Tao Han
22 papers · 2016–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (46)
ποΈ
Keyword Collector
(121)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(12)
Artificial Intelligence
(8)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Computer Vision
(5)
Application Areas
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(5)
Architectures
(4)
Models
(4)
Analysis
(3)
Learning Paradigms
(3)
Processing
(2)
Natural Language Processing
(1)
Keywords
weather forecasting
(3)
end-to-end learning
(2)
object counting
(2)
semi-supervised learning
(2)
density map estimation
(2)
neural network
(2)
domain generalization
(1)
visual question answering
(1)
probabilistic modeling
(1)
feature selection
(1)
density estimation
(1)
optimal transport
(1)
attention mechanism
(1)
data augmentation
(1)
image generation
(1)
image synthesis
(1)
tokenization
(1)
transfer learning
(1)
automatic speech recognition
(1)
distributed learning
(1)
Papers
Predicting the Future by Retrieving the Past
AAAI 2026
STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
CVPR 2026
UNICBench: UNIfied Counting Benchmark for MLLM
CVPR 2026
FreeMesh: Boosting Mesh Generation with Coordinates Merging
ICML 2025
InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
ICCV 2025
Mixture of Experts Based Multi-Task Supervise Learning from Crowds
AAAI 2025
SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training
AAAI 2025
Video Individual Counting for Moving Drones
ICCV 2025
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
AAAI 2025
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CVPR 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
NeurIPS 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS 2024
Towards a Self-contained Data-driven Global Weather Forecasting Framework
ICML 2024
Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition
Interspeech 2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
ICCV 2023
TDG4Crowd:Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing
IJCAI 2023
DR.VIC: Decomposition and Reasoning for Video Individual Counting
CVPR 2022
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
AAAI 2021
Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering
COLING 2020
Structured Probabilistic End-to-End Learning from Crowds
IJCAI 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
NeurIPS 2020
Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition
IJCAI 2016