Jiahui Yu
28 papers · 2018–2025 · 11 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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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Pioneer
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(98)
Venues
Top co-authors
Research topics
Keywords
convolutional neural network
(6)
neural network
(4)
automatic speech recognition
(3)
image inpainting
(3)
model compression
(3)
image restoration
(3)
zero-shot learning
(2)
contrastive learning
(2)
end-to-end model
(2)
representation learning
(2)
generative model
(2)
vision-language model
(2)
image super-resolution
(2)
word error rate
(2)
knowledge distillation
(2)
weight sharing
(2)
image denoising
(2)
speech recognition
(2)
self-supervised learning
(1)
visual question answering
(1)
Papers
PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement
EMNLP 2025
RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation
MICCAI 2025
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
MICCAI 2025
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
ECCV 2024
CoBIT: A Contrastive Bi-directional Image-Text Generation Model
ICLR 2024
De-Diffusion Makes Text a Strong Cross-Modal Interface
CVPR 2024
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
ECCV 2024
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
ECCV 2024
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
MICCAI 2024
Module-wise Adaptive Distillation for Multimodality Foundation Models
NeurIPS 2023
VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining
CVPR 2023
Self-supervised learning with random-projection quantizer for speech recognition
ICML 2022
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
ICLR 2022
Vector-quantized Image Modeling with Improved VQGAN
ICLR 2022
An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling
Interspeech 2021
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling
ICLR 2021
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
ECCV 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Interspeech 2020
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
Interspeech 2020
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
ICLR 2020
Neural Sparse Representation for Image Restoration
NeurIPS 2020
Scale-Wise Convolution for Image Restoration
AAAI 2020
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
UAI 2019
Foreground-Aware Image Inpainting
CVPR 2019
Free-Form Image Inpainting With Gated Convolution
ICCV 2019
Slimmable Neural Networks
ICLR 2019
Universally Slimmable Networks and Improved Training Techniques
ICCV 2019
Generative Image Inpainting With Contextual Attention
CVPR 2018