Wenlu Wang, Ph.D.

 

  Assistant Professor

  Department of Computing Sciences

  Texas A&M University Corpus Christi

   Email: wenlu.wang.1 AT gmail DOT com

   Recruiting

 

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

 

 A picture containing drawing, food

Description automatically generated Smart O2O Food Delivery (Collaboration with Instacart)

o   Large-scale grocery delivery optimization.

 

Logo, company name

Description automatically generated RDBMS query optimization (Collaboration with Microsoft)

 

o   Evaluation of Attribute Distribution Approximation for Query Optimization

 

GeoSpatial Data Modeling & Smart City

A picture containing drawing

Description automatically generated

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

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