Tingting Zhao

According to our database, Tingting Zhao authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Teaching practice of wind turbine practical training based on virtual teaching platform.

Xiaoju Yin, Xue Pan, Shiyu Lu, Zhiliang Du, Tingting Zhao, Xin Guan, Shuaijie Wang

Comput. Appl. Eng. Educ., March, 2024

2023

Learning Intention-Aware Policies in Deep Reinforcement Learning.

Tingting Zhao, S. Wu, G. Li, Y. Chen, Gang Niu, Masashi Sugiyama

Neural Comput., October, 2023

Representation learning for continuous action spaces is beneficial for efficient policy learning.

Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niu, Masashi Sugiyama

Neural Networks, February, 2023

A multi-scenario text generation method based on meta reinforcement learning.

Tingting Zhao, Guixi Li, Yajing Song, Yuan Wang, Yarui Chen, Jucheng Yang

Pattern Recognit. Lett., January, 2023

2022

Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification.

Yuan Wang, Yubo Zhou, Peng Hu, Maoling Xu, Tingting Zhao, Yarui Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification.

Yuan Wang, Huiling Song, Peng Huo, Tao Xu, Jucheng Yang, Yarui Chen, Tingting Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Exploring Topic Supervision with BERT for Text Matching.

Yuan Wang, Maoling Xu, Yanling Yan, Tingting Zhao, Yarui Chen, Jucheng Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A model-based reinforcement learning method based on conditional generative adversarial networks.

Tingting Zhao, Ying Wang, Guixi Li, Le Kong, Yarui Chen, Yuan Wang, Ning Xie, Jucheng Yang

Pattern Recognit. Lett., 2021

End-to-End Pre-trained Dialogue System for Automatic Diagnosis.

Yuan Wang, Zekun Li, Leilei Zeng, Tingting Zhao

Proceedings of the CCKS 2021 - Evaluation Track, 2021

2019

Mixture variational autoencoders.

Shuoran Jiang, Yarui Chen, Jucheng Yang, Chuanlei Zhang, Tingting Zhao

Pattern Recognit. Lett., 2019

Web-based SBLR method of multimedia tools for computer-aided drawing.

Ning Xie, Tingting Zhao, Yang Yang, Heng Tao Shen

Multim. Tools Appl., 2019

Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications.

Handi Chen, Tingting Zhao, Chengming Li, Yi Guo

IEEE Access, 2019

Latent Gaussian-Multinomial Generative Model for Annotated Data.

Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Face recognition using weber local circle gradient pattern method.

Shanshan Fang, Jucheng Yang, Na Liu, Wenhui Sun, Tingting Zhao

Multim. Tools Appl., 2018

Stroke-based stylization by learning sequential drawing examples.

Ning Xie, Yang Yang, Heng Tao Shen, Tingting Zhao

J. Vis. Commun. Image Represent., 2018

Face Recognition based on Weber Symmetrical Local Graph Structure.

Jucheng Yang, Lingchao Zhang, Yuan Wang, Tingting Zhao, Wenhui Sun, Dong Sun Park

KSII Trans. Internet Inf. Syst., 2018

2017

Ferrography Wear Particles Image Recognition Based on Extreme Learning Machine.

Qiong Li, Tingting Zhao, Lingchao Zhang, Wenhui Sun, Xi Zhao

J. Electr. Comput. Eng., 2017

Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing.

Bin Hu, Ning Xie, Tingting Zhao, Xiaotong Zhang

KSII Trans. Internet Inf. Syst., 2017

2016

Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.

Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto

IEEE Robotics Autom. Mag., 2016

An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions.

Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama

Neural Comput., 2016

2015

Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning.

Ning Xie, Tingting Zhao, Feng Tian, Xiaohua Zhang, Masashi Sugiyama

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation.

Tingting Zhao, Gang Niu, Ning Xie, Jucheng Yang, Masashi Sugiyama

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.

Voot Tangkaratt, Syogo Mori, Tingting Zhao, Jun Morimoto, Masashi Sugiyama

Neural Networks, 2014

Efficient Reuse of Previous Experiences to Improve Policies in Real Environment.

Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto

CoRR, 2014

Efficient reuse of previous experiences in humanoid motor learning.

Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration.

Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama

Neural Comput., 2013

2012

Analysis and improvement of policy gradient estimation.

Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama

Neural Networks, 2012