Publications (11)
Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
Claas Beger, Ryan Yi, Shuhao Fu +5
OpenAI's o3-preview reasoning model exceeded human accuracy on the ARC-AGI-1 benchmark, but does that mean state-of-the-art models recognize and reason with the abstractions the be…
Synthetic Data Generation with LLM for Improved Depression Prediction
Andrea Kang, Jun Yu Chen, Zoe Lee-Youngzie +1
Automatic detection of depression is a rapidly growing field of research at the intersection of psychology and machine learning. However, with its exponential interest comes a grow…
Attack-Resistant Federated Learning with Residual-based Reweighting
Shuhao Fu, Chulin Xie, Bo Li +1
Federated learning has a variety of applications in multiple domains by utilizing private training data stored on different devices. However, the aggregation process in federated l…
Zero-shot visual reasoning through probabilistic analogical mapping
Taylor W. Webb, Shuhao Fu, Trevor Bihl +2
Human reasoning is grounded in an ability to identify highly abstract commonalities governing superficially dissimilar visual inputs. Recent efforts to develop algorithms with this…
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Shuhao Fu, Andrew Jun Lee, Anna Wang +4
The visual world is fundamentally compositional. Visual scenes are defined by the composition of objects and their relations. Hence, it is essential for computer vision systems to…
5G MEC Computation Handoff for Mobile Augmented Reality
Pengyuan Zhou, Shuhao Fu, Benjamin Finley +5
The combination of 5G and Multi-access Edge Computing (MEC) can significantly reduce application delay by lowering transmission delay and bringing computational capabilities closer…