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2020 – today
- 2024
[j3]Lina Jia, Aimin Huang, Xu He, Zongyang Li, Jianan Liang:
A residual multi-scale feature extraction network with hybrid loss for low-dose computed tomography image denoising. Signal Image Video Process. 18(2): 1215-1226 (2024)- [c7]Tianyu Chen, Lin Li, ZhuLiuchuan ZhuLiuchuan, Zongyang Li, Xueqing Liu, Guangtai Liang, Qianxiang Wang, Tao Xie:
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model. ACL (1) 2024: 9767-9780 - 2023
- [c6]Ziyue Hua, Wei Lin, Luyao Ren, Zongyang Li, Lu Zhang, Wenpin Jiao, Tao Xie:
GDsmith: Detecting Bugs in Cypher Graph Database Engines. ISSTA 2023: 163-174 - [i3]Tianyu Chen, Lin Li, Liuchuan Zhu, Zongyang Li, Guangtai Liang, Ding Li, Qianxiang Wang, Tao Xie:
VulLibGen: Identifying Vulnerable Third-Party Libraries via Generative Pre-Trained Model. CoRR abs/2308.04662 (2023) - 2022
- [c5]Dezhi Ran, Zongyang Li, Chenxu Liu, Wenyu Wang
, Weizhi Meng, Xionglin Wu, Hui Jin, Jing Cui, Xing Tang, Tao Xie:
Automated Visual Testing for Mobile Apps in an Industrial Setting. ICSE (SEIP) 2022: 55-64 - [i2]Wei Lin, Ziyue Hua, Luyao Ren, Zongyang Li, Lu Zhang, Tao Xie:
GDsmith: Detecting Bugs in Graph Database Engines. CoRR abs/2206.08530 (2022) - 2020
- [j2]Kui Liu, Fenglei Zhang, Zongyang Li, Xiaohua Feng, Ke Li, Yuanbo Du, Karl Ulrich Schreiber, Zehuang Lu, Jie Zhang:
Noise Analysis of a Passive Resonant Laser Gyroscope. Sensors 20(18): 5369 (2020) - [c4]Yiwei Zhang, Zongyang Li:
Latent Weights Generating for Few Shot Learning Using Information Theory. ADGN@ECAI 2020 - [c3]Zongyang Li, Yuan Ji:
Latent Weights Generating for Few Shot Learning Using Information Theory. ICCSA (1) 2020: 1003-1016
2010 – 2019
- 2019
- [j1]Zongyang Li, Yefei Wang, Le Wang:
A Fast Particle-Locating Method for the Arbitrary Polyhedral Mesh. Algorithms 12(9): 179 (2019) - 2018
- [c2]Qunchao Fu, Zongyang Li, Xu Han, Cong Wang:
Evaluation of Word Embedding via Domain Keywords. CCIS 2018: 290-294 - [c1]Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel:
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. ReConFig 2018: 1-4 - [i1]Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel:
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. CoRR abs/1806.01087 (2018)
Coauthor Index
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