Jason Jinquan Dai

According to our database, Jason Jinquan Dai authored at least 4 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient Multi-Task Learning via Generalist Recommender.

Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang, Jason Jinquan Dai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

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

2019

BigDL: A Distributed Deep Learning Framework for Big Data.

Jason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019