Yinghui Xu
21 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (8) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (57)
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Conference Polyglot
(8)
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Academic Marathon
(5)
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Renaissance Researcher
(7)
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Dynamic Duo
(11)
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Prolific Year
(13)
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Century Club
(21)
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Keyword Collector
(104)
Conferences
AAAI (6)
CVPR (5)
ECCV (2)
EMNLP (2)
ICCV (2)
MICCAI (2)
ACL (1)
ICML (1)
Top co-authors
Keywords
self-supervised learning
(3)
communication efficiency
(3)
stochastic gradient descent
(2)
in-context learning
(2)
contrastive learning
(2)
semantic segmentation
(2)
instruction fine-tuning
(2)
distributed training
(2)
convolutional neural network
(2)
few-shot learning
(1)
semi-supervised learning
(1)
image classification
(1)
model compression
(1)
action recognition
(1)
catastrophic forgetting
(1)
unsupervised learning
(1)
text classification
(1)
feature extraction
(1)
hierarchical planning
(1)
continual learning
(1)
Papers
Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
MICCAI 2025
MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models
MICCAI 2025
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
ECCV 2024
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching
EMNLP 2023
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness
EMNLP 2023
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels
ACL 2023
Communication Efficient SGD via Gradient Sampling With Bayes Prior
CVPR 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers
CVPR 2021
Multiple Object Tracking With Correlation Learning
CVPR 2021
Self-Supervised Video Representation Learning by Context and Motion Decoupling
CVPR 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
Practical Relative Order Attack in Deep Ranking
ICCV 2021
Accelerating Gossip SGD with Periodic Global Averaging
ICML 2021
Learning Position and Target Consistency for Memory-Based Video Object Segmentation
CVPR 2021
Distribution Adaptive INT8 Quantization for Training CNNs
AAAI 2021
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
AAAI 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
AAAI 2021
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
AAAI 2021
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
AAAI 2021
Weakly Supervised Learning with Side Information for Noisy Labeled Images
ECCV 2020
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
AAAI 2020