Jing Zhao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Dynamical Model

Gaussian Process

Top Venues

Neural Process. Lett.

Publications

Jing Zhao, Zengyu Qiu, Huiqin Hu, Shiliang Sun
HWLane: HW-Transformer for Lane Detection. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Kaitao Chen, Shiliang Sun, Jing Zhao
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification. AAAI (2024)
Zhenbo Huang, Shiliang Sun, Jing Zhao
Reward-free offline reinforcement learning: Optimizing behavior policy via action exploration. Knowl. Based Syst. 299 (2024)
Chaoyue Ding, Shiliang Sun, Jing Zhao
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection. CoRR (2023)
Chaoyue Ding, Jing Zhao, Shiliang Sun
Concept Drift Adaptation for Time Series Anomaly Detection via Transformer. Neural Process. Lett. 55 (3) (2023)
Shiliang Sun, Jing Zhao, Minghao Gu, Shanhu Wang
Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling. Entropy 25 (4) (2023)
Wenbo Dong, Shiliang Sun, Jing Zhao, Nan Zhang
Knowledge graph relation reasoning with variational reinforcement network. Inf. Fusion 100 (2023)
Shaofan Liu, Shiliang Sun, Jing Zhao
Fair Transfer Learning with Factor Variational Auto-Encoder. Neural Process. Lett. 55 (3) (2023)
Shanhu Wang, Jing Zhao, Shiliang Sun
Effective Domain Adaptation for Robust Dysarthric Speech Recognition. ICONIP (10) (2023)
Zhenbo Huang, Shiliang Sun, Jing Zhao, Liang Mao
Multi-modal policy fusion for end-to-end autonomous driving. Inf. Fusion 98 (2023)
Chaoyue Ding, Shiliang Sun, Jing Zhao
MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection. Inf. Fusion 89 (2023)
Chaoyue Ding, Shiliang Sun, Jing Zhao
Multi-Modal Adversarial Example Detection with Transformer. IJCNN (2022)
Shiliang Sun, Ziang Dong, Jing Zhao
Conditional Random Fields for Multiview Sequential Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Zengyu Qiu, Jing Zhao, Shiliang Sun
MFIALane: Multiscale Feature Information Aggregator Network for Lane Detection. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi
Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation. IJCAI (2022)
Jing Zhao, Zengyu Qiu, Shiliang Sun
Multi-view multi-label active learning with conditional Bernoulli mixtures. Int. J. Mach. Learn. Cybern. 13 (6) (2022)
Tao Zhang, Shiliang Sun, Jing Zhao
Robust Cross-Modal Retrieval by Adversarial Training. IJCNN (2022)
Yujia Li, Shiliang Sun, Jing Zhao
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning. IJCAI (2022)
Xiao Liu, Jing Zhao, Shiliang Sun, Huawen Liu, Hao Yang
Variational multimodal machine translation with underlying semantic alignment. Inf. Fusion 69 (2021)
Shiqi Guo, Jing Zhao, Shiliang Sun
Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss. IJCNN (2021)
Daoming Zong, Shiliang Sun, Jing Zhao
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion. AAAI (2021)
Jing Zhao, Yi Zhang, Shiliang Sun, Haiwei Dai
Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition. Entropy 23 (10) (2021)
Zehui Cao, Jing Zhao, Shiliang Sun
Stick-Breaking Dependent Beta Processes with Variational Inference. Neural Process. Lett. 53 (1) (2021)
Lidan Wu, Daoming Zong, Shiliang Sun, Jing Zhao
A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition. ICASSP (2021)
Chaoyue Ding, Shiliang Sun, Jing Zhao
Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition. ICASSP (2021)
Han Zhu, Jing Zhao, Shiliang Sun
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique. PAKDD (2) (2020)
Jing Zhao, Xiao Liu, Shaojie He, Shiliang Sun
Probabilistic inference of Bayesian neural networks with generalized expectation propagation. Neurocomputing 412 (2020)
Xiao Liu, Jing Zhao, Shiliang Sun
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract). AAAI (2020)
Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao
A Survey of Optimization Methods From a Machine Learning Perspective. IEEE Trans. Cybern. 50 (8) (2020)
Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao
Attentive multi-view reinforcement learning. Int. J. Mach. Learn. Cybern. 11 (11) (2020)
Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). AAAI (2020)
Jing Zhao, Shiliang Sun, Huijuan Wang, Zehui Cao
Promoting active learning with mixtures of Gaussian processes. Knowl. Based Syst. 188 (2020)
Ziang Dong, Jing Zhao, Shiliang Sun
A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling. ICONIP (5) (2019)
Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao
A Survey of Optimization Methods from a Machine Learning Perspective. CoRR (2019)
Jing Zhao, Jingjing Fei, Shiliang Sun
A Variant of Gaussian Process Dynamical Systems. CoRR (2019)
Jiachun Wang, Jing Zhao, Shiliang Sun, Dongyu Shi
Intelligent Educational Data Analysis with Gaussian Processes. ICONIP (6) (2018)
Jingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu
Active Learning Methods with Deep Gaussian Processes. ICONIP (3) (2018)
Junyu Chen, Shiliang Sun, Jing Zhao
Multi-label Active Learning with Conditional Bernoulli Mixtures. PRICAI (1) (2018)
Jing Zhao, Xijiong Xie, Xin Xu, Shiliang Sun
Multi-view learning overview: Recent progress and new challenges. Inf. Fusion 38 (2017)
Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun
Educational and Non-educational Text Classification Based on Deep Gaussian Processes. ICONIP (1) (2017)
Chen Luo, Shiliang Sun, Jing Zhao
Variational hidden conditional random fields with beta processes. ICNC-FSKD (2017)
Min Yin, Jing Zhao, Shiliang Sun
Key Course Selection for Academic Early Warning Based on Gaussian Processes. IDEAL (2016)
Jing Zhao, Shiliang Sun
Variational Dependent Multi-output Gaussian Process Dynamical Systems. J. Mach. Learn. Res. 17 (2016)
Jing Zhao, Shiliang Sun
High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 17 (7) (2016)
Jing Zhao, Shiliang Sun
Revisiting Gaussian Process Dynamical Models. IJCAI (2015)
Shiliang Sun, Jing Zhao, Qingbin Gao
Modeling and recognizing human trajectories with beta process hidden Markov models. Pattern Recognit. 48 (8) (2015)
Shiliang Sun, Jing Zhao, Jiang Zhu
A review of Nyström methods for large-scale machine learning. Inf. Fusion 26 (2015)
Jing Zhao, Shiliang Sun
Variational Dependent Multi-output Gaussian Process Dynamical Systems. Discovery Science (2014)