Zhepeng Wang
Orcid: 0000-0002-1460-1128
According to our database1,
Zhepeng Wang
authored at least 45 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud.
CoRR, 2024
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
2023
Comput. Graph. Forum, June, 2023
VoxelNextFusion: A Simple, Unified, and Effective Voxel Fusion Framework for Multimodal 3-D Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023
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.
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.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Medical Image Anal., 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis.
CoRR, 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning.
CoRR, 2022
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation.
CoRR, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
2021
CoRR, 2021
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.
CoRR, 2021
CoRR, 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow.
CoRR, 2021
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).
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).
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).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast.
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.
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.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems.
CoRR, 2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems.
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.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
A Fast and Accurate Fully Convolutional Network for End-to-End Handwritten Chinese Text Segmentation and Recognition.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019