Lab Introduction:
JQub was established at George Mason University in Fall 2021. The Director of JQub is Dr. Weiwen Jiang, who was the Postdoctoral Associate in Prof. Yiyu Shi's team at the University of Notre Dame. He is the Ph.D. of Prof. Edwin H.-M. Sha at Chongqing University and co-advised by Prof. Jingtong Hu at the University of Pittsburgh, spending 2 years to conduct resarch at Pittsburgh in his Ph.D.

The team focuses on the hardware/software co-design for the broadly computing systems. The target application ranges from computer vision, natural language processing to medical-related artificial intelligence applications. The target hardware platform ranges from classical computing (i.e., FPGAs, ASICs, Computing-in-Memory, Mobile Phones, etc.) to quantum computing. The open projects from JQub can be accessed from GitHub.

The team is open for collaboration from both academic and industry. For contacting, please email to jqub.gmu@gmail.com.

Director:
Weiwen Jiang [Bio] [CV]
Assistant Professor
Electrical and Computer Engineering (ECE)
College of Engineering and Computing (CEC)

Address: Room 3247, Nguyen Engineering Building, Virginia, 22030
Campus: Fairfax
Email: wjiang8@gmu.edu
Phone: (412)427-0695
Research Interests: HW/SW Co-Design
    Hardware Related
    • Quantum Computing
    • Embedded Systems
    • FPGA

    Software Related
    • Neural Networks
    • AutoML
JQub regularly recurits Ph.D. students who are interested in Q&A:
     [Q] Quantum Machine Learning
     [A] HW/SW Co-Design AutoML
     [X] Openings for Fall 2021 have been filled. Pls. check later for Spring 2022 (Update Date: May. 22, 2021)
Sponsors:


News:
2021/10    The first NAS-based HW/SW Co-Design Framework won the Best Paper Award of IEEE TCAD 2021!
2021/10    Invited to serve as a TPC member in DAC 2022.
2021/09    Several papers will be published at IEEE/ACM ICCAD, Congrats. to Zhepeng, Zhiding, Yi, and collaborators!
2021/08    Invited to serve as Guest Editor in Electronics for the Special Issue "Quantum Machine Learning: Theory, Methods and Applications".
2021/08    Zhepeng and Zhiding received the Certificate of Quantum Excellence from IBM. Congrats!
2021/08    Invited to serve as a Program Committee (PC) Member in AAAI 2022.
2021/08    One paper is accepted by ICCV 2021.
2021/08    A tutorial proposal on QuantumFlow has been accepted by IEEE/ACM ICCAD
2021/08    A special session proposal with Prof. Caiwen Ding (UConn) on Drug Discovery has been accepted by IEEE/ACM ICCAD
2021/07    CFP: Weiwen will organize E2ML workshop at ICSG'21. Please consider to submit your ML or Quantum work to the workshop!
2021/06    A tutorial proposal on QuantumFlow has been accepted by IEEE Quantum Week. See you then virtually on Oct. 18-22, 2021.
2021/06    A tutorial proposal on QuantumFlow has been accepted by ESWEEK. See you then virtually on Oct. 08, 2021.
2021/05    Invited to serve as a TPC member in ICCAD 2021.
2021/04    Invited to serve as Guest Editor of IEEE TCAS-II Special Session on ISICAS 2021.
2021/04    Invited to serve as a TPC member in IEEE SOCC 2021.
2021/04    Invited to serve as a TPC member in ASAP 2021.
2021/03    Invited to serve as a TPC member in GLSVLSI 2021.
2021/03    Invited to serve as a TPC member in ISLVLSI 2021.
2021/03    Weiwen will join the ECE department at George Mason University as an Assistant Professor in Fall 2021.
2021/02    Our paper on AutoML for the on-line reconfigurable transformer is accepted by DAC 2021.
2021/01    The SS work serving as the backbone of QuantumFlow has been released at Github
2020/12    Top Winning Awards at IEEE Services Hackathon. Media Coverage:[ND Media]
2020/12    QuantumFlow work has been accepted by Nature Communications
2020/11    A special session work on implementing neural networks onto quantum circuits using IBM Qiskit will be given at ASP-DAC'21
2020/10    Invited to serve as a TPC member in DAC 2021.
2020/10    Invited to serve as a TPC member in SAC 2021.
2020/10    Invited to serve as a TPC member in SRC at ASP-DAC 2021.
2020/10    Invited to serve as a TPC member in ASP-DAC 2021.
2020/10    Our paper is accepted by ICCD 2020.
2020/10    Our paper is accepted by ICCAD 2020.
2020/09    Updated QuantumFlow has demonstrated Quantum Advantages for Neural Network Computation. Media Coverage:[AI era news]
2020/08    Proposal on FPGA-based COVID-19 Screening is funded by NSF IIS. Media Coverage:[The OBSERVER news]
2020/07    Our paper with the collaboration of Edgecortix is accepted by CODES+ISSS (ESWEEK 2020). [Paper]
2020/07    Invited presentation at ROAD4NN workshop in DAC'20. [Slides]
2020/06    The first machine learning and quantum circuit co-design framework, QuantumFlow, is on-line now. Media Coverage:[AI era news]
2020/06    Two papers on NAS for Medical Image Segmentation and NAS for secure Medical are accepted by MICCAI.
2020/04    Received research grant from Facebook for the collaboration of on-deivce AI.
2020/04    Our paper on co-exploration of NAS and CIM is accepted by IEEE TC.
2020/03    Our paper with the collaboration of Edgecortix is accepted by IEEE TCAD.
2020/02    Our paper with the collaboration of Facebook and Georgia Tech is accepted by DAC 2020.
2020/01    Dr. Jiang is invited to be the TPC member in Late Result Break in DAC'20
2020/01    One paper is accepted by ECAI 2020.
2020/01    Dr. Jiang is invited to be the TPC member in ISLVLSI'20
2020/01    Our ASP-DAC 2020 paper is Nominated as Best Paper Candidate. [Details]
2020/01    Dr. Jiang is invited to be the TPC member in GLSVLSI'20
2019/10    Received research grant from Edgecortix for the collaboration in HW/SW Co-Exploration for Machine Learning on Edge.
2019/09    Received travel grant from IEEE/CEDA.
2019/08    Our paper on Co-Exploring Neural Architecture and Network-on-Chip Designs is accepted by ASP-DAC 2020.
2019/08    Our CODES+ISSS2019 paper is Nominated as Best Paper Candidate (Presentation Scheduled on Oct. 14). [Details]
2019/08    Talk our recent works in Technical Webinar of NSF IUCRC for ASIC - August, 2019 (Presentation).
2019/07    One tutorial paper is accepted by ICCAD 2019.
2019/07    One paper is accepted by ISVLSI 2019.
2019/07    Obtain Ph.D. degree and will join University of Notre Dame as a post-doctoral scholar.
2019/06    One paper on Achiveing Super-Linear Performance accross Multi-FPGA is accepted by CODES+ISSS (ESWEEK 2019) [arXiv].
2019/05    Our DAC2019 paper is Nominated as Best Paper Candidate (Presentation Scheduled on Jun. 4) (Rate 5/815=0.61%). [Details]