Data MiningConference
Improving adversarial robustness by enforcing local and global compactness
Bui, Anh, Le, Trung, Zhao, He, Montague, Paul, deVel, Olivier, Abraham, Tamas, Phung, Dinh
European Conference on Computer VisionConference
OptiGAN: Generative adversarial networks for goal optimized sequence generation
Hossam, Mahmoud, Le, Trung, Huynh, Viet, Papasimeon, Michael, Phung, Dinh
2020 International Joint Conference on Neural Networks (IJCNN)Conference
Deep cost-sensitive kernel machine for binary software vulnerability detection
Nguyen, Tuan, Le, Trung, Nguyen, Khanh, Vel, Olivier de, Montague, Paul, Grundy, John, Phung, Dinh
Pacific-Asia conference on knowledge discovery and data miningConference
Dual-component deep domain adaptation: A new approach for cross project software vulnerability detection
Nguyen, Van, Le, Trung, De Vel, Olivier, Montague, Paul, Grundy, John, Phung, Dinh
Pacific-Asia Conference on Knowledge Discovery and Data MiningConference
Neural Sinkhorn Topic Model.
Zhao, He, Phung, Dinh, Huynh, Viet, Le, Trung, Buntine, Wray L
International Conference on Representation Learning (ICLR) 2020Conference
Stein variational gradient descent with variance reduction
Dam, Nhan, Le, Trung, Huynh, Viet, Phung, Dinh
2020 International Joint Conference on Neural Networks (IJCNN)Conference
Code Pointer Network for Binary Function Scope Identification
Nguyen, Van, Le, Trung, Le, Tue, Nguyen, Khanh, de Vel, Olivier, Montague, Paul, Phung, Dinh
2020 International Joint Conference on Neural Networks (IJCNN)Conference
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images.
Zhao, He, Le, Trung, Montague, Paul, de Vel, Olivier Y, Abraham, Tamas, Phung, Dinh
CoRRConference
Explain by evidence: An explainable memory-based neural network for question answering
Tran, Quan, Dam, Nhan, Lai, Tuan, Dernoncourt, Franck, Le, Trung, Le, Nham, Phung, Dinh
Proceedings of the 28th International Conference on Computational Linguistics (2020)Conference
Parameterized rate-distortion stochastic encoder
Hoang, Quan, Le, Trung, Phung, Dinh
International Conference on Machine LearningConference
Robust Variational Learning for Multiclass Kernel Models with Stein Refinement
Nguyen, Khanh, Le, Trung, Nguyen, Tu, Webb, Geoffrey, Phung, Dinh
IEEE Transactions on Knowledge and Data EngineeringJournal
Factors affecting teachers’ behavioral intention of using information technology in lecturing-economic universities
Pham, Thi Bich Thu, Dang, Lan Anh, Le, Thi Minh Hue, Le, Thi Hong
Management Science LettersConference
The effect of corporate social responsibility on performance in Nam Dinh seafood enterprises
Vu, T, Tran, H, Le, T, Nguyen, H
Management Science LettersConference
The impact of capital structure on the performance of construction companies: A study from Vietnam stock exchanges
Vu, T, Le, T, Nguyen, T
AccountingConference
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks
Zhao, He, Nguyen, Thanh, Le, Trung, Montague, Paul, De Vel, Olivier, Abraham, Tamas, Phung, Dinh
arXiv preprint arXiv:2010.06131Preprint
2019
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
Le, Tue, Nguyen, Tuan, Le, Trung, Montague, Paul, De Vel, Olivier, Qu, Lizhen, Phung, Dinh
In International Conference on Learning Representations (ICLR) 2019Conference
When can neural networks learn connected decision regions?
Le, Trung, Phung, Dinh
arXiv preprint arXiv:1901.08710Preprint
Learning Generative Adversarial Networks from Multiple Data Sources
Le, Trung, Hoang, Quan, Vu, Hung, Nguyen, Tu Dinh, Bui, Hung, Phung, DInh
International Joint Conference on Artificial Intelligence 2019Conference
Three-Player Wasserstein GAN via Amortised Duality
Dam, Nhan, Hoang, Quan, Le, Trung, Nguyen, Tu Dinh, Bui, Hung, Phung, DInh
International Joint Conference on Artificial Intelligence 2019Conference
Deep Domain Adaptation for Vulnerable Code Function Identification
Nguyen, Van, Le, Trung, Le, Tue, Nguyen, Khanh, DeVel, Olivier, Montague, Paul, Qu, Lizhen, Phung, Dinh
Int. Joint Conf. on Neural Networks (IJCNN) 2019Conference
Perturbations are not enough: Generating adversarial examples with spatial distortions
Zhao, He, Le, Trung, Montague, Paul, De Vel, Olivier, Abraham, Tamas, Phung, Dinh
arXiv preprint arXiv:1910.01329Preprint
2018
MGAN: Training Generative Adversarial Nets with Multiple Generators
Quan, Hoang, Tu Dinh, Nguyen, Trung, Le, Dinh, Phung
In International Conference on Learning Representation (ICLR) 2018Conference
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data
Nguyen, Khanh, Le, Trung, Nguyen, Tu, Phung, Dinh, Webb, Geoffrey I.
In Proc. of the 24th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD)Conference
Geometric Enclosing Networks
Le, Trung, Vu, Hung, Nguyen, Tu, Phung, Dinh
In Proc. of International Joint Conference on Artificial Intelligence (IJCAI)Conference
GoGP: Scalable Geometric-based Gaussian Process for Online Regression
Le, Trung, Nguyen, Khanh, Nguyen, Vu, Nguyen, Tu, Phung, Dinh
Knowledge and Information Systems(KAIS) journalJournal
Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web
Nguyen, Hung, Nguyen, Van, Nguyen, Thin, Larsen, Mark E, O’Dea, Bridianne, Nguyen, Duc Thanh, Le, Trung, Phung, Dinh, Venkatesh, Svetha, Christensen, Helen
International Conference on Web Information Systems EngineeringConference
Robust Anomaly Detection in Videos using Multilevel Representations
Vu, Hung, Nguyen, Tu, Le, Trung, Wei, Luo, Phung, Dinh
In 33rd AAAI Conference on Artificial Intelligence (AAAI 2019)Conference
Batch Normalized Deep Boltzmann Machines
Vu, Hung, Nguyen, Tu, Le, Trung, Wei, Luo, Phung, Dinh
In Asian Conference on Machine LearningConference
Clustering Induced Kernel Learning
Nguyen, Khanh, Le, Trung, Nguyen, Tu, Phung, Dinh
In Asian Conference on Machine LearningConference
Bayesian multi-hyperplane machine for pattern recognition
Nguyen, Khanh, Le, Trung, Dinh, Tu Nguyen, Phung, Dinh
2018 24th International Conference on Pattern Recognition (ICPR)Conference
Development and face validation of a Virtual Reality Epley Maneuver System (VREMS) for home Epley treatment of benign paroxysmal positional vertigo: A randomized, controlled trial
Tabanfar, Reza, Chan, Harley HL, Lin, Vincent, Le, Trung, Irish, Jonathan C
American journal of otolaryngologyJournal
2017
Large-scale Online Kernel Learning with Random Feature Reparameterization
Nguyen, Tu Dinh, Le, Trung, Bui, Hung, Phung, Dinh
In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI)Conference
Discriminative Bayesian Nonparametric Clustering
Nguyen, Vu, Phung, Dinh, Le, Trung, Venkatesh, Svetha, Bui, Hung
In Proc. of International Joint Conference on Artificial Intelligence (IJCAI)Conference
Approximation Vector Machines for Large-scale Online Learning
Le, Trung, Nguyen, Tu Dinh, Nguyen, Vu, Phung, Dinh
Journal of Machine Learning Research (JMLR)Journal
Supervised Restricted Boltzmann Machines
Nguyen, Tu Dinh, Phung, Dinh, Huynh, Viet, Le, Trung
In 33rd Conference on Uncertainty in Artificial Intelligence (UAI)Conference
GoGP: Fast Online Regression with Gaussian Processes
Le, Trung, Nguyen, Khanh, Nguyen, Vu, Tu Dinh, Nguyen, Phung, Dinh
In International Conference on Data Mining (ICDM 17)Conference
Dual Discriminator Generative Adversarial Nets
Nguyen, Tu Dinh, Le, Trung, Vu, Hung, Phung, Dinh
In Advances in Neural Information Processing (NIPS) 2017Conference
Analogical-based Bayesian Optimization
Le, Trung, Nguyen, Khanh, Nguyen, Tu Dinh, Phung, Dinh
arXiv preprint arXiv:1709.06390Preprint
Scalable support vector clustering using budget
Pham, Tung, Le, Trung, Dang, Hang
arXiv preprint arXiv:1709.06444Preprint
KGAN: how to break the minimax game in GAN
Le, Trung, Nguyen, Tu Dinh, Phung, Dinh
arXiv preprint arXiv:1711.01744Preprint
Medicine and Surgery
Tabanfar, Reza, Chan, Harley HL, Lin, Vincent, Le, Trung, Irish, Jonathan C
articleConference
Validation of Wireless Wearable Electrocardiogram System for Real-Time Ambulatory Cardiac Monitoring
Cu, Huy, Nguyen, Tuan, Nguyen, Tam, Le, Trung, Vo Van, Toi
International Conference on the Development of Biomedical Engineering in VietnamConference
Time series forecasting for healthcare diagnosis and prognostics with the focus on cardiovascular diseases
Bui, C, Pham, N, Vo, Anh, Tran, A, Nguyen, A, Le, Trung
International conference on the development of biomedical engineering in VietnamConference
Electrophysiological modeling in generalized epilepsy using surface EEG and anatomical brain structures
Tran, Q, Le, T, Le, CH, Vo Van, T
International Conference on the Development of Biomedical Engineering in VietnamConference
2016
Sparse Adaptive Multi-Hyperplane Machine
Nguyen, Khanh, Le, Trung, Nguyen, Vu, Phung, Dinh
PAKDDConference
Nonparametric Budgeted Stochastic Gradient Descent
Le, Trung, Nguyen, Vu, Nguyen, Dinh-Tu, Phung, Dinh
The 19th International Conference on Artificial Intelligence and Statistics (AISTATS)Conference
Fast Support Vector Clustering
Pham, Tung, Dang, Hang, Le, Trung, Le, Thai Hoang
Vietnam Journal of Computer Science (VJCS)Journal
Fuzzy Kernel Stochastic Gradient Descent Machines
Nguyen, Tuan, Duong, Phuong, Le, Trung, Le, Anh, Ngo, Viet, Tran, Dat, Ma, Wanli
IJCNNConference
Fast Kernel-based Method for Anomaly Detection
Le, Anh, Le, Trung, Nguyen, Khanh, Nguyen, Van, Le, Thai Hoang, Tran, Dat
International Joint Conference on Neural NetworksConference
Mixture of Hyperspheres for Novelty Detection
Nguyen, Duy, Lai, Vinh, Nguyen, Khanh, Le, Trung
Vietnam Journal of Computer ScienceJournal
Budgeted Semi-supervised Support Vector Machine
Le, Trung, Duong, Phuong, Dinh, Mi, Nguyen, Tu Dinh, Nguyen, Vu, Phung, Dinh
32th Conference on Uncertainty in Artificial IntelligenceConference
Multiple Kernel Learning with Data Augmentation
Nguyen, Khanh, Le, Trung, Nguyen, Vu, Nguyen, Tu Dinh, Phung, Dinh
Proceedings of the 8th Asian Conference on Machine Learning (ACML 2016)Conference
Distributed Data Augmented Support Vector Machine on Spark
Nguyen, Tu, Nguyen, Vu, Le, Trung, Phung, Dinh
Proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016)Conference
Dual Space Gradient Descent for Online Learning
Le, Trung, Nguyen, Tu Dinh, Nguyen, Vu, Phung, Dinh
In Advances in Neural Information Processing (NIPS) 2016Conference
One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems
Nguyen, Vu, Nguyen, Tu Dinh, Le, Trung, Phung, Dinh, Venkatesh, Svetha
Proceedings of the IEEE International Conference on Data Mining (ICDM) 2016Conference
Scalable Semi-supervised Learning with Graph-based Kernel Machine
Le, Trung, Nguyen, Khanh, Nguyen, Van, Nguyen, Vu, Phung, Dinh
arXiv preprint arXiv:1606.06793Preprint
Graph-based Kernel Machine for Scalable Semi-supervised Learning
Le, Trung, Nguyen, Khanh, Nguyen, Van, Nguyen, Vu, Phung, Dinh
arXiv preprint arXiv:1606.06793Preprint
2015
Graph-based semi-supervised Support Vector Data Description for novelty detection
Duong, Phuong, Nguyen, Van, Dinh, Mi, Le, Trung, Tran, Dat, Ma, Wanli
IJCNNConference
Least square Support Vector Machine for large-scale dataset
Nguyen, Khanh, Le, Trung, Lai, Vinh, Nguyen, Duy, Tran, Dat, Ma, Wanli
IJCNNConference
Fast One-Class Support Vector Machine for Novelty Detection
Le, Trung, Phung, Dinh, Nguyen, Khanh, Venkatesh, Svetha
PAKDDConference
Stochastic gradient descent support vector clustering
Pham, Tung, Dang, Hang, Le, Trung, Le, Hoang-Thai
NICSConference
Mixture of Support Vector Data Descriptions
Lai, Vinh, Nguyen, Duy, Nguyen, Khanh, Le, Trung
NICSConference
Large Sample Asymptotic for Nonparametric Mixture Model with Count Data
Nguyen, Vu, Phung, Dinh, Le, Trung, Venkatesh, Svetha
NIPS WorkshopConference
Fast One-class Support Vector Machine
Le, Trung, Phung, Dinh, Nguyen, Khanh, Svetha, Venkatesh
ICML WorkshopConference
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study
Cheng, Changqing, Sa-Ngasoongsong, Akkarapol, Beyca, Omer, Le, Trung, Yang, Hui, Kong, Zhenyu, Bukkapatnam, Satish TS
Iie TransactionsJournal
2014
Using EEG artifacts for BCI applications
Ma, Wanli, Tran, Dat, Le, Trung, Lin, Hong, Zhou, Shang-Ming
IJCNNConference
Kernel-based semi-supervised learning for novelty detection
Nguyen, Van, Le, Trung, Pham, Thien, Dinh, Mi, Le, Hoang-Thai
IJCNNConference
Robust Support Vector Machine
Le, Trung, Tran, Dat, Ma, Wanli, Pham, Thien, Duong, Phuong, Nguyen, Minh
International Joint Conference on Neural Networks, $\{$IJCNN$\}$ 2014Conference
Fuzzy Large Margin One-class Support Vector Machine for Novelty Detection
Le, Trung, Nguyen, Van, Duong, Phuong, Dinh, Mi, Ngo, Viet
NICSConference
Fuzzy Semi-supervised Large Margin One-Class Support Vector Machine
Le, Trung, Nguyen, Van, Pham, Thien, Dinh, Mi, Le, Thai Hoang
Some Current Advanced Researches on Information and Computer Science in VietnamJournal
Effects of temperature, doping and anisotropy of energy surfaces on behaviors of plasmons in graphene
Ho, S Ta, Le, H Anh, Le, T, Nguyen, D Chien, Do, V Nam
Physica E: Low-dimensional Systems and NanostructuresConference
DECARBURIZATION OF MOLTEN IRON UNDER REDUCED PRESSURE
Bui, Anh-Hoa, Le, Thanh-Hai, Nguyen, Bao-Trung
ASEAN Engineering JournalJournal
2013
Proximity multi-sphere support vector clustering
Le, Trung, Tran, Dat, Nguyen, Phuoc, Ma, Wanli, Sharma, Dharmendra
Neural Computing and ApplicationsConference
Maximal margin learning vector quantisation
Le, Trung, Tran, Dat, Nguyen, Van, Wanli, Ma
International Joint Conference on Neural NetworksConference
Fuzzy entropy semi-supervised support vector data description
Le, Trung, Tran, Dat, Tran, Tien, Nguyen, Khanh, Wanli, Ma
International Joint Conference on Neural NetworksConference
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM
Nguyen, Phuoc, Tran, Dat, Le, Trung, Huang, Xu, Wanli, Ma
PAKDDConference
Fuzzy Multi-Sphere Support Vector Data Description
Le, Trung, Tran, Dat, Wanli, Ma
PAKDDConference
Expression, purification, crystallization and preliminary X-ray diffraction analysis of a lactococcal bacteriophage small terminase subunit
Ren, Bin, Pham, Tam M, Surjadi, Regina, Robinson, Christine P, Le, T, Chandry, PScott, Peat, Thomas S, McKinstry, William J
Structural Biology and Crystallization CommunicationsConference
2012
Deterministic Annealing Multi-Sphere Support Vector Data Description
Le, Trung, Tran, Dat, Ma, Wanli, Dharmendra, Sharma
International Conference on Neural Information ProcessingConference
Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface
Le, Trung, Tran, Dat, Hoang, Tuan, Sharma, Dharmendra
ICONIPConference
Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems
Hoang, Tuan, Tran, Dat, Truong, Khoa, Le, Trung, Huang, Xu, Sharma, Dharmendra, Vo, Toi
ICONIPConference
A unified model for support vector machine and support vector data description
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
International Joint Conference on Neural Networks (IJCNN)Conference
Multi-sphere support vector data description for brain-computer interface
Nguyen, Phuoc, Tran, Dat, Le, Trung, Hoang, Tuan, Sharma, Dharmendra
2012 Fourth International Conference on Communications and Electronics (ICCE)Conference
Multi-modal Approach to Support Vector Machine and Support Vector Data Description
Le, Trung
University of CanberraConference
A unified model for support vector machine and support vector data description
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
Neural Networks (IJCNN), The 2012 International Joint Conference onConference
Fuzzy Multi-Sphere Support Vector Data Description: International Conference on Fuzzy Systems (FUZZ-IEEE)
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
WCCI 2012 IEEE World Congress on Computational IntelligenceConference
Memetic algorithm for a university course timetabling problem
Nguyen, Khang, Lu, Tien, Le, Trung, Tran, Nuong
Informatics in Control, Automation and Robotics: Volume 1Journal
2011
A Novel Parameter Refinement Approach to One Class Support Vector Machine
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
International Conference on Neural Information ProcessingConference
Multi-Sphere Support Vector Clustering
Le, Trung, Tran, Dat, Nguyen, Phuoc, Ma, Wanli, Sharma, Dharmendra
ICONIPConference
Multiple Distribution Data Description Learning Algorithm for Novelty Detection
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
PAKDDConference
Generalised support vector machine for brain-computer interface
Le, Trung, Tran, Dat, Hoang, Tuan, Ma, Wanli, Sharma, Dharmendra
International Conference on Neural Information ProcessingConference
2010
Enhancing Performance of SVM-Based Brain-Computer Interface System
Hoang, Tuan, Nguyen, Phuoc, Le, Trung, Tran, Dat, Sharma, Dharmendra
Austr. J. Intelligent Information Processing SystemsConference
A new support vector machine method for medical image classification
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
EUVIPConference
A Theoretical Framework for Multi-sphere Support Vector Data Description
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
ICONIPConference
An optimal sphere and two large margins approach for novelty detection
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dharmendra
IJCNNConference
Fuzzy support vector machines for age and gender classification
Nguyen, Phuoc, Le, Trung, Tran, Dat, Huang, Xu, Sharma, Dharmendra
INTERSPEECHConference
A New Fuzzy Membership Computation Method for Fuzzy Support Vector Machines
Le, Trung, Tran, Dat, Ma, Wanli, Sharma, Dhamendra
HUTICCEConference
2009
A Generic Framework for Soft Subspace Pattern Recognition
Tran, Dat, Wanli Ma, Dhamendra Sharma, Bui, Len, Le, Trung
Theory and Novel Applications of Machine LearningConference
Priority WatermarkingBased Face-Fingerprint Authentication System
Hoang, Tuan, Tran, Dat, Sharma, Dhamendra, Le, Trung, Bac Hoai Le
ICIMTConference
For the complete and most up-to-date list, see Google Scholar.