activity
20212025
most citedAdaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2025

ECCENTRIC: Edge-Cloud Collaboration Framework for Distributed Inference Using Knowledge Adaptation

Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen

The massive growth in the utilization of edge AI has made the applications of machine learning models ubiquitous in different domains. Despite the computation and communication eff…

cs.SD2023

HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification

Zhongjie Yu, Shuyang Wang, Lin Chen +1

Few-shot audio classification is an emerging topic that attracts more and more attention from the research community. Most existing work ignores the specificity of the form of the…

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.CV2021★ 1 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…