Yingtao Zhang
7 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🌱
Topic Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Architectures
(4)
Application Areas
(3)
Core AI
(3)
Core Methods
(3)
Natural Language Processing
(1)
Applications
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Techniques
(1)
Keywords
model compression
(3)
large language model
(2)
neural network
(2)
zero-shot learning
(1)
data augmentation
(1)
quality estimation
(1)
multi-task learning
(1)
singular value decomposition
(1)
power-law distribution
(1)
imbalanced classification
(1)
sparse training
(1)
parameter efficiency
(1)
weight quantization
(1)
inference speed
(1)
rotation transformation
(1)
outlier mitigation
(1)
weight activation quantization
(1)
pivot row
(1)
network topology
(1)
model pruning
(1)
Papers
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models
ICML 2025
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
ICML 2025
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
NeurIPS 2024
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
ICLR 2024
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
ICLR 2024
ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data
ACML 2021
HW-TSC’s Participation at WMT 2021 Quality Estimation Shared Task
EMNLP 2021