Caiwen Ding

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Assistant Professor
Department of Computer Science & Engineering
School of Engineering
University of Connecticut, Storrs, CT 06269

Contact:
Phone: (860) 486-0006
Email: caiwen dot ding at uconn dot edu
Address: 371 Fairfield Way Unit 4155 Room 361, Storrs, CT 06269-2155

Office hours: Tue 10am-11am, or by appointment.

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, Oakland, SC, FPGA, MLSys, ICML, 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. He received the Best Paper Award at the 2023 AAAI DCAA workshop. His team won first place in accuracy and fourth place overall at the 2022 ACM/IEEE TinyML Design Contest at ICCAD.

Google Scholar DBLP Semantic Scholar

Laboratory

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 (caiwen.ding1@gmail.com) with your materials such as CV and transcripts and mention my name in your application.

Recent News

5/2023 Hongwu receives DEED Scholarship from New York Power Authority. Congrats!

5/2023 Shaoyi, Hongwu, Shanglin receive the 2023 UConn CSE Predoctoral Fellowship. Congrats!

4/2023 One paper is accepted by 2023 ICML.

4/2023 Invited to serve as the Associate Editor for IEEE MWSCAS in Neural Networks Track.

4/2023 One paper is accepted by 2023 IJCAI.

4/2023 Amit, Jiahui, and Kiran receive the DAC Young Fellows. Congrats!

3/2023  Kiran receives Synchrony fellowship for Fall 2023. Congrats!

3/2023 One paper is accepted by 2023 IEEE S&P (“Oakland“).

2/2023 Two papers on accelerating data/model learning are 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 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 fellowship for Spring 2023. Congrats!

11/2022  Jiahui receives synchrony fellowship 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.

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