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Cheung-Wei Lam

Also published under: Cheng Wei Lam, Cheung-wei Lam, Cheung Wei Lam

Publications

Citations

188

Publications by Year

20092023

Co-Authors:

Daryl BeetnerAnkit BhargavaFederico CentolaXin ChangXiong Chen

Show All Co-Authors (29)

Cheung-Wei Lam

Also published under: Cheng Wei Lam, Cheung-wei Lam, Cheung Wei Lam

Affiliation

Apple Inc., Cupertino, USA

Publication Topics

Measurement Setup,
Discharge Current,
Electrostatic Discharge,
Peak Current,
Rise Time,
Thick Glass,
Bias Current,
Circuit Model,
Corona Discharge,
Displacement Current,
Equivalent Circuit,
Excitation Source

Biography

Cheung-Wei Lam (Member, IEEE) received the B.S. degree from The Chinese University of Hong Kong, Hong Kong, in 1987, and the M.S. and Ph.D. degrees from MIT, Cambridge, MA, USA, in 1989 and 1993, respectively.,He was the Co-Founder of Transcendent Design Technology, Camarillo, CA, USA, and a Principal Engineer with Quad Design Technology, Camarillo. He is currently a Distinguished Engineer and the Chief EM Technologist with Apple, Cupertino, CA, USA. He has given numerous invited presentations on electromagnetic compatibility (EMC)/radio frequency interference (RFI) design and simulation in the USA, Canada, Europe, and Asia.,Dr. Lam currently serves as an IEEE EMC Society Respected Speaker and was a past IEEE EMC Society Distinguished Lectu...

Publications

Citations

188

Publications by Year

20092023

Co-Authors:

Daryl Beetner
Ankit Bhargava
Federico Centola
Xin Chang
Xiong Chen

Show All Co-Authors (29)

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Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Yiqian Xu;Ruofan Wang;Rui-Wei Zhao;Xingxing Xiao;Rui Feng

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

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Open set recognition (OSR) for medical images is vital to ensure practical safeguards in clinical applications. It demands establishing model awareness of rare and unknown conditions, rejecting what the model does not know, and thus preventing these conditions from being dangerously misclassified into any false known classes. Meanwhile, it often further requires training the OSR model based on a m...Show More

Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Yiqian Xu;Ruofan Wang;Rui-Wei Zhao;Xingxing Xiao;Rui Feng

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Class-aware Variational Auto-encoder for Open Set Recognition

Ruofan Wang;Jiayu Guo;Rui-Wei Zhao;Ling Su;Yingzi Ye;Xiaobo Zhang;Yuejie Zhang;Rui Feng

2023 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2023 | Conference Paper |

Cited by: Papers (4)

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Compared with traditional classification models trained under the closed world assumption, Open Set Recognition (OSR) requires accurate classification for known classes as well as rejection for unknown ones. By modeling the distribution of each known class, Conditional Variational Auto-encoder (CVAE) has achieved great success in OSR, even though it was originally proposed for image generation. In...Show More

Class-aware Variational Auto-encoder for Open Set Recognition

Ruofan Wang;Jiayu Guo;Rui-Wei Zhao;Ling Su;Yingzi Ye;Xiaobo Zhang;Yuejie Zhang;Rui Feng

2023 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2023 | Conference Paper |

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