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Ph.D. in Computer Science, Stony Brook University
Aug 2015 - Sep 2021
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B.Eng. in Computer Science and Technology, Wuhan University
Sept 2011 - Jun 2015
News
2023-05 Two papers accepted to ACL 2023
2023-04 Checkout our survey paper on efficient NLP (accepted to TACL)
2022-04 MobiVQA paper accepted to IMWUT/UbiComp 2022
2021-10
I started my next journey as a postdoc at UW
2021-09
I successfully defended!
2021-06
Our energy estimation paper (IrEne) has been chosen as an oral presentation at ACL 2021!
2021-06
Mobile DNN accelerator paper accepted to the EMDL 2021 workshop @ MobiSys!
2021-05
One long paper accepted to ACL 2021
2021-03
Thrilled to receive the Catacosinos Fellowship!
2021-02
Present my research (poster) on Stony Brook CS Graduate Research Day.
2021-01
Attended UChicago Rising Stars in Data Science Workshop, check out my 5-min lightning talk
2020-12
Joined the JSys Student Editorial Board
2020-12
Excited to be a CDAC Rising Star
2020-10
Passed the thesis proposal defense! Feel free to check out the slides.
2020-09
One paper accepted to SustaiNLP workshop @ EMNLP 2020
2020-09
Happy to serve on the EuroSys 2021 shadow PC
2020-07
Attended amazing ACL 2020!
2020-04
One long paper accepted to ACL 2020
2020-02
Invited to serve on the PC for ACL 2020 (demo track)
2019-06
Attending MobiSys 2019
2019-03
DeQA accepted to MobiSys 2019
2018-05
Starting Intership at Microsoft Research Redmond
2018-03
Serving on MobiSys 2018 PhD Forum
2017-10
Attending MobiCom 2017
2017-07
Starting Internship at Bell-Labs Cambridge
2017-06
UIWear accepted at MobiCom 2017
2017-05
Awarded MobiSys 2017 Student Travel Grant
2017-05
MobiRNN accepted at EMDL 2017
Ph.D. in Computer Science, Stony Brook University
Aug 2015 - Sep 2021
B.Eng. in Computer Science and Technology, Wuhan University
Sept 2011 - Jun 2015
Postdoctoral Scholar, University of Washington
Oct 2021 - present
Research Assistant, Stony Brook University
June, 2016 - Sep 2021
Research Intern, Microsoft Research Redmond
June, 2018 - Aug, 2018
Mentor: Oriana Riva
Research Intern, Bell Labs Cambridge
July, 2017 - Sept, 2017
Mentor: Nic Lane
NeurIPS 2023Adaptive Representations for Semantic Search
Aniket Rege*, Aditya Kusupati*, Sharan Ranjit, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, and Ali Farhadi.
Neural Information Processing Systems
arxiv, code
preprintEfficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi.
Under submission
arxiv, code
ACL 2023 (long paper)PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Qingqing Cao, Bhargavi Paranjape and Hannaneh Hajishirzi.
The 61th Annual Meeting of the Association for Computational Linguistics.
paper, arxiv, acl, code, poster, slides
ACL 2023 (long paper)A Survey for Efficient Open Domain Question Answering
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn and Meng Fang.
The 61th Annual Meeting of the Association for Computational Linguistics.
arxiv, acl
TACL 2023Efficient Methods for Natural Language Processing: A Survey
Marcos Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro H. Martins, André F. T. Martins, Jessica Zosa Forde, Peter Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz.
Transactions of the Association for Computational Linguistics.
paper
IMWUT/UbiComp 2022MobiVQA: Efficient On-Device Visual Question Answering
Qingqing Cao, Prerna Khanna, Aruna Balasubramanian and Nicholas D. Lane.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
pdf, bibtex, slides
EMNLP 2021 (demo)IrEne-viz: Visualizing Energy Consumption of Transformer Models
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian.
The 2021 Conference on Empirical Methods in Natural Language Processing.
pdf, demo url, bibtex, acl
ACL 2021 (long paper)IrEne: Interpretable Energy Prediction for Transformers
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian and Niranjan Balasubramanian.
The 59th Annual Meeting of the Association for Computational Linguistics.
pdf, code, bibtex, acl, gslides
EMDL@MobiSys 2021Are Mobile DNN Accelerators Accelerating DNNs?
Qingqing Cao, Alexandru Eugen Irimiea, Mohamed Abdelfattah, Aruna Balasubramanian and Nicholas D. Lane.
The 5th International Workshop on Embedded and Mobile Deep Learning.
pdf, slides, code, bibtex, gslides, presentation
SustaiNLP@EMNLP 2020Towards Accurate and Reliable Energy Measurement of NLP Models
Qingqing Cao, Aruna Balasubramanian and Niranjan Balasubramanian.
The First Workshop on Simple and Efficient Natural Language Processing.
pdf, slides, code, bibtex, acl, gslides, presentation
ACL 2020 (long paper)DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian and Niranjan Balasubramanian.
The 58th Annual Meeting of the Association for Computational Linguistics.
pdf, slides, code, bibtex, acl, gslides, presentation
MobiSys 2019DeQA: On-Device Question Answering
Qingqing Cao, Noah Weber, Niranjan Balasubramanian, and Aruna Balasubramanian.
The 17th ACM International Conference on Mobile Systems, Applications, and Services.
pdf, slides, code, bibtex
MobiCom 2017UIWear: Easily Adapting User Interfaces for Wearable Devices
Jian Xu (co-primary), Qingqing Cao (co-primary), Aditya Prakash, Aruna Balasubramanian, and Don Porter.
The 23rd Annual International Conference on Mobile Computing and Networking.
pdf, slides, code, bibtex
MobiCom 2017Demo: UIWear: Easily Adapting User Interfaces for Wearable Devices
Jian Xu (co-primary), Qingqing Cao (co-primary), Aditya Prakash, Aruna Balasubramanian, and Don Porter.
The 23rd Annual International Conference on Mobile Computing and Networking.
pdf, poster, video, bibtex
EMDL@MobiSys 2017MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU
Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian.
The 1st International Workshop on Embedded and Mobile Deep Learning.
pdf, slides, code, bibtex
Efficient NLP for Heterogeneous Platforms: Microsoft Research Asia (May 2021), University of Washington (April 2021), UC Santa Barbara (March 2021), University of Glasgow (March 2021)
Answering Questions in a Faster and Greener Way: SBU 3MT (April 2021), talk video
Efficient Neural Question Answering for Heterogeneous Platforms: Uchicago CDAC (Jan 2021), talk video
Postdoc Research Award, University of Washington, 2022
Catacosinos Fellowship (2 out of 232 PhD students), Stony Brook University, 2021
CDAC Rising Stars in Data Science, University of Chicago, 2021
MobiSys Student Travel Grant, ACM SIGMOBILE, 2017
Special CS Department Chair Fellowship, Stony Brook University, 2015
National Scholarship (top 0.2%), China Ministry of Education, 2013
Program committee/Reviewer: ACL Rolling Review, EMNLP 2021-2022, ACL 2021-2023, NAACL 2021-2022, Eurosys 2021 (shadow), ACL 2020 (demo), MobiSys 2018 (PhD forum), IEEE Transactions on Mobile Computing (reviewer), JSys Student Editorial Board Member.
Volunteering Service: Student volunteer for MobiSys 2017 and ACL 2020.
Mentor service: Stony Brook CS Grad Buddies Program; MS students: Aditya Prakash, Sruti Kumari, Mohit Marwari, Naga Naravamakula, Chenghao Yang, and Alexandru Eugen Irimiea (Oxford)
Teaching: Instructor for Women in Science & Engineering (WISE) 380