103 citations · 179 across the 9 of their papers we have counts for
9 papers
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
Weilin Cong, Yanhong Wu, Yuandong Tian +4
Transformers have achieved great success in several domains, including Natural Language Processing and Computer Vision. However, its application to real-world graphs is less explor…
VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce
Tan Tang, Yanhong Wu, Lingyun Yu +2
Video moderation, which refers to remove deviant or explicit content from e-commerce livestreams, has become prevalent owing to social and engaging features. However, this task is…
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
Yuhang Wu, Sunpreet S. Arora, Yanhong Wu +1
Adversarial examples are input examples that are specifically crafted to deceive machine learning classifiers. State-of-the-art adversarial example detection methods characterize a…
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Aravind Sankar, Yanhong Wu, Yuhang Wu +3
We study the problem of making item recommendations to ephemeral groups, which comprise users with limited or no historical activities together. Existing studies target persistent…
Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity
Yong Wang, Daniel Archambault, Hammad Haleem +3
Uniform timeslicing of dynamic graphs has been used due to its convenience and uniformity across the time dimension. However, uniform timeslicing does not take the data set into ac…
Solving Pictorial Jigsaw Puzzle by Stigmergy-inspired Internet-based Human Collective Intelligence
Bo Shen, Wei Zhang, Haiyan Zhao +2
The pictorial jigsaw (PJ) puzzle is a well-known leisure game for humans. Usually, a PJ puzzle game is played by one or several human players face-to-face in the physical space. In…
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar, Yanhong Wu, Liang Gou +2
Learning latent representations of nodes in graphs is an important and ubiquitous task with widespread applications such as link prediction, node classification, and graph visualiz…
Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts
Po-Ming Law, Yanhong Wu, Rahul C. Basole
Getting the overall picture of how a large number of ego-networks evolve is a common yet challenging task. Existing techniques often require analysts to inspect the evolution patte…
SkyLens: Visual Analysis of Skyline on Multi-dimensional Data
Xun Zhao, Yanhong Wu, Weiwei Cui +5
Skyline queries have wide-ranging applications in fields that involve multi-criteria decision making, including tourism, retail industry, and human resources. By automatically remo…