I currently lead the gloabl Medical AI R&D efforts for DAMO Academy, Alibab Group. I am an IEEE Fellow on medical imaging, AI and oncology imaging; also serve as an Associate Editer for IEEE Trans. Pattern Analysis and Machine Intelligence (IF: 17.8), and IEEE Signal Processing Letters. I have been happily and fortunately serving as one of the active strong links between the MICCAI/TMI/MedIA community and IEEE Computer Society (CVPR/TPAMI). Our work have been selected for MICCAI 2020 and 2019 Medical Image Analysis special issues (selected best paper track), MICCAI 2018 young researcher publication impact award, MICCAI 2017 YSA runner up, MICCAI 2017 and 2016 travel awards; IEEE TMI most cited article in 5 years (Dr. Hoo-chang Shin), IEEE CVPR most cited medical imaging paper (Dr. Xiaosong Wang) in 5 years. Our two most important medical imaging dataset work both were published at IEEE CVPR 2017 (NIH ChestXray14) and 2018 (NIH DeepLesion). I also contributed to AAAI/NeurIPS/ICML in the past. My former NIH trainees won the RSNA Informatics best paper awards four times in the last 5 years (Xiaosong Wang 2016, Ke Yan 2018, Yuxing Tang 2019, Youbao Tang 2020)! I am also an elected MICCAI Board Member starting in Feb. 2021. I have been recently elected as a 2022 IEEE SPS (Signal Processing Society) Distinguished Industry Speaker for a two year term.