Biao Yin

Orcid: 0009-0005-9219-0538

According to our database1, Biao Yin authored at least 21 papers between 2013 and 2024.

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Bibliography

2024
A multi-channel spatial information feature based human pose estimation algorithm.
Cybersecur., December, 2024

2023
DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses.
Proceedings of the International Conference on Machine Learning and Applications, 2023

AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures.
Proceedings of the International Conference on Machine Learning and Applications, 2023

MOSS: AI Platform for Discovery of Corrosion-Resistant Materials.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?
Proceedings of the IEEE International Conference on Big Data, 2022

2021
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Corrosion Image Data Set for Automating Scientific Assessment of Materials.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Corrosion Assessment: Data Mining for Quantifying Associations between Indoor Accelerated and Outdoor Natural Tests.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection.
Neural Comput. Appl., 2019

2017
Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016
Comparing dynamic programming based algorithms in traffic signal control system.
Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016

2015
Contrôle adaptatif des feux de signalisation dans les carrefours : modélisation du système de trafic dynamique et approches de résolution. (Adaptative traffic signal control at intersections : dynamic traffic system modeling and algorithms).
PhD thesis, 2015

结合运动方程与卡尔曼滤波的动态目标追踪预测算法 (Dynamic Target Tracking and Predicting Algorithm Based on Combination of Motion Equation and Kalman Filter).
计算机科学, 2015

Adaptive Traffic Signal Control for Multi-intersection Based on Microscopic Model.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Approximate dynamic programming with recursive least-squares temporal difference learning for adaptive traffic signal control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Approximate Dynamic Programming for Traffic Signal Control at Isolated Intersection.
Proceedings of the Modern Trends and Techniques in Computer Science, 2014

Traffic control model and algorithm based on decomposition of MDP.
Proceedings of the International Conference on Control, 2014

2013
Markov Decision Process for Traffic Control at an Isolated Intersection.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013


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