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Chi ZHOU, Prof
Assistant Professor
,
Department of Computer Science
https://orcid.org/0000-0002-9773-9332
Email
amelieczhou
hkbu.edu
hk
2022
2025
Research activity per year
Overview
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Network
Projects / Grants
(1)
Research Output
(18)
Prizes / Awards
(3)
Activities
(7)
Similar Scholars
(6)
Supervised Work
(2)
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Dive into the research topics where Chi ZHOU is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Keyphrases
Geo-distributed Data Centers
69%
Geo-distributed
46%
Large Language Models
46%
Privacy-preserving
46%
Low Latency
42%
In-memory
30%
Network Performance
28%
Geographically Distributed
27%
Data Center Interconnect
24%
Distributed Stream Processing
23%
Key Separation
23%
Adaptive Partitioning
23%
KV Store
23%
Non-volatile Memory
23%
HPC Applications
23%
Array Databases
23%
Cloud Spot Market
23%
Key Splitting
23%
Workflow Scheduling
23%
Packet Reordering
23%
Packet Forwarding
23%
Data Processing Workflow
23%
End System
23%
Federated Averaging
23%
Processing-In-Memory Architectures
23%
Bandwidth-aware
23%
Deep Learning Recommendation Models
23%
Memory Bandwidth
23%
Data Privacy
23%
Partitioner
23%
Videoconferencing
23%
Personalized Recommendation
23%
Model Serving
23%
Graph Analytics
23%
Serverless Computing
23%
Communication-efficient Federated Learning
23%
Writing Performance
23%
Large Graphs
23%
Fault Tolerance
23%
Graph Signal Processing
23%
Scientific Workflows
23%
Resource Optimization
23%
Pre-trained Language Model
23%
System Dynamics
23%
Resource Provisioning
23%
Federated Learning
23%
Probabilistic Approach
23%
Load Balancing
23%
Monetary Cost
23%
Progressive Model
23%
Computer Science
Data Center
100%
Large Language Model
69%
Privacy Preserving
46%
fault-tolerance
46%
Federated Learning
46%
Graph Analytics
38%
Dynamic Partitioning
30%
Partitioning Method
30%
Evaluation Result
27%
Network Performance
26%
Serverless Computing
23%
Non-Volatile Memory
23%
Tolerance Technique
23%
Application Cost
23%
Key Separation
23%
Deep Reinforcement Learning
23%
Memory Bandwidth
23%
Resource Utilisation
23%
Prediction Error
23%
Public Cloud
23%
Capacity Constraint
23%
Stream Processing
23%
Deep Learning Method
23%
Optimization Framework
23%
Probabilistic Approach
23%
System Dynamic
23%
Data Processing
23%
Resource Provisioning
23%
Memory Architecture
23%
Videoconferencing
23%
Storage Capacity
23%
Neighbour Search
23%
Query Engine
23%
Triangle Inequality
23%
Graph Partition
23%
Code Generation
23%
Scientific Data
17%
Scientific Application
17%
Data Privacy
17%
Scientific Workflow
17%
Experimental Result
16%
Graphics Processing Unit
15%
Load Balancing
15%
Reinforcement Learning
15%
Sampling Algorithm
15%
Multi-Agent Reinforcement Learning
15%
Static Partitioning
15%
Distributed Environment
13%
World Application
11%
Operating System
11%
