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Journal Articles
- 2024
[j2]Jing Wang
, Jinbin Zhu, Xin Fu, Di Zang, Keyao Li, Weigong Zhang:
Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization. IEEE Trans. Computers 73(8): 1953-1966 (2024)- 2023
- [j1]Christian Jandl, Gunther Steinfeld, Keyao Li, Pokka Ka Chuen Pang, Chun Lung Choi, Cengan Wang, Petra Simoncic, Ian D. Williams:
Absolute Structure Determination of Chiral Zinc Tartrate MOFs by 3D Electron Diffraction. Symmetry 15(5): 983 (2023)
Conference and Workshop Papers
- 2024
- [c5]Junqiang Li, Senyi Li, Keyao Li, Falin Luo, Hongfang Yu, Shanshan Li, Xiang Li:
ECFuzz: Effective Configuration Fuzzing for Large-Scale Systems. ICSE 2024: 48:1-48:12 - 2023
- [c4]Keyao Li, Jungang Xu:
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. INNS DLIA@IJCNN 2023: 187-196 - 2021
- [c3]Keyao Li, Ge Li, Thomas H. Li:
Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. ICIP 2021: 3308-3312 - 2020
- [c2]Chengyuan Li, Lanqing Zhang, Xing Cai, Keyao Li, Ge Li, Thomas H. Li:
Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. ICTAI 2020: 883-889 - 2019
- [c1]Keyao Li, Jing Wang, Xin Fu, Xiufeng Sui, Weigong Zhang:
Reliability Enhancement of Neural Networks via Neuron-Level Vulnerability Quantization. ICA3PP (2) 2019: 277-285
Coauthor Index
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