43 citations · 60 across the 5 of their papers we have counts for
6 papers
Characterizing Scalability Issues in Spreadsheet Software using Online Forums
Kelly Mack, John Lee, Kevin Chang +2
In traditional usability studies, researchers talk to users of tools to understand their needs and challenges. Insights gained via such interviews offer context, detail, and backgr…
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang, Vincent W. Zheng, Zemin Liu +1
In this paper, we study the problem of using representation learning to assist information diffusion prediction on graphs. In particular, we aim at estimating the probability of an…
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness
Carl Yang, Kevin Chen-Chuan Chang
On social networks, while nodes bear rich attributes, we often lack the `semantics' of why each link is formed-- and thus we are missing the `road signs' to navigate and organize t…
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management
Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou +2
Spreadsheet software is the tool of choice for interactive ad-hoc data management, with adoption by billions of users. However, spreadsheets are not scalable, unlike database syste…
Active Learning for Graph Embedding
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
Graph embedding provides an efficient solution for graph analysis by converting the graph into a low-dimensional space which preserves the structure information. In contrast to the…
Multiple Location Profiling for Users and Relationships from Social Network and Content
Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang
Users' locations are important for many applications such as personalized search and localized content delivery. In this paper, we study the problem of profiling Twitter users' loc…