I’m a Computer Science PhD candidate at Stony Brook University. My research topics are NLP applications, mobile systems, and edge computing. More recently, I focus on building efficient NLP applications (on-device question answering, faster Transformers) for both edge and cloud. I’m a member of NetSys Lab directed by Prof. Aruna Balasubramanian. I also work closely with Prof. Niranjan Balasubramanian.

ACL '20 (long paper)Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian and Niranjan Balasubramanian. Deformer: Decomposing Pre-trained Transformers for Faster Question Answering, the 58th annual meeting of the Association for Computational Linguistics. [pdf]

MobiSys '19Qingqing Cao, Noah Weber, Niranjan Balasubramanian, and Aruna Balasubramanian. DeQA: On-Device Question Answering, the 17th ACM International Conference on Mobile Systems, Applications, and Services. [pdf], [slides]

MobiCom '17Jian Xu (co-primary), Qingqing Cao (co-primary), Aditya Prakash, Aruna Balasubramanian, and Don Porter. UIWear: Easily Adapting User Interfaces for Wearable Devices, the 23rd Annual International Conference on Mobile Computing and Networking. [pdf], [slides], [code]

MobiCom '17 DemoJian Xu (co-primary), Qingqing Cao (co-primary), Aditya Prakash, Aruna Balasubramanian, and Don Porter. Demo: UIWear: Easily Adapting User Interfaces for Wearable Devices, the 23rd Annual International Conference on Mobile Computing and Networking. [pdf], [poster], [video]

EMDL '17Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian. MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU, 1st International Workshop on Embedded and Mobile Deep Learning. [pdf], [slides], [code]

MobiSys 2017 Student Travel Grant, 2017

Special CS Department Chair Fellowship, 2015

ACL 2020 TPC (demo track), 2020

MobiSys PhD Forum TPC, 2018

IEEE Transactions on Mobile Computing (TMC) Reviewer, 2018