Features induction for product named entity recognition with CRFs. - Fang Luo; Pei Fang; Qizhi Qiu; Han Xiao 001 (CSCWD, 2012)

An improved shortest path algorithm based on orientation rectangle for restricted searching area. - Wenyan Zhou; Qizhi Qiu; Peng Luo; Pei Fang (CSCWD, 2013)

FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework. - Pei Fang; Zhendong Cai; Hui Chen; Qingjiang Shi (CoRR, 2020)

Loss Tolerant Federated Learning. - Pengyuan Zhou; Pei Fang; Pan Hui 001 (CoRR, 2021)

Are You Left Out?: An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions. - Pengyuan Zhou; Hengwei Xu; Lik Hang Lee; Pei Fang; Pan Hui 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

On the Vulnerability of Backdoor Defenses for Federated Learning. - Pei Fang; Jinghui Chen (AAAI, 2023)

Chasing the light or chasing the dark? top managers' political ties and corporate proactive environmental strategy. - Zhiwei Yan; Xuerong Peng; Seoki Lee; Pei Fang (Technol. Anal. Strateg. Manag., 2023)

Advancing Root Cause Analysis in Cloud-native System with Knowledge Graph Path Embedding Translation. - Pengsheng Li; Qingfeng Du; Shengjie Zhao; Pei Fang (CSCWD, 2024)

Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data. - Yongqi Han 001; Qingfeng Du; Ying Huang; Pengsheng Li; Xiaonan Shi; Jiaqi Wu; Pei Fang; Fulong Tian; Cheng He (IEEE Trans. Serv. Comput., 2024)

Does executives' ecological embeddedness predict corporate eco-innovation? Empirical evidence from China. - Xuerong Peng; Pei Fang; Seoki Lee; Zeye Zhang (Technol. Anal. Strateg. Manag., 2024)

Boundary sample-based class-weighted semi-supervised learning for malignant tumor classification of medical imaging. - Pei Fang; Renwei Feng; Changdong Liu; Renjun Wen (Medical Biol. Eng. Comput., 2024)