| 2026 |
ICLR |
rejected |
A Multi-Institutional Multimodal EEG Benchmark for Foundation Model Generalization and Early Neurological Diagnosis |
Phi Le Nguyen |
| 2026 |
ICLR |
rejected |
A Non-vacuous Test Error Guarantee for Deep Learning without Altering the Model |
Than Quang Khoat |
| 2026 |
ICLR |
rejected |
A Tight Error Bound for Deep Learning via Distribution and Loss Complexity |
Than Quang Khoat |
| 2026 |
ICLR |
accepted |
Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment |
Ngo Van Linh |
| 2026 |
ICLR |
accepted |
CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization |
Dung D. Le |
| 2026 |
ICLR |
rejected |
Cognitively Inspired Reflective Evolution: Interactive Multi-Turn LLM–EA Synthesis of Heuristics for Combinatorial Optimization |
Huynh Thi Thanh Binh, Nguyen Thi Hanh, Son Van Nguyen |
| 2026 |
ICLR |
rejected |
Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Quantification |
Phi Le Nguyen |
| 2026 |
ICLR |
desk-rejected |
Dimension-Adaptive MCTS: Optimal Sample Complexity for Continuous Action Planning |
Tuan Dam |
| 2026 |
ICLR |
rejected |
DistillMoE: Multi-Faceted Knowledge Distillation for Cross-Tokenizer Embedding Models |
Ngo Van Linh, Nguyen Thi Ngoc Diep |
| 2026 |
ICLR |
rejected |
Distributional Monte-Carlo Tree Search with Thompson Sampling in Stochastic Environments |
Tuan Dam |
| 2026 |
ICLR |
rejected |
Exploiting Client Heterogeneity for Forgetting Mitigation in Federated Continual Learning: A Spatio-Temporal Gradient Alignment Approach |
Dung D. Le |
| 2026 |
ICLR |
accepted |
FACET: A Fragment-Aware Conformer Ensemble Transformer |
Khoa D. Doan |
| 2026 |
ICLR |
rejected |
FedDTW: Federated Digital Twin Weighting for Mitigating Client Heterogeneity and Unreliable Connectivity |
Danh Le-Phuoc, Son Ha Xuan |
| 2026 |
ICLR |
rejected |
FLoRA-NA: Nearly Accurate Aggregation for Federated Low-Rank Adaptation |
Dung D. Le |
| 2026 |
ICLR |
rejected |
GraDA: Gradient-Guided Knowledge Distillation for Domain Adaptation |
Doanh Cao Bui |
| 2026 |
ICLR |
rejected |
Integrating Selective State-Space Models and Bayesian Graph Attention for Uncertainty-aware Time-Series Analysis |
Quang-Vinh Dang |
| 2026 |
ICLR |
accepted |
LCA: Local Classifier Alignment for Continual Learning |
Than Quang Khoat |
| 2026 |
ICLR |
rejected |
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP |
Dung D. Le |
| 2026 |
ICLR |
rejected |
Nonparametric Unsupervised Data Condensation for Gigapixel Histological Images |
Phi Le Nguyen, Minh Do, Thanh Trung Huynh |
| 2026 |
ICLR |
rejected |
OptSHAP: Explaining Dimensionality Reduction-based Models for Tabular Data via Optimization |
Thanh-Binh Nguyen |
| 2026 |
ICLR |
rejected |
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy |
Long Dao Van |
| 2026 |
ICLR |
rejected |
Reflecting and Linking knowledge: Dynamic Label Structures for Prompt-based Continual Learning |
Ngo Van Linh |
| 2026 |
ICLR |
desk-rejected |
Region in Context: Text-Conditioned Image Editing with Human-Like Semantic Reasoning |
Dinh-Cuong Hoang, Minhhuy Le |
| 2026 |
ICLR |
rejected |
SPKGDiag: Learning Symptom-Linked Patient Knowledge Graphs via Multi-Hop Similarity Message Passing for Automatic Diagnosis |
Cong-Tinh Dao, Hai Thanh Nguyen, Thao Nguyen Minh Phan |
| 2026 |
ICLR |
rejected |
STELAR: Dual-space training EEG Foundation Models for Transferable Representations |
Phi Le Nguyen |
| 2026 |
ICLR |
rejected |
SUSI: Semi-Structured Pruning for LLMs via Differentiable Subset Sampling |
Than Quang Khoat |
| 2026 |
ICLR |
rejected |
SyNC: Balancing Fidelity and Diversity of Synthetic Data Representations in CLIP-based Few-Shot Learning via Neural Collapse |
Dung D. Le |
| 2026 |
ICLR |
rejected |
The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models |
Khoa D. Doan, Binh T. Nguyen |
| 2026 |
ICLR |
rejected |
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks |
Binh T. Nguyen, Hong T.M. Chu |
| 2026 |
ICLR |
rejected |
Token Dynamics on Spheres in Mamba Models |
Hoang-Son Do |
| 2026 |
ICLR |
rejected |
Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models |
Ngo Van Linh |
| 2026 |
ICLR |
accepted |
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels |
Minh Do |
| 2026 |
ICLR |
desk-rejected |
VM14K: First Vietnamese Medical Benchmark |
Minh Tran |
| 2026 |
NeurIPS |
accepted unofficial |
BECON: Belief-Conditioned Constrained Multi-Objective Reinforcement Learning under Drifting Preferences and Budgets |
Huynh Thi Thanh Binh, Bui Trong Duc |
| 2026 |
NeurIPS |
accepted unofficial |
Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search |
Tuan Dam |
| 2026 |
NeurIPS |
accepted unofficial |
Birth-Death Structural Learning for 3D Gaussian Splatting |
Binh T. Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
COMPASS: Composable Policy-Amortized Structured Search for LLM-Based Optimization Modeling |
Huynh Thi Thanh Binh, Bui Trong Duc |
| 2026 |
NeurIPS |
accepted unofficial |
Conflict-Aware Logit Adapters for Utility-Preserving Anti-Distillation |
Ngo Van Linh |
| 2026 |
NeurIPS |
accepted unofficial |
Contrastive Hypergraph Source-free Domain Adaptive Object Detection in Adverse Weathers |
Danh Le-Phuoc |
| 2026 |
NeurIPS |
accepted unofficial |
ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss |
Uyen N.B. Vo, Thai Khanh Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs |
Phi Le Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
Decoding the Critique Mechanism in Large Reasoning Models |
Khoa D. Doan |
| 2026 |
NeurIPS |
accepted unofficial |
Disentangling Optimization Geometry via Hierarchical Polar Adapters for Class-Incremental Learning |
Quynh-Trang Pham Thi, Duc-Trong Le |
| 2026 |
NeurIPS |
accepted spotlight unofficial |
First-Token Attraction in Mamba Dynamics |
Hoang-Son Do |
| 2026 |
NeurIPS |
accepted unofficial |
Graph Topology Augmentation for Prioritized Sweeping in Non-stationary Reinforcement Learning |
Tuan Dam |
| 2026 |
NeurIPS |
accepted unofficial |
Graph-Based Stochastic-Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation |
Tuan Dam, Hoang Ta |
| 2026 |
NeurIPS |
accepted unofficial |
How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape |
Binh T. Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
Kernelized Activation Steering |
Than Quang Khoat |
| 2026 |
NeurIPS |
accepted unofficial |
Latent Abstraction for Retrieval-Augmented Generation |
Dung D. Le |
| 2026 |
NeurIPS |
accepted unofficial |
Learning in Policy Transparency Games: Wedge Structure and Adaptive Certification |
Tuan Do, Nguyen Tu Uyen |
| 2026 |
NeurIPS |
accepted unofficial |
MAGE: Towards Generalizable Multi-timescale EEG Representations |
Phi Le Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP |
Dung D. Le |
| 2026 |
NeurIPS |
accepted spotlight unofficial |
Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback |
Tuan Dam, Hoang Ta |
| 2026 |
NeurIPS |
accepted unofficial |
Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation |
Phi Le Nguyen, Thanh Trung Huynh |
| 2026 |
NeurIPS |
accepted unofficial |
On the Primacy Bias in RLVR Training |
Khoa D. Doan |
| 2026 |
NeurIPS |
accepted unofficial |
Probe-Guided Gradient Balancing for Multimodal Learning |
Thuy T. Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
Raw-Routed Mixture of Adapters: A Causal Intervention for Routing Collapse in Time Series Foundation Models |
Nhat-Quang Tran, Thuy T. Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
Rethinking Molecular Graph Backdoors under Chemistry-aware Admission |
Khoa D. Doan |
| 2026 |
NeurIPS |
accepted unofficial |
Selective Off-Policy Reference Tuning with Plan Guidance |
Ngo Van Linh |
| 2026 |
NeurIPS |
accepted unofficial |
Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits |
Tuan Dam |
| 2026 |
NeurIPS |
accepted unofficial |
Spectral Identifiability for World Models: Polynomial Projectors, Resolvent Stability, and a Krylov Bottleneck |
Tuan Do |
| 2026 |
NeurIPS |
accepted unofficial |
SympFNO: Structure-Preserving Fourier Neural Operators for Physical Surrogate Modeling |
Tuan Do, Long Hoang Dang |
| 2026 |
NeurIPS |
accepted unofficial |
The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models |
Khoa D. Doan, Binh T. Nguyen |
| 2026 |
NeurIPS |
accepted unofficial |
Trajectory-Matching Meta Pseudo-Labeling for Semi-Supervised Learning |
Dung D. Le |
| 2026 |
NeurIPS |
accepted unofficial |
Two-Clustering Regime of Token Dynamics in Causal Attention |
Hoang-Son Do |
| 2026 |
ICML |
accepted |
$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models |
Ngo Van Linh |
| 2026 |
ICML |
accepted |
Automatic Unsupervised Ensemble Outlier Model Selection |
Son Ha Xuan |
| 2026 |
ICML |
accepted spotlight |
Conservation Laws for Modern Neural Architectures |
Tuan Dam |
| 2026 |
ICML |
accepted |
Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm |
Phi Le Nguyen |
| 2026 |
ICML |
accepted |
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation |
Khoa D. Doan, An Thai Le |
| 2026 |
ICML |
accepted |
HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models |
Ngo Van Linh |
| 2026 |
ICML |
accepted oral |
MuonSSM: Orthogonalizing State Space Models for Sequence Modeling |
Cuong Pham, Uyen N.B. Vo |
| 2026 |
ICML |
accepted |
Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis |
Binh T. Nguyen |
| 2026 |
ICML |
accepted oral |
Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing |
Tuan Dam |
| 2026 |
ICML |
accepted |
The Fisher Dimension: Instance-Dependent Complexity for Causal Discovery |
Tuan Do |
| 2026 |
ICML |
accepted |
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching |
Ngo Van Linh, Khoa D. Doan |
| 2026 |
ICML |
accepted |
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments |
Tuan Dam, Hoang Ta |
| 2026 |
CVPR |
accepted |
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning |
Than Quang Khoat, Ngo Van Linh |
| 2026 |
CVPR |
accepted |
BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates |
Duc-Trong Le |
| 2026 |
CVPR |
accepted |
Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations |
Phi Le Nguyen |
| 2026 |
CVPR |
accepted |
BluRef: Unsupervised Image Deblurring with Dense-Matching References |
Cuong Pham |
| 2026 |
CVPR |
accepted |
Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression |
Dung D. Le |
| 2026 |
CVPR |
rejected |
Dual Strategies for Test-Time Adaptation |
Phi Le Nguyen |
| 2026 |
CVPR |
accepted |
HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation |
Khoa D. Doan, Thanh-Binh Nguyen |
| 2026 |
CVPR |
accepted |
InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting |
Cuong Pham |
| 2026 |
CVPR |
rejected |
Memory-Efficient Continual Learning with Prototypical Exemplar Condensation |
Dung D. Le |
| 2026 |
CVPR |
rejected |
Onboarding Without Forgetting: Hypernetwork Personalization with Data-Free Replay for Personalized Federated Learning |
Khoa D. Doan |
| 2026 |
CVPR |
rejected |
Overthinking Causes Hallucination: Tracing Confounder Propagation in Vision Language Models |
Phi Le Nguyen |
| 2026 |
CVPR |
rejected |
Phantasia: Context-Adaptive Backdoors in Vision Language Models |
Phi Le Nguyen |
| 2026 |
CVPR |
rejected |
SwiftPie: Lightning-Fast Subject-Driven Image Personalization via One Step Diffusion |
Cuong Pham |
| 2026 |
ECCV |
accepted |
AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation |
Minh Do |
| 2026 |
ECCV |
accepted |
Back-Tracking from Clarity: Self-Learning to See Text from Afar |
Phi Le Nguyen |
| 2026 |
ACL |
accepted |
An Information-Theoretic Foundation for the Subregular Hierarchy |
Tuan Do |
| 2026 |
ACL |
accepted |
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models |
Ngo Van Linh, Dinh Viet Sang, Nguyen Thi Ngoc Diep |
| 2026 |
ACL |
accepted |
MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation |
Ngo Van Linh |
| 2026 |
ACL |
accepted |
Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models |
Ngo Van Linh |
| 2026 |
ACL |
accepted |
Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework |
Phi Le Nguyen |
| 2026 |
ACL |
accepted |
SRA: Span Representation Alignment for Large Language Model Distillation |
Ngo Van Linh, Nguyen Thi Ngoc Diep |
| 2026 |
ACL |
accepted |
TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation |
Ngo Van Linh, Nguyen Thi Ngoc Diep |
| 2026 |
EMNLP |
accepted unofficial |
Assembling the CREW: A Collaborative Multi-agent Reinforcement Learning Framework for Automated Related Work Generation |
Huynh Thi Thanh Binh, Tran Thi Huong |
| 2026 |
EMNLP |
accepted unofficial |
Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion |
Huynh Quyet Thang |
| 2026 |
EMNLP |
rejected unofficial |
Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming |
Huynh Quyet Thang |
| 2026 |
EMNLP |
rejected unofficial |
ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback |
Huynh Thi Thanh Binh, Nguyen Thi Hanh |
| 2026 |
AAAI |
accepted |
Clean-Label Physical Backdoor Attacks with Data Distillation |
Khoa D. Doan |
| 2026 |
AAAI |
accepted |
GloCTM: Cross-Lingual Topic Modeling via a Global Context Space |
Ngo Van Linh, Nguyen Thi Ngoc Diep |
| 2026 |
AAAI |
accepted |
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models |
Ngo Van Linh |
| 2026 |
AAAI |
accepted |
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework |
Huynh Thi Thanh Binh |
| 2026 |
AAAI |
accepted |
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization |
Huynh Thi Thanh Binh |
| 2026 |
AAAI |
accepted |
Reinforce Trustworthiness in Multimodal Emotional Support System |
Thanh-Binh Nguyen |
| 2026 |
AAAI |
accepted |
VietCheckMed: Explainable Regulatory Compliance Checking for Medical Advertisements on Vietnamese Social Media |
Thanh-Binh Nguyen |
| 2026 |
IJCAI |
accepted |
Efficient Parallel Algorithms with Linear Queries for Non-Monotone Submodular Maximization |
Canh V. Pham, Tan D. Tran |
| 2026 |
IJCAI |
accepted |
Fairness k-Submodular Maximization Subject to Matroid Constraint |
Canh V. Pham, Tan D. Tran |
| 2025 |
ICLR |
rejected |
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation |
Khoa D. Doan, Minh Do |
| 2025 |
ICLR |
rejected |
Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective Optimization |
Ngoc Hoang Luong |
| 2025 |
ICLR |
accepted |
Boosting Multiple Views for pretrained-based Continual Learning |
Than Quang Khoat |
| 2025 |
ICLR |
rejected |
Boosting Parallel Algorithms in Linear Queries for Non-Monotone Submodular Maximization |
Canh V. Pham |
| 2025 |
ICLR |
rejected |
Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship |
Phi Le Nguyen |
| 2025 |
ICLR |
accepted |
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs |
Nam Le Hai |
| 2025 |
ICLR |
rejected |
ConceptFlow: Unified Framework for Personalized Image Generation |
Minh-Triet Tran |
| 2025 |
ICLR |
rejected |
Crafting Zero-Cost Proxy Metrics for Neural Architecture Search via Symbolic Regression |
Ngoc Hoang Luong, Quan Minh Phan |
| 2025 |
ICLR |
accepted |
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle |
Than Quang Khoat |
| 2025 |
ICLR |
desk-rejected |
Enhancement of In-Context Reasoning in LLMs through Inductive Rule Learning |
Nguyen Viet Ha |
| 2025 |
ICLR |
rejected |
Exploiting Hierarchical Taxonomies in Pretrained Continual Learning |
Ngo Van Linh |
| 2025 |
ICLR |
rejected |
Forget but Recall: Incremental Latent Rectification in Continual Learning |
Khoa D. Doan |
| 2025 |
ICLR |
rejected |
FROM LOW TO HIGH-VALUE DESIGNS: OFFLINE OPTIMIZATION VIA GENERALIZED DIFFUSION |
Phi Le Nguyen |
| 2025 |
ICLR |
rejected |
Improving Resistance to Noisy Label Fitting by Reweighting Gradient in SAM |
Minh-Triet Tran |
| 2025 |
ICLR |
rejected |
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Adaptive Importance Sampling |
Khoa D. Doan, Thanh-Binh Nguyen |
| 2025 |
ICLR |
accepted |
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions |
Phi Le Nguyen, Hieu Pham |
| 2025 |
ICLR |
rejected |
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator |
Khoa D. Doan, Danh Le-Phuoc, Thanh-Binh Nguyen |
| 2025 |
ICLR |
rejected |
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information |
Tien Vu-Van |
| 2025 |
ICLR |
rejected |
Rethinking Attentions in Zero-Shot Real Image Editing |
Minh-Triet Tran |
| 2025 |
ICLR |
rejected |
Risk-Aware Distributional Intervention Policies for Language Models |
Binh T. Nguyen |
| 2025 |
ICLR |
rejected |
Sparse Watermarking in LLMs with Enhanced Text Quality |
Khoa D. Doan |
| 2025 |
ICLR |
rejected |
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models |
Khoa D. Doan |
| 2025 |
ICLR |
rejected |
TOWARDS LAYER-WISE PERSONALIZED FEDERATED LEARNING: ADAPTIVE LAYER DISENTANGLEMENT VIA CONFLICTING GRADIENTS |
Van Duc Nguyen, Trinh Van Chien |
| 2025 |
ICLR |
rejected |
Unified Deep Discrete Representation Learning Framework |
Cuong Viet Ta |
| 2025 |
ICLR |
rejected |
Unveiling Concept Attribution in Diffusion Models |
Khoa D. Doan |
| 2025 |
ICLR |
rejected |
VisualCoder: Guiding Vision Language Models in Code Execution with Fine-grained Chain-of-Thought Reasoning |
Dung D. Le |
| 2025 |
ICLR |
accepted |
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks |
Khoa D. Doan |
| 2025 |
ICLR |
rejected |
Zero-shot Object-level Out-of-distribution Detection with Context-aware Inpainting |
Dung D. Le |
| 2025 |
NeurIPS |
accepted |
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random |
Thanh-Binh Nguyen |
| 2025 |
NeurIPS |
accepted |
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models |
Tran Thai Son |
| 2025 |
NeurIPS |
accepted |
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding |
Nhan-Phu Chung |
| 2025 |
NeurIPS |
accepted |
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation |
Canh V. Pham |
| 2025 |
NeurIPS |
accepted |
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? |
Khoa D. Doan |
| 2025 |
NeurIPS |
accepted |
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data |
Phi Le Nguyen, Thanh Trung Huynh |
| 2025 |
NeurIPS |
accepted |
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling |
Khoa D. Doan, An Mai, Thanh-Binh Nguyen |
| 2025 |
NeurIPS |
rejected |
Non-vacuous Bounds for the test error of Deep Learning without any change to the trained models |
Than Quang Khoat |
| 2025 |
NeurIPS |
accepted |
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning |
Tuan Dam |
| 2025 |
NeurIPS |
accepted |
Pseudo-Riemannian Graph Transformer |
Cuong Viet Ta |
| 2025 |
NeurIPS |
accepted spotlight |
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge |
Phi Le Nguyen |
| 2025 |
NeurIPS |
accepted |
Token-Level Self-Play with Importance-Aware Guidance for Large Language Models |
Ngo Van Linh |
| 2025 |
NeurIPS |
rejected |
TriggerCraft: A Framework for Enabling Scalable Physical Backdoor Dataset Generation with Generative Models |
Khoa D. Doan |
| 2025 |
NeurIPS |
accepted |
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems |
Nhan-Phu Chung |
| 2025 |
NeurIPS |
accepted |
Unveiling Concept Attribution in Diffusion Models |
Khoa D. Doan |
| 2025 |
NeurIPS |
rejected |
Weak-to-strong Generalization via Formative Learning from Student Demonstrations & Teacher Evaluation |
Khoa D. Doan |
| 2025 |
ICML |
accepted oral |
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models |
Khoa D. Doan |
| 2025 |
ICML |
accepted spotlight |
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport |
Tuan Dam |
| 2025 |
ICML |
accepted |
Online Robust Reinforcement Learning Through Monte-Carlo Planning |
Tuan Dam |
| 2025 |
ICML |
accepted |
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search |
Tuan Dam |
| 2025 |
ICML |
accepted |
Provably Improving Generalization of Few-shot models with Synthetic Data |
Than Quang Khoat, Dung D. Le |
| 2025 |
ICCV |
accepted |
ConstStyle: Robust Domain Generalization with Unified Style Transformation |
Phi Le Nguyen, Hieu Pham |
| 2025 |
ICCV |
accepted |
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data |
Phi Le Nguyen |
| 2025 |
ICCV |
accepted |
More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning |
Dinh Viet Sang |
| 2025 |
ICCV |
accepted |
Region-Level Data Attribution for Text-to-Image Generative Models |
Phi Le Nguyen |
| 2025 |
ICCV |
accepted highlight |
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding |
Phi Le Nguyen |
| 2025 |
ICCV |
accepted |
SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models |
Cuong Pham |
| 2025 |
ICCV |
accepted |
Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts |
Cuong Pham |
| 2025 |
ACL |
accepted |
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction |
Ngo Van Linh, Dinh Viet Sang, Nguyen Thi Ngoc Diep, Nam Le Hai |
| 2025 |
EMNLP |
accepted |
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments |
Ngo Van Linh, Nguyen Thi Ngoc Diep |
| 2025 |
AAAI |
accepted |
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective |
Ngo Van Linh |
| 2025 |
AAAI |
accepted |
Few-Shot, No Problem: Descriptive Continual Relation Extraction |
Ngo Van Linh |
| 2025 |
AAAI |
accepted |
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs |
Huynh Thi Thanh Binh |
| 2025 |
AAAI |
accepted |
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks |
Dung D. Le |
| 2025 |
AAAI |
accepted |
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models |
Long Hoang Dang |
| 2025 |
AAAI |
accepted |
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization |
Cuong Pham, Cong Tran |
| 2025 |
IJCAI |
accepted |
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering |
Phi Le Nguyen |
| 2025 |
IJCAI |
accepted |
Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning |
Minh Do |
| 2024 |
ICLR |
desk-rejected |
ALIN: An Active Learning Framework for Incomplete Networks |
Cuong Pham, Cong Tran |
| 2024 |
ICLR |
rejected |
Autonomous Catheterization with Open-source Simulator and Expert Trajectory |
Hoan Cong Nguyen |
| 2024 |
ICLR |
rejected |
Efficient Multi-Fidelity NAS with Zero-Cost Proxy-Guided Local Search |
Ngoc Hoang Luong, Quan Minh Phan |
| 2024 |
ICLR |
rejected |
Enriching Time Series Representation: Integrating a Noise-Resilient Sampling Strategy with an Efficient Encoder Architecture |
Phi Le Nguyen, Hieu Pham |
| 2024 |
ICLR |
rejected |
Fooling the Textual Fooler via Randomizing Latent Representations |
Khoa D. Doan |
| 2024 |
ICLR |
rejected |
Forget-Me-Not: Making Backdoor Hard to be Forgotten in Fine-tuning |
Khoa D. Doan |
| 2024 |
ICLR |
rejected |
Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All |
Than Quang Khoat |
| 2024 |
ICLR |
rejected |
Leveraging Graph Neural Networks to Boost Fine-Grained Image Classification |
Cuong Pham, Cong Tran |
| 2024 |
ICLR |
rejected |
REVISITING LARS FOR LARGE BATCH TRAINING GENERALIZATION OF NEURAL NETWORKS |
Hoa Tien Nguyen |
| 2024 |
ICLR |
rejected |
SENSITIVITY-INFORMED REGULARIZATION FOR OFFLINE BLACK-BOX OPTIMIZATION |
Phi Le Nguyen |
| 2024 |
ICLR |
accepted |
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks |
Khoa D. Doan |
| 2024 |
NeurIPS |
accepted |
Accelerating Transformers with Spectrum-Preserving Token Merging |
Thanh-Binh Nguyen |
| 2024 |
NeurIPS |
rejected |
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments |
Tuan Dam |
| 2024 |
NeurIPS |
accepted |
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques |
Phi Le Nguyen |
| 2024 |
NeurIPS |
accepted |
Mixture of Experts Meets Prompt-Based Continual Learning |
Ngo Van Linh |
| 2024 |
ICML |
accepted |
Boosting Offline Optimizers with Surrogate Sensitivity |
Phi Le Nguyen |
| 2024 |
CVPR |
accepted |
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains |
Cuong Pham |
| 2024 |
CVPR |
accepted |
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset |
Cuong Pham |
| 2024 |
CVPR |
accepted |
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance |
Cuong Pham |
| 2024 |
ECCV |
accepted |
Data Poisoning Quantization Backdoor Attack |
Khoa D. Doan |
| 2024 |
ECCV |
accepted oral |
Flatness-aware Sequential Learning Generates Resilient Backdoors |
Khoa D. Doan |
| 2024 |
ECCV |
accepted |
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher |
Cuong Pham |
| 2024 |
ACL |
rejected unofficial |
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models |
Dung D. Le |
| 2024 |
ACL |
rejected unofficial |
Fooling the Textual Fooler via Randomizing Latent Representations |
Khoa D. Doan |
| 2024 |
EMNLP |
accepted |
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction |
Phi Le Nguyen |
| 2024 |
EMNLP |
accepted |
Lifelong Event Detection via Optimal Transport |
Ngo Van Linh |
| 2024 |
EMNLP |
accepted |
Preserving Generalization of Language models in Few-shot Continual Relation Extraction |
Ngo Van Linh, Nam Le Hai |
| 2024 |
AAAI |
accepted |
Continual Relation Extraction via Sequential Multi-Task Learning |
Ngo Van Linh |
| 2024 |
AAAI |
accepted |
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild |
Cuong Pham |
| 2024 |
AAAI |
accepted |
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation |
Minh-Triet Tran |
| 2024 |
AAAI |
accepted |
On Inference Stability for Diffusion Models |
Than Quang Khoat |
| 2024 |
IJCAI |
accepted |
Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint |
Canh V. Pham, Tan D. Tran |
| 2024 |
IJCAI |
accepted |
Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space |
Cuong Viet Ta |
| 2023 |
ICLR |
rejected |
FedMEKT: Split Multimodal Embedding Knowledge Transfer in Federated Learning |
Minh N. H. Nguyen |
| 2023 |
ICLR |
accepted |
Improving Out-of-distribution Generalization with Indirection Representations |
Man Ngo |
| 2023 |
ICLR |
rejected |
Understanding Pruning at Initialization: An Effective Node-Path Balancing Perspective |
Dung D. Le |
| 2023 |
NeurIPS |
accepted |
IBA: Towards Irreversible Backdoor Attacks in Federated Learning |
Khoa D. Doan |
| 2023 |
NeurIPS |
accepted |
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching |
Thanh-Binh Nguyen |
| 2023 |
NeurIPS |
accepted |
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? |
Dung D. Le |
| 2023 |
CVPR |
accepted |
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering |
Cuong Pham |
| 2023 |
ACL |
rejected unofficial |
Retrieving relevant context to align representations for cross-lingual event detection |
Ngo Van Linh |
| 2023 |
EMNLP |
rejected |
A Spectral Viewpoint on Continual Relation Extraction |
Ngo Van Linh |
| 2023 |
EMNLP |
accepted |
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction |
Duc-Trong Le |
| 2023 |
EMNLP |
accepted |
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts |
Thanh-Binh Nguyen |
| 2023 |
EMNLP |
accepted |
Reinforced Target-driven Conversational Promotion |
Dung D. Le |
| 2023 |
EMNLP |
rejected |
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation |
Nam Le Hai |
| 2023 |
AAAI |
accepted |
Defending Backdoor Attacks on Vision Transformer via Patch Processing |
Khoa D. Doan |
| 2023 |
AAAI |
accepted |
Improving Pareto Front Learning via Multi-Sample Hypernetworks |
Dung D. Le |
| 2023 |
IJCAI |
accepted |
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint |
Canh V. Pham |
| 2022 |
ICLR |
rejected |
Generalization of GANs and overparameterized models under Lipschitz continuity |
Than Quang Khoat |
| 2022 |
ICLR |
accepted |
Generative Pseudo-Inverse Memory |
Man Ngo |
| 2022 |
ICLR |
rejected |
Gradient Boosting Neural Networks: GrowNet |
Khoa D. Doan |
| 2022 |
ICLR |
rejected |
Incorporating User-Item Similarity in Hybrid Neighborhood-based Recommendation System |
Nghia Duong Tan |
| 2022 |
ICLR |
rejected |
Topological Vanilla Transfer Learning |
Hieu Trung Thai |
| 2022 |
ICLR |
rejected |
Transformer with a Mixture of Gaussian Keys |
Dung D. Le |
| 2022 |
NeurIPS |
accepted |
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization |
Man Ngo |
| 2022 |
NeurIPS |
accepted |
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class |
Khoa D. Doan |
| 2022 |
NeurIPS |
accepted |
QC-StyleGAN - Quality Controllable Image Generation and Manipulation |
Cuong Pham |
| 2022 |
ICML |
accepted spotlight |
Improving Transformers with Probabilistic Attention Keys |
Dung D. Le |
| 2022 |
AAAI |
accepted |
Selecting Optimal Context Sentences for Event-Event Relation Extraction |
Ngo Van Linh |
| 2021 |
ICLR |
rejected |
Generalization and Stability of GANs: A theory and promise from data augmentation |
Than Quang Khoat |
| 2021 |
CVPR |
accepted |
Dictionary-Guided Scene Text Recognition |
Minh-Triet Tran |
| 2021 |
CVPR |
accepted |
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking |
Minh-Triet Tran |
| 2021 |
AAAI |
accepted |
Modular Graph Transformer Networks for Multi-Label Image Classification |
Duc-Trong Le |
| 2020 |
ICML |
accepted |
Predictive Coding for Locally-Linear Control |
Than Quang Khoat |