Xianzhi Yu
7 papers · 2022–2026 · 4 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
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(5)
Machine Learning
(4)
Application Areas
(4)
Optimization & Theory · Deep Learning
(4)
Natural Language Processing
(2)
Architectures
(2)
Applications
(1)
Learning Types
(1)
Optimization & Theory · Machine Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
model compression
(3)
efficient computing
(2)
post-training quantization
(2)
neural machine translation
(1)
neural network optimization
(1)
kronecker product
(1)
convolutional neural network
(1)
mixture of expert
(1)
sparse activation
(1)
feed-forward network
(1)
inference efficiency
(1)
speculative decoding
(1)
latency optimization
(1)
test-time scaling
(1)
affine transformation
(1)
sparse convolution
(1)
large language model
(1)
neural network
(1)
neural processing unit
(1)
batch inference
(1)
Papers
Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
ACL 2026
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
ACL 2026
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
ACL 2026
Faster and Better LLMs via Latency-Aware Test-Time Scaling
EMNLP 2025
FlatQuant: Flatness Matters for LLM Quantization
ICML 2025
Accelerating Sparse Convolution with Column Vector-Wise Sparsity
NeurIPS 2022
HW-TSC’s Submission for the WMT22 Efficiency Task
EMNLP 2022