activity
20192022
most citedAdaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2022

FedRule: Federated Rule Recommendation System with Graph Neural Networks

Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng +3

Much of the value that IoT (Internet-of-Things) devices bring to ``smart'' homes lies in their ability to automatically trigger other devices' actions: for example, a smart camera…

cs.CV2022

Package Theft Detection from Smart Home Security Cameras

Hung-Min Hsu, Xinyu Yuan, Baohua Zhu +2

Package theft detection has been a challenging task mainly due to lack of training data and a wide variety of package theft cases in reality. In this paper, we propose a new Global…

cs.CV20211 cited

Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation

Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng +1

Knowledge Distillation is becoming one of the primary trends among neural network compression algorithms to improve the generalization performance of a smaller student model with g…

cs.LG2019

TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

Zhongjie Yu, Lin Chen, Zhongwei Cheng +1

The successful application of deep learning to many visual recognition tasks relies heavily on the availability of a large amount of labeled data which is usually expensive to obta…

cs.CV2019

Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation

Yiming Xu, Lin Chen, Zhongwei Cheng +2

We study the problem of visual question answering (VQA) in images by exploiting supervised domain adaptation, where there is a large amount of labeled data in the source domain but…

cs.SD2019

AI for Earth: Rainforest Conservation by Acoustic Surveillance

Yuan Liu, Zhongwei Cheng, Jie Liu +3

Saving rainforests is a key to halting adverse climate changes. In this paper, we introduce an innovative solution built on acoustic surveillance and machine learning technologies…