198 citations · 716 across the 42 of their papers we have counts for
10 papers · 1 filter
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
Minnan Luo, Xiaojun Chang, Chen Gong
Multimedia event detection is the task of detecting a specific event of interest in an user-generated video on websites. The most fundamental challenge facing this task lies in the…
Tackling the Local Bias in Federated Graph Learning
Binchi Zhang, Minnan Luo, Shangbin Feng +3
Federated graph learning (FGL) has become an important research topic in response to the increasing scale and the distributed nature of graph-structured data in the real world. In…
Semantics-Guided Contrastive Network for Zero-Shot Object detection
Caixia Yan, Xiaojun Chang, Minnan Luo +3
Zero-shot object detection (ZSD), the task that extends conventional detection models to detecting objects from unseen categories, has emerged as a new challenge in computer vision…
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers
Shangbin Feng, Zhaoxuan Tan, Rui Li +1
Twitter bot detection has become an important and challenging task to combat misinformation and protect the integrity of the online discourse. State-of-the-art approaches generally…
Legislator Representation Learning with Social Context and Expert Knowledge
Shangbin Feng, Zhaoxuan Tan, Zilong Chen +4
Modeling the ideological perspectives of political actors is an essential task in computational political science with applications in many downstream tasks. Existing approaches ar…
KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media
Shangbin Feng, Zilong Chen, Wenqian Zhang +4
Identifying political perspectives in news media has become an important task due to the rapid growth of political commentary and the increasingly polarized political ideologies. P…