NeurIPS publishes accepted papers. A rejected paper is public only when its authors chose to make it so, which means the rejected numbers below are a lower bound and submitted numbers cannot be given. The numbers cover the listed professors; a paper with several of them is counted once. 22 accepted before 2026, 32 from 2026. 32 accepted papers are known only from personal pages. They are shown as +32, tagged "unofficial" in the list, and stay so until the conference publishes them.
NeurIPS does not publish its rejections, so they are estimated from the ICLR record of each paper's listed authors, as on their pages: about 3.0 submissions per accepted paper (see About).
By year
Professors with accepted papers
- Khoa D. Doan (VinUni): 9 papers
- Phi Le Nguyen (HUST): 6 papers
- Tuan Dam (HUST): 6 papers
- Dung D. Le (VinUni): 4 papers
- Ngo Van Linh (HUST): 4 papers
- Thanh-Binh Nguyen (HCMUS): 4 papers
- Binh T. Nguyen (VinUni): 3 papers
- Tuan Do (Phenikaa): 3 papers
- Bui Trong Duc (HUST): 2 papers
- Hoang-Son Do (VAST): 2 papers
- Hoang Ta (HUST): 2 papers
- Huynh Thi Thanh Binh (HUST): 2 papers
- Nhan-Phu Chung (UEH): 2 papers
- Thanh Trung Huynh (VinUni): 2 papers
- Thuy T. Nguyen (RMIT): 2 papers
- An Mai (HCMIU): 1 paper
- Canh V. Pham (Phenikaa): 1 paper
- Cuong Pham (PTIT): 1 paper
- Cuong Viet Ta (VNU-UET): 1 paper
- Danh Le-Phuoc (VinUni): 1 paper
- Duc-Trong Le (VNU-UET): 1 paper
- Long Hoang Dang (PTIT): 1 paper
- Man Ngo (HCMUS): 1 paper
- Nguyen Tu Uyen (NEU): 1 paper
- Nhat-Quang Tran (RMIT): 1 paper
- Quynh-Trang Pham Thi (VNU-UET): 1 paper
- Thai Khanh Nguyen (PTIT): 1 paper
- Than Quang Khoat (HUST): 1 paper
- Tran Thai Son (HCMUS): 1 paper
- Uyen N.B. Vo (PTIT): 1 paper
Accepted papers (54)
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NeurIPS 2026unofficial
BECON: Belief-Conditioned Constrained Multi-Objective Reinforcement Learning under Drifting Preferences and Budgets
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Birth-Death Structural Learning for 3D Gaussian Splatting
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
COMPASS: Composable Policy-Amortized Structured Search for LLM-Based Optimization Modeling
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Conflict-Aware Logit Adapters for Utility-Preserving Anti-Distillation
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Contrastive Hypergraph Source-free Domain Adaptive Object Detection in Adverse Weathers
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Decoding the Critique Mechanism in Large Reasoning Models
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Disentangling Optimization Geometry via Hierarchical Polar Adapters for Class-Incremental Learning
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026spotlightunofficial
First-Token Attraction in Mamba Dynamics
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Graph Topology Augmentation for Prioritized Sweeping in Non-stationary Reinforcement Learning
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Graph-Based Stochastic-Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Kernelized Activation Steering
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Latent Abstraction for Retrieval-Augmented Generation
Unofficial: listed on their own page; not in the official list yet.
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NeurIPS 2026unofficial
Learning in Policy Transparency Games: Wedge Structure and Adaptive Certification
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
MAGE: Towards Generalizable Multi-timescale EEG Representations
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026spotlightunofficial
Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
On the Primacy Bias in RLVR Training
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Probe-Guided Gradient Balancing for Multimodal Learning
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Raw-Routed Mixture of Adapters: A Causal Intervention for Routing Collapse in Time Series Foundation Models
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Rethinking Molecular Graph Backdoors under Chemistry-aware Admission
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Selective Off-Policy Reference Tuning with Plan Guidance
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Spectral Identifiability for World Models: Polynomial Projectors, Resolvent Stability, and a Krylov Bottleneck
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
SympFNO: Structure-Preserving Fourier Neural Operators for Physical Surrogate Modeling
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Trajectory-Matching Meta Pseudo-Labeling for Semi-Supervised Learning
Unofficial: listed on their own page; not in the official list yet.
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NeurIPS 2026unofficial
Two-Clustering Regime of Token Dynamics in Causal Attention
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2025
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
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NeurIPS 2025
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
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NeurIPS 2025
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
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NeurIPS 2025
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
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NeurIPS 2025
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
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NeurIPS 2025
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
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NeurIPS 2025
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
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NeurIPS 2025
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
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NeurIPS 2025
Pseudo-Riemannian Graph Transformer
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NeurIPS 2025spotlight
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
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NeurIPS 2025
Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
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NeurIPS 2025
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
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NeurIPS 2025
Unveiling Concept Attribution in Diffusion Models
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NeurIPS 2024
Accelerating Transformers with Spectrum-Preserving Token Merging
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NeurIPS 2024
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
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NeurIPS 2024
Mixture of Experts Meets Prompt-Based Continual Learning
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NeurIPS 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
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NeurIPS 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
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NeurIPS 2023
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
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NeurIPS 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
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NeurIPS 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
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NeurIPS 2022
QC-StyleGAN - Quality Controllable Image Generation and Manipulation
Rejected (4)
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NeurIPS 2025, rejected
Non-vacuous Bounds for the test error of Deep Learning without any change to the trained models
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NeurIPS 2025, rejected
TriggerCraft: A Framework for Enabling Scalable Physical Backdoor Dataset Generation with Generative Models
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NeurIPS 2025, rejected
Weak-to-strong Generalization via Formative Learning from Student Demonstrations & Teacher Evaluation
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NeurIPS 2024, rejected
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments