Xiuying Wei
9 papers · 2022–2025 · 5 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 · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(8)
Deep Learning
(7)
Artificial Intelligence
(5)
Core AI · Artificial Intelligence
(5)
Optimization & Theory · Deep Learning
(5)
Optimization & Theory · Machine Learning
(5)
Computer Vision
(2)
Architectures
(2)
Models
(2)
Core AI · Computer Vision
(1)
Core Methods
(1)
Domain-Specific
(1)
Techniques
(1)
Keywords
model compression
(6)
post-training quantization
(5)
large language model
(3)
image classification
(2)
text classification
(1)
object detection
(1)
lane detection
(1)
autonomous driving
(1)
neural architecture search
(1)
neural network optimization
(1)
efficient computing
(1)
convergence guarantee
(1)
memory optimization
(1)
feed-forward network
(1)
edge computing
(1)
parameter efficiency
(1)
weight quantization
(1)
low-bit quantization
(1)
post-training compression
(1)
neural network sparsity
(1)
Papers
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
AAAI 2025
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
NeurIPS 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
AAAI 2024
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
ICLR 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
AAAI 2024
Lossy and Lossless (L2) Post-training Model Size Compression
ICCV 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling
EMNLP 2023
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
NeurIPS 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
ICLR 2022