Ziqing Zeng

Orcid: 0000-0002-6981-2299

According to our database1, Ziqing Zeng authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Decomposing Large-Scale Ising Problems on FPGAs: A Hybrid Hardware Approach.
CoRR, February, 2026

Extractive Summarization on a CMOS Ising Machine.
IEEE Access, 2026

A Hybrid Ising FPGA-COBI Architecture with Hardware-Based Problem Decomposition.
Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2025
On Solving Structured SAT on Ising Machines: A Semiprime Factorization Study.
CoRR, November, 2025

2024
COBI: A Coupled Oscillator Based Ising Chip for Combinatorial Optimization.
Dataset, January, 2024

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst., 2024

On Heterogeneous Ising Machines.
CoRR, 2024

2023
A Unified Engine for Accelerating GNN Weighting/Aggregation Operations, With Efficient Load Balancing and Graph-Specific Caching.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

3SAT on an All-to-All-Connected CMOS Ising Solver Chip.
CoRR, 2023

A Multicore GNN Training Accelerator.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Energy-efficient Hardware Acceleration of Shallow Machine Learning Applications.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

2021
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020
Homogeneous and Heterogeneous Feed-Forward XOR Physical Unclonable Functions.
IEEE Trans. Inf. Forensics Secur., 2020


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