Ke Yi
7 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (6) π Cross-Pollinator (11)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
NIPS (4)
ACL (2)
ICLR (1)
Top co-authors
Research topics
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)
matrix estimation
(1)
language model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
parameter efficient fine-tuning
(1)
inference efficiency
(1)
efficient deployment
(1)
privacy mechanism
(1)
once-for-all training
(1)
low-rank adapter
(1)
large language model quantization
(1)
large language model
(1)
Papers
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
FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point
ACL 2025
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
NIPS 2023
Differentially Private Covariance Revisited
NIPS 2022
Instance-optimal Mean Estimation Under Differential Privacy
NIPS 2021
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
NIPS 2019