activity
20212023
most citedA Survey of Secure Computation Using Trusted Execution Environments

8 citations · 18 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NE2023

CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization

Feng-Feng Wei, Wei-Neng Chen, Xiao-Qi Guo +3

Crowdsourcing is an emerging computing paradigm that takes advantage of the intelligence of a crowd to solve complex problems effectively. Besides collecting and processing data, i…

cs.NE20231 cited

When Evolutionary Computation Meets Privacy

Bowen Zhao, Wei-Neng Chen, Xiaoguo Li +3

Recently, evolutionary computation (EC) has been promoted by machine learning, distributed computing, and big data technologies, resulting in new research directions of EC like dis…

cs.HC2023

GazeReader: Detecting Unknown Word Using Webcam for English as a Second Language (ESL) Learners

Jiexin Ding, Bowen Zhao, Yuqi Huang +2

Automatic unknown word detection techniques can enable new applications for assisting English as a Second Language (ESL) learners, thus improving their reading experiences. However…

cs.CR20238 cited

A Survey of Secure Computation Using Trusted Execution Environments

Xiaoguo Li, Bowen Zhao, Guomin Yang +3

As an essential technology underpinning trusted computing, the trusted execution environment (TEE) allows one to launch computation tasks on both on- and off-premises data while as…

cs.LG20231 cited

Delving into Identify-Emphasize Paradigm for Combating Unknown Bias

Bowen Zhao, Chen Chen, Qian-Wei Wang +2

Dataset biases are notoriously detrimental to model robustness and generalization. The identify-emphasize paradigm appears to be effective in dealing with unknown biases. However,…

cs.LG20238 cited

DELTA: degradation-free fully test-time adaptation

Bowen Zhao, Chen Chen, Shu-Tao Xia

Fully test-time adaptation aims at adapting a pre-trained model to the test stream during real-time inference, which is urgently required when the test distribution differs from th…