Ke Yi
7 papers · 2019–2025 · 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
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(5)
Artificial Intelligence
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Core Methods
(1)
Differential Privacy
(1)
Foundations
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
model compression
(2)
differential privacy
(1)
model quantization
(1)
representation learning
(1)
emotion recognition
(1)
mean estimation
(1)
covariance estimation
(1)
statistical estimation
(1)
outlier removal
(1)
matrix estimation
(1)
sparse vectors
(1)
language model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
distributed stochastic gradient descent
(1)
inference efficiency
(1)
efficient deployment
(1)
inference acceleration
(1)
distributed mean estimation
(1)
communication cost
(1)
Papers
FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point
ACL 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
ACL 2025
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
ICLR 2025
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
NeurIPS 2023
Differentially Private Covariance Revisited
NeurIPS 2022
Instance-optimal Mean Estimation Under Differential Privacy
NeurIPS 2021
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
NeurIPS 2019