Caiwen Ding is an assistant professor in the Department of Computer Science & Engineering at the University of Connecticut. He received his Ph.D. degree from Northeastern University (NEU), Boston in 2019, supervised by Prof. Yanzhi Wang. His interests include machine Learning systems; computer architecture and heterogeneous computing (FPGAs/GPUs); computer vision, natural language processing; non-von Neumann computing and neuromorphic computing; privacy-preserving machine learning.
His work has been frequently published in high-impact conferences (e.g., DAC, ICCAD, ASPLOS, ISCA, MICRO, HPCA, SC, FPGA, MLSys, CVPR, AAAI, ACL, EMNLP, IJCAI, ICRA, DATE). His work on Block-Circulant Matrix-based Smartphone Acceleration received the Best Paper Award Nomination at DATE 2018; his work on ReRAM-based In-Memory Computing for DNN Acceleration received the Best Paper Award Nomination at DATE 2021.
Google Scholar DBLP Semantic Scholar
- Laboratory of Intelligent & Efficient Systems
- Laboratory of Machine Learning in Drug Discovery & Development
To prospective students:
I am always looking for highly-motivated Ph.D. students who have strong interests in FPGAs/GPUs programming (preferred), or machine learning/deep learning, with full financial support. You are welcome to drop me an email (firstname.lastname@example.org) with your materials such as CV and transcripts and mention my name in your application.
02/2023 Two papers on accelerating data/model learning were accepted to CVPR’23.
1/2023 Honored to receive a Research Grant from Semiconductor Research Corporation (SRC) as PI. Thanks to SRC!
1/2023 One paper is accepted by the 2023 IEEE ICRA, Robotics and Automation Society’s flagship conference.
1/2023 Honored to receive a Research Grant from DOE/Lawrence Livermore National Lab. Thanks to LLNL!
11/2022 Caiwen will organize the First Workshop on DL-Hardware Co-Design for AI Acceleration to be held in February 2023 at the 2023 AAAI Conference on Artificial Intelligence (AAAI 2023).
11/2022 Amit receives Eversourse fellowships for Spring 2023. Congrats!
11/2022 Jiahui receives synchrony fellowships for Spring 2023. Congrats!
11/2022 Our team won first place in accuracy and fourth place overall at the 2022 ACM/IEEE TinyML Design Contest at #ICCAD, among 150 teams from 10+countries. Open source codes
10/2022 Invited presentation at UConn AI Club.
10/2022 One paper is accepted by 2022 Medical Imaging Meets NeurIPS workshop (MedNeurIPS).
10/2022 One paper is accepted by 2022 IEEE BigData.
10/2022 One paper is accepted by 2022 HPCC.
10/2022 Invited presentation at UConn-Travelers Workshop.
9/2022 Invited presentation at UIUC AMD-Xilinx Center of Excellence.
9/2022 One paper is accepted by Nature Scientific Reports.
8/2022 Shaoyi and Hongwu receive GE Fellowship for Excellence for Spring 2023. Congrats!
8/2022 Shaoyi receives Eversourse fellowships for Fall 2022. Congrats!
9/2022 Xi receives Cigna fellowships for Fall 2022 and Spring 2023. Congrats!
8/2022 One paper is accepted by IEEE Transactions on Computers (TC).
7/2022 Two papers are accepted by ICCAD 2022.