Tingting Zhao

42 papers A* 2B 1C 1Misc 1Journal 25Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Agent Reinforcement Learning-Based Resilience Engineering Method for Mobility-as-a-Service.
IEEE Trans. Netw. Serv. Manag.
Zhengshu Zhou, Weijie Yu, Tingting Zhao, Qian Long, Yutaka Matsubara, Hiroaki Takada
2026 A* conf
Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations.
AAAI
Yarui Chen, Lehan Hong, Jianlin Shao, Jianning Yang, Tingting Zhao, Yun Liao, Yancui Shi
2025 Misc conf
MS-RainMamba: Learning Multi-Scale State Space Models for Single Image Deraining.
ICASSP
Haibo Li, Zhanshuo Liu, Tuo Zhao, Tingting Zhao, Yarui Chen, Ning Xie
2024 — conf
AugSBertChat: User Feedback-Enhanced QA with Sentence-RoBERTa.
ICIC (LNAI 3)
Bin Zhang, Tingting Zhao, Chong Ma, Yarui Chen, Yuan Wang
2024 — conf
Hybrid Deep Generative and Sequential Learning Approach for Stock Market Prediction.
ICIC (LNAI 5)
Tuo Zhao, Xinxue Wang, Tingting Zhao, Yuan Wang, Yarui Chen, JuCheng Yang
2024 — conf
LDCM-MVIT: A Lightweight Depth Completion Model Based on MViT.
ICIC (LNAI 2)
Yarui Chen, Qixiu Wu, Lianlong Sun, Shiwei Wu, Mengchen Zhang, Bingqi Wang, Tingting Zhao
2024 J jnl
Learning explainable task-relevant state representation for model-free deep reinforcement learning.
Neural Networks
Tingting Zhao, Guixi Li, Tuo Zhao, Yarui Chen, Ning Xie, Gang Niu, Masashi Sugiyama
2024 — conf
PS-DeiT: A Part-Selection Based DeiT for Fine-Grained Classification.
ICIC (11)
Huan Gao, Yu Guo, Tingting Zhao, Zhiqiang Hu, Yarui Chen, Ning Xie
2024 J jnl
Teaching practice of wind turbine practical training based on virtual teaching platform.
Comput. Appl. Eng. Educ.
Xiaoju Yin, Xue Pan, Shiyu Lu, Zhiliang Du, Tingting Zhao, Xin Guan, Shuaijie Wang
2024 — conf
Text to Image Generation Based on Adaptive Attention.
PRICAI (4)
Yarui Chen, Fang Bao, Jianlin Shao, Jucheng Yang, Yuan Wang, Tingting Zhao
2023 J jnl
A multi-scenario text generation method based on meta reinforcement learning.
Pattern Recognit. Lett.
Tingting Zhao, Guixi Li, Yajing Song, Yuan Wang, Yarui Chen, JuCheng Yang
2023 J jnl
Learning Intention-Aware Policies in Deep Reinforcement Learning.
Neural Comput.
Tingting Zhao, S. Wu, G. Li, Y. Chen, Gang Niu, Masashi Sugiyama
2023 J jnl
Representation learning for continuous action spaces is beneficial for efficient policy learning.
Neural Networks
Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niu, Masashi Sugiyama
2022 — conf
Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification.
NLPCC (2)
Yuan Wang, Yubo Zhou, Peng Hu, Maoling Xu, Tingting Zhao, Yarui Chen
2022 — conf
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification.
NLPCC (2)
Yuan Wang, Huiling Song, Peng Huo, Tao Xu, JuCheng Yang, Yarui Chen, Tingting Zhao
2022 J jnl
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification.
CoRR
Yuan Wang, Huiling Song, Peng Huo, Tao Xu, JuCheng Yang, Yarui Chen, Tingting Zhao
2022 B conf
Exploring Topic Supervision with BERT for Text Matching.
IJCNN
Yuan Wang, Maoling Xu, Yanling Yan, Tingting Zhao, Yarui Chen, JuCheng Yang
2022 J jnl
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning.
CoRR
Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niu, Masashi Sugiyama
2021 J jnl
A model-based reinforcement learning method based on conditional generative adversarial networks.
Pattern Recognit. Lett.
Tingting Zhao, Ying Wang, Guixi Li, Le Kong, Yarui Chen, Yuan Wang, Ning Xie, JuCheng Yang
2021 — conf
End-to-End Pre-trained Dialogue System for Automatic Diagnosis.
CCKS (Evaluation Track)
Yuan Wang, Zekun Li, Leilei Zeng, Tingting Zhao
2019 J jnl
Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications.
IEEE Access
Handi Chen, Tingting Zhao, Chengming Li, Yi Guo
2019 — conf
Latent Gaussian-Multinomial Generative Model for Annotated Data.
PAKDD (1)
Shuoran Jiang, Yarui Chen, Zhifei Qin, JuCheng Yang, Tingting Zhao, Chuanlei Zhang
2019 J jnl
Mixture variational autoencoders.
Pattern Recognit. Lett.
Shuoran Jiang, Yarui Chen, JuCheng Yang, Chuanlei Zhang, Tingting Zhao
2019 J jnl
Web-based SBLR method of multimedia tools for computer-aided drawing.
Multim. Tools Appl.
Ning Xie, Tingting Zhao, Yang Yang, Heng Tao Shen
2018 J jnl
Face Recognition based on Weber Symmetrical Local Graph Structure.
KSII Trans. Internet Inf. Syst.
JuCheng Yang, Lingchao Zhang, Yuan Wang, Tingting Zhao, Wenhui Sun, Dong Sun Park
2018 J jnl
Face recognition using weber local circle gradient pattern method.
Multim. Tools Appl.
Shanshan Fang, JuCheng Yang, Na Liu, Wenhui Sun, Tingting Zhao
2018 J jnl
Stroke-based stylization by learning sequential drawing examples.
J. Vis. Commun. Image Represent.
Ning Xie, Yang Yang, Heng Tao Shen, Tingting Zhao
2017 J jnl
Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing.
KSII Trans. Internet Inf. Syst.
Bin Hu, Ning Xie, Tingting Zhao, Xiaotong Zhang
2017 J jnl
Ferrography Wear Particles Image Recognition Based on Extreme Learning Machine.
J. Electr. Comput. Eng.
Qiong Li, Tingting Zhao, Lingchao Zhang, Wenhui Sun, Xi Zhao
2016 J jnl
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions.
Neural Comput.
Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama
2016 J jnl
Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.
IEEE Robotics Autom. Mag.
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
2015 C conf
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation.
ACML
Tingting Zhao, Gang Niu, Ning Xie, JuCheng Yang, Masashi Sugiyama
2015 A* conf
Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning.
IJCAI
Ning Xie, Tingting Zhao, Feng Tian, Xiaohua Zhang, Masashi Sugiyama
2014 — conf
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions.
ECML/PKDD (2)
Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama
2014 J jnl
Efficient Reuse of Previous Experiences to Improve Policies in Real Environment.
CoRR
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
2014 — conf
Efficient reuse of previous experiences in humanoid motor learning.
Humanoids
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
2014 J jnl
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.
Neural Networks
Voot Tangkaratt, Syogo Mori, Tingting Zhao, Jun Morimoto, Masashi Sugiyama
2013 J jnl
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration.
Neural Comput.
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
2013 J jnl
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration
CoRR
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
2013 J jnl
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation.
CoRR
Syogo Mori, Voot Tangkaratt, Tingting Zhao, Jun Morimoto, Masashi Sugiyama
2012 J jnl
Analysis and improvement of policy gradient estimation.
Neural Networks
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
2011 — conf
Analysis and Improvement of Policy Gradient Estimation.
NIPS
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama