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ORCIDTingting Zhao 0001
Person information
- affiliation: Tianjin University of Science and Technology, College of Artificial Intelligence, China
- affiliation (former): Tokyo Institute of Technology, Japan
Other persons with the same name
- Tingting Zhao (aka: Ting-Ting Zhao, Ting-ting Zhao) — disambiguation page
- Tingting Zhao 0002 — Peking University, School of Electronical Engineering and Computer Science, Beijing, China
- Tingting Zhao 0003 — University of Sunderland, St. Peter's Campus, Faculty of Applied Sciences, UK
- Tingting Zhao 0004
![[0000-0002-4937-6709]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4937-6709")
— Central South University, School of Geosciences and Info-Physics, Changsha, China
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Journal Articles
- 2024
[j18]Xiaoju Yin, Xue Pan, Shiyu Lu, Zhiliang Du, Tingting Zhao, Xin Guan, Shuaijie Wang:
Teaching practice of wind turbine practical training based on virtual teaching platform. Comput. Appl. Eng. Educ. 32(2) (2024)- 2023
- [j17]Tingting Zhao, S. Wu, G. Li, Y. Chen, Gang Niu, Masashi Sugiyama:
Learning Intention-Aware Policies in Deep Reinforcement Learning. Neural Comput. 35(10): 1657-1677 (2023) - [j16]Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niu, Masashi Sugiyama:
Representation learning for continuous action spaces is beneficial for efficient policy learning. Neural Networks 159: 137-152 (2023) - [j15]Tingting Zhao, Guixi Li, Yajing Song, Yuan Wang, Yarui Chen, Jucheng Yang:
A multi-scenario text generation method based on meta reinforcement learning. Pattern Recognit. Lett. 165: 47-54 (2023) - 2021
- [j14]Tingting Zhao, Ying Wang, Guixi Li, Le Kong, Yarui Chen, Yuan Wang, Ning Xie, Jucheng Yang:
A model-based reinforcement learning method based on conditional generative adversarial networks. Pattern Recognit. Lett. 152: 18-25 (2021) - 2019
- [j13]Handi Chen, Tingting Zhao, Chengming Li, Yi Guo:
Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications. IEEE Access 7: 179185-179198 (2019) - [j12]Ning Xie, Tingting Zhao, Yang Yang, Heng Tao Shen:
Web-based SBLR method of multimedia tools for computer-aided drawing. Multim. Tools Appl. 78(1): 799-816 (2019) - [j11]Shuoran Jiang, Yarui Chen, Jucheng Yang, Chuanlei Zhang, Tingting Zhao:
Mixture variational autoencoders. Pattern Recognit. Lett. 128: 263-269 (2019) - 2018
- [j10]Jucheng Yang, Lingchao Zhang, Yuan Wang, Tingting Zhao, Wenhui Sun, Dong Sun Park:
Face Recognition based on Weber Symmetrical Local Graph Structure. KSII Trans. Internet Inf. Syst. 12(4): 1748-1759 (2018) - [j9]Ning Xie, Yang Yang, Heng Tao Shen, Tingting Zhao:
Stroke-based stylization by learning sequential drawing examples. J. Vis. Commun. Image Represent. 51: 29-39 (2018) - [j8]Shanshan Fang, Jucheng Yang, Na Liu, Wenhui Sun, Tingting Zhao:
Face recognition using weber local circle gradient pattern method. Multim. Tools Appl. 77(2): 2807-2822 (2018) - 2017
- [j7]Bin Hu, Ning Xie, Tingting Zhao, Xiaotong Zhang:
Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing. KSII Trans. Internet Inf. Syst. 11(3): 1265-1278 (2017) - [j6]Qiong Li, Tingting Zhao, Lingchao Zhang, Wenhui Sun, Xi Zhao:
Ferrography Wear Particles Image Recognition Based on Extreme Learning Machine. J. Electr. Comput. Eng. 2017: 3451358:1-3451358:6 (2017) - 2016
- [j5]Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama:
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions. Neural Comput. 28(3): 563-593 (2016) - [j4]Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto:
Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning. IEEE Robotics Autom. Mag. 23(1): 96-105 (2016) - 2014
- [j3]Voot Tangkaratt, Syogo Mori, Tingting Zhao, Jun Morimoto, Masashi Sugiyama:
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation. Neural Networks 57: 128-140 (2014) - 2013
- [j2]Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama:
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration. Neural Comput. 25(6): 1512-1547 (2013) - 2012
- [j1]Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama:
Analysis and improvement of policy gradient estimation. Neural Networks 26: 118-129 (2012)
Conference and Workshop Papers
- 2022
- [c10]Yuan Wang, Maoling Xu, Yanling Yan, Tingting Zhao, Yarui Chen, Jucheng Yang:
Exploring Topic Supervision with BERT for Text Matching. IJCNN 2022: 1-7 - [c9]Yuan Wang, Yubo Zhou, Peng Hu, Maoling Xu, Tingting Zhao, Yarui Chen:
Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification. NLPCC (2) 2022: 73-84 - [c8]Yuan Wang, Huiling Song, Peng Huo, Tao Xu, Jucheng Yang, Yarui Chen, Tingting Zhao:
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification. NLPCC (2) 2022: 85-97 - 2021
- [c7]Yuan Wang, Zekun Li, Leilei Zeng, Tingting Zhao:
End-to-End Pre-trained Dialogue System for Automatic Diagnosis. CCKS (Evaluation Track) 2021: 82-91 - 2019
- [c6]Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang:
Latent Gaussian-Multinomial Generative Model for Annotated Data. PAKDD (1) 2019: 42-54 - 2015
- [c5]Tingting Zhao, Gang Niu, Ning Xie, Jucheng Yang, Masashi Sugiyama:
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation. ACML 2015: 333-348 - [c4]Ning Xie, Tingting Zhao, Feng Tian, Xiaohua Zhang, Masashi Sugiyama:
Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning. IJCAI 2015: 2531-2539 - 2014
- [c3]Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto:
Efficient reuse of previous experiences in humanoid motor learning. Humanoids 2014: 554-559 - [c2]Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama:
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions. ECML/PKDD (2) 2014: 354-369 - 2011
- [c1]Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama:
Analysis and Improvement of Policy Gradient Estimation. NIPS 2011: 262-270
Informal and Other Publications
- 2022
- [i5]Yuan Wang, Huiling Song, Peng Huo, Tao Xu, Jucheng Yang, Yarui Chen, Tingting Zhao:
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification. CoRR abs/2205.11973 (2022) - [i4]Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niu, Masashi Sugiyama:
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning. CoRR abs/2211.13257 (2022) - 2014
- [i3]Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto:
Efficient Reuse of Previous Experiences to Improve Policies in Real Environment. CoRR abs/1405.2406 (2014) - 2013
- [i2]Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama:
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration. CoRR abs/1301.3966 (2013) - [i1]Syogo Mori, Voot Tangkaratt, Tingting Zhao, Jun Morimoto, Masashi Sugiyama:
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation. CoRR abs/1307.5118 (2013)
Coauthor Index
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