Jingyao Zhang
Scholar

Jingyao Zhang

Google Scholar ID: KOUsUIwAAAAJ
University of California, Riverside
Computer ArchitectureComputer SecurityComputer System
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Citations & Impact
All-time
Citations
61
 
H-index
4
 
i10-index
3
 
Publications
10
 
Co-authors
6
list available
Contact
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Publications
8 items
A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation
2026
Cited
0
Exploring the Power of Diffusion Large Language Models for Software Engineering: An Empirical Investigation
2025
Cited
0
SAIL: SRAM-Accelerated LLM Inference System with Lookup-Table-based GEMV
2025
Cited
0
A Near-Cache Architectural Framework for Cryptographic Computing
2025
Cited
0
CryptoSRAM: Enabling High-Throughput Cryptography on MCUs via In-SRAM Computing
2025
Cited
0
extit{No One-Size-Fits-All}: A Workload-Driven Characterization of Bit-Parallel vs. Bit-Serial Data Layouts for Processing-using-Memory
2025
Cited
0
Enabling Low-Cost Secure Computing on Untrusted In-Memory Architectures
2025
Cited
0
A Solution-based LLM API-using Methodology for Academic Information Seeking
arXiv.org · 2024
Cited
3
Resume (English only)
Academic Achievements
  • - Publications:
  • - Enabling Low-Cost Secure Computing on Untrusted In-Memory Architectures, USENIX Security 2025
  • - Unlocking Energy-Efficient and High-Throughput Secure Data Communication in IoT with Memory-Centric Computing, IPDPS 2025
  • - BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication, DAC 2023
  • - Inhale: Enabling High-Performance and Energy-Efficient In-SRAM Cryptographic Hash for IoT, ICCAD 2022
  • - Sealer: In-SRAM AES for High-Performance and Low-Overhead Memory Encryption, ISLPED 2022
  • - Hardware-Software Codesign of Weight Reshaping and Systolic Array Multiplexing for Efficient CNNs, DATE 2021
  • - Awards:
  • - Laxmi N. Bhuyan Endowed Fellowship award, June 2025
  • - DAC Young Fellowship, April 2023
  • - Outstanding Student Award, June 2021
  • - Projects:
  • - Confidential-AI, a framework for secure AI workflows on Intel TDX, September 2024
  • - TEE-RefValue, an automatic measurement and provisioning utility for AMD SEV-SNP, September 2023
Research Experience
  • - June 2025: Interned with the Data Center Systems Security Team at Nvidia
  • - June 2024: Interned with the Data Center Systems Security Team at Nvidia
  • - August 2023: Became a Ph.D. candidate
Education
  • - Degree: Ph.D. Candidate
  • - University: University of California, Riverside
  • - Advisor: Prof. Elaheh Sadredini
  • - Major: Computer Science
Background
  • - Research Interests: Enhancing the performance of privacy-preserving systems across both software and hardware domains
  • - Professional Field: Computer Science
  • - Brief Introduction: Currently pursuing a Ph.D. at the University of California, Riverside, with a focus on broadening the range of applications that can benefit from privacy-preserving technologies.
Miscellany
  • - Personal Interests: Not provided
Co-authors
6 total
Elaheh Sadredini
Elaheh Sadredini
Assistant Professor, University of California at Riverside
Co-author 2
Co-author 2
Mohsen Imani
Mohsen Imani
Associate Professor, University of California Irvine
Ulf Schlichtmann
Ulf Schlichtmann
Professor for Electronic Design Automation, Technical University of Munich
Grace Li Zhang
Grace Li Zhang
Professor of Hardware for AI, TU Darmstadt
Sahar Ghoflsaz Ghinani
Sahar Ghoflsaz Ghinani
University of California Riverside