Yongqiang Tang
3 papers · 2024–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
Venues
Top co-authors
Research topics
Keywords
model compression
(1)
causal inference
(1)
hidden confounding
(1)
recommendation system
(1)
feed-forward network
(1)
selection bia
(1)
multi-head self-attention
(1)
activation sparsity
(1)
structured pruning
(1)
low-rank matrix approximation
(1)
large language model
(1)
weight sparsity
(1)
magnitude-based pruning
(1)
gradient-free structured channel pruning
(1)
input activation weighted singular value decomposition
(1)
Papers
Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression
ACL 2026
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
NeurIPS 2024
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
ICML 2024