Talk version. I am a graduating Computer Science Ph.D. candidate at Stony Brook University. My research topics are natural language processing (NLP), mobile computing, and machine learning systems. I have focused on building efficient and practical NLP systems for both edge devices and the cloud, such as on-device question answering (MobiSys 2019), faster Transformer models (ACL 2020), and accurate energy estimation of NLP models. I have two fantastic advisors: Prof. Aruna Balasubramanian and Prof. Niranjan Balasubramanian. I’m on Google Scholar and Semantic Scholar.
Updates: I’m looking for postdoc openings in academia or research positions in the industry.

[email protected] '20Qingqing Cao, Aruna Balasubramanian and Niranjan Balasubramanian. Towards Accurate and Reliable Energy Measurement of NLP Models, First Workshop on Simple and Efficient Natural Language Processing. pdf, slides, code, bibtex, acl, gslides, presentation

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, slides, code, bibtex, acl, gslides, presentation

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, code, bibtex

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, bibtex

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, bibtex

[email protected] '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, bibtex

MobiSys 2017 Student Travel Grant

Special CS Department Chair Fellowship, 2015

NAACL 2021 Program Committee

Grad Buddies Program Mentor

Eurosys 2021 Shadow TPC

Secondary Reviewer for EMNLP 2020

Student Volunteer for ACL 2020

ACL 2020 Program Committee (demo track)

MobiSys 2018 PhD Forum Program Committee

IEEE Transactions on Mobile Computing (TMC) Reviewer, 2018

Student Volunteer for MobiSys 2017

Secondary Reviewer for IMC 2017, MobiSys 2017-2020, MobiCom 2019-2021, EuroSys 2019, SIGCOMM 2019-2020

Worked with excellent master students: Aditya Prakash, Sruti Kumari, Mohit Marwari, Naga Naravamakula, Chenghao Yang, and Alexandru Eugen Irimiea (Oxford)