Reliability Enhancement of Neural Networks via Neuron-Level Vulnerability Quantization. - Keyao Li; Jing Wang 055; Xin Fu; Xiufeng Sui; Weigong Zhang (ICA3PP (2), 2019)

Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. - Chengyuan Li; Lanqing Zhang; Xing Cai; Keyao Li; Ge Li 002; Thomas H. Li (ICTAI, 2020)

Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. - Keyao Li; Ge Li 002; Thomas H. Li (ICIP, 2021)

AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. - Keyao Li; Jungang Xu (INNS DLIA@IJCNN, 2023)

Absolute Structure Determination of Chiral Zinc Tartrate MOFs by 3D Electron Diffraction. - Christian Jandl; Gunther Steinfeld; Keyao Li; Pokka Ka Chuen Pang; Chun Lung Choi; Cengan Wang; Petra Simoncic; Ian D. Williams (Symmetry, 2023)

ECFuzz: Effective Configuration Fuzzing for Large-Scale Systems. - Junqiang Li; Senyi Li; Keyao Li; Falin Luo; Hongfang Yu; Shanshan Li 001; Xiang Li 078 (ICSE, 2024)

TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention. - Kai Liu; Mengting Song; Wenjie Xu; Keyao Li; Min Peng 002; Gang Tian (WISE (4), 2024)

Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization. - Jing Wang 055; Jinbin Zhu; Xin Fu; Di Zang; Keyao Li; Weigong Zhang (IEEE Trans. Computers, 2024)

AI Agents and Agentic Systems: A Multi-Expert Analysis. - Laurie Hughes; Yogesh K. Dwivedi; F. Tegwen Malik; Mazen Shawosh; Mousa Ahmed Albashrawi; Il Jeon; Vincent Dutot; Mandanna Appanderanda; Tom Crick; Rahul De'; Mark Fenwick; Madugoda Gunaratnege Senali; et al. (J. Comput. Inf. Syst., 2025)