Jia Wei

Orcid: 0000-0002-2234-0378

Affiliations:

Tsinghua University, Department of Computer Science and Technlogy, Beijing, China
Xi'an Jiaotong University, School of Computer Science and Technology, China (PhD 2024)

According to our database¹, Jia Wei authored at least 19 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Homophone-Based Chinese Natural Language Data Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Dual-Pronged Deep Learning Preprocessing on Heterogeneous Platforms With CPU, Accelerator and CSD.

[BibT_eX]

[DOI]

IEEE Trans. Computers, March, 2026

2025

Vmem: A Lightweight Hot-Upgradable Memory Management for In-production Cloud Environment.

[BibT_eX]

[DOI]

CoRR, November, 2025

Taiji: A DPU Memory Elasticity Solution for In-production Cloud Environments.

[BibT_eX]

[DOI]

CoRR, November, 2025

Dynamic Fuzzy Sampler for Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., April, 2025

2024

Revisit and Benchmarking of Automated Quantization Toward Fair Comparison.

[BibT_eX]

[DOI]

IEEE Trans. Computers, January, 2024

Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD.

[BibT_eX]

[DOI]

CoRR, 2024

BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion.

[BibT_eX]

[DOI]

Jia Wei

Xingjun Zhang

Witold Pedrycz

CoRR, 2024

2023

Fastensor: Optimise the Tensor I/O Path from SSD to GPU for Deep Learning Training.

[BibT_eX]

[DOI]

ACM Trans. Archit. Code Optim., December, 2023

Leader population learning rate schedule.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

2022

EP4DDL: addressing straggler problem in heterogeneous distributed deep learning.

[BibT_eX]

[DOI]

J. Supercomput., 2022

High-Voltage Repetitive Nanosecond Pulse Generator Utilizing Power Synthesis of Modified Avalanche Transistorized Marx Circuits.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

DPLRS: Distributed Population Learning Rate Schedule.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

Status, challenges and trends of data-intensive supercomputing.

[BibT_eX]

[DOI]

CCF Trans. High Perform. Comput., 2022

BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

A tile-fusion method for accelerating Winograd convolutions.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems.

[BibT_eX]

[DOI]

CCF Trans. High Perform. Comput., 2021

Jia Wei

Timeline

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Bibliography

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