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Bin Yang Teaching Portfolio
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Bin Yang
Ph.D.
Professor
,
Institut for Datalogi
Professor
,
Det Tekniske Fakultet for IT og Design
Professor
,
Data Engineering, Science and Systems
AI for the People
Daisy – Center for Data-intensive Systemer
Artificial Intelligence and Machine Learning
https://orcid.org/0000-0002-1658-1079
Fastnet
9940 9976
E-mail
byang
cs.aau
dk
Websted
http://people.cs.aau.dk/~byang/
Selma Lagerløfs Vej 300
,
3-2-46
9220
Aalborg Ø
Danmark
2009
2024
Publikationer pr. år
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Netværk
Projekter
(6)
Publikationer
(97)
Forskningsdatasæt
(15)
Priser
(7)
Presse/medier
(10)
Lignende profiler
(7)
Ph.d.-vejledning
(5)
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Vægt
Alfabetisk
Computer Science
Algorithms
100%
Alternative Path
16%
Analytics Platform
37%
Anomaly Detection
32%
Art Performance
20%
Assignment Problem
24%
Attention (Machine Learning)
20%
Autoencoder
89%
Bluetooth
18%
Contrastive Learning
21%
Crowdsourcing Platform
20%
Cyber Physical Systems
24%
Data Analytics
37%
Data Record
16%
Data Transformation
16%
Deep Neural Network
37%
Destination Pair
34%
Detailed Insight
26%
Extended Version
55%
Graph Convolutional Network
34%
Learning Framework
31%
Model Compression
20%
Modeling
30%
Multiple Time Series
28%
Multivariate Time Series
29%
Path Representation
81%
Path Selection
16%
Prevents
19%
Problem Setting
19%
Query Processing
56%
Recurrent Neural Network
45%
Regression Problem
27%
Relationships
21%
Representation Learning
87%
Roles
37%
Routing Algorithm
29%
Routing Service
24%
Search Space
28%
Shortest Path Problem
32%
Social Medium Data
16%
Spatiotemporal Data
37%
Temporal Dynamic
26%
Time Dimension
16%
Traffic Condition
24%
Trajectory Data
90%
Unsupervised Domain Adaptation
16%
User
81%
Vehicle Routing
36%
Wayfinding
32%
weighted graph
27%
Engineering
Combines
10%
Convolutional Neural Network
5%
Cyber-Physical Systems
16%
Data Series
19%
Dataset
41%
Deep Neural Network
16%
Demonstrates
18%
Design Choice
8%
Development
8%
Dimensionality
5%
Distillation
16%
End-Users
8%
Environmental Impact
5%
Error
6%
Experiments
11%
External Memory
5%
Facilities
8%
Filtration
16%
Fluctuations
9%
Foundations
7%
GPS Data
8%
Histogram
16%
Indoor Space
6%
Internals
5%
Limitations
11%
Mining
7%
Model Parameter
12%
Models
88%
Multiscale
16%
Multiscale Modeling
6%
Particular Matter 2.5
16%
Random Variable ξ
16%
Recurrent
16%
Recurrent Neural Network
5%
Reduction
13%
Risk Averse
8%
Road
42%
Road Network
32%
Road Transportation
8%
Sensor
16%
State-of-the-Art Method
6%
Tasks
11%
Travel Speed
24%
Vehicle to Grid
16%