Tingting Zhao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Face Recognition

Reinforcement Learning

Conditional Density Estimation

Interaction Model

Top Venues

Pattern Recognit. Lett.

Multim. Tools Appl.

Publications

Tuo Zhao, Xinxue Wang, Tingting Zhao, Yuan Wang, Yarui Chen, Jucheng Yang
Hybrid Deep Generative and Sequential Learning Approach for Stock Market Prediction. ICIC (LNAI 5) (2024)
Yarui Chen, Qixiu Wu, Lianlong Sun, Shiwei Wu, Mengchen Zhang, Bingqi Wang, Tingting Zhao
LDCM-MVIT: A Lightweight Depth Completion Model Based on MViT. ICIC (LNAI 2) (2024)
Bin Zhang, Tingting Zhao, Chong Ma, Yarui Chen, Yuan Wang
AugSBertChat: User Feedback-Enhanced QA with Sentence-RoBERTa. ICIC (LNAI 3) (2024)
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)
Huan Gao, Yu Guo, Tingting Zhao, Zhiqiang Hu, Yarui Chen, Ning Xie
PS-DeiT: A Part-Selection Based DeiT for Fine-Grained Classification. ICIC (11) (2024)
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 (2023)
Tingting Zhao, S. Wu, G. Li, Y. Chen, Gang Niu, Masashi Sugiyama
Learning Intention-Aware Policies in Deep Reinforcement Learning. Neural Comput. 35 (10) (2023)
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 (2023)
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 (2022)
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)
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)
Yuan Wang, Maoling Xu, Yanling Yan, Tingting Zhao, Yarui Chen, Jucheng Yang
Exploring Topic Supervision with BERT for Text Matching. IJCNN (2022)
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 (2022)
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 (2021)
Yuan Wang, Zekun Li, Leilei Zeng, Tingting Zhao
End-to-End Pre-trained Dialogue System for Automatic Diagnosis. CCKS (Evaluation Track) (2021)
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) (2019)
Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang
Latent Gaussian-Multinomial Generative Model for Annotated Data. PAKDD (1) (2019)
Shuoran Jiang, Yarui Chen, Jucheng Yang, Chuanlei Zhang, Tingting Zhao
Mixture variational autoencoders. Pattern Recognit. Lett. 128 (2019)
Handi Chen, Tingting Zhao, Chengming Li, Yi Guo
Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications. IEEE Access 7 (2019)
Ning Xie, Yang Yang, Heng Tao Shen, Tingting Zhao
Stroke-based stylization by learning sequential drawing examples. J. Vis. Commun. Image Represent. 51 (2018)
Shanshan Fang, Jucheng Yang, Na Liu, Wenhui Sun, Tingting Zhao
Face recognition using weber local circle gradient pattern method. Multim. Tools Appl. 77 (2) (2018)
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) (2018)
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 (2017)
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) (2017)
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) (2016)
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) (2016)
Tingting Zhao, Gang Niu, Ning Xie, Jucheng Yang, Masashi Sugiyama
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation. ACML (2015)
Ning Xie, Tingting Zhao, Feng Tian, Xiaohua Zhang, Masashi Sugiyama
Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning. IJCAI (2015)
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 (2014)
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
Efficient reuse of previous experiences in humanoid motor learning. Humanoids (2014)
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)
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
Efficient Reuse of Previous Experiences to Improve Policies in Real Environment. CoRR (2014)
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 (2013)
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration CoRR (2013)
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration. Neural Comput. 25 (6) (2013)
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
Analysis and improvement of policy gradient estimation. Neural Networks 26 (2012)
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
Analysis and Improvement of Policy Gradient Estimation. NIPS (2011)