Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending. - Yufei Xia; Chuanzhe Liu; Nana Liu (Electron. Commer. Res. Appl., 2017)

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring. - Yufei Xia; Chuanzhe Liu; YuYing Li; Nana Liu (Expert Syst. Appl., 2017)

A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending. - Yufei Xia; Xiaoli Yang; Yeying Zhang (Electron. Commer. Res. Appl., 2018)

A novel heterogeneous ensemble credit scoring model based on bstacking approach. - Yufei Xia; Chuanzhe Liu; Bowen Da; Fangming Xie (Expert Syst. Appl., 2018)

A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending. - Yufei Xia (IEEE Access, 2019)

A novel tree-based dynamic heterogeneous ensemble method for credit scoring. - Yufei Xia; Junhao Zhao; Lingyun He; Yinguo Li; Mengyi Niu (Expert Syst. Appl., 2020)

Incorporating multilevel macroeconomic variables into credit scoring for online consumer lending. - Yufei Xia; Yinguo Li; Lingyun He; Yixin Xu; Yiqun Meng (Electron. Commer. Res. Appl., 2021)

Forecasting green bond volatility via novel heterogeneous ensemble approaches. - Yufei Xia; Hanfei Ren; Yinguo Li; Jiahui Xia; Lingyun He; Nana Liu (Expert Syst. Appl., 2022)

An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS. - Xiaofei Wang 009; Sefik Emre Eskimez; Manthan Thakker; Hemin Yang; Zirun Zhu; Min Tang; Yufei Xia; Jinzhu Li; Sheng Zhao; Jinyu Li 001; Naoyuki Kanda (INTERSPEECH, 2024)

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like. - Naoyuki Kanda; Xiaofei Wang 009; Sefik Emre Eskimez; Manthan Thakker; Hemin Yang; Zirun Zhu; Min Tang; Canrun Li; Chung-Hsien Tsai; Zhen Xiao; Yufei Xia; Jinzhu Li; et al. (CoRR, 2024)

From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges. - Qiongxiu Li; Wenrui Yu; Yufei Xia; Jun Pang 001 (CoRR, 2025)

Byzantine-Resilient Federated Learning via Distributed Optimization. - Yufei Xia; Wenrui Yu; Qiongxiu Li (CoRR, 2025)