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Fanjin Meng
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2020 – today
- 2024
- [c5]Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li:
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. KDD 2024: 896-907 - [i1]Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li:
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. CoRR abs/2408.09815 (2024) - 2021
- [c4]Fanjin Meng, Yong Ding, Dewei Chen, Fang Yuan, Zhenyu Li:
Incremental Forensics Snapshot of Digital Evidence Method Using Differencing Algorithm and Blockchain. BlockSys 2021: 473-485 - 2020
- [c3]Haiying Ma, Ligang Lu, Haitao Qian, Jing Han, Xin Wen, Fanjin Meng, Rahul Singhal, Martin Keim, Yu Huang, Wu Yang:
Fast Bring-Up of an AI SoC through IEEE 1687 Integrating Embedded TAPs and IEEE 1500 Interfaces. ITC 2020: 1-5
2010 – 2019
- 2019
- [c2]Haiying Ma, Rui Guo, Quan Jing, Jing Han, Yu Huang, Rahul Singhal, Wu Yang, Xin Wen, Fanjin Meng:
A Case Study of Testing Strategy for AI SoC. ITC-Asia 2019: 61-66 - 2018
- [c1]Binghua Lu, Selina Sha, Jincheng Wang, Zhigao Zhang, Fanjin Meng, Dragon Hsu, Rick Fisette:
The test cost reduction benefits of combining a hierarchical DFT methodology with EDT channel sharing - A case study. DTIS 2018: 1-4
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last updated on 2024-09-26 01:51 CEST by the dblp team
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