An improved RFID anti-collision algorithm and its application in food tracking. - Jinsheng Lu; Lvqing Yang; Yishu Qiu; Dingzhao Li (ICCSE, 2019)

Classification of resting state EEG data in patients with depression. - Dingzhao Li; Jintao Tang; Yihui Deng; Lvqing Yang (HealthCom, 2020)

A Class-Incremental Approach With Self-Training and Prototype Augmentation for Specific Emitter Identification. - Dingzhao Li; Jie Qi; Shaohua Hong; Pengfei Deng; Haixin Sun (IEEE Trans. Inf. Forensics Secur., 2024)

Sound Speed Inversion Based on Multi-Source Ocean Remote Sensing Observations and Machine Learning. - Xiao Feng 002; Tian Tian; Mingzhang Zhou; Haixin Sun; Dingzhao Li; Feng Tian; Rongbin Lin (Remote. Sens., 2024)

SSCL-AMC: A Self-supervised Automatic Modulation Classification Method via Dynamic Augmentation and Ensemble Learning. - Yilin Cai; Dingzhao Li; Sheng Wu; Mingyuan Shao; Shaohua Hong; Haixin Sun (ICASSP, 2025)

An efficient sparse Bayesian DOA estimator based on fixed-point method for off-grid targets. - Yongfeng Huang; Zhendong Chen; Dingzhao Li; Kun Ye; Lang Zhou; Shaohua Hong (Expert Syst. Appl., 2025)

A Self-Supervised-Based Approach of Specific Emitter Identification for the Automatic Identification System. - Dingzhao Li; Mingyuan Shao; Pengfei Deng; Shaohua Hong; Jie Qi; Haixin Sun (IEEE Trans. Cogn. Commun. Netw., 2025)

IQFormer: A Novel Transformer-Based Model With Multi-Modality Fusion for Automatic Modulation Recognition. - Mingyuan Shao; Dingzhao Li; Shaohua Hong; Jie Qi; Haixin Sun (IEEE Trans. Cogn. Commun. Netw., 2025)

Integration Communication and Detection Scheme Based on Superimposed Waveform. - Yifei Wang; Junfeng Wang 006; Mingzhang Zhou; Dingzhao Li; Yu Jiang; Ning Li (IEEE Trans. Commun., 2025)

Non-Exemplar Class-Incremental Learning via Prototype Correction and Hierarchical Regularization for Specific Emitter Identification. - Dingzhao Li; Zhendong Chen; Mingyuan Shao; Xiaowei Chen; Shaohua Hong; Jie Qi; Haixin Sun (IEEE Trans. Intell. Transp. Syst., 2025)