← Authors

Jie Huang

73 papers · 2020–2026 · 15 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (14) 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (26) πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (320) ❓ The Questioner (2) πŸ’Ž Century Club (71) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter ⚑ Prolific Year (22)

Conferences

CVPR (16) EMNLP (12) AAAI (8) NIPS (8) ACL (7) ICCV (7) ECCV (5) ICML (2) NAACL (2) COLING (1) EACL (1) ICLR (1) IJCAI (1) IJCNLP (1) MICCAI (1)

Top co-authors

Feng Zhao (27) man zhou (23) Xueyang Fu (11) Kevin Chen-Chuan Chang (10) Kevin Chang (10) Naishan Zheng (10) Hu Yu (9) Chongyi Li (8) Jinjun Xiong (7) Wen-Mei Hwu (7)

Research topics

Privacy (1)

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

Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models AAAI 2026
Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access AAAI 2026
SimulBench: Evaluating Language Models with Creative Simulation Tasks NAACL 2025
UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts CVPR 2025
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution CVPR 2025
Navigating Image Restoration with VAR's Distribution Alignment Prior CVPR 2025
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis CVPR 2025
Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images MICCAI 2025
Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening AAAI 2025
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining ICML 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
A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening CVPR 2025
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage EACL 2024
Unmasking Bias in Diffusion Model Training ECCV 2024
Large Language Models Cannot Self-Correct Reasoning Yet ICLR 2024
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
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
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion CVPR 2024
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery 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
Ingredient-Oriented Multi-Degradation Learning for Image Restoration 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
Coordinated Topic Modeling EMNLP 2022
Bijective Mapping Network for Shadow Removal CVPR 2022
Mutual Information-Driven Pan-Sharpening 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
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP 2022
Domain Representative Keywords Selection: A Probabilistic Approach ACL 2022
Open Relation Modeling: Learning to Define Relations between Entities ACL 2022
Deep Fourier Up-Sampling NIPS 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
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network NIPS 2022
Exposure Normalization and Compensation for Multiple-Exposure Correction 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
Space-Time Distillation for Video Super-Resolution CVPR 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
Guided Attention Network for Concept Extraction IJCAI 2021
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Exploring Semantic Capacity of Terms EMNLP 2020