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.
- 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-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.
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” and “Dr.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 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.