Selected Business Impacts (10+ patents had been filed or granted)
At Sony AI, I built PPML team from 0-1. Our team had supported Sony Semiconductor Solutions (SSS) --worldwide leader in image sensor market, on the development and PoC of a series of novel on-device AI solutions, that can support multi-task training under semi/un-supervised setting, and deploy AI models on tiny devices (few MB) to simultaneously conduct multiple CV tasks (classification, object detection, semantic segmentation, and pose estimation, etc) in an accurate, private and fast manner. Currently, our team is in the process of developing the first-ever privacy and robustness toolbox and federated learning platform (mainly for privacy-preserving vision foundation model development and edge-cloud collaboration) within Sony Group Corporation (SGC), which had impacted and benefited various business units across the company.
Before Sony AI, when I was a team leader in Ant Group. My team proposed a series of new algorithms (Fedsplit-GNN, Fed-KG) for PoC and landing of collaborative and privacy-preserving risk modelling in Fintech. Our team successfully realized the first landing of privacy-preserving multi-party risk governance in security and risk management business group (1k+ people) in Ant Group (Press). It had largely helped improve the fraud detection rate through the federation between Alipay (world’s largest mobile payment platform with billion++ users) and other business units across Ant Group and Alibaba.
Back to late 2017 and early 2018 when I was at IBM, I was the first person who proposed the concept of Collaborative Fairness in Federated Learning. Since then, Collaborative Fairness has attracted substantial attention from both academia (KDD'21 tutorial, CIKM, AAAI, etc) and industry (appeared in the white paper of China Academy of Information and Communications Technology (CAICT), landed in multiple companies' products, etc).
Sponsorship and Press
My past research projects were supported by an IBM Ph.D. Fellowship, ANU Translational Fellowship, Australian Research Council (ARC), EU FP7, National Science Foundation, etc. My past research has been featured or quoted by Nature, IEEE, TechCrunch, Wired, Bloomberg, Marktechpost, Towards Data Science (679K+ follower by 2023),SyncedReview, IBM, Microsoft, RE•WORK, insideBIGDATA, Toutiao, AI Technology Review, Paperweekly, AI era, CSDN, NetEase Finance, Sina Weibo, Zhuanzhi, iresearch, etc.