Hang Dong
18 papers · 2019–2026 · 10 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
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🗺️ Taxonomy Completionist (48) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(8)
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Deep Learning
(8)
Core AI
(8)
Computer Vision
(7)
Processing
(6)
Application Areas
(5)
Core Methods
(5)
Learning Types · Deep Learning
(5)
Natural Language Processing
(4)
Applications
(4)
Learning Types · Machine Learning
(3)
Models
(3)
Healthcare & Medicine
(2)
Analysis
(2)
Keywords
image super-resolution
(3)
image restoration
(3)
recurrent neural network
(2)
text classification
(2)
diffusion model
(2)
icd coding
(2)
multi-label classification
(2)
retrieval-augmented generation
(2)
metric learning
(1)
uncertainty quantification
(1)
zero-shot learning
(1)
prototype learning
(1)
deformable convolution
(1)
medical imaging
(1)
representation learning
(1)
hierarchical classification
(1)
chain-of-thought reasoning
(1)
reinforcement learning
(1)
question answering
(1)
data augmentation
(1)
Papers
αMatte4K & μMatting: Dataset and Model for Ultra-Micro Precision Alpha Video Matting
CVPR 2026
Bootstrap Your Own AV-Proxies: Adaptive Contrastive and Prototype Learning for Audio-Visual Segmentation
CVPR 2026
DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution
CVPR 2026
DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer
CVPR 2026
GraphRAG-Rad: Concept-Aware Radiology Report Generation via Latent Visual-Semantic Retrieval
EACL 2026
LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
ACL 2026
Evaluating Retrieval Augmented Generation to Communicate UK Climate Change Information
ACL 2025
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
ICCV 2025
SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation
UAI 2024
Language Model Analysis for Ontology Subsumption Inference
ACL 2023
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
ICLR 2022
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring
AAAI 2022
Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding
ACL 2022
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
EMNLP 2021
Learning To Restore Hazy Video: A New Real-World Dataset and a New Method
CVPR 2021
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
IJCAI 2021
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion
CVPR 2020
Joint Multi-Label Attention Networks for Social Text Annotation
NAACL 2019