Tianxiang Yang

Orcid: 0000-0003-3619-7725

According to our database1, Tianxiang Yang authored at least 14 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Game mechanism and event-triggering based Natural Gas Demand Prediction (GMET-NGDP) model for Chemical and Fertilizer Industry.
Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023

2022
PDNet: A Lightweight Deep Convolutional Neural Network for InSAR Phase Denoising.
IEEE Trans. Geosci. Remote. Sens., 2022

Dynamic forecasting of the Shanghai Stock Exchange index movement using multiple types of investor sentiment.
Appl. Soft Comput., 2022

Selection of Persistent Scatterers with a Deep Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
A novel hybrid method for direction forecasting and trading of Apple Futures.
Appl. Soft Comput., 2021

Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator.
IEEE Access, 2021

A Decision Support System for Trading in Apple Futures Market Using Predictions Fusion.
IEEE Access, 2021

Studying Spatiotemporal Fractional Vegetation Cover Variations from 2000 to 2020 in Changjiang Basin, China with Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019
Identification of Insider Trading Using Extreme Gradient Boosting and Multi-Objective Optimization.
Inf., 2019

Prediction and Trading in Crude Oil Markets Using Multi-Class Classification and Multi-Objective Optimization.
IEEE Access, 2019

A Study on Analysis Methods of Latent Customer Purchase Behavior Focused on Membership Stage Growth.
Proceedings of the 2019 IEEE International Conference on Big Data, 2019

2015
Step Into Micro-World: Dynamic Simulation of the Coffee-Ring Effect.
Proceedings of the 14th International Conference on Computer-Aided Design and Computer Graphics, 2015


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