Jiahui Yu
28 papers · 2018–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(11)
🧬
Topic Evolution
🏆
Grand Slam
🗃️
Keyword Collector
(74)
🚀
Conference Pioneer
💎
Century Club
(28)
🔥
Unstoppable
(8)
⚡
Prolific Year
(6)
Conferences
ICLR (6)
CVPR (4)
ECCV (4)
INTERSPEECH (3)
MICCAI (3)
ICCV (2)
NIPS (2)
AAAI (1)
EMNLP (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
convolutional neural network
(5)
image restoration
(3)
image inpainting
(3)
neural network
(3)
automatic speech recognition
(2)
speech recognition
(2)
image denoising
(2)
generative model
(2)
model compression
(2)
image super-resolution
(2)
word error rate
(2)
contextual attention
(1)
knowledge editing
(1)
knowledge distillation
(1)
non-convex optimization
(1)
representation learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
zero-shot learning
(1)
neural network optimization
(1)
Papers
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
MICCAI 2025
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
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
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
ECCV 2024
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
ECCV 2024
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
MICCAI 2024
VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining
CVPR 2023
Module-wise Adaptive Distillation for Multimodality Foundation Models
NIPS 2023
Self-supervised learning with random-projection quantizer for speech recognition
ICML 2022
Vector-quantized Image Modeling with Improved VQGAN
ICLR 2022
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
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
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
INTERSPEECH 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
ECCV 2020
Scale-Wise Convolution for Image Restoration
AAAI 2020
Neural Sparse Representation for Image Restoration
NIPS 2020
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
ICLR 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
INTERSPEECH 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
Universally Slimmable Networks and Improved Training Techniques
ICCV 2019
Free-Form Image Inpainting With Gated Convolution
ICCV 2019
Slimmable Neural Networks
ICLR 2019
Generative Image Inpainting With Contextual Attention
CVPR 2018