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;
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 has received the Best Paper Award Nomination at DATE 2018.
- 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.
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).
02/2020 Caiwen will serve as a TPC member in the 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
01/2020 One invited paper has been accepted in 2020 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
01/2020 One paper on NLP acceleration has been accepted in BARC Workshop 2020 (Long presentation).
01/2020 One paper on Privacy-Preserving-Oriented DNN Pruning has been accepted in BARC Workshop 2020 (Lightning presentation).
01/2020 One invited paper on DRL in UAVs has been accepted in ISQED 2020.
01/2020 Caiwen will serve as a TPC member in DAC Late Breaking Results (DAC-LBR).
01/2020 Caiwen will serve as a TPC member in Boston Area Architecture (BARC) Workshop.
12/2019 Caiwen will serve as a TPC member in GLSVLSI 2020.
11/2019 One paper is accepted in ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) 2020, Poster.
11/2019 Caiwen served as the 2019 ICCAD CADathlon problem co-chair.
09/2019 One workshop paper is accepted in Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI).
09/2019 Caiwen will serve as a TPC member in DAC 2020.
09/2019 Caiwen will serve as a TPC member in FPGA 2020.
08/2019 One paper is accepted in the 25th Asia and South Pacific Design Automation Conference (ASP-DAC).
08/2019 Caiwen joined UConn CSE.