BigDL: A Distributed Deep Learning Framework for Big Data. - Jason Jinquan Dai; Yiheng Wang; Xin Qiu 006; Ding Ding; Yao Zhang; Yanzhang Wang; Xianyan Jia; Cherry Li Zhang; Yan Wan; Zhichao Li; Jiao Wang; Shengsheng Huang; et al. (SoCC, 2019)

Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants. - Luyang Wang; Kai Huang; Jiao Wang; Shengsheng Huang; Jason Jinquan Dai; Yue Zhuang (CoRR, 2020)

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster. - Jason Jinquan Dai; Ding Ding; Dongjie Shi; Shengsheng Huang; Jiao Wang; Xin Qiu 006; Kai Huang; Guoqiong Song; Yang Wang; Qiyuan Gong; Jiaming Song; Shan Yu; et al. (CVPR, 2022)

Efficient Multi-Task Learning via Generalist Recommender. - Luyang Wang; Cangcheng Tang; Chongyang Zhang; Jun Ruan; Kai Huang; Jason Jinquan Dai (CIKM, 2023)