Jie Huang
75 papers · 2020–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (15) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (5)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Academic Marathon
(5)
π€
Dynamic Duo
(26)
π
Grand Slam
π±
Topic Pioneer
π¬
Deep Specialist
(22)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(320)
β
The Questioner
(2)
π
Century Club
(71)
π₯
Unstoppable
(6)
π
Trend Setter
β‘
Prolific Year
(22)
Conferences
CVPR (16)
EMNLP (12)
ACL (9)
AAAI (8)
NIPS (8)
ICCV (7)
ECCV (5)
ICML (2)
NAACL (2)
COLING (1)
EACL (1)
ICLR (1)
IJCAI (1)
IJCNLP (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
image restoration
(15)
text generation
(8)
large language model
(7)
image fusion
(7)
neural network
(5)
image enhancement
(4)
information extraction
(4)
attention mechanism
(4)
fourier transform
(4)
knowledge graph
(4)
remote sensing
(4)
deep unfolding
(3)
feature learning
(3)
low-light image enhancement
(3)
image super-resolution
(3)
domain adaptation
(3)
benchmark evaluation
(3)
neural network optimization
(3)
feature extraction
(3)
image dehazing
(3)
Papers
Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access
AAAI 2026
Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models
AAAI 2026
All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction
ACL 2026
SAGE: Synergistic Adaptive Gating of Experts for Hateful Video Detection
ACL 2026
UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts
CVPR 2025
SimulBench: Evaluating Language Models with Creative Simulation Tasks
NAACL 2025
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion
ICCV 2025
FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment
ICCV 2025
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
CVPR 2025
Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening
AAAI 2025
Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images
MICCAI 2025
Navigating Image Restoration with VAR's Distribution Alignment Prior
CVPR 2025
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
ICML 2025
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis
CVPR 2025
A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
CVPR 2025
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing
ECCV 2024
Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
CVPR 2024
HomoFormer: Homogenized Transformer for Image Shadow Removal
CVPR 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
CVPR 2024
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
EACL 2024
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
AAAI 2024
Citation: A Key to Building Responsible and Accountable Large Language Models
NAACL 2024
Long-form factuality in large language models
NIPS 2024
Cascade Speculative Drafting for Even Faster LLM Inference
NIPS 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents
ACL 2024
Ancient Chinese Punctuation via In-Context Learning
COLING 2024
Large Language Models Cannot Self-Correct Reasoning Yet
ICLR 2024
Unmasking Bias in Diffusion Model Training
ECCV 2024
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion
CVPR 2024
Ingredient-Oriented Multi-Degradation Learning for Image Restoration
CVPR 2023
FouriDown: Factoring Down-Sampling into Shuffling and Superposing
NIPS 2023
Transition-constant Normalization for Image Enhancement
NIPS 2023
Deep Fractional Fourier Transform
NIPS 2023
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement
AAAI 2023
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships
ACL 2023
Can Language Models Be Specific? How?
ACL 2023
Towards Reasoning in Large Language Models: A Survey
ACL 2023
Learning Sample Relationship for Exposure Correction
CVPR 2023
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery
CVPR 2023
Text Fact Transfer
EMNLP 2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
EMNLP 2023
Descriptive Knowledge Graph in Biomedical Domain
EMNLP 2023
Ask To The Point: Open-Domain Entity-Centric Question Generation
EMNLP 2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT
EMNLP 2023
VER: Unifying Verbalizing Entities and Relations
EMNLP 2023
Exploring Temporal Frequency Spectrum in Deep Video Deblurring
ICCV 2023
Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-spectral Image Fusion
ICCV 2023
Generalized Lightness Adaptation with Channel Selective Normalization
ICCV 2023
Empowering Low-Light Image Enhancer through Customized Learnable Priors
ICCV 2023
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
ICCV 2023
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
ICML 2023
Deep Fourier Up-Sampling
NIPS 2022
Domain Representative Keywords Selection: A Probabilistic Approach
ACL 2022
Exposure Normalization and Compensation for Multiple-Exposure Correction
CVPR 2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
EMNLP 2022
Understanding Jargon: Combining Extraction and Generation for Definition Modeling
EMNLP 2022
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
EMNLP 2022
Coordinated Topic Modeling
EMNLP 2022
Are Large Pre-Trained Language Models Leaking Your Personal Information?
EMNLP 2022
Open Relation Modeling: Learning to Define Relations between Entities
ACL 2022
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge
AAAI 2022
RETRACTED: Pan-Sharpening with Customized Transformer and Invertible Neural Network
AAAI 2022
Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
NIPS 2022
Bijective Mapping Network for Shadow Removal
CVPR 2022
Mutual Information-Driven Pan-Sharpening
CVPR 2022
Spatial-Frequency Domain Information Integration for Pan-Sharpening
ECCV 2022
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction
ECCV 2022
Frequency and Spatial Dual Guidance for Image Dehazing
ECCV 2022
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
NIPS 2022
Guided Attention Network for Concept Extraction
IJCAI 2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
IJCNLP 2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
ACL 2021
Space-Time Distillation for Video Super-Resolution
CVPR 2021
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
AAAI 2020
Exploring Semantic Capacity of Terms
EMNLP 2020