Sensory Feedback in Upper Limb Amputees Impacts Cortical Activity as Revealed by Multiscale Connectivity Analysis. - Rohit Bose; Keqin Ding; Manuel S. Seet; Luke Osborn; Anastasios Bezerianos; Nitish V. Thakor; Andrei Dragomir (EMBC, 2020)

Approach for fault prognosis using recurrent neural network. - Qianhui Wu; Keqin Ding; Biqing Huang (J. Intell. Manuf., 2020)

Sensory Stimulation Enhances Functional Connectivity towards the Somatosensory Cortex in Upper Limb Amputation. - Keqin Ding; Andrei Dragomir; Rohit Bose; Luke Osborn; Manuel S. Seet; Anastasios Bezerianos; Nitish V. Thakor (NER, 2021)

Remaining Useful Life Prediction Based on Normalizing Flow Embedded Sequence-to-Sequence Learning. - Haosen Yang 001; Keqin Ding; Robert C. Qiu; Tiebin Mi (IEEE Trans. Reliab., 2021)

Comparative research of lifting equipment fatigue life prediction based on different cumulative damage models. - Li Chen; Yanpeng Feng; Keqin Ding (ICMLCA, 2023)

Investigating the relationship between cue immersion and the strength of motor imagery during hand and wrist movements. - Christopher L. Hunt; Keqin Ding; Christoph S. Wagner; Nicolas Berberich; Karahan Yilmazer; Marlis Gonzalez-Fernandez; Gordon Cheng; Nitish V. Thakor (NER, 2023)

Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression. - Yun Zhang 002; Keqin Ding; Na Li 015; Hanli Wang; Xiaoxia Huang; C.-C. Jay Kuo (IEEE Trans. Image Process., 2023)

Sensory integration for neuroprostheses: from functional benefits to neural correlates. - Keqin Ding; Mohsen Rakhshan; Natalia Paredes-Acuña; Gordon Cheng; Nitish V. Thakor (Medical Biol. Eng. Comput., 2024)