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ORCIDJia Wei 0002
Person information
- affiliation: Tsinghua University, Department of Computer Science and Technlogy, Beijing, China
- affiliation (PhD 2024): Xi'an Jiaotong University, School of Computer Science and Technology, China
Other persons with the same name
- Jia Wei — disambiguation page
- Jia Wei 0001
![[0009-0002-7187-7750]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0002-7187-7750")
— Queensland University of Technology (QUT), School of Information Systems, Brisbane, QL, Australia - Jia Wei 0003 — South China University of Technology (SCUT), School of Computer Science and Engineering, Guangzhou, China
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2020 – today
- 2026
[j13]Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao:
Dual-Pronged Deep Learning Preprocessing on Heterogeneous Platforms With CPU, Accelerator and CSD. IEEE Trans. Computers 75(3): 1209-1223 (2026)- [j12]Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Weiping Ding, Xuehai Qian:
Homophone-Based Chinese Natural Language Data Augmentation. IEEE Trans. Emerg. Top. Comput. Intell. 10(3): 2291-2300 (2026) - [i5]Jia Wei, Zhonghao Zhang, Ping Chen, Qianyang Li, Yancheng Pan, Shaoxun Wang, Ziyi Qiu, Longxiang Wang:
HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models. CoRR abs/2605.18795 (2026) - 2025
- [j11]Jia Wei, Xingjun Zhang, Witold Pedrycz, Weiping Ding:
Dynamic Fuzzy Sampler for Graph Neural Networks. IEEE Trans. Fuzzy Syst. 33(4): 1357-1368 (2025) - [i4]Hao Zheng, Longxiang Wang, Yu Xue, Qiang Wang, Yibin Shen, Xiaoshe Dong, Bang Di, Jia Wei, Shenyu Dong, Xingjun Zhang, Weichen Chen, Zhao Han, Sanqian Zhao, Dongdong Huang, Jie Qi, Yifan Yang, Zhao Gao, Yi Wang, Jinhu Li, Xudong Ren, Min He, Hang Yang, Xiao Zheng, Haijiao Hao, Jiesheng Wu:
Taiji: A DPU Memory Elasticity Solution for In-production Cloud Environments. CoRR abs/2511.09936 (2025) - [i3]Hao Zheng, Qiang Wang, Longxiang Wang, Xishi Qiu, Yibin Shen, Xiaoshe Dong, Naixuan Guan, Jia Wei, Fudong Qiu, Xingjun Zhang, Yun Xu, Mao Zhao, Yisheng Xie, Shenglong Zhao, Min He, Yu Li, Xiao Zheng, Ben Luo, Jiesheng Wu:
Vmem: A Lightweight Hot-Upgradable Memory Management for In-production Cloud Environment. CoRR abs/2511.09961 (2025) - 2024
- [j10]Zheng Wei, Xingjun Zhang, Zeyu Ji, Jingbo Li, Jia Wei:
Revisit and Benchmarking of Automated Quantization Toward Fair Comparison. IEEE Trans. Computers 73(1): 18-29 (2024) - [i2]Jia Wei, Xingjun Zhang, Witold Pedrycz:
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion. CoRR abs/2403.15766 (2024) - [i1]Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao:
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD. CoRR abs/2407.00005 (2024) - 2023
- [j9]Jia Wei, Xingjun Zhang, Zhimin Zhuo, Zeyu Ji, Zheng Wei, Jingbo Li, Qianyang Li:
Leader population learning rate schedule. Inf. Sci. 623: 455-468 (2023) - [j8]Jia Wei, Xingjun Zhang, Longxiang Wang, Zheng Wei:
Fastensor: Optimise the Tensor I/O Path from SSD to GPU for Deep Learning Training. ACM Trans. Archit. Code Optim. 20(4): 62:1-62:25 (2023) - 2022
- [j7]Jia Wei, Mo Chen, Longxiang Wang, Pei Ren, Yujia Lei, Yuqi Qu, Qiyu Jiang, Xiaoshe Dong, Weiguo Wu, Qiang Wang, Kaili Zhang, Xingjun Zhang:
Status, challenges and trends of data-intensive supercomputing. CCF Trans. High Perform. Comput. 4(2): 211-230 (2022) - [j6]Jia Wei, Xingjun Zhang, Zeyu Ji, Zheng Wei, Jingbo Li:
DPLRS: Distributed Population Learning Rate Schedule. Future Gener. Comput. Syst. 132: 40-50 (2022) - [j5]Jingbo Li, Xingjun Zhang, Jia Wei, Zeyu Ji, Zheng Wei:
GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems. Future Gener. Comput. Syst. 135: 259-269 (2022) - [j4]Le Cheng, Kaisheng Mei, Zhiqiang Chen, Jia Wei, Yi Wang, Haiyang Wang, Linshen Xie, Saikang Shen, Weidong Ding:
High-Voltage Repetitive Nanosecond Pulse Generator Utilizing Power Synthesis of Modified Avalanche Transistorized Marx Circuits. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [j3]Zeyu Ji, Xingjun Zhang, Jingbo Li, Jia Wei, Zheng Wei:
EP4DDL: addressing straggler problem in heterogeneous distributed deep learning. J. Supercomput. 78(13): 15663-15680 (2022) - [c1]Zheng Wei, Xingjun Zhang, Jingbo Li, Zeyu Ji, Jia Wei:
BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators. DATE 2022: 1479-1484 - 2021
- [j2]Jingbo Li, Xingjun Zhang, Zheng Wei, Jia Wei, Zeyu Ji:
Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems. CCF Trans. High Perform. Comput. 3(4): 383-392 (2021) - [j1]Zeyu Ji, Xingjun Zhang, Zheng Wei, Jingbo Li, Jia Wei:
A tile-fusion method for accelerating Winograd convolutions. Neurocomputing 460: 9-19 (2021)
Coauthor Index
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last updated on 2026-06-30 00:51 CEST by the dblp team
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