Weihong Xu

Weihong Xu

Assistant Professor @ ZJU, Postdoc @ EPFL, PhD @ UCSD

Weihong Xu (徐炜鸿) is currently a ZJU100 Young Professor in the College of Integrated Circuits, Zhejiang University. Prior to joining ZJU, he was a Postdoctoral Researcher at the Embedded Systems Laboratory (ESL), EPFL, working with Prof. David Atienza. He received his Ph.D. in Computer Science from UC San Diego (UCSD), where he was advised by Prof. Tajana Rosing.

His research focuses on next-generation computing architectures for efficient and reliable AI systems, including: a) 🚀 RISC-V-based AI chip, b) computer architecture and EDA co-design, c) near-data computing, d) LLM and AI acceleration.

He received B.E. and M.E. degrees from Southeast University, under the supervision of Prof. Chuan Zhang. He also completed a research internship at Intel Labs China, where he developed a Flexible MIMO Processor for beyond-5G communication systems.

🔥 News

  • 2026.03:  🎉 Proxima was accepted by TC after a long journey!
  • 2026.01:  🎉 I have joint Zhejiang University as an assistant professor!
  • 2025.07:  🎉 SLIM was accepted by TECS.
  • 2025.06:  🎉 HyperMetric was accepted by TCAD.
  • 2025.06:  🎉 Chip Clo-HDnn was accepted by VLSI Symposium.
  • 2025.05:  🎉 HPVM-HDC was accepted by ISCA.
  • 2024.12:  🎉 I will be joining EPFL as a postdoctoral researcher.
  • 2024.09:  🎉 I have successfully completed my Ph.D. at UCSD! Check my thesis here
  • 2024.07:  🎉 HyperGen work was accepted!
  • 2024.07:  🎉 TriHD work was accepted!

📖 Educations

  • 2020 - 2024, Ph.D. in Computer Science and Engineering, University of California, San Diego, La Jolla, USA.
  • 2017 - 2020, M.E. in Information and Communication Engineering, Southeast University, Nanjing, China.
  • 2013 - 2017, B.E. in Information Engineering, Southeast University, Nanjing, China.

Highlighted Projects

💫 Near-memory Acceleration for Emerging Workloads

TECS 2025
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SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
Weihong Xu, Haein Choi, Po-Kai Hsu, Shimeng Yu, and Tajana Rosing
ACM Transactions on Embedded Computing Systems (TECS), 2025

TECS 2025
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Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, and Tajana Rosing
IEEE Transactions on Computers (TC), 2026

🤖 Edge AI Chips

VLSI 2025
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Clo-HDnn: A 4.66 TLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-Efficient Hyperdimensional Computing via Progressive Search
Chang Eun Song∗, Weihong Xu∗, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Kerem Akarvardar, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, and Mingu Kang
Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2025 * Equal contribution

ESSERC 2024
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FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, and Tajana Rosing
European Solid-State Electronics Research Conference (ESSERC), 2024

📊 Hyperdimensional Computing

🧬 Bioinformatics: Genome and Mass Spectrometry Analysis

Bioinformatics 2024
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HyperGen: Compact and Efficient Genome Sketching using Hyperdimensional Vectors
Weihong Xu, Po-kai Hsu, Niema Moshiri, Shimeng Yu, and Tajana Rosing
Bioinformatics, 2024 Repo

  • HyperGen is a memory-efficient tool for genomic sketching
JPR 2023
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HyperSpec: Fast Mass Spectra Clustering in Hyperdimensional Space
Weihong Xu, Jaeyoung Kang, Wout Bittremieux, Niema Moshiri, and Tajana Rosing
Journal of Proteome Research, 2023 Repo

  • HyperSpec is one of the fastest clustering tool for mass spectrometry data

📝 Full Publication List

Published Journals

Published Conferences

Under Review