Caiwen Ding

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Caiwen Ding
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

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) in 2019, supervised by Prof. Yanzhi Wang.
His interests include
– Machine Learning & Deep Neural Network Systems;
– Computer Vision, Natural Language Processing;
– Computer Architecture and Heterogeneous Computing (CPUs/FPGAs/GPUs);
– Non-von Neumann Computing and Neuromorphic Computing;
– Efficient computing for cyber-physical systems and embedded systems.

His work has been published in high-impact conferences (e.g., AAAI, EMNLP, ASPLOS, ISCA, MICRO, HPCA, FPGA, DAC, DATE, ISLPED). 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

Laboratory

To prospective students:

I am always looking for highly-motivated Ph.D. students who have strong interests in FPGAs/GPUs-based accelerator,  or machine learning/deep learning, with full financial support. You are welcome to drop me an email with your materials such as CV and transcripts, and mention my name in your application.

Recent News

01/2021 Paper “TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators” receives Best Paper Award Nomination at DATE 2021.

12/2020 Received Google’s exploreCSR award. Welcome to the Tri-State ExploreCSR Workshop.

12/2020 Caiwen will serve as the Web Chair of the 32nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)’21.

12/2020 Caiwen will serve as a Reviewer of ACL/IJCNLP 2021.

11/2020 One paper about Efficient Federated Learning is accepted in SpicyFL workshop at NeurIPS 2020.

11/2020 One paper is accepted in The Design, Automation, and Test in Europe Conference (DATE) 2021.

11/2020 Caiwen will serve as a committee member for CVPR 2021.

10/2020 Received USDA-NIFA HATCH Award.

10/2020 Caiwen will serve on the committee for NAACL-HLT 2021.

10/2020 Caiwen will serve as a TPC member in DAC 2021.

09/2020 One paper is accepted in the findings of Empirical Methods in Natural Language Processing (EMNLP) 2020.

09/2020 Caiwen will serve as a PC member in the 22nd International Symposium on Quality Electronic Design (ISQED).

09/2020 Caiwen will serve as a member of the Program Committee in AAAI 2021.

08/2020 Caiwen will serve as a member of the Program Committee in IJCAI 2021.

08/2020 One invited paper is accepted in the 2020 IEEE International System-on-Chip Conference (SOCC).

07/2020 Caiwen will serve as a TPC member in FPGA 2021.

06/2020 One invited paper has been accepted in 2020 ACM Great Lakes Symposium on VLSI (GLSVLSI).

05/2020 One paper on Transformer Acceleration on FPGA  is accepted in 2020 ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED).

04/2020 Caiwen will serve as a TPC member in the 2020 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

04/2020 Caiwen will serve as a TPC member in the 2020 IEEE International Conference on Computer Design (ICCD).

02/2020 One paper is accepted in 2020 ACM/EDAC/IEEE Design Automation Conference (DAC).

02/2020 One poster is accepted in 2020 ACM/EDAC/IEEE Design Automation Conference (DAC).

More News

Research Sponsors:

Clustramaps