06
PUBLICATIONS · 2024–26
01.
Ph.D. student · Electrical & Computer Engineering
Case Western Reserve University

Machine learning that keeps learning on small devices and real factory lines.

Download CV
02 · Inside the node

One device, four strands of work.

XijiaZhao

03 · About

About

Numbers match the parts above
3Xijia Zhao
About · Cleveland, OH

Hi, I'm Xijia.

I'm a third-year Ph.D. student in Electrical and Computer Engineering at Case Western Reserve University. I work on machine learning that scales without labels and keeps learning after it ships: self-supervised and continual learning, models that train on the device itself, and large models for time-series data.

English · Mandarin

Off the clock: basketball, guitar, saxophone.

1
Experience
04
View experience →
04 · First-author papers

Selected papers

2025

Unleashing the power of unlabeled plant data: a hierarchical contrastive learning framework for dynamic manufacturing process monitoring

Zhao, X., H. Ghassemi-Armaki, B. Carlson, and P. Wang

Journal of Manufacturing Systems · 83 · pp. 483–493
1st author
2024

A deployable edge computing solution for machine condition monitoring

Zhao, X. and P. Wang

IEEE I2MTC 2024 · Glasgow, UK · pp. 1–6
1st author
2024

Efficient and generalizable machine learning for inline defect detection in battery laser welding

Zhao, X., J. Kershaw, M. Pour, J. Ma, H. Ghassemi-Armaki, B. Carlson, and P. Wang

Int. Conf. on Precision Engineering · Sendai, Japan
1st author
Ph.D. student · ECE · Case Western

Machine learning that keeps learning on small devices and real factory lines.

Xijia
Zhao

02 · Inside the node

One device, four strands of work.

Each part stands for one strand. Tap a number to jump to it.

Edge node
1
LOADING 3D…XZ-01 / EDGE NODE
SCROLL · EXPLODE 0.00
03 · About

About

3Xijia Zhao
About · Cleveland, OH

Hi, I'm Xijia.

I'm a third-year Ph.D. student in Electrical and Computer Engineering at Case Western Reserve University. I work on machine learning that scales without labels and keeps learning after it ships: self-supervised and continual learning, models that train on the device, and large models for time-series.

English · Mandarin

Off the clock: basketball, guitar, saxophone.

1Experience04View →
04 · First-author papers

Selected papers

20251st author
J. Manufacturing Systems · 83 · pp. 483–493

Unleashing the power of unlabeled plant data: a hierarchical contrastive learning framework for dynamic manufacturing process monitoring

Zhao, X., H. Ghassemi-Armaki, B. Carlson, and P. Wang

4 authors · Zhao first01 / 03
20241st author
IEEE I2MTC 2024 · Glasgow · pp. 1–6

A deployable edge computing solution for machine condition monitoring

Zhao, X. and P. Wang

2 authors · Zhao first02 / 03
20241st author
Int. Conf. Precision Engineering · Sendai

Efficient and generalizable machine learning for inline defect detection in battery laser welding

Zhao, X., J. Kershaw, M. Pour, J. Ma, H. Ghassemi-Armaki, B. Carlson, and P. Wang

7 authors · Zhao first03 / 03
All publications06

Papers since 2024, three as first author, in J. Manufacturing Systems, I2MTC and more.

Journal · 4Conference · 2
01 / 03 · SWIPE →