activity
20152023
most citedDeep Learning and Its Applications to Machine Health Monitoring: A Survey

149 citations · 450 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CL2023★ 32 cited

Feature-aware conditional GAN for category text generation

Xinze Li, Kezhi Mao, Fanfan Lin +1

Category text generation receives considerable attentions since it is beneficial for various natural language processing tasks. Recently, the generative adversarial network (GAN) h…

cs.NE2023★ 46 cited

Particle swarm optimization with state-based adaptive velocity limit strategy

Xinze Li, Kezhi Mao, Fanfan Lin +1

Velocity limit (VL) has been widely adopted in many variants of particle swarm optimization (PSO) to prevent particles from searching outside the solution space. Several adaptive V…

eess.SY2023★ 76 cited

Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress

Xinze Li, Xin Zhang, Fanfan Lin +2

The dual active bridge (DAB) converter has been popular in many applications for its outstanding power density and bidirectional power transfer capacity. Up to now, triple phase sh…

eess.SY2023★ 57 cited

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency

Xinze Li, Xin Zhang, Fanfan Lin +2

Dual active bridge (DAB) converter is the key enabler in many popular applications such as wireless charging, electric vehicle and renewable energy. ZVS range and efficiency are tw…

cs.LG2023

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data

Qing Xu, Min Wu, Xiaoli Li +2

For many real-world time series tasks, the computational complexity of prevalent deep leaning models often hinders the deployment on resource-limited environments (e.g., smartphone…

cs.CV2023★ 3 cited

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation

Xiyu Wang, Yuecong Xu, Jianfei Yang +2

Continuous Video Domain Adaptation (CVDA) is a scenario where a source model is required to adapt to a series of individually available changing target domains continuously without…