Inductive Method for Evaluating RFID Security Protocols. - Defu Liu 001; Guowu Yang; Yong Huang 003; Jinzhao Wu (Wirel. Commun. Mob. Comput., 2019)

Gradient boosting tree for 1H-MRS Alzheimer diagnosis. - Defu Liu 001; Guowu Yang; Yuchen Li; Jinzhao Wu; Fengmao Lv (Int. J. Data Min. Bioinform., 2020)

Quantization-based hashing with optimal bits for efficient recommendation. - Yan Zhang 036; Defu Liu 001; Guowu Yang; Lin Hu 002 (Multim. Tools Appl., 2020)

Robust Binary Loss for Multi-Category Classification with Label Noise. - Defu Liu 001; Guowu Yang; Jinzhao Wu; Jiayi Zhao; Fengmao Lv (ICASSP, 2021)

Multi-object Spatial-Temporal Anomaly Detection Using an LSTM-Based Framework. - Jin Ning 001; Leiting Chen; Chuan Zhou 004; Defu Liu 001 (Neural Process. Lett., 2021)

Extending Ordinary-Label Learning Losses to Complementary-Label Learning. - Defu Liu 001; Jin Ning 001; Jinzhao Wu; Guowu Yang (IEEE Signal Process. Lett., 2021)

Multi-category classification with label noise by robust binary loss. - Defu Liu 001; Jiayi Zhao; Jinzhao Wu; Guowu Yang; Fengmao Lv (Neurocomputing, 2022)

Noisy Label Learning With Provable Consistency for a Wider Family of Losses. - Defu Liu 001; Wen Li 001; Lixin Duan; Ivor W. Tsang; Guowu Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Convergence Path to Deep Learning on Noisy Labels. - Defu Liu 001; Ivor W. Tsang; Guowu Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)