Yujia Zhang
15 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver ποΈ Keyword Collector (91)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Core AI
(8)
Learning Types Β· Machine Learning
(8)
Deep Learning
(7)
Architectures
(4)
Core Methods
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Methods
(3)
Processing
(3)
Resources & Methods
(3)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Keywords
direct preference optimization
(2)
knowledge graph
(2)
self-supervised learning
(2)
continual learning
(1)
offline reinforcement learning
(1)
imitation learning
(1)
semantic segmentation
(1)
preference learning
(1)
model fusion
(1)
video retrieval
(1)
attention mechanism
(1)
graph representation learning
(1)
data augmentation
(1)
relation extraction
(1)
autonomous driving
(1)
image restoration
(1)
model merging
(1)
language model alignment
(1)
zero-shot learning
(1)
contrastive learning
(1)
Papers
CoIn: Coverage and Informativeness-Guided Token Reduction for Efficient Large Multimodal Models
CVPR 2026
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
EMNLP 2025
Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization
EMNLP 2025
DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving
CVPR 2025
Dynamic Uncertainty Estimation for Offline Reinforcement Learning
AAAI 2025
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
EMNLP 2025
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction
AAAI 2025
Fine-tuning Language Models for Triple Extraction with Data Augmentation
ACL 2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
EMNLP 2024
Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation
AAAI 2022
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation
AAAI 2022
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
AAAI 2022
Legacy Photo Editing With Learned Noise Prior
WACV 2021
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation
WACV 2021
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
CVPR 2019