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

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 & Deep Neural Network Systems;
– Computer Vision, Natural Language Processing;
– Computer Architecture and Heterogeneous Computing (CPUs/FPGAs/GPUs);
– Non-von Neumann Computing and Neuromorphic Computing;
– Privacy-Preserving Machine Learning;
– Efficient computing for cyber-physical systems and embedded systems.

His work has been frequently published in high-impact conferences (e.g., AAAI, EMNLP, IJCAI, ASPLOS, ISCA, MICRO, HPCA, SC, 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

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.

More News

Research Sponsors:

Clustramaps