Dacheng Tao
Distinguished University Professor
Applies statistics and mathematics to artificial intelligence, including computer vision, deep learning theory and large models.
Dacheng Tao's lab at NTU works on learning theory & optimization, data management & big data and large language models. 501 papers since 2023, 346 at top venues, mostly TPAMI and NeurIPS.
At a glance
- papers, 2023–2026
- 131/ year
- at T1 venues
- 69%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 98 papers2026 · T1 68 · collecting
- 138 papers2025 · T1 101
- 120 papers2024 · T1 73
- 145 papers2023 · T1 104
T1 venuesOtherVenues: TPAMI, NeurIPS, IJCV, ICLR, ICML
Research focuspaper titles that use each topic's words
- Learning theory & optimization168 papers
- Large language models104 papers
- Data management & big data32 papers
- mathematics0 papers
- large models0 papers
Paper list
From DBLP.
202698 papers
- IEEE Trans. Emerg. Top. Comput. Intell.A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning (opens in a new tab)
- IJCAI/ECAIA Review on Test-Time Scaling for Agentic Large Language Models (opens in a new tab)
- ICLR (T1)A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models (opens in a new tab)
- AAAI (T1)AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization (opens in a new tab)
- TPAMI (T1)Adaptive Batch Size Time Evolving Stochastic Gradient Descent for Federated Learning (opens in a new tab)
- IEEE Trans. Multim.Adaptive Decoupled Knowledge Distillation via Self-Learning (opens in a new tab)
- IEEE Trans. ComputersAdaptiveCore: Adaptive Parallel Core Decomposition Framework (opens in a new tab)
- TPAMI (T1)Aligning Few-Step Diffusion Models With Dense Reward Difference Learning (opens in a new tab)
- ICLR (T1)AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers (opens in a new tab)
- TPAMI (T1)Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective (opens in a new tab)
- AAAI (T1)Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation (opens in a new tab)
- TPAMI (T1)Brightness-Aware Synthetic-to-Real Learning for Nighttime Hazy Image Enhancement (opens in a new tab)
2025138 papers
- IEEE Trans. Neural Networks Learn. Syst.(δ, ε)-K Segmentation for Characterizing Well-Clusterable Sets (opens in a new tab)
- IJCV (T1)2D Semantic-Guided Semantic Scene Completion (opens in a new tab)
- IJCV (T1)A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning (opens in a new tab)
- ICLR (T1)A Statistical Approach for Controlled Training Data Detection (opens in a new tab)
- ICLR (T1)A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops (opens in a new tab)
- NeurIPS (T1)Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization (opens in a new tab)
- NeurIPS (T1)Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler (opens in a new tab)
- Comput. Math. Appl.AdaPW: An adaptive point-weighting method for training physics-informed neural networks (opens in a new tab)
- NeurIPS (T1)AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding (opens in a new tab)
- NeurIPS (T1)AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation (opens in a new tab)
- TPAMI (T1)Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning (opens in a new tab)
2024120 papers
- LREC/COLING3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset (opens in a new tab)
- TPAMI (T1)A Comprehensive Survey of Dataset Distillation (opens in a new tab)
- TPAMI (T1)A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends (opens in a new tab)
- NeurIPS (T1)A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs (opens in a new tab)
- ICLR (T1)AdaMerging: Adaptive Model Merging for Multi-Task Learning (opens in a new tab)
- UAI (T1)Adaptive Time-Stepping Schedules for Diffusion Models (opens in a new tab)
- Neural NetworksAdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks (opens in a new tab)
- TPAMI (T1)Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Aspect-Aware Graph Attention Network for Heterogeneous Information Networks (opens in a new tab)
- TPAMI (T1)Boosting Factorization Machines via Saliency-Guided Mixup (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Boosting Graph Contrastive Learning via Adaptive Sampling (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Collaborative Knowledge Distillation via Multiknowledge Transfer (opens in a new tab)
2023145 papers
- WACV Workshop1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results (opens in a new tab)
- ACM Comput. Surv.A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning (opens in a new tab)
- Adv. Intell. Syst.A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke (opens in a new tab)
- TKDE (T1)A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications (opens in a new tab)
- TPAMI (T1)A Survey on Vision Transformer (opens in a new tab)
- IEEE Trans. Geosci. Remote. Sens.Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model (opens in a new tab)
- NeurIPS (T1)All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (opens in a new tab)
- ICLR (T1)Alternating Differentiation for Optimization Layers (opens in a new tab)
- IEEE Trans. Geosci. Remote. Sens.An Empirical Study of Remote Sensing Pretraining (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.An Optimal Transport Analysis on Generalization in Deep Learning (opens in a new tab)
- ACM MMAniPixel: Towards Animatable Pixel-Aligned Human Avatar (opens in a new tab)
- CVPR (T1)Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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