Dewen Zeng

I am a Ph.D. candidate in the Computer Science and Engineering Department of University of Notre Dame. My advisor is Dr. Yiyu Shi. Here is our lab website SCL. Currently, my research focuses on advanced representation learning for computer vision models, especially for medical images. Before coming to University of Notre Dame, I received my master’s degree at Huazhong University of Science & Technology.

GitHub / Google Scholar / CV / LinkedIn

Experience

Student Researcher, Google, May 2022 - Mar. 2023. (hosted by Tao Wang and Nan Du)

Intern, Allen Institute for Cell Science, May 2021 - Aug. 2021. (hosted by Jianxu Chen)

	Learning to Skip for Language Modeling Dewen Zeng, Nan Du, Tao Wang, Yuanzhong Xu, Tao Lei, Zhifeng Chen, Claire Cui. Arxiv, 2023 arxiv
	Additional Positive Enables Better Representation Learning for Medical Images Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi. MICCAI, 2023 arxiv
	Self-supervised On-device Federated Learning from Unlabeled Streams Jiahe Shi, Yawen Wu, Dewen Zeng, Jun Tao, Jingtong Hu, Yiyu Shi. TCAD, 2023 arxiv
	Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu AAAI, 2023 arxiv / code
	FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis Yawen Wu, Dewen Zeng** (equal contribution), Xiaowei Xu, Yiyu Shi and Jingtong Hu. MICCAI, 2022 arxiv
	Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu Medical Image Analysis, 2022 arxiv
	Decentralized Unsupervised Learning of Visual Representations Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi and Jingtong Hu. IJCAI, 2022 arxiv
	Positional Contrastive Learning for Volumetric Medical Image Segmentation Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, and Yiyu Shi MICCAI, 2021 arxiv / code
	Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography Dewen Zeng, Mingqi Li, Yukun Ding, Xiaowei Xu, Qiu Xie, Ruixue Xu, Hongwen Fei, Meiping Huang, Jian Zhuang, and Yiyu Shi. IPMI, 2021 arxiv / code
	Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays Dewen Zeng, John N Kheir, Peng Zeng and Yiyu Shi. ICCAD (invited), 2021 arxiv / code
	Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation Xinrong Hu, Dewen Zeng, Xiaowei Xu and Yiyu Shi, MICCAI, 2021 arxiv / code
	Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition Yukun Ding, Dewen Zeng, Mingqi Li, Hongwen Fei, Haiyun Yuan, Meiping Huang, Jian Zhuang and Yiyu Shi MICCAI, 2021 arxiv
	Federated Contrastive Learning for Volumetric Medical Image Segmentation Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi and Jingtong Hu MICCAI, 2021 arxiv
	Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography Dewen Zeng, Yukun Ding, Xiaowei Xu, Haiyun Yuan, Hongwen Fei, Meiping Huang, Jian Zhuang, Jingtong Hu and Yiyu Shi. DAC (invited), 2021 arxiv
	Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning Yawen Wu, Dewen Zeng, Zhepang Wang, Yi Sheng, Lei Yang, and Alaina J James, Yiyu Shi, Jingtong Hu ICCAD (invited), 2021 arxiv
	Enabling On-Device Self-supervised Contrastive Learning with Selective Data Contrast Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi and Jingtong Hu DAC, 2021 arxiv
	A deep learning approach with temporal consistency for automatic myocardial segmentation of quantitative myocardial contrast echocardiography Mingqi Li, Dewen Zeng, Qiu Xie, Ruixue Xu, Yu Wang, Dunliang Ma, Yiyu Shi, Xiaowei Xu, Meiping Huang, Hongwen Fei The International Journal of Cardiovascular Imaging, 2021 arxiv
	Towards Cardiac Intervention Assistance: Hardware-Aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu and Yiyu Shi. ICCAD (invited), 2020 arxiv
	MDA: A Reconfigurable Memristor-based Distance Accelerator for Time Series Mining on Data Centers Xiaowei Xu, Yu Hu, Dewen Zeng, Wenyao Xu, Feng Lin, Xinwei Yao and Yiyu Shi TCAD, 2019 arxiv
	An Efficient Memristor-Based Distance Accelerator for Time Series Data Mining on Data Centers Xiaowei Xu, Dewen Zeng, Wenyao Xu, Yiyu Shi, Yu Hu DAC, 2017 arxiv

Awards

Second prize, Tiny and Fair ML Design Contest at ESWEEK, 2023

CSE Outstanding RA, Spring, 2023.

Top Winning Award, IEEE SERVICES Hackathon, 2020.

Outstanding undergraduate, Qiming College, Huazhong University of Science and Technology, 2016.

Second prize, National Undergraduate Electronics Design Contest (NUEDC), 2015.

Source code from Leonid Keselman's website, originated from Jon Barron's website

Dewen Zeng

Experience

Learning to Skip for Language Modeling

Additional Positive Enables Better Representation Learning for Medical Images

Self-supervised On-device Federated Learning from Unlabeled Streams

Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Distributed Contrastive Learning for Medical Image Segmentation

Decentralized Unsupervised Learning of Visual Representations

Positional Contrastive Learning for Volumetric Medical Image Segmentation

Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography

Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays

Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation

Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition

Federated Contrastive Learning for Volumetric Medical Image Segmentation

Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning

Enabling On-Device Self-supervised Contrastive Learning with Selective Data Contrast

A deep learning approach with temporal consistency for automatic myocardial segmentation of quantitative myocardial contrast echocardiography

Towards Cardiac Intervention Assistance: Hardware-Aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation

MDA: A Reconfigurable Memristor-based Distance Accelerator for Time Series Mining on Data Centers

An Efficient Memristor-Based Distance Accelerator for Time Series Data Mining on Data Centers

Awards