22 citations · 42 across the 8 of their papers we have counts for
8 papers
STAR: A Benchmark for Situated Reasoning in Real-World Videos
Bo Wu, Shoubin Yu, Zhenfang Chen +2
Reasoning in the real world is not divorced from situations. How to capture the present knowledge from surrounding situations and perform reasoning accordingly is crucial and chall…
Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis
Chang Liu, Bo Wu
Large Language Models (LLMs) have garnered considerable interest within both academic and industrial. Yet, the application of LLMs to graph data remains under-explored. In this stu…
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading
Vikram Duvvur, Aashay Mehta, Edward Sun +3
The use of machine learning in algorithmic trading systems is increasingly common. In a typical set-up, supervised learning is used to predict the future prices of assets, and thos…
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs
Loc Hoang, Rita Brugarolas Brufau, Ke Ding +1
We present BatchGNN, a distributed CPU system that showcases techniques that can be used to efficiently train GNNs on terabyte-sized graphs. It reduces communication overhead with…
Learning Situation Hyper-Graphs for Video Question Answering
Aisha Urooj Khan, Hilde Kuehne, Bo Wu +5
Answering questions about complex situations in videos requires not only capturing the presence of actors, objects, and their relations but also the evolution of these relationship…
Knowledge forest: a novel model to organize knowledge fragments
Qinghua Zheng, Jun Liu, Hongwei Zeng +3
With the rapid growth of knowledge, it shows a steady trend of knowledge fragmentization. Knowledge fragmentization manifests as that the knowledge related to a specific topic in a…
SMP Challenge: An Overview of Social Media Prediction Challenge 2019
Bo Wu, Wen-Huang Cheng, Peiye Liu +3
"SMP Challenge" aims to discover novel prediction tasks for numerous data on social multimedia and seek excellent research teams. Making predictions via social multimedia data (e.g…
Bibliometric Index for Academic Leadership
Yang Liu, Fengrong Ou, Yan Deng +9
Academic leadership is essential for research innovation and impact. Until now, there has been no dedicated measure of leadership by bibliometrics. Popular bibliometric indices are…