Yunhao Deng

Orcid: 0000-0002-3466-9744

According to our database1, Yunhao Deng authored at least 11 papers between 2025 and 2026.

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Bibliography

2026
FlexiGen: An Automated AI Accelerator Generation Framework With Decoupled-Access-Execute and Dynamic Dataflows.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2026

Integrating textual data and knowledge graphs for intelligent fault diagnosis in railway operational equipment.
Appl. Intell., January, 2026

A 16 nm 1.60TOPS/W High Utilization DNN Accelerator with 3D Spatial Data Reuse and Efficient Shared Memory Access.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

HDStream: An Energy-efficient 7.98 TBOPS/W Hyperdimensional Computing Streaming Processor.
Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

Torrent : A Distributed DMA for Efficient and Flexible Point-to-Multipoint Data Movement.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

STELLA: A 16nm Spatio-Temporal Elastic Low-Latency CGRA for Multi-Stage Pipelined Applications.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2026

2025
Hybrid semantic-structural graph neural network for fault knowledge graph completion in railway operational equipment.
Eng. Appl. Artif. Intell., 2025

Flexible Hardware Accelerators for Ultra-Low Power Edge AI: The CONVOLVE Approach.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

An Open-Source HW-SW Co-Development Framework Enabling Efficient Multi-Accelerator Systems.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

XDMA: A Distributed, Extensible DMA Architecture for Layout-Flexible Data Movements in Heterogeneous Multi-Accelerator SoCs.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025


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