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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
2024
Research activity per year
Overview
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Research output
(38)
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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
79%
Embedded Systems
65%
Dynamic Scheduling
64%
Adaptive Applications
55%
Quality Optimization
47%
Energy Conservation
46%
Frequency Scaling
43%
Application Scheduling
42%
Dynamic Voltage Scaling
40%
Multiprocessor Systems
39%
Execution Quality
37%
Time-adaptive
36%
Quality of Service
36%
Stereo Matching
28%
Output Quality
28%
Reliability Maximization
27%
Scrubbing
27%
SRAM-based FPGA
27%
Computational Tasks
27%
Imprecise Computation
27%
Stereo Matching Algorithm
25%
Guided Search
24%
Voltage Scaling
23%
Temperature Constraint
23%
Energy Efficiency
23%
Time Delay Estimation
20%
Energy Optimization
19%
Temperature Control
19%
Timing Path
19%
Spatial-temporal
19%
Dependent Inputs
18%
Application Mapping
18%
NoC-based MPSoC
18%
Communication-aware
18%
Placement Algorithm
18%
Directional Routing
18%
3D FPGA
18%
Cache Memory
18%
Worst-case Execution Time
18%
Retweeting
18%
Smart Vehicle
18%
Cross-level
18%
Quality Estimation
18%
Routing Architecture
18%
Parallel Tasks
18%
Quality-oriented
18%
Trust Computation
18%
Linguistic Style
18%
Energy Consumption Optimization
18%
FPGA-based
18%
Computer Science
Embedded Systems
100%
Energy Efficiency
55%
Dynamic Voltage and Frequency Scaling
52%
multi-processor
50%
Experimental Result
50%
Application Execution
47%
Quality of Service
46%
Multiprocessor System
38%
Scheduling Method
38%
Execution Time
36%
Scheduling Algorithm
33%
Temperature Control
32%
System Resource
29%
Scheduling Problem
29%
Stereo Matching
28%
Scheduling Scheme
27%
JPEG2000
27%
Multimedia Application
27%
Quadratic Programming
25%
Matching Algorithm
25%
Effective Temperature
24%
Thermal Management
24%
Approximate Computing
23%
runtime system
23%
Application Level
23%
Convolutional Neural Network
20%
Feature Scaling
19%
Worst-Case Execution Time
18%
Worst-Case Execution Time Analysis
18%
Cache Memory
18%
Scheduling Requirement
18%
Unified Communication
18%
Selection Method
18%
Data Locality
18%
Task Selection
18%
Frequency Level
18%
End Application
18%
Target Distribution
18%
Paradigm Design
18%
Search Algorithm
18%
Placement Algorithm
18%
Search Heuristic
18%
Shadow Register
18%
Simulated Annealing
18%
Distributed Network
18%
Data Reuse
18%
Recommendation Trust
18%
Real Application
18%
Benchmarking
18%
Object Detection
18%
