Hardware Acceleration of NN & DL Using FPGA, TPUs, GPUs and ASICs. Computer Architecture, CPU Microarchitecture and Reconfigurable Computing. Multicore / Multithreaded & Heterogeneous Computing (Resource Scheduling & Memory consistency & Cache Coherence). Circuit Design and Electronic System Implementation (HPC, Embedded Systems, etc).

We proposed a diffuse imaging approach for universal noninvasive blood glucose measurements based on visible light, which can predict the blood glucose concentration without personal calibration. The proposed approach used a CCD to obtain …

2023年12月4日 · Kanca O, Zirin J, Hu Y, Tepe B, Dutta D, Lin WW, Ma L, Ge M, Zuo Z, Liu LP, Levis RW, Perrimon N, Bellen HJ (2022) An expanded toolkit for Drosophila gene tagging using synthesized homology donor constructs for CRISPR mediated homologous recombination.

Ming-Feng Ge (IEEE Senior Member) is currently a Professor in the School of Mechanical Engineering and Electronic Information, as well as the head of Department of Mechanical...

2014年12月9日 · The magnesium alloys attract the light-weight manufacture due to its high strength to weight ratio, however the poor corrosion resistance limits the application in automobile industry. The...

2019年2月4日 · Spatially and temporally controlling electron spin polarization in strong-field ionization using orthogonal two-color laser fields | Phys. Rev. Meng Han 1, Peipei Ge 1, Ming-Ming Liu 1, Qihuang Gong 1,2, and Yunquan Liu 1,2,3,4,* Phys. Rev. A 99, 023404 – Published 4 February, 2019. DOI: https://doi.org/10.1103/PhysRevA.99.023404.

2024年3月15日 · To overcome this challenge, this study proposes a novel methodological framework named as Multi-source Variational Mode Transfer Learning (MSVMTL) that integrates data decomposition, deep learning, and multi-source transfer learning strategies.

Dr. Ge earned his undergraduate degree from the Xi'an Conservatory of Music, where he studied under the tutelage of Professor Liu Changbiao. He later taught, with honors, as a faculty member of the Xi’an Conservatory piano department.

Since then I've had pleasure to work with Jun-Yan Zhu at The Robotics Institute, Carnegie Mellon University, Ming-Yu Liu at NVIDIA Research, and Devi Parikh at Facebook AI Research. My research is supported by NVIDIA Graduate Fellowship.

Ming LIU, Associate Professor | Cited by 11,857 | of The Hong Kong University of Science and Technology, Kowloon (UST) | Read 496 publications | Contact Ming LIU