Wenlu Wang, Ph.D.
Assistant Professor
Department of Computing Sciences
Texas A&M University Corpus Christi
Email: wenlu.wang.1 AT gmail
DOT com
Research interests: GeoSpatial Data Science, Deep Learning, and Adversarial Machine
Learning.
Publication Research
Education Talks Professional Services & Teaching Experiences Awards
& Honors
Publication
LShape Partitioning: Parallel Skyline Query
Processing using MapReduce
H
Wijayanto, W Wang, WS Ku, and LP Chen
ICDE
2021 Poster
A
Natural Language Interface for Database: Achieving Transfer-learnability Using
Adversarial Method for Question Understanding [paper]
[code]
W
Wang,
Y Tian, H Wang, WS Ku
ICDE
2020
Predicting
Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach
[paper]
B
Hui, D Yan, WS Ku, W Wang
CIKM
2020
LShape Partitioning: Parallel Skyline Query
Processing using MapReduce
H
Wijayanto, W Wang, WS Ku, and LP Chen
TKDE
2020
A
Cross-domain Natural Language Interface To Databases Using
Adversarial Text Method [paper] [code]
W Wang
VLDB
PhD workshop 2019
SpatialNLI:
A Spatial Domain Natural Language Interface to Databases Using Spatial
Comprehension [paper] [code] [preprint] [slides]
W
Wang*, J Li*, WS Ku, Y Tian, H Wang (*equal contribution)
SIGSPATIAL 2019 (Acceptance rate 21.7%)
A Scalable Spatial Skyline Evaluation System
Utilizing Parallel Independent Region Groups [paper]
W Wang, J Zhang, MT Sun, and WS Ku
Very Large Data Bases Journal
(VLDBJ)
An MBR-Oriented Approach for
Efficient Skyline Query Processing [paper]
J Zhang, W Wang, X Jiang, WS
Ku, and H Lu
ICDE 2019
On
Location Privacy in Fingerprinting-based Indoor Positioning System: An
Encryption Approach [paper] [slides]
W
Wang, Z Gong, J Zhang, H Lu, WS Ku
SIGSPATIAL 2019 (Acceptance rate 21.7%)
A VLOS Compliance
Solution to Ground/Aerial Parcel Delivery Problem [paper]
J Zhang, T Shen, W Wang, X Jiang, WS
Ku, MT Sun, and YY Chiang
MDM
2019 (invited
to Best of MDM 2019 special issue)
Efficient
Parallel Spatial Skyline Evaluation Using MapReduce [paper]
W Wang, J Zhang, MT Sun, and WS Ku
EDBT 2017 (Acceptance rate 22%)
Recommendation-based Smart
Indoor Navigation [paper]
W Wang and WS Ku
ACM/IEEE IoTDI 2017
SRC Dynamic Indoor Navigation with Bayesian Filters [paper]
W Wang and WS Ku
SIGSPATIAL Special 2016
Research
Ongoing
Project
Smart O2O Food Delivery (Collaboration
with Instacart)
o Large-scale grocery delivery
optimization.
RDBMS query optimization (Collaboration with Microsoft)
o
Evaluation of Attribute Distribution
Approximation for Query Optimization
GeoSpatial Data Modeling & Smart City
Economic-related GeoSpatial Data Analysis (Collaboration with WeWork
Research)
Learned a distributional embedding to model
the dynamics of regional economics.
Also devised
a natural language interface to databases (NLIDB) for GeoSpatial domain.
o
Predicting Economic Growth
by Region Embedding paper
o SpatialNLI: A Spatial Domain Natural Language Interface to Databases paper
Deep Model
Interpretation
o Adversarial
data and clean data are not twins paper
Natural Language Interface to Databases
Designed transfer-learning techniques for NLIDB models using adversarial mechanism.
o Transfer-Learnable NLIDB paper
o Cross-domain NLIDB using Adversarial Text Method paper
o SpatialNLI: A Spatial Domain Natural Language Interface to Databases paper
Query
Optimization
Parallel Query Processing
o
LShape Partitioning: Parallel Skyline Query Processing
using MapReduce [TKDE 2020]
o
A scalable spatial skyline
evaluation system utilizing parallel independent region groups [VLDB Journal
2019]
o
An MBR-Oriented Approach
for Efficient Skyline Query Processing [ICDE 2019]
Education
Auburn University
Ph.D. Computer Science, 2020
New York University
M.S. in Computer Science, 2014
Beihang University
B.S. in Computer Science, 2012
Talks
ICDE (Oral presentation) Virtual 2020
“Transfer-learnable natural language interface.” Invited talk. University of Toledo 2020
ACM
SIGSPATIAL (Oral presentations) Chicago 2019
VLDB
(Oral presentation) Los Angeles 2019
ACM/IEEE
CPS WEEK (Poster presentation) Pittsburgh 2017
ACM
SIGSPATIAL Student Research Competition
San Francisco 2016
Experiences
Baidu Inc.: Software
Engineer. 2014
Professional Services & Teaching
Invited Reviewer
IEEE
Vehicular Technology Magazine (VTM) 2021
IEEE Transactions on Knowledge
and Data Engineering (TKDE)
2020
Springer Knowledge and
Information Systems (KAIS)
2020
IEEE Transactions on Big Data (TBD) 2019
Teaching
Deep Learning
Awards & Honors
Auburn University Graduate School
Distinguished Dissertation Awards nominee 2021
ACM/IEEE CPS WEEK student travel award 2017
Bronze Medal ACM SIGSPATIAL Student Research Competition (sponsored by Microsoft) 2016
ACM SIGSPATIAL student travel award 2016