activity
20172022
most citedAdversarial and Clean Data Are Not Twins

101 citations · 210 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2022★ 15 cited

A Transformer-based Generative Model for De Novo Molecular Design

Wenlu Wang, Ye Wang, Honggang Zhao +1

In the scope of drug discovery, the molecular design aims to identify novel compounds from the chemical space where the potential drug-like molecules are estimated to be in the ord…

cs.AI2022★ 1 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.CL2019★ 19 cited

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.AI2018★ 18 cited

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.CL2018★ 56 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.…

cs.LG2017★ 101 cited

Adversarial and Clean Data Are Not Twins

Zhitao Gong, Wenlu Wang, Wei-Shinn Ku

Adversarial attack has cast a shadow on the massive success of deep neural networks. Despite being almost visually identical to the clean data, the adversarial images can fool deep…