Caiwen Ding

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

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), 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., ASPLOS, ISCA, MICRO, HPCA, SC, AAAI, ACL, EMNLP, IJCAI, 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 Semantic Scholar


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 with your materials such as CV and transcripts and mention my name in your application.

Recent News

4/2022 Our DAC 22 paper “A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining” has been recognized as a Publicity Paper.

4/2022 Caiwen gave an invited seminar at UConn CEE 5030 Transportation Graduate Seminar.

4/2022 Invited to serve on the External Review Committee (ERC) for the 2023 HPCA.

4/2022 Nathan Choi has been admitted to the graduate program of UC Berkeley. Congrats Nathan!

2/2022 One paper “Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm” is accepted by the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) main conference. Congrats to Shaoyi!

2/2022 Received two more (three in total) Alveo U280 Data Center Accelerator ($7,145 each) from the Xilinx University Program. Thanks to Xilinx!

2/2022 One paper is accepted by DAC 2022; Congrats to Hongwu and Shaoyi!

2/2022 We are excited to join the UIUC Xilinx Center of Excellence as an external collaborator.

1/2022 One paper “QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity” is accepted by MLSys 2022.

1/2022 I am honored to receive a Research Grant from USDA-NIFA Agriculture and Food Research Initiative (Award No.: 2022-67023-36399) as Co-PI! Link

11/2021 One paper “Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices” is accepted by DATE 2022. Congrats to Jieren and Shanglin!

10/2021 Received $30,000 worth of GCP Credits from Google.

10/2021 Received the 2021 UCONN IMS IMMP grant.

09/2021 Received a research grant from the Eversource Energy Center at UConn.

08/2021 Received a research grant from Travelers.

08/2021 Jieren’s two first-authored papers “TAG: Gradient Attack on Transformer-based Language Models” and “A Secure and Efficient Federated Learning Framework for NLP” are accepted by EMNLP 2021. Congrats!

08/2021 Caiwen is invited to serve as a member of the novel Program Committee Board (PCB) of IJCAI.

07/2021 Our special session proposal with Prof. Weiwen Jiang (GMU) on AI for drug discovery has been accepted by ICCAD 2021.

07/2021 One paper is accepted by ICCAD 2021. Congrats to Hongwu, Shaoyi, and Bingbing!

07/2021 Caiwen gave an invited talk on Model Compression on DNNs at UTSA’s REU Seminar Series.

07/2021 Caiwen gave an invited talk on Binary Neural Networks on FPGA at ASAP’2021.

06/2021 Jieren received an internship offer from ORNL. Congratulations to Jieren!

06/2021 Two papers “E.T.: Re-Thinking Self-Attention for Transformer Models on GPUs” andDr.Top-k: Delegate-Centric Top-k Computation on GPUs” are accepted in SC 2021.

06/2021 Received 2021 UConn Research Excellence Program (REP) Award.

05/2021 Congratulations to Kiera Wolfe on her first-place win at the 2021 Tri-State ExploreCSR Workshop! (UConn CSE news)

05/2021 Received an Alveo U280 Data Center Accelerator ($6,495) from the Xilinx University Program. Thanks to Xilinx!

05/2021 Caiwen will serve as a TPC member of ICESS 2021.

05/2021 One paper is accepted in the Transportation Consortium of South-Central States (TranSET) 2021.

04/2021 Two papers “Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation” and “Against Membership Inference Attack: Pruning is All You Need” are accepted in IJCAI 2021.

04/2021 Two papers are accepted in GLSVLSI 2021.

04/2021 Caiwen will serve as a reviewer of DAC’2021 Late-Breaking Results.

04/2021 Caiwen will serve as a TPC member of GLSVLSI 2021.

04/2021 Caiwen will serve as a TPC member of ISVLSI 2021.

03/2021 One paper “FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator” is accepted in IEEE/ACM International Symposium on Computer Architecture (ISCA 2021).

02/2021 Received “Excellent in teaching” award from Provost.

02/2021 One paper “Design, Sensing, and Control of a Novel UAV Platform for Aerial Drilling and Screwing” is accepted in IEEE Robotics and Automation Letters (IEEE RA-L). We will present it at the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021).

02/2021 One paper is accepted in IEEE Transactions on Parallel and Distributed Systems (TPDS).

02/2021 Two papers “Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices” and “A unified DNN weight pruning framework using reweighted optimization methods” are accepted in the ACM/EDAC/IEEE Design Automation Conference (DAC) 2021.

02/2021 Three papers are accepted in ISQED 2021.

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.

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.

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

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