Linshan Jiang
8 papers · 2024–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Application Areas
(6)
Artificial Intelligence
(5)
Architectures
(5)
Learning Paradigms · Machine Learning
(5)
Learning Paradigms · Artificial Intelligence
(4)
Optimization & Theory
(3)
Core AI
(2)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
spiking neural network
(4)
federated learning
(4)
edge computing
(3)
one-shot learning
(2)
energy consumption
(2)
sensor fusion
(1)
communication efficiency
(1)
incremental learning
(1)
activity recognition
(1)
privacy preserving
(1)
distributed learning
(1)
data privacy
(1)
laplace approximation
(1)
gradient compression
(1)
sequential recommendation
(1)
data heterogeneity
(1)
edge device
(1)
memory optimization
(1)
computational efficiency
(1)
knowledge distillation
(1)
Papers
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
IJCAI 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
IJCAI 2025
HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system
IJCAI 2025
One-shot Federated Learning Methods: A Practical Guide
IJCAI 2025
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices
IJCAI 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
NeurIPS 2024
Practical Hybrid Gradient Compression for Federated Learning Systems
IJCAI 2024