Kevin Hsieh
9 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Computer Vision
(3)
Application Areas
(3)
Learning Types
(3)
Deep Learning
(2)
Analysis
(2)
Architectures
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization
(1)
Keywords
distributed learning
(2)
continuous learning
(2)
video analytics
(2)
object detection
(2)
network security
(2)
batch normalization
(1)
ranking algorithm
(1)
contrastive learning
(1)
resource allocation
(1)
inference optimization
(1)
anomaly detection
(1)
communication efficiency
(1)
query optimization
(1)
synchronous parallel
(1)
throughput optimization
(1)
hierarchical clustering
(1)
convolutional neural network
(1)
edge computing
(1)
adversarial evasion
(1)
online learning
(1)
Papers
Enhancing Network Failure Mitigation with Performance-Aware Ranking
NSDI 2025
Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
NSDI 2025
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
NSDI 2024
Federated Learning under Distributed Concept Drift
AISTATS 2023
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
NSDI 2023
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
NSDI 2022
The Non-IID Data Quagmire of Decentralized Machine Learning
ICML 2020
Focus: Querying Large Video Datasets with Low Latency and Low Cost
OSDI 2018
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
NSDI 2017