An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm. - Ye Ni; Zhilong Xia; Fangtong Zhao; Chunrong Fang; Zhenyu Chen 001 (Computer, 2021)

An Investigation on Deep Learning Approaches to Combining Nighttime and Daytime Satellite Imagery for Poverty Prediction. - Ye Ni; Xutao Li; Yunming Ye; Yan Li 040; Chunshan Li; Dianhui Chu (IEEE Geosci. Remote. Sens. Lett., 2021)

MSA-DPCRN: A Multi-Scale Asymmetric Dual-Path Convolution Recurrent Network with Attentional Feature Fusion for Acoustic Echo Cancellation. - Ye Ni; Cong Pang; Chengwei Huang; Cairong Zou (INTERSPEECH, 2024)

Exploiting spatial information and target speaker phoneme loss for multichannel directional speech enhancement and recognition. - Cong Pang; Ye Ni; Lin Zhou 001; Li Zhao 003; Feifei Xiong (Comput. Speech Lang., 2025)

BP-CRN: A Lightweight Two-Stage Convolutional Recurrent Network for Multi-Channel Speech Enhancement. - Cong Pang; Ye Ni; Jiaming Cheng; Lin Zhou 001; Li Zhao 003 (IEICE Trans. Inf. Syst., 2025)

I2S-TFCKD: Intra-Inter Set Knowledge Distillation with Time-Frequency Calibration for Speech Enhancement. - Jiaming Cheng; Ruiyu Liang; Chao Xu; Ye Ni; Wei Zhou; Björn W. Schuller; Xiaoshuai Hao (CoRR, 2025)