activity
20182021
most citedA Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

26 citations · 37 across the 3 of their papers we have counts for

collaborators

10 papers

cs.HC2021

Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming

Mingyuan Zhong, Gang Li, Yang Li

User interface design is a complex task that involves designers examining a wide range of options. We present Spacewalker, a tool that allows designers to rapidly search a large de…

cs.HC202011 cited

Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders

Yang Li, Julien Amelot, Xin Zhou +2

It has been of increasing interest in the field to develop automatic machineries to facilitate the design process. In this paper, we focus on assisting graphical user interface (UI…

cs.LG201926 cited

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

Xuanqing Liu, Si Si, Xiaojin Zhu +2

In this paper, we proposed a general framework for data poisoning attacks to graph-based semi-supervised learning (G-SSL). In this framework, we first unify different tasks, goals,…

cs.LG2019

Robustness Verification of Tree-based Models

Hongge Chen, Huan Zhang, Si Si +3

We study the robustness verification problem for tree-based models, including decision trees, random forests (RFs) and gradient boosted decision trees (GBDTs). Formal robustness ve…

cs.LG2019

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Wei-Lin Chiang, Xuanqing Liu, Si Si +3

Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorit…

cs.CV2018

You Look Twice: GaterNet for Dynamic Filter Selection in CNNs

Zhourong Chen, Yang Li, Samy Bengio +1

The concept of conditional computation for deep nets has been proposed previously to improve model performance by selectively using only parts of the model conditioned on the sampl…