Boran Zhao

Orcid: 0000-0002-7755-4867

According to our database1, Boran Zhao 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

On csauthors.net:

Bibliography

2026
AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2026

SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2026

CAST: Collapse-Aware multi-Scale Topology Fusion for Multimodal Coreset Selection.
CoRR, May, 2026

ECHO: Continuous Hierarchical Memory for Vision-Language-Action Models.
CoRR, May, 2026

Retrieve, Integrate, and Synthesize: Spatial-Semantic Grounded Latent Visual Reasoning.
CoRR, May, 2026

IMMSched: Interruptible Multi-DNN Scheduling via Parallel Multi-Particle Optimizing Subgraph Isomorphism.
CoRR, March, 2026

"The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework.
CoRR, January, 2026

MIND: From Passive Mimicry to Active Reasoning through Capability-Aware Multi-Perspective CoT Distillation.
CoRR, January, 2026

2025
FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection.
CoRR, November, 2025

IsoSched: Preemptive Tile Cascaded Scheduling of Multi-DNN via Subgraph Isomorphism.
CoRR, September, 2025

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds.
CoRR, August, 2025

2023
REMAP: A Spatiotemporal CNN Accelerator Optimization Methodology and Toolkit Thereof.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2023

2020
Confidentiality Support over Financial Grade Consortium Blockchain.
Proceedings of the 2020 International Conference on Management of Data, 2020


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