A Deep Neural Model for Emotion-Driven Multimodal Attention. - German Ignacio Parisi; Pablo V. A. Barros; Haiyan Wu; Guochun Yang; Zhenghan Li; Xun Liu 001; Stefan Wermter (AAAI Spring Symposia, 2017)

A computational model of crossmodal processing for conflict resolution. - German Ignacio Parisi; Pablo V. A. Barros; Matthias Kerzel; Haiyan Wu; Guochun Yang; Zhenghan Li; Xun Liu 001; Stefan Wermter (ICDL-EPIROB, 2017)

Development of a Product Reverse Design Teaching and Learning Model in Engineering Design Education. - Yong Wang; Haiping Ding; Zhaoping Ji; Zhenghan Li; Kun Wang (ICFET, 2020)

A new nested array for direction-of-arrival estimation. - Zhenghan Li; Huiping Huang; Bin Liao 001 (Multidimens. Syst. Signal Process., 2020)

Model Selection - Knowledge Distillation Framework for Model Compression. - Renhai Chen; Shimin Yuan; Shaobo Wang 003; Zhenghan Li; Meng Xing; Zhiyong Feng 002 (SSCI, 2021)

Deep learning based wavefront sensor for complex wavefront detection in adaptive optical microscopes. - Shuwen Hu; Lejia Hu; Wei Gong; Zhenghan Li; Ke Si (Frontiers Inf. Technol. Electron. Eng., 2021)

iPatrol: Illegal Roadside Parking Detection Leveraging On-road Vehicle Crowdsensing. - Ruixue Huang; Lianghua Cheng; Zhenghan Li; Chaocan Xiang; Yulan Guo (IWQoS, 2024)

Balancing Electric Scooter Battery Swapping Network by Spatio-Temporal Recommendation. - Enyi Zhou; Zhenghan Li; Dehua Liu; Chaocan Xiang; Jiayi Chen; Wenhui Cheng (IEEE Trans. Intell. Transp. Syst., 2024)