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CURRENT
MEMBERS
Post-doctoral Researchers
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Ryan Solgi, Postdoc Scholar
Google scholar
Ryan holds an M.S. in Electrical and Computer Engineering and a
Ph.D. in Geography from the University of California, Santa
Barbara (2024). His current research focuses on developing
efficient LLMs and foundation models using tensor-based and
low-rank methods. His broader interests include scientific
machine learning, tensor computation, optimization algorithms,
and computational geoscience.
Publications: C64 (EMNLP'2025) |
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Graduate Students
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Jiayi Tian, MSc/PhD student in ECE
Google scholar CV
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
efficient
training and inference of LLMs via algorithm and hardware co-design.
Publications: J48 (IEEE TCAD), C69 (EACL'2026), C71
(MLSys'2026), C75 (COLM'2026)
Intern experience: Intel (summer 2024, summer 2025)
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Ruijie Zhang, PhD student in
Computer Science
Google Scholar
Ruijie received
his B.S. and M.S. from EIC@Huazhong University of Science
and Technology in China, and joined UCSB in fall 2024. He is
currently working on efficient pre-training of LLMs/VLMs.
Publications: C65 (EMNLP'2025), C67 (NeuRIPS'2025)
Intern experience:
XMotors (Summer 2026) |
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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 working on efficient training
algorithms for large language models (LLM).
Publications: C51 (NAACL 2024),
C53 (EMNLP 2024), C59 & C60 (ACL 2025), C66 (NeuRIPS'2025)
Intern experience: Amazon AGI (summer 2024), Amazon AWS
Agentic AI (summer 2025) |
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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),
NeuRIPS'2024 (C54), C65 (EMNLP 2025), C67 (NeuRIPS'2025)
Intern experience: Cadence Design Systems (summer 2022,
spring & summer 2023, summer 2024), Argonne National Labs
(Spring & Summer 2025), Google (Summer 2026) |
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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) |
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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), C56 (OFC),
J46 (APL Machine Learning), J47 (ACM TODAES), J51 (ACM TODAES)
Intern experience: HP Research Labs (summer 2024),
Amazon Lab 126 (summer 2025, summer 2026)
Awards/Honors: Wallace Kou Graduate Fellowship (2026) |
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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.
Publications: C65 (EMNLP 2025),
C72 (MLSys'2026)
Intern experience: Meta (Summer 2024),
Argonne National Labs (01/2025 to 06/2026), NVIDIA (Summer 2026) |
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Liyan Tan, PhD student in
ECE
Liyan received his B.S.
degree in Electronic Information & Communications from Huazhong University of
Science and Technology in 2019. He joined us in Fall 2022 firstly as a visiting
student, then as a M.Sc. student in Fall 2023, and a Ph.D. student in Spring
2025. Currently, his research focuses on machine learning guided optimization in
EDA problems. He is also interested in zeroth-order optimization and
tensor-compressed neural networks.
Intern experience: Cadence (Summer 2025) |
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Jin Lee, PhD student in
ECE
Google scholar
Jin Lee joined UCSB in Fall
2022, and joined our group in Spring 2025. His research interests include: (1)
Scientific AI: operator learning robust to generalization outside train
distribution, with tractable interpretability for data-driven scientific
discovery. (2) Fault-tolerant distributed computing: algorithmic resolution for
parallel distributed computing robust against faulty individual nodes.
Publications: C52 (ISIT'2024), C70 (ICLR'2026), C73
(ICML'2026)
Intern experience: Argonne National Labs (Summer
2025 to Spring 2026), Cadence (Summer 2026) |
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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),
J42 (IEEE JMMCT 2023), J45 (TMLR 2024), C57 (ASPDAC 2025), J49
(IEEE T-CPMT)
Intern experience: HP Research Labs ( summer 2023,
Winter & Spring 2024), TSMC (summer 2025), Google (Summer
2026)
Awards: ECE Doctoral Dissertation
Fellowship
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Undergraduate Researchers
Visiting Students/Scholars
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