Zhepeng Wang

According to our database, Zhepeng Wang authored at least 32 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases.

Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud.

Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.

Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

<i>VENUS</i>: A Geometrical Representation for Quantum State Visualization.

Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang

Comput. Graph. Forum, June, 2023

Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices.

Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin

CoRR, 2023

VENUS: A Geometrical Representation for Quantum State Visualization.

Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan

CoRR, 2023

QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model.

Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices.

Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices.

Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

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

Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Distributed contrastive learning for medical image segmentation.

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu

Medical Image Anal., 2022

Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis.

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

CoRR, 2022

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

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

CoRR, 2022

Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation.

Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu

CoRR, 2022

Decentralized Unsupervised Learning of Visual Representations.

Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Quantum Neural Network Compression.

Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Distributed Unsupervised Visual Representation Learning with Fused Features.

Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu

CoRR, 2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.

Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding

CoRR, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs.

Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang

CoRR, 2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow.

Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang

CoRR, 2021

Federated Contrastive Learning for Volumetric Medical Image Segmentation.

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs.

Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).

Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper).

Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper).

Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast.

Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs.

Zhepeng Wang, Yawen Wu, Zhenge Jia, Yiyu Shi, Jingtong Hu

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning.

Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems.

Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu

CoRR, 2020

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems.

Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices.

Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020