Yichuan Zhang

Orcid: 0000-0002-3647-0245

According to our database1, Yichuan Zhang authored at least 31 papers between 2009 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
An Automatic Method for Elbow Joint Recognition, Segmentation and Reconstruction.
Sensors, July, 2024

Deep reinforcement learning using least-squares truncated temporal-difference.
CAAI Trans. Intell. Technol., 2024

Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
A Fast Approach to Satellite Range Rescheduling Using Deep Reinforcement Learning.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Research on Optimization Allocation Technology of Rural Electric Power Use Based on Artificial Intelligence Algorithm.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

2022
SSIT: a sample selection-based incremental model training method for image recognition.
Neural Comput. Appl., 2022

DFT: A deep feature-based semi-supervised collaborative training for vehicle recognition in smart cities.
Expert Syst. J. Knowl. Eng., 2022

2021
Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction.
Comput. Intell. Neurosci., 2021

A Novel Maximin-Based Multi-Objective Evolutionary Algorithm Using One-by-One Update Scheme for Multi-Robot Scheduling Optimization.
IEEE Access, 2021

Indoor Seat Occupancy Classification with Wi-Fi Channel State Information and Machine Learning Methods.
Proceedings of the SSIP 2021: 4th International Conference on Sensors, Signal and Image Processing, Nanjing, China, October 15, 2021

Data-efficient Deep Reinforcement Learning Method Toward Scaling Continuous Robotic Task with Sparse Rewards.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Shrimp: a robust underwater visible light communication system.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Deep Q-learning with Explainable and Transferable Domain Rules.
Proceedings of the Intelligent Computing Theories and Application, 2021

2019
TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System.
J. Circuits Syst. Comput., 2019

Probery: A Probability-based Incomplete Query Optimization for Big Data.
CoRR, 2019

PBAR: Parallelized Brain Storm Optimization for Association Rule Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Rim: A reusable iterative model for big data.
Knowl. Based Syst., 2018

Research on Mass Real Estate Evaluation Mode Based on BP Neural Network Model.
J. Adv. Comput. Intell. Intell. Informatics, 2018

The Theory and Algorithm of Ergodic Inference.
CoRR, 2018

Variational Measure Preserving Flows.
CoRR, 2018

Mim: A Merge Iteration and Its Applications for Big Data.
IEEE Access, 2018

BoatAR: a multi-user augmented-reality platform for boat.
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018

2015
Service workload patterns for Qos-driven cloud resource management.
J. Cloud Comput., 2015

The Research Purpose, Methods and Results of the "Annual Report for International Citations of China's Academic Journals".
Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29, 2015

2014
Workload Patterns for Quality-Driven Dynamic Cloud Service Configuration and Auto-Scaling.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Quasi-Newton Methods for Markov Chain Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009
Application of GIS Technology in Chinese Tourism.
Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology, 2009

Researches of the Industrial Wasteland Tourism in China.
Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology, 2009


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