38 citations · 42 across the 6 of their papers we have counts for
6 papers
UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification
Minhao Zou, Zhongxue Gan, Yutong Wang +4
Graph and hypergraph representation learning has attracted increasing attention from various research fields. Despite the decent performance and fruitful applications of Graph Neur…
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
Siao Liu, Zhaoyu Chen, Yang Liu +8
Learning a policy with great generalization to unseen environments remains challenging but critical in visual reinforcement learning. Despite the success of augmentation combinatio…
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
Chong Yu, Tao Chen, Zhongxue Gan
Adversarial attack is commonly regarded as a huge threat to neural networks because of misleading behavior. This paper presents an opposite perspective: adversarial attacks can be…
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
Chong Yu, Tao Chen, Zhongxue Gan +1
The transformer extends its success from the language to the vision domain. Because of the stacked self-attention and cross-attention blocks, the acceleration deployment of vision…
FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow
Wenchao Ding, Jieru Zhao, Yubin Chu +5
There is extensive literature on perceiving road structures by fusing various sensor inputs such as lidar point clouds and camera images using deep neural nets. Leveraging the late…
Efficient universal shuffle attack for visual object tracking
Siao Liu, Zhaoyu Chen, Wei Li +4
Recently, adversarial attacks have been applied in visual object tracking to deceive deep trackers by injecting imperceptible perturbations into video frames. However, previous wor…