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Dr Heng Yu
Assistant Professor in Computer Science
School of Computer Science
Artificial Intelligence and Optimisation Research Group
https://orcid.org/0000-0002-0305-2135
Email
Heng.Yu
nottingham.edu
cn
2008
2025
Research activity per year
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Research output
(41)
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(6)
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Dive into the research topics where Heng Yu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Dynamic Voltage Frequency Scaling
87%
Embedded Systems
68%
Dynamic Scheduling
60%
Quality Optimization
52%
Adaptive Applications
50%
Frequency Scaling
48%
Energy Conservation
47%
Dynamic Voltage Scaling
44%
Application Scheduling
40%
Quality of Service
40%
Execution Quality
34%
Multiprocessor Systems
33%
Stereo Matching
31%
Output Quality
31%
Reliability Maximization
30%
Scrubbing
30%
SRAM-based FPGA
30%
Computational Tasks
30%
Imprecise Computation
30%
Time-adaptive
30%
Stereo Matching Algorithm
27%
Voltage Scaling
25%
Temperature Constraint
25%
Energy Efficiency
25%
Time Delay Estimation
22%
Energy Optimization
21%
Temperature Control
21%
Timing Path
21%
Spatial-temporal
21%
Dependent Inputs
20%
Application Mapping
20%
NoC-based MPSoC
20%
Communication-aware
20%
Placement Algorithm
20%
Directional Routing
20%
3D FPGA
20%
Cache Memory
20%
Worst-case Execution Time
20%
Retweeting
20%
Smart Vehicle
20%
Cross-level
20%
Quality Estimation
20%
Routing Architecture
20%
Parallel Tasks
20%
Trust Computation
20%
Linguistic Style
20%
Energy Consumption Optimization
20%
FPGA-based
20%
Deep Reinforcement Learning (deep RL)
20%
Data Reuse
20%
Computer Science
Embedded Systems
100%
Energy Efficiency
60%
Dynamic Voltage and Frequency Scaling
57%
Quality of Service
50%
multi-processor
45%
Experimental Result
45%
Scheduling Method
42%
Application Execution
41%
Execution Time
40%
Scheduling Algorithm
36%
Temperature Control
35%
System Resource
32%
Stereo Matching
31%
Quadratic Programming
27%
Matching Algorithm
27%
Effective Temperature
27%
Thermal Management
27%
Approximate Computing
25%
runtime system
25%
Application Level
25%
Convolutional Neural Network
22%
Multiprocessor System
22%
Scheduling Problem
22%
Feature Scaling
21%
Scheduling Scheme
20%
JPEG2000
20%
Multimedia Application
20%
Worst-Case Execution Time
20%
Worst-Case Execution Time Analysis
20%
Cache Memory
20%
Scheduling Requirement
20%
Unified Communication
20%
Selection Method
20%
Data Locality
20%
Task Selection
20%
Frequency Level
20%
End Application
20%
Target Distribution
20%
Paradigm Design
20%
Placement Algorithm
20%
Search Heuristic
20%
Shadow Register
20%
Simulated Annealing
20%
Distributed Network
20%
Data Reuse
20%
Recommendation Trust
20%
Real Application
20%
Benchmarking
20%
Object Detection
20%
Deep Reinforcement Learning
20%
