Yun Cheng
8 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)
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Grand Slam
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The Questioner
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Research topics
Artificial Intelligence
(6)
Core AI · Artificial Intelligence
(6)
Deep Learning
(5)
Machine Learning
(5)
Application Areas
(3)
Computer Vision
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Analysis
(1)
Core AI · Computer Vision
(1)
Domain-Specific
(1)
Keywords
information theory
(2)
multimodal learning
(2)
model compression
(1)
representation learning
(1)
benchmark evaluation
(1)
semi-supervised learning
(1)
model selection
(1)
neural network optimization
(1)
visual question answering
(1)
vision transformer
(1)
image captioning
(1)
point cloud
(1)
multimodal interaction
(1)
deep learning
(1)
model quantization
(1)
efficient computing
(1)
loss function
(1)
modality imbalance
(1)
heterogeneous data
(1)
neural network quantization
(1)
Papers
DigimonGPT: An Evolvable Agent with Hierarchical Human-like Memory for Video Question Answering
AAAI 2026
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
ICML 2025
ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers
IJCAI 2024
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
AAAI 2024
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
ICLR 2024
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning
JMLR 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
NeurIPS 2023
Adaptive Loss-Aware Quantization for Multi-Bit Networks
CVPR 2020