Jing Zhao

65 papers A* 9B 5C 1Misc 2Journal 37Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Temporal and Spatial Representation Learning for Multimodal Low-Beam 3D Object Detection.
AAAI
Lin Wang, Shiliang Sun, Jing Zhao
2026 J jnl
Visual Context and Commonsense-Guided Causal Chain-of-Thoughts for Visual Commonsense Reasoning.
IEEE Trans. Multim.
Xinyu Li, Jing Zhao, Tongquan Wei, Shiliang Sun
2025 J jnl
De-Pessimism Offline Reinforcement Learning via Value Compensation.
IEEE Trans. Neural Networks Learn. Syst.
Zhenbo Huang, Jing Zhao, Shiliang Sun
2025 J jnl
Few-Shot Knowledge Graph Completion With Star and Ring Topology Information Aggregation.
IEEE Trans. Knowl. Data Eng.
Jing Zhao, Xinzhu Zhang, Yujia Li, Shiliang Sun
2025 — conf
Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation.
EMNLP (Findings)
Zhuang Yu, Shiliang Sun, Jing Zhao, Tengfei Song, Hao Yang
2025 — conf
MedCDA: Counterfactual Data Augmentation for Medical Image Analysis.
PRCV (14)
Kexin Yao, Jing Zhao
2025 J jnl
Multi-view representation for pathological image classification via contrastive learning.
Int. J. Mach. Learn. Cybern.
Kaitao Chen, Shiliang Sun, Jing Zhao, Feng Wang, Qingjiu Zhang
2025 J jnl
Multimodal Machine Translation with Visual Scene Graph Pruning.
CoRR
Chenyu Lu, Shiliang Sun, Jing Zhao, Nan Zhang, Tengfei Song, Hao Yang
2025 J jnl
Multiple instance learning with hierarchical discrimination and smoothing attention for histopathological diagnosis.
Appl. Intell.
Jing Zhao, Zhikang Zhao, Xueru Song, Shiliang Sun
2025 A* conf
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis.
IJCAI
Zhikang Zhao, Kaitao Chen, Jing Zhao
2025 J jnl
Taming vision transformers for clinical laryngoscopy assessment.
J. Biomed. Informatics
Xinzhu Zhang, Jing Zhao, Daoming Zong, Henglei Ren, Chunli Gao
2025 J jnl
VB-Adapter: Variational Bayesian Adapter for Cross-Domain Speech Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhao, Qimin Huang, Shanhu Wang, Shiliang Sun
2025 — conf
VQA-Augmented Machine Translation with Cross-Modal Contrastive Learning.
EMNLP (Findings)
Zhihui Zhang, Shiliang Sun, Jing Zhao, Tengfei Song, Hao Yang
2024 A* conf
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification.
AAAI
Kaitao Chen, Shiliang Sun, Jing Zhao
2024 J jnl
HWLane: HW-Transformer for Lane Detection.
IEEE Trans. Intell. Transp. Syst.
Jing Zhao, Zengyu Qiu, Huiqin Hu, Shiliang Sun
2024 J jnl
Reward-free offline reinforcement learning: Optimizing behavior policy via action exploration.
Knowl. Based Syst.
Zhenbo Huang, Shiliang Sun, Jing Zhao
2024 J jnl
VirPNet: A Multimodal Virtual Point Generation Network for 3D Object Detection.
IEEE Trans. Multim.
Lin Wang, Shiliang Sun, Jing Zhao
2023 J jnl
Concept Drift Adaptation for Time Series Anomaly Detection via Transformer.
Neural Process. Lett.
Chaoyue Ding, Jing Zhao, Shiliang Sun
2023 — conf
Effective Domain Adaptation for Robust Dysarthric Speech Recognition.
ICONIP (10)
Shanhu Wang, Jing Zhao, Shiliang Sun
2023 J jnl
Fair Transfer Learning with Factor Variational Auto-Encoder.
Neural Process. Lett.
Shaofan Liu, Shiliang Sun, Jing Zhao
2023 J jnl
Knowledge enhanced zero-resource machine translation using image-pivoting.
Appl. Intell.
Ping Huang, Jing Zhao, Shilinag Sun, Yichu Lin
2023 J jnl
Knowledge graph relation reasoning with variational reinforcement network.
Inf. Fusion
Wenbo Dong, Shiliang Sun, Jing Zhao, Nan Zhang
2023 J jnl
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection.
CoRR
Chaoyue Ding, Shiliang Sun, Jing Zhao
2023 J jnl
MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection.
Inf. Fusion
Chaoyue Ding, Shiliang Sun, Jing Zhao
2023 J jnl
Multi-modal policy fusion for end-to-end autonomous driving.
Inf. Fusion
Zhenbo Huang, Shiliang Sun, Jing Zhao, Liang Mao
2023 J jnl
Multi-view Collaborative Gaussian Process Dynamical Systems.
J. Mach. Learn. Res.
Shiliang Sun, Jingjing Fei, Jing Zhao, Liang Mao
2023 J jnl
Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling.
Entropy
Shiliang Sun, Jing Zhao, Minghao Gu, Shanhu Wang
2022 J jnl
Conditional Random Fields for Multiview Sequential Data Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Shiliang Sun, Ziang Dong, Jing Zhao
2022 B conf
Diverse Machine Translation with Translation Memory.
IJCNN
Yi Zhang, Jing Zhao, Shiliang Sun
2022 A* conf
Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation.
IJCAI
Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi
2022 J jnl
MFIALane: Multiscale Feature Information Aggregator Network for Lane Detection.
IEEE Trans. Intell. Transp. Syst.
Zengyu Qiu, Jing Zhao, Shiliang Sun
2022 B conf
Multi-Modal Adversarial Example Detection with Transformer.
IJCNN
Chaoyue Ding, Shiliang Sun, Jing Zhao
2022 J jnl
Multi-view multi-label active learning with conditional Bernoulli mixtures.
Int. J. Mach. Learn. Cybern.
Jing Zhao, Zengyu Qiu, Shiliang Sun
2022 B conf
Robust Cross-Modal Retrieval by Adversarial Training.
IJCNN
Tao Zhang, Shiliang Sun, Jing Zhao
2022 A* conf
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning.
IJCAI
Yujia Li, Shiliang Sun, Jing Zhao
2021 Misc conf
A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition.
ICASSP
Lidan Wu, Daoming Zong, Shiliang Sun, Jing Zhao
2021 A* conf
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion.
AAAI
Daoming Zong, Shiliang Sun, Jing Zhao
2021 Misc conf
Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition.
ICASSP
Chaoyue Ding, Shiliang Sun, Jing Zhao
2021 B conf
Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss.
IJCNN
Shiqi Guo, Jing Zhao, Shiliang Sun
2021 J jnl
Stick-Breaking Dependent Beta Processes with Variational Inference.
Neural Process. Lett.
Zehui Cao, Jing Zhao, Shiliang Sun
2021 J jnl
Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition.
Entropy
Jing Zhao, Yi Zhang, Shiliang Sun, Haiwei Dai
2021 J jnl
Variational multimodal machine translation with underlying semantic alignment.
Inf. Fusion
Xiao Liu, Jing Zhao, Shiliang Sun, Huawen Liu, Hao Yang
2020 J jnl
A Survey of Optimization Methods From a Machine Learning Perspective.
IEEE Trans. Cybern.
Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao
2020 J jnl
Attentive multi-view reinforcement learning.
Int. J. Mach. Learn. Cybern.
Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao
2020 A* conf
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract).
AAAI
Xiao Liu, Jing Zhao, Shiliang Sun
2020 A* conf
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract).
AAAI
Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao
2020 — conf
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique.
PAKDD (2)
Han Zhu, Jing Zhao, Shiliang Sun
2020 J jnl
Probabilistic inference of Bayesian neural networks with generalized expectation propagation.
Neurocomputing
Jing Zhao, Xiao Liu, Shaojie He, Shiliang Sun
2020 J jnl
Promoting active learning with mixtures of Gaussian processes.
Knowl. Based Syst.
Jing Zhao, Shiliang Sun, Huijuan Wang, Zehui Cao
2019 — conf
A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling.
ICONIP (5)
Ziang Dong, Jing Zhao, Shiliang Sun
2019 J jnl
A Survey of Optimization Methods from a Machine Learning Perspective.
CoRR
Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao
2019 J jnl
A Variant of Gaussian Process Dynamical Systems.
CoRR
Jing Zhao, Jingjing Fei, Shiliang Sun
2018 — conf
Active Learning Methods with Deep Gaussian Processes.
ICONIP (3)
Jingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu
2018 — conf
Intelligent Educational Data Analysis with Gaussian Processes.
ICONIP (6)
Jiachun Wang, Jing Zhao, Shiliang Sun, Dongyu Shi
2018 — conf
Multi-label Active Learning with Conditional Bernoulli Mixtures.
PRICAI (1)
Junyu Chen, Shiliang Sun, Jing Zhao
2017 — conf
Educational and Non-educational Text Classification Based on Deep Gaussian Processes.
ICONIP (1)
Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun
2017 J jnl
Multi-view learning overview: Recent progress and new challenges.
Inf. Fusion
Jing Zhao, Xijiong Xie, Xin Xu, Shiliang Sun
2017 — conf
Variational hidden conditional random fields with beta processes.
ICNC-FSKD
Chen Luo, Shiliang Sun, Jing Zhao
2016 J jnl
High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Jing Zhao, Shiliang Sun
2016 C conf
Key Course Selection for Academic Early Warning Based on Gaussian Processes.
IDEAL
Min Yin, Jing Zhao, Shiliang Sun
2016 J jnl
Variational Dependent Multi-output Gaussian Process Dynamical Systems.
J. Mach. Learn. Res.
Jing Zhao, Shiliang Sun
2015 J jnl
A review of Nyström methods for large-scale machine learning.
Inf. Fusion
Shiliang Sun, Jing Zhao, Jiang Zhu
2015 J jnl
Modeling and recognizing human trajectories with beta process hidden Markov models.
Pattern Recognit.
Shiliang Sun, Jing Zhao, Qingbin Gao
2015 A* conf
Revisiting Gaussian Process Dynamical Models.
IJCAI
Jing Zhao, Shiliang Sun
2014 B conf
Variational Dependent Multi-output Gaussian Process Dynamical Systems.
Discovery Science
Jing Zhao, Shiliang Sun