Yizhao Gao

Orcid: 0000-0002-4564-3646

According to our database1, Yizhao Gao authored at least 48 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Model-Based Battery Dataset Recovery Method Considering Cell Aging in Real-World Electric Vehicles.
IEEE Trans. Ind. Informatics, May, 2024

DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

Co-designing a Sub-millisecond Latency Event-based Eye Tracking System with Submanifold Sparse CNN.
CoRR, 2024

Event-Based Eye Tracking. AIS 2024 Challenge Survey.
CoRR, 2024

Enhancing Class-Incremental Learning for Image Classification via Bidirectional Transport and Selective Momentum.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Unsupervised Continual Learning of Image Representation Via Rememory-Based Simsiam.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA.
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023
A Reconfigurable Architecture for Real-time Event-based Multi-Object Tracking.
ACM Trans. Reconfigurable Technol. Syst., December, 2023

Random resistive memory-based deep extreme point learning machine for unified visual processing.
CoRR, 2023

DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
CoRR, 2023

Learning with Adaptive Knowledge for Continual Image-Text Modeling.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Mixup-Inspired Video Class-Incremental Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-Integer Geometric Programming.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model.
IEEE Trans. Ind. Electron., 2022

Evaluation of the Effect of Multiparticle on Lithium-Ion Battery Performance Using an Electrochemical Model.
IEEE CAA J. Autom. Sinica, 2022

An evaluation of geo-located Twitter data for measuring human migration.
Int. J. Geogr. Inf. Sci., 2022

PYTAF: A Python Tool for Spatially Resampling Earth Observation Data.
Earth Sci. Informatics, 2022

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

REMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.
CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.
CoRR, 2021

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning.
CoRR, 2021

Contrastive prototype learning with augmented embeddings for few-shot learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Z-Score Normalization, Hubness, and Few-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020
Health-Aware Multiobjective Optimal Charging Strategy With Coupled Electrochemical-Thermal-Aging Model for Lithium-Ion Battery.
IEEE Trans. Ind. Informatics, 2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.
CoRR, 2020

Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Robust abnormality detection methods for spatial search of radioactive materials.
Trans. GIS, 2019

Classification and Review of the Charging Strategies for Commercial Lithium-Ion Batteries.
IEEE Access, 2019

Algorithm-hardware Co-design for Deformable Convolution.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Drbox Family: A Group of Object Detection Techniques for Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Drboxlight: A Light Object Detection Model for Remote Sensing Applications.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Mapping spatiotemporal patterns of events using social media: a case study of influenza trends.
Int. J. Geogr. Inf. Sci., 2018

A multidimensional spatial scan statistics approach to movement pattern comparison.
Int. J. Geogr. Inf. Sci., 2018

2016
Mapping neighborhood scale survey responses with uncertainty metrics.
J. Spatial Inf. Sci., 2016

Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. <i>ISPRS International Journal of Geo-Information</i> 2016, <i>5</i>, 187.
ISPRS Int. J. Geo Inf., 2016

Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach.
ISPRS Int. J. Geo Inf., 2016

2014
FluMapper: a cyberGIS application for interactive analysis of massive location-based social media.
Concurr. Comput. Pract. Exp., 2014

A cloud computing approach to on-demand and scalable cybergis analytics.
Proceedings of the ScienceCloud'14, 2014

2013
FluMapper: an interactive CyberGIS environment for massive location-based social media data analysis.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013


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