|
|
CURRENT
MEMBERS
Post-doctoral Researchers
Graduate Students
|
 |
Jiayi Tian, MSc/PhD student in ECE
Jiayi received her
B.Eng. degree in the Department of Electronic Science and
Engineering from Nanjing University in 2023, and she joined UCSB in
fall 2023. Currently she is working on hardware accelerator design
for efficient Transformer training.
Intern experience: Intel (summer 2024)
|
|
 |
Zhuotong
Chen, MSc/PhD student in ECE
Google Scholar
Zhuotong received his B.S. in Electrical
and Computer Engineering from University of Manitoba, MB,
Canada, in 2018. He joined us in
spring 2019 firstly as a visiting student, then as a MSc/
PhD student. He previously worked on tensor methods for
computational electromagnetic. Currently he is working on
robustness, safety and stability of machine learning from
ODE/PDE and optimal control perspectives.
Publications: J29 (TMMT 2019), C25 (ICLR 2021), C26 (AISTATS
2021), J40 (JMLR 2022), C47 (ICML
Frontiers4LCD workshop 2023), J42 (TMLR)
Intern experience: Amazon (fall 2022), Amazon (summer
2023) |
|
 |
Yifan Yang, MSc/PhD student in
Computer Science
Google Scholar
Yifan received his
B.Eng. degree in Electronic and Information Engineering from the
Huazhong University of Science and Technology of China in 2021. He
joined UCSB in fall 2021, and he is interested in online Bayesian
inference.
Publications: C51 (NAACL 2024)
Intern experience: Amazon (summer 2024) |
|
 |
Ziyue (Alvin) Liu, PhD student in
Computer Science
Google Scholar
Alvin received his B.S.
degree in Statistics at Nankai University in China, 2020. He started
his graduate study in the PSTAT department at UCSB in Fall 2021, and
joined our group in Jan. 2022.
He's
currently working on physics-informed operator learning and
efficient pre-training of large language models.
Publications: C41 (ICML HAET 2022), C44 (DAC 2023)
Intern experience: Cadence Design Systems (summer 2022,
spring & summer 2023, summer 2024) |
|
 |
Rahul Singh, PhD student in ECE
Rahul received his BS
and MS degrees in Physics from the Indian Institute of Science
Education and Research Kolkata in 2021. In 2022, he joined the
Electrical and Computer Engineering Department at UCSB as a PhD
student. His research interests include quantum machine learning and
quantum AI.
Intern experience: IBM T. J. Watson Research Labs
(summer 2023) |
|
 |
Yequan Zhao, MSc/PhD student in ECE
Yequan received his
B.Eng. degree from the School of Integrated Circuits at Huazhong
University of Science and Technology in 2023. He joined us in Fall
2022 firstly as a visiting student, then as a M.S./Ph.D. student in
Fall 2023. Currently, he is working on tensor-compressed methods for
back-propagation-free training, physics-informed neural networks,
and optical neural networks.
Publications: C45 (CLEO 2023),
C49 (NeuRIPS
MLNCP workshop'2023)
Intern experience: HP Research Labs (summer 2024) |
|
 |
Zhengyang Wang, MSc/PhD student in
CS
Zhengyang received his B.S. degree
in Computer Science at University of Science and Technology of
China in 2022. He started his PhD study in Fall 2022, and joined
our group in Fall 2023. His research interest lies in machine
learning system and low precision training
Intern experience: Meta (Summer 2024) |
|
 |
Xinling Yu, PhD student in ECE
Xinling received his
B.S. degree in applied mathematics from Beijing University of Posts
and Telecommunications in 2019 and his M.A. degree in applied
mathematics and computational science from University of
Pennsylvania in 2021. He joined UCSB in fall 2021, and he is
interested in computational mathematics and data-driven modeling.
Publications: C41 (ICML HAET 2022), C42 (LUCCA 2022),
J41 (JMMCT 2023)
Intern experience: HP Research Labs ( summer 2023,
Winter & Spring 2024)
|
Undergraduate Researchers
Visiting Students/Scholars
 |
Jiajun Zhou, Visiting PhD
Student,
Google Scholar
Jiajun joined UCSB as a
visiting scholar in September 2023. He is currently a Ph.D. student
at the University of Hong Kong and obtained his M.S. degree in 2019
at the Hong Kong University of Science and Technology. Additionally,
he worked as an engineer at the Hong Kong Applied Science and
Technology Research Institute from 2019 to 2021. Besides, he joined
the AioT lab in the Information Engineering department at the
Chinese University of Hong Kong as a research assistant in 2021. His
research interests include LLM fine-tuning, model compression,
mixed-precision training/quantization, and hardware acceleration.
Publications: C51 (NAACL 2024) |
| |
