activity
20182022
most citedAdversarial Texts with Gradient Methods

56 citations · 57 across the 2 of their papers we have counts for

collaborators

6 papers

cs.AI20221 cited

RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques

Bo Hui, Wenlu Wang, Jiao Yu +4

People spend a significant amount of time in indoor spaces (e.g., office buildings, subway systems, etc.) in their daily lives. Therefore, it is important to develop efficient indo…

cs.LG2020

Deep Multi-attribute Graph Representation Learning on Protein Structures

Tian Xia, Wei-Shinn Ku

Graphs as a type of data structure have recently attracted significant attention. Representation learning of geometric graphs has achieved great success in many fields including mo…

cs.CL2019

SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension

Jingjing Li, Wenlu Wang, Wei-Shinn Ku +2

A natural language interface (NLI) to databases is an interface that translates a natural language question to a structured query that is executable by database management systems…

cs.CV2018

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Michael A. Alcorn, Qi Li, Zhitao Gong +4

Despite excellent performance on stationary test sets, deep neural networks (DNNs) can fail to generalize to out-of-distribution (OoD) inputs, including natural, non-adversarial on…

cs.AI2018

A Transfer-Learnable Natural Language Interface for Databases

Wenlu Wang, Yingtao Tian, Hongyu Xiong +2

Relational database management systems (RDBMSs) are powerful because they are able to optimize and answer queries against any relational database. A natural language interface (NLI…

cs.CL201856 cited

Adversarial Texts with Gradient Methods

Zhitao Gong, Wenlu Wang, Bo Li +2

Adversarial samples for images have been extensively studied in the literature. Among many of the attacking methods, gradient-based methods are both effective and easy to compute.…