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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
(17)
Prizes / Awards
(3)
Activities
(7)
Similar Scholars
(6)
Supervised Work
(2)
Fingerprint
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
Adaptive Partitioning
23%
Array Databases
23%
Bandwidth-aware
23%
Cloud Spot Market
23%
Communication-efficient Federated Learning
23%
Data Center Interconnect
24%
Data Privacy
23%
Data Processing Workflow
23%
Deep Learning Recommendation Models
23%
Distributed Stream Processing
23%
End System
23%
Fault Tolerance
23%
Federated Averaging
23%
Federated Learning
23%
Geo-distributed
46%
Geo-distributed Data Centers
69%
Geographically Distributed
27%
Graph Analytics
23%
Graph Signal Processing
23%
HPC Applications
23%
In-memory
30%
Key Separation
23%
Key Splitting
23%
KV Store
23%
Large Graphs
23%
Large Language Models
46%
Load Balancing
23%
Low Latency
42%
Memory Bandwidth
23%
Model Serving
23%
Monetary Cost
23%
Network Performance
28%
Non-volatile Memory
23%
Packet Forwarding
23%
Packet Reordering
23%
Partitioner
23%
Personalized Recommendation
23%
Pre-trained Language Model
23%
Privacy-preserving
46%
Probabilistic Approach
23%
Processing-In-Memory Architectures
23%
Progressive Model
23%
Resource Optimization
23%
Resource Provisioning
23%
Scientific Workflows
23%
Serverless Computing
23%
System Dynamics
23%
Videoconferencing
23%
Workflow Scheduling
23%
Writing Performance
23%
Computer Science
Application Cost
23%
Capacity Constraint
23%
Data Center
100%
Data Privacy
17%
Data Processing
23%
Database Version
11%
Deep Learning Method
23%
Deep Reinforcement Learning
23%
Distributed Environment
13%
Dynamic Partitioning
30%
Evaluation Result
23%
Experimental Result
16%
fault-tolerance
46%
Federated Learning
46%
Graph Analytics
38%
Graph Partition
23%
Graphics Processing Unit
15%
Key Separation
23%
Large Language Model
46%
Load Balancing
15%
Memory Architecture
23%
Memory Bandwidth
23%
Multi-Agent Reinforcement Learning
15%
Neighbour Search
23%
Network Performance
26%
Non-Volatile Memory
23%
Operating System
11%
Optimization Framework
23%
Partitioning Method
30%
Prediction Error
23%
Privacy Preserving
46%
Probabilistic Approach
23%
Public Cloud
23%
Query Engine
23%
Reinforcement Learning
15%
Resource Provisioning
23%
Resource Utilisation
23%
Sampling Algorithm
15%
Scientific Application
17%
Scientific Data
17%
Scientific Workflow
17%
Serverless Computing
23%
Static Partitioning
15%
Storage Capacity
23%
Stream Processing
23%
System Dynamic
23%
Tolerance Technique
23%
Triangle Inequality
23%
Videoconferencing
23%
World Application
11%
