Peiyuan Zhang
12 papers · 2021–2026 · 9 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
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Deep Learning
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Artificial Intelligence
(5)
Computer Vision
(4)
Application Areas
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Core AI
(4)
Optimization & Theory · Machine Learning
(4)
Mathematics & Optimization
(3)
Learning Paradigms
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Learning Types · Deep Learning
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Optimization & Theory · Deep Learning
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Natural Language Processing
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Analysis
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Applications
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Learning Types · Machine Learning
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Keywords
multimodal learning
(3)
weakly supervised learning
(2)
video understanding
(2)
large language model
(2)
convex optimization
(2)
oriented object detection
(2)
domain adaptation
(1)
transfer learning
(1)
zero-shot learning
(1)
temporal reasoning
(1)
relation extraction
(1)
question answering
(1)
natural language understanding
(1)
text representation
(1)
few-shot learning
(1)
accelerated optimization
(1)
egocentric vision
(1)
model architecture
(1)
semi-supervised learning
(1)
stochastic gradient descent
(1)
Papers
Partial Weakly-Supervised Oriented Object Detection
CVPR 2026
EgoLife: Towards Egocentric Life Assistant
CVPR 2025
Fast Video Generation with Sliding Tile Attention
ICML 2025
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
AISTATS 2025
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
NAACL 2025
Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
CVPR 2025
Temporal Reasoning Transfer from Text to Video
ICLR 2025
Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph: Extended Abstract
COLT 2024
One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
ACL 2023
Better Few-Shot Relation Extraction with Label Prompt Dropout
EMNLP 2022
Rethinking the Variational Interpretation of Accelerated Optimization Methods
NeurIPS 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
AISTATS 2021