Yaping Zhao

Orcid: 0000-0002-3482-0942

According to our database1, Yaping Zhao authored at least 57 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks.
Inf. Fusion, 2025

2024
Semi-Supervised Semantic Segmentation for Light Field Images Using Disparity Information.
IEEE Trans. Image Process., 2024

An Analysis Method of System Coupling and Spatio-Temporal Evolution of County New Urbanization and Logistics Industry.
Syst., 2024

SEF-UNet: advancing abdominal multi-organ segmentation with SEFormer and depthwise cascaded upsampling.
PeerJ Comput. Sci., 2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.
CoRR, 2024

Data-driven optimization for energy-constrained dietary supplement scheduling: A bounded cut MP-DQN approach.
Comput. Ind. Eng., 2024

A Multi-Degradation Model Subject to Dependent Competing Failure Processes.
IEEE Access, 2024

Hippocampus Segmentation with Transformer-UNet Fusion and Squeeze-And-Excitation Block.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Deep Multi-scale Subspace Clustering Based on Bayesian Optimization.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Cross-Camera Human Motion Transfer by Time Series Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Inducing information transparency: The roles of gray market and dual-channel.
Ann. Oper. Res., October, 2023

Genomic instability-related twelve-microRNA signatures for predicting the prognosis of gastric cancer.
Comput. Biol. Medicine, March, 2023

Optimizing pricing and inventory strategies for dietary supplement production under stochastic demand.
Ind. Manag. Data Syst., 2023

Pruning random resistive memory for optimizing analogue AI.
CoRR, 2023

Point Cloud Denoising Via Momentum Ascent in Gradient Fields.
Proceedings of the IEEE International Conference on Image Processing, 2023

Improving Video Colorization by Test-Time Tuning.
Proceedings of the IEEE International Conference on Image Processing, 2023

A Novel Algorithm to Multi-view TSK Classification Based on the Dirichlet Distribution.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Deep Equilibrium Models for Snapshot Compressive Imaging.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Resource-controlled stochastic customer order scheduling via particle swarm optimization with bound information.
Ind. Manag. Data Syst., 2022

Factors Influencing Fitness App Users' Behavior in China.
Int. J. Hum. Comput. Interact., 2022

Mathematical Cookbook for Snapshot Compressive Imaging.
CoRR, 2022

Deep Equilibrium Models for Video Snapshot Compressive Imaging.
CoRR, 2022

Convolutional Echo-State Network with Random Memristors for Spatiotemporal Signal Classification.
Adv. Intell. Syst., 2022

Manet: Improving Video Denoising with a Multi-Alignment Network.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Improving Source Localization by Perturbing Graph Diffusion.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Cross-Camera Deep Colorization.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Reliability modeling for multistage systems subject to competing failure processes.
Qual. Reliab. Eng. Int., 2021

Pricing of a Three-Stage Supply Chain with a Big Data Company.
Oper. Res. Forum, 2021

Scheduling customer orders on unrelated parallel machines to minimise total weighted completion time.
J. Oper. Res. Soc., 2021

Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Framework.
CoRR, 2021

TSAMT: Time-Series-Analysis-based Motion Transfer among Multiple Cameras.
CoRR, 2021

Minimizing makespan of stochastic customer orders in cellular manufacturing systems with parallel machines.
Comput. Oper. Res., 2021

Stochastic customer order scheduling on heterogeneous parallel machines with resource allocation consideration.
Comput. Ind. Eng., 2021

Path Planning for Mobile Robots Based on TPR-DDPG.
Proceedings of the International Joint Conference on Neural Networks, 2021

EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Efficient Simulation Budget Allocation With Bound Information.
IEEE Trans. Autom. Control., 2020

Zoom in to the Details of Human-Centric Videos.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Inventory-Constrained Throughput Optimization for Stochastic Customer Orders.
IEEE Trans Autom. Sci. Eng., 2019

2018
Minimizing Expected Cycle Time of Stochastic Customer Orders Through Bounded Multi-Fidelity Simulations.
IEEE Trans Autom. Sci. Eng., 2018

Stochastic customer order scheduling with setup times to minimize expected cycle time.
Int. J. Prod. Res., 2018

2017
Throughputs Maximization of Stochastic Customer Orders Under Two Production Schemes.
IEEE Trans Autom. Sci. Eng., 2017

Maximizing the long-run average expected profit of a periodic-review assemble-to-order system.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
Prioritized customer order scheduling to maximize throughput.
Eur. J. Oper. Res., 2016

Effective throughput maximization of stochastic customer orders with inventory constraints.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Customer Order Scheduling on Unrelated Parallel Machines to Minimize Total Completion Time.
IEEE Trans Autom. Sci. Eng., 2015

Stochastic customer order scheduling using simulation-based genetic algorithm.
Proceedings of the 2015 Winter Simulation Conference, 2015

Stochastic customer order scheduling to maximize throughput.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2012
Numerical Simulation of Heavy Rail Quenching Process.
J. Comput., 2012

Computerized simulation of tooth contact and error sensitivity investigation for ease-off hourglass worm drives.
Comput. Aided Des., 2012

2011
Tooth flank modification theory of dual-torus double-enveloping hourglass worm drives.
Comput. Aided Des., 2011

2010
Computer aided analysis on the meshing behavior of a height-modified dual-torus double-enveloping toroidal worm drive.
Comput. Aided Des., 2010


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