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., DAC, ICCAD, ASPLOS, ISCA, MICRO, HPCA, SC, FPGA, MLSys, AAAI, ACL, EMNLP, IJCAI, 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 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.
11/2022 Jiahui receives Eversourse fellowships for Spring 2023. Congrats!
11/2022 Amit receives synchrony fellowships for Spring 2023. Congrats!
11/2022 Our team won first place in accuracy and fourth place overall at the 2022 ACM/IEEE TinyML Design Contest at #ICCAD, among 150 teams from 10+countries.
10/2022 Invited presentation at UConn AI Club.
10/2022 One paper is accepted by 2022 Medical Imaging Meets NeurIPS workshop (MedNeurIPS).
10/2022 One paper is accepted by 2022 IEEE BigData.
10/2022 One paper is accepted by 2022 HPCC.
10/2022 Invited presentation at UConn-Travelers Workshop.
9/2022 Invited presentation at UIUC AMD-Xilinx Center of Excellence.
9/2022 One paper is accepted by Nature Scientific Reports.
8/2022 Shaoyi and Hongwu receive GE Fellowship for Excellence for Spring 2023. Congrats!
8/2022 Shaoyi receives Eversourse fellowships for Fall 2022. Congrats!
9/2022 Xi receives Cigna fellowships for Fall 2022 and Spring 2023. Congrats!
8/2022 One paper is accepted by IEEE Transactions on Computers (TC).
7/2022 Two papers are accepted by ICCAD 2022.
6/2022 Invited presentation at DCAS2022 15TH IEEE DALLAS CIRCUITS AND SYSTEMS CONFERENCE.
6/2022 Invited to serve on EMNLP review committee.
5/2022 Hongwu starts summer intern at PNNL.
5/2022 Shaoyi starts summer intern at ByteDance.
5/2022 Shanglin starts summer intern at Synopsys.
5/2022 Hongwu receives the Taylor L. Booth Graduate Fellowship, the highest honor for doctoral students at UConn CSE. Congrats!
5/2022 Shaoyi and Shanglin receive UConn CSE’s Predoctoral Prize for Research Excellence. Congrats!
5/2022 Jieren receives UConn CSE’s Predoctoral Fellowship. Congrats!
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 Invited to give a seminar at UConn CSE 35th Anniversary Lecture Series
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