Shiliang Sun

291 papers A* 22A 1B 25C 7Misc 12Journal 160Unranked 63
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clustering result re-guided incomplete multi-view spectral clustering.
Inf. Fusion
Jun Yin, Runcheng Cai, Shiliang Sun
2026 J jnl
Global-Local Dual Perception for MLLMs in High-Resolution Text-Rich Image Translation.
CoRR
Junxin Lu, Tengfei Song, Zhanglin Wu, Pengfei Li, Xiaowei Liang, Hui Yang, Kun Chen, Ning Xie, Yunfei Lu, Jing Zhao, Shiliang Sun, Daimeng Wei
2026 J jnl
LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?
CoRR
Zhuang Yu, Lei Shen, Jing Zhao, Shiliang Sun
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
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting.
CoRR
Junxin Lu, Shiliang Sun
2025 J jnl
Clustering Result Re-guided Incomplete Multi-view Spectral Clustering.
CoRR
Jun Yin, Runcheng Cai, 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
Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models.
CoRR
Zhanglin Wu, Tengfei Song, Ning Xie, Mengli Zhu, Weidong Zhang, Shuang Wu, Pengfei Li, Chong Li, Junhao Zhu, Hao Yang, 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 J jnl
Hallucinations of large multimodal models: Problem and countermeasures.
Inf. Fusion
Shiliang Sun, Zhilin Lin, Xuhan Wu
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 J jnl
Incomplete Multi-View Clustering via Multi-Level Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Jun Yin, Pei Wang, Shiliang Sun, Zhonglong Zheng
2025 J jnl
Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation.
CoRR
Zhuang Yu, Shiliang Sun, Jing Zhao, Tengfei Song, Hao Yang
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 — conf
Multimodal Machine Translation with Text-Image In-depth Questioning.
ACL (Findings)
Yue Gao, Jing Zhao, Shiliang Sun, Xiaosong Qiao, Tengfei Song, Hao Yang
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 J jnl
Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling.
CoRR
Zhilin Lin, Shiliang Sun
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 J jnl
A Lightweight Multi-Grained Image-Text Retrieval Paradigm via Cascaded Representation Learning and Parameter-Free Feature Aggregation.
IEEE Trans. Circuits Syst. Video Technol.
Chenyu Lu, Nan Zhang, Shiliang Sun
2024 A* conf
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification.
AAAI
Kaitao Chen, Shiliang Sun, Jing Zhao
2024 A* conf
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series.
ICML
Junxin Lu, Shiliang Sun
2024 J jnl
Deconfounded multi-organ weakly-supervised semantic segmentation via causal intervention.
Inf. Fusion
Kaitao Chen, Shiliang Sun, Youtian Du
2024 A* conf
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving.
AAAI
Jun Yin, Shiliang Sun, Lai Wei, Pei Wang
2024 J jnl
Efficient Multiview Representation Learning With Correntropy and Anchor Graph.
IEEE Trans. Knowl. Data Eng.
Nan Zhang, Xiaoqin Zhang, Shiliang Sun
2024 J jnl
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction.
Inf. Fusion
Chenyu Lu, Jun Yin, Hao Yang, Shiliang Sun
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
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst.
Shiliang Sun, Nan Zhang
2024 J jnl
PAMK: Prototype Augmented Multi-Teacher Knowledge Transfer Network for Continual Zero-Shot Learning.
IEEE Trans. Image Process.
Junxin Lu, Shiliang Sun
2024 J jnl
Partial Multiview Representation Learning With Cross-View Generation.
IEEE Trans. Neural Networks Learn. Syst.
Wenbo Dong, 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
2024 J jnl
Zero-Shot Human-Object Interaction Detection via Similarity Propagation.
IEEE Trans. Neural Networks Learn. Syst.
Daoming Zong, Shiliang Sun
2023 J jnl
A multi-view deep learning model for pathology image diagnosis.
Appl. Intell.
Wenbo Dong, Shiliang Sun, Minzhi Yin
2023 J jnl
BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng.
Daoming Zong, Shiliang Sun
2023 A* conf
CP-Rec: Contextual Prompting for Conversational Recommender Systems.
AAAI
Keyu Chen, Shiliang Sun
2023 J jnl
Concept Drift Adaptation for Time Series Anomaly Detection via Transformer.
Neural Process. Lett.
Chaoyue Ding, Jing Zhao, Shiliang Sun
2023 J jnl
Deep multi-view multiclass twin support vector machines.
Inf. Fusion
Xijiong Xie, Yanfeng Li, Shiliang Sun
2023 J jnl
Editorial: Special Issue on Transfer Learning.
Neural Process. Lett.
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2023 — conf
Effective Domain Adaptation for Robust Dysarthric Speech Recognition.
ICONIP (10)
Shanhu Wang, Jing Zhao, Shiliang Sun
2023 J jnl
Effective sample pairs based contrastive learning for clustering.
Inf. Fusion
Jun Yin, Haowei Wu, 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
Incomplete Multi-View Clustering With Reconstructed Views.
IEEE Trans. Knowl. Data Eng.
Jun Yin, Shiliang Sun
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 A* conf
McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning.
AAAI
Daoming Zong, Shiliang Sun
2023 J jnl
Multi-View Deep Gaussian Processes for Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenbo Dong, Shiliang Sun
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
Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Zhang, Shiliang Sun
2023 J jnl
Safe batch constrained deep reinforcement learning with generative adversarial network.
Inf. Sci.
Wenbo Dong, Shaofan Liu, Shiliang Sun
2023 A* conf
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation.
AAAI
Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao
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
Adversarially Training MCMC with Non-Volume-Preserving Flows.
Entropy
Shaofan Liu, Shiliang Sun
2022 J jnl
Anchor-based incomplete multi-view spectral clustering.
Neurocomputing
Jun Yin, Runcheng Cai, Shiliang Sun
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 J jnl
Editorial: special issue on multi-view learning.
Appl. Intell.
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, 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
FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks.
Comput. Secur.
Mengran Yu, Shiliang Sun
2022 J jnl
Incomplete multi-view clustering with cosine similarity.
Pattern Recognit.
Jun Yin, Shiliang Sun
2022 J jnl
Incomplete multiview nonnegative representation learning with multiple graphs.
Pattern Recognit.
Nan Zhang, Shiliang Sun
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 J jnl
Multiview Graph Restricted Boltzmann Machines.
IEEE Trans. Cybern.
Nan Zhang, Shiliang Sun
2022 A* conf
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning.
AAAI
Mengran Yu, Shiliang Sun
2022 B conf
Robust Cross-Modal Retrieval by Adversarial Training.
IJCNN
Tao Zhang, Shiliang Sun, Jing Zhao
2022 — conf
Safe Offline Reinforcement Learning Through Hierarchical Policies.
PAKDD (2)
Shaofan Liu, Shiliang Sun
2022 J jnl
Stability-based PAC-Bayes analysis for multi-view learning algorithms.
Inf. Fusion
Shiliang Sun, Mengran Yu, John Shawe-Taylor, Liang Mao
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 J jnl
A Survey on Multiview Clustering.
IEEE Trans. Artif. Intell.
Guoqing Chao, Shiliang Sun, Jinbo Bi
2021 A* conf
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion.
AAAI
Daoming Zong, Shiliang Sun, Jing Zhao
2021 J jnl
Adversarial robustness and attacks for multi-view deep models.
Eng. Appl. Artif. Intell.
Xuli Sun, Shiliang Sun
2021 J jnl
Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples.
Neurocomputing
Xiao Liu, Shiliang Sun
2021 J jnl
DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors.
IEEE Trans. Medical Imaging
Yuhan Liu, Minzhi Yin, Shiliang Sun
2021 Misc conf
Image-Assisted Transformer in Zero-Resource Multi-Modal Translation.
ICASSP
Ping Huang, Shiliang Sun, Hao Yang
2021 — conf
Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning.
IJCKG
Keyu Chen, Shiliang Sun
2021 J jnl
LCBM: A Multi-View Probabilistic Model for Multi-Label Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Shiliang Sun, Daoming Zong
2021 J jnl
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst.
Jiahang Liu, Zhenhua Huang, Xin Xu, Xinglong Zhang, Shiliang Sun, Dazi Li
2021 Misc conf
Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition.
ICASSP
Chaoyue Ding, Shiliang Sun, Jing Zhao
2021 J jnl
Multi-View Representation Learning With Deep Gaussian Processes.
IEEE Trans. Pattern Anal. Mach. Intell.
Shiliang Sun, Wenbo Dong, Qiuyang Liu
2021 B conf
Multi-view Defense with Adversarial Autoencoders.
IJCNN
Xuli Sun, Shiliang Sun
2021 J jnl
Multi-view Gaussian processes with posterior consistency.
Inf. Sci.
Shiliang Sun, Xuli Sun, Qiuyang Liu
2021 J jnl
Multiview Variational Sparse Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst.
Liang Mao, Shiliang Sun
2021 J jnl
RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer.
Knowl. Based Syst.
Yueyue Hu, Shiliang Sun
2021 B conf
Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss.
IJCNN
Shiqi Guo, Jing Zhao, Shiliang Sun
2021 A* conf
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis.
ICML
Yuhan Liu, 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
Adversarial Attacks for Multi-view Deep Models.
CoRR
Xuli Sun, Shiliang Sun
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 J jnl
Decomposed slice sampling for factorized distributions.
Pattern Recognit.
Jiachun Wang, Shiliang Sun
2020 J jnl
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification.
CoRR
Daoming Zong, Shiliang Sun
2020 J jnl
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization.
Inf. Fusion
Xijiong Xie, Shiliang Sun
2020 — conf
HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared Task.
WMT@EMNLP
Hao Yang, Minghan Wang, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen
2020 — conf
HW-TSC's Participation at WMT 2020 Quality Estimation Shared Task.
WMT@EMNLP
Minghan Wang, Hao Yang, Hengchao Shang, Daimeng Wei, Jiaxin Guo, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen, Liangyou Li
2020 — conf
HW-TSC's Participation in the WMT 2020 News Translation Shared Task.
WMT@EMNLP
Daimeng Wei, Hengchao Shang, Zhanglin Wu, Zhengzhe Yu, Liangyou Li, Jiaxin Guo, Minghan Wang, Hao Yang, Lizhi Lei, Ying Qin, Shiliang Sun
2020 J jnl
Hybrid neural conditional random fields for multi-view sequence labeling.
Knowl. Based Syst.
Xuli Sun, Shiliang Sun, Minzhi Yin, Hao Yang
2020 J jnl
Manifold Partition Discriminant Analysis.
CoRR
Yang Zhou, 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 J jnl
Multi-View Support Vector Machines with the Consensus and Complementarity Information.
IEEE Trans. Knowl. Data Eng.
Xijiong Xie, Shiliang Sun
2020 — conf
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique.
PAKDD (2)
Han Zhu, Jing Zhao, Shiliang Sun
2020 J jnl
Multiview Uncorrelated Locality Preserving Projection.
IEEE Trans. Neural Networks Learn. Syst.
Jun Yin, Shiliang Sun
2020 J jnl
Multiview learning with variational mixtures of Gaussian processes.
Knowl. Based Syst.
Shiliang Sun, Jiachun Wang
2020 J jnl
Neural Langevin Dynamical Sampling.
IEEE Access
Minghao Gu, Shiliang Sun
2020 J jnl
Online anomaly detection with sparse Gaussian processes.
Neurocomputing
Minghao Gu, Jingjing Fei, Shiliang Sun
2020 J jnl
Policy-based reinforcement learning for time series anomaly detection.
Eng. Appl. Artif. Intell.
Mengran Yu, 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
2020 A* conf
Semismooth Newton Algorithm for Efficient Projections onto ℓ
ICML
Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao
2020 — conf
System Report of HW-TSC on the CAPITEL NER Evaluation.
IberLEF@SEPLN
Lizhi Lei, Minghan Wang, Hao Yang, Shiliang Sun, Ying Qin, Daimeng Wei
2020 C conf
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning.
EAMT
Minghan Wang, Hao Yang, Ying Qin, Shiliang Sun, Yao Deng
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
2019 J jnl
Adversarial Attack with Pattern Replacement.
CoRR
Ziang Dong, Liang Mao, Shiliang Sun
2019 J jnl
An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Daqing Chang, Shiliang Sun, Changshui Zhang
2019 J jnl
Dynamical Sampling with Langevin Normalization Flows.
Entropy
Minghao Gu, Shiliang Sun, Yan Liu
2019 J jnl
General multi-view learning with maximum entropy discrimination.
Neurocomputing
Xijiong Xie, Shiliang Sun
2019 J jnl
Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression.
Neurocomputing
Shiliang Sun, Shaojie He
2019 J jnl
Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaohong Deng, Jie Lu, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima
2019 — conf
Joint Type Inference on Entities and Relations via Graph Convolutional Networks.
ACL (1)
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan
2019 J jnl
Multi-view Opinion Mining with Deep Learning.
Neural Process. Lett.
Ping Huang, Xijiong Xie, Shiliang Sun
2019 J jnl
Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features.
Inf. Fusion
Shiliang Sun, Yuhan Liu, Liang Mao
2019 J jnl
Multiview Learning With Generalized Eigenvalue Proximal Support Vector Machines.
IEEE Trans. Cybern.
Shiliang Sun, Xijiong Xie, Chao Dong
2019 — book
Multiview Machine Learning
Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
2019 J jnl
Online Anomaly Detection with Sparse Gaussian Processes.
CoRR
Jingjing Fei, Shiliang Sun
2019 J jnl
Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization.
Inf. Fusion
Guoqing Chao, Shiliang Sun
2019 J jnl
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling.
CoRR
Minghao Gu, Shiliang Sun
2018 — conf
Active Learning Methods with Deep Gaussian Processes.
ICONIP (3)
Jingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu
2018 J jnl
Domain Adaptation with Twin Support Vector Machines.
Neural Process. Lett.
Xijiong Xie, Shiliang Sun, Huahui Chen, Jiangbo Qian
2018 A* conf
Extracting Entities and Relations with Joint Minimum Risk Training.
EMNLP
Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu
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
2018 — conf
Multi-view Deep Gaussian Processes.
ICONIP (1)
Shiliang Sun, Qiuyang Liu
2018 — conf
Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis.
PRICAI (1)
Yuhan Liu, Minzhi Yin, Shiliang Sun
2018 J jnl
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks.
CoRR
Shiliang Sun, Rongqing Huang, Ya Gao
2018 A* conf
PAC-Bayes bounds for stable algorithms with instance-dependent priors.
NeurIPS
Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun
2018 J jnl
PAC-Bayes bounds for stable algorithms with instance-dependent priors.
CoRR
Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor, Shiliang Sun, Csaba Szepesvári
2017 — conf
A Learning Error Analysis for Structured Prediction with Approximate Inference.
NIPS
Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang
2017 J jnl
A Survey on Multi-View Clustering.
CoRR
Guoqing Chao, Shiliang Sun, Jinbo Bi
2017 J jnl
A review of natural language processing techniques for opinion mining systems.
Inf. Fusion
Shiliang Sun, Chen Luo, Junyu Chen
2017 J jnl
Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
IEEE Trans. Neural Networks Learn. Syst.
Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang
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
Kernel Regression with Sparse Metric Learning.
CoRR
Rongqing Huang, Shiliang Sun
2017 — conf
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network.
EACL (1)
Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang
2017 — conf
Location Dependent Dirichlet Processes.
IScIDE
Shiliang Sun, John W. Paisley, Qiuyang Liu
2017 J jnl
Location Dependent Dirichlet Processes.
CoRR
Shiliang Sun, John W. Paisley, Qiuyang Liu
2017 J jnl
Manifold Partition Discriminant Analysis.
IEEE Trans. Cybern.
Yang Zhou, Shiliang Sun
2017 — conf
Multi-view Regularized Gaussian Processes.
PAKDD (2)
Qiuyang Liu, 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 J jnl
Neural Network Multitask Learning for Traffic Flow Forecasting.
CoRR
Feng Jin, Shiliang Sun
2017 J jnl
Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction.
IEEE Trans. Multim.
Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li
2017 J jnl
PAC-Bayes analysis of multi-view learning.
Inf. Fusion
Shiliang Sun, John Shawe-Taylor, Liang Mao
2017 J jnl
PAC-Bayes bounds for twin support vector machines.
Neurocomputing
Xijiong Xie, Shiliang Sun
2017 — conf
Sparse Multimodal Gaussian Processes.
IScIDE
Qiuyang Liu, Shiliang Sun
2017 J jnl
Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network Predictor.
CoRR
Shiliang Sun, Changshui Zhang, Yi Zhang
2017 A* conf
Variational Mixtures of Gaussian Processes for Classification.
IJCAI
Chen Luo, Shiliang Sun
2017 — conf
Variational hidden conditional random fields with beta processes.
ICNC-FSKD
Chen Luo, Shiliang Sun, Jing Zhao
2017 J jnl
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification.
CoRR
Qingjiu Zhang, Shiliang Sun
2016 J jnl
Alternative Multiview Maximum Entropy Discrimination.
IEEE Trans. Neural Networks Learn. Syst.
Guoqing Chao, Shiliang Sun
2016 J jnl
Consensus and complementarity based maximum entropy discrimination for multi-view classification.
Inf. Sci.
Guoqing Chao, Shiliang Sun
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 — conf
Key Course Selection in Academic Warning with Sparse Regression.
CCPR (1)
Min Yin, Xijiong Xie, Shiliang Sun
2016 J jnl
Local Tangent Space Discriminant Analysis.
Neural Process. Lett.
Yang Zhou, Shiliang Sun
2016 J jnl
Multi-kernel maximum entropy discrimination for multi-view learning.
Intell. Data Anal.
Guoqing Chao, Shiliang Sun
2016 J jnl
Multiview Uncorrelated Discriminant Analysis.
IEEE Trans. Cybern.
Shiliang Sun, Xijiong Xie, Mo Yang
2016 J jnl
Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Shiliang Sun, Xijiong Xie
2016 A* conf
Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination.
IJCAI
Liang Mao, 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
A survey of multi-source domain adaptation.
Inf. Fusion
Shiliang Sun, Honglei Shi, Yuanbin Wu
2015 A* conf
An Online Learning Algorithm for Bilinear Models.
ICML
Yuanbin Wu, Shiliang Sun
2015 J jnl
Gaussian process versus margin sampling active learning.
Neurocomputing
Jin Zhou, Shiliang Sun
2015 — conf
Kernel Local Fisher Discriminant Analysis-Based Prediction on Protein O-Glycosylation Sites Using SVM.
ICIC (3)
Xuemei Yang, Shiliang Sun
2015 J jnl
Modeling and recognizing human trajectories with beta process hidden Markov models.
Pattern Recognit.
Shiliang Sun, Jing Zhao, Qingbin Gao
2015 J jnl
Multi-view twin support vector machines.
Intell. Data Anal.
Xijiong Xie, Shiliang Sun
2015 J jnl
Multitask centroid twin support vector machines.
Neurocomputing
Xijiong Xie, Shiliang Sun
2015 B conf
PAC-Bayes Analysis for Twin Support Vector Machines.
IJCNN
Xijiong Xie, Shiliang Sun
2015 A* conf
Revisiting Gaussian Process Dynamical Models.
IJCAI
Jing Zhao, Shiliang Sun
2015 B conf
Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces.
IJCNN
Honglei Shi, Shiliang Sun
2015 A conf
Text detection in nature scene images using two-stage nontext filtering.
ICDAR
Qingqing Wang, Yue Lu, Shiliang Sun
2015 B conf
Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces.
IJCNN
Honglei Shi, Jinhua Xu, Shiliang Sun
2014 B conf
A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces.
IJCNN
Shiliang Sun, Jin Zhou
2014 J jnl
Active learning of Gaussian processes with manifold-preserving graph reduction.
Neural Comput. Appl.
Jin Zhou, Shiliang Sun
2014 — conf
Improved Margin Sampling for Active Learning.
CCPR (1)
Jin Zhou, Shiliang Sun
2014 J jnl
Manifold-preserving graph reduction for sparse semi-supervised learning.
Neurocomputing
Shiliang Sun, Zakria Hussain, John Shawe-Taylor
2014 — conf
Multi-task Sparse Gaussian Processes with Improved Multi-task Sparsity Regularization.
CCPR (1)
Jiang Zhu, Shiliang Sun
2014 J jnl
Multi-view Laplacian twin support vector machines.
Appl. Intell.
Xijiong Xie, Shiliang Sun
2014 B conf
Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition.
IJCNN
Mo Yang, Shiliang Sun
2014 J jnl
PAC-Bayes Analysis of Multi-view Learning.
CoRR
Shiliang Sun, John Shawe-Taylor
2014 J jnl
Sparse Gaussian processes with manifold-preserving graph reduction.
Neurocomputing
Jiang Zhu, Shiliang Sun
2014 B conf
Supervised Bayesian sparse coding for classification.
IJCNN
Jinhua Xu, Li Ding, Shiliang Sun
2014 B conf
Variational Dependent Multi-output Gaussian Process Dynamical Systems.
Discovery Science
Jing Zhao, Shiliang Sun
2013 J jnl
A review of deterministic approximate inference techniques for Bayesian machine learning.
Neural Comput. Appl.
Shiliang Sun
2013 J jnl
A survey of multi-view machine learning.
Neural Comput. Appl.
Shiliang Sun
2013 J jnl
Infinite Mixtures of Multivariate Gaussian Processes.
CoRR
Shiliang Sun
2013 Misc conf
Infinite mixtures of multivariate Gaussian processes.
ICMLC
Shiliang Sun
2013 J jnl
Kernel regression with sparse metric learning.
J. Intell. Fuzzy Syst.
Rongqing Huang, Shiliang Sun
2013 A* conf
Multi-View Maximum Entropy Discrimination.
IJCAI
Shiliang Sun, Guoqing Chao
2013 J jnl
Multi-view Laplacian Support Vector Machines.
CoRR
Shiliang Sun
2013 Misc conf
Multi-view clustering ensembles.
ICMLC
Xijiong Xie, Shiliang Sun
2013 J jnl
Multitask multiclass support vector machines: Model and experiments.
Pattern Recognit.
You Ji, Shiliang Sun
2013 J jnl
Semi-supervised feature extraction for EEG classification.
Pattern Anal. Appl.
Wenting Tu, Shiliang Sun
2013 Misc conf
Single-task and multitask sparse Gaussian processes.
ICMLC
Jiang Zhu, Shiliang Sun
2013 — conf
Tangent space intrinsic manifold regularization for data representation.
ChinaSIP
Shiliang Sun
2013 — conf
Trajectory-based human activity recognition with hierarchical dirichlet process hidden Markov models.
ChinaSIP
Qingbin Gao, Shiliang Sun
2013 — conf
Transfer Learning with Part-Based Ensembles.
MCS
Shiliang Sun, Zhijie Xu, Mo Yang
2012 J jnl
A subject transfer framework for EEG classification.
Neurocomputing
Wenting Tu, Shiliang Sun
2012 Misc conf
Applying a multitask feature sparsity method for the classification of semantic relations between nominals.
ICMLC
Guoqing Chao, Shiliang Sun
2012 B conf
Dynamical ensemble learning with model-friendly classifiers for domain adaptation.
ICPR
Wenting Tu, Shiliang Sun
2012 — conf
Multi-source Transfer Learning with Multi-view Adaboost.
ICONIP (3)
Zhijie Xu, Shiliang Sun
2012 — conf
Multitask Twin Support Vector Machines.
ICONIP (2)
Xijiong Xie, Shiliang Sun
2012 B conf
Multitask multiclass privileged information support vector machines.
ICPR
You Ji, Shiliang Sun, Yue Lu
2012 J jnl
PAC-bayes bounds with data dependent priors.
J. Mach. Learn. Res.
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun
2012 — conf
Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination.
ICONIP (3)
Guoqing Chao, Shiliang Sun
2012 Misc conf
Sequential training of semi-supervised classification based on sparse Gaussian process regression.
ICMLC
Rongqing Huang, Shiliang Sun
2011 J jnl
A review of optimization methodologies in support vector machines.
Neurocomputing
John Shawe-Taylor, Shiliang Sun
2011 J jnl
Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification.
Int. J. Pattern Recognit. Artif. Intell.
Shiliang Sun, Qiaona Chen
2011 — conf
Multi-view Laplacian Support Vector Machines.
ADMA (2)
Shiliang Sun
2011 B conf
Multi-view Transfer Learning with Adaboost.
ICTAI
Zhijie Xu, Shiliang Sun
2011 J jnl
Multiple-View Multiple-Learner Semi-Supervised Learning.
Neural Process. Lett.
Shiliang Sun, Qingjiu Zhang
2011 — conf
Multitask Multiclass Support Vector Machines.
ICDM Workshops
You Ji, Shiliang Sun
2011 — conf
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso.
ISNN (2)
Ya Gao, Shiliang Sun, Dongyu Shi
2011 — conf
Off-line Signature Verification Based on Multitask Learning.
ISNN (3)
You Ji, Shiliang Sun, Jian Jin
2011 — conf
Part-Based Transfer Learning.
ISNN (3)
Zhijie Xu, Shiliang Sun
2011 J jnl
Robust Co-Training.
Int. J. Pattern Recognit. Artif. Intell.
Shiliang Sun, Feng Jin
2011 B conf
Semi-supervised feature extraction with local temporal regularization for EEG classification.
IJCNN
Wenting Tu, Shiliang Sun
2011 — conf
Sparse Kernel Regression for Traffic Flow Forecasting.
ISNN (2)
Rongqing Huang, Shiliang Sun, Yan Liu
2011 J jnl
The stochastic approximation method for adaptive Bayesian classifiers: towards online brain-computer interfaces.
Neural Comput. Appl.
Shiliang Sun, Yue Lu, Youguang Chen
2011 B conf
Transferable Discriminative Dimensionality Reduction.
ICTAI
Wenting Tu, Shiliang Sun
2011 J jnl
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Shiliang Sun, Xin Xu
2011 — conf
View Construction for Multi-view Semi-supervised Learning.
ISNN (1)
Shiliang Sun, Feng Jin, Wenting Tu
2010 — conf
A Centroid
ADMA (1)
Qingjiu Zhang, Shiliang Sun
2010 B conf
A Visual Attention Based Approach to Text Extraction.
ICPR
Qiaoyu Sun, Yue Lu, Shiliang Sun
2010 J jnl
Active learning with extremely sparse labeled examples.
Neurocomputing
Shiliang Sun, David R. Hardoon
2010 — conf
An Algorithm on Multi-View Adaboost.
ICONIP (1)
Zhijie Xu, Shiliang Sun
2010 — conf
An adaptive k-nearest neighbor algorithm.
FSKD
Shiliang Sun, Rongqing Huang
2010 — conf
An empirical evaluation of linear and nonlinear kernels for text classification using Support Vector Machines.
FSKD
Ya Gao, Shiliang Sun
2010 B conf
Evolutionary classifier ensembles for semi-supervised learning.
IJCNN
Qingjiu Zhang, Shiliang Sun
2010 J jnl
Extreme energy difference for feature extraction of EEG signals.
Expert Syst. Appl.
Shiliang Sun
2010 Misc conf
Feature selection for ensembles using Non-dominated Sorting in Genetic Algorithms.
ICNC
You Ji, Shiliang Sun
2010 B conf
Hierarchical Large Margin Nearest Neighbor Classification.
ICPR
Qiaona Chen, Shiliang Sun
2010 — conf
Importance Weighted Extreme Energy Ratio for EEG Classification.
ICONIP (2)
Wenting Tu, Shiliang Sun
2010 J jnl
Local within-class accuracies for weighting individual outputs in multiple classifier systems.
Pattern Recognit. Lett.
Shiliang Sun
2010 Misc conf
Multi-link traffic flow forecasting using neural networks.
ICNC
Ya Gao, Shiliang Sun
2010 J jnl
Multiple-view multiple-learner active learning.
Pattern Recognit.
Qingjiu Zhang, Shiliang Sun
2010 B conf
Nonlinear Combination of Multiple Kernels for Support Vector Machines.
ICPR
Jinbo Li, Shiliang Sun
2010 J jnl
Sparse Semi-supervised Learning Using Conjugate Functions.
J. Mach. Learn. Res.
Shiliang Sun, John Shawe-Taylor
2010 — conf
Spatial Filter Selection with LASSO for EEG Classification.
ADMA (2)
Wenting Tu, Shiliang Sun
2009 C conf
A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals.
ADMA
Shiliang Sun, Jinbo Li
2009 — conf
Ensembles of Feature Subspaces for Object Detection.
ISNN (2)
Shiliang Sun
2009 — conf
Hierarchical Multi-view Fisher Discriminant Analysis.
ICONIP (2)
Qiaona Chen, Shiliang Sun
2009 — conf
Traffic flow forecasting based on multitask ensemble learning.
GEC Summit
Shiliang Sun
2009 — conf
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification.
ICONIP (1)
Qingjiu Zhang, Shiliang Sun
2009 — conf
Weighting Individual Classifiers by Local Within-Class Accuracies.
ISNN (2)
Shiliang Sun
2008 C conf
A Multitask Learning Approach to Face Recognition Based on Neural Networks.
IDEAL
Feng Jin, Shiliang Sun
2008 C conf
A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction.
IDEAL
Shiliang Sun
2008 Misc conf
Adaptive EEG signal classification using stochastic approximation methods.
ICASSP
Shiliang Sun, Man Lan, Yue Lu
2008 Misc conf
Classifying EEG signals in Fisher discriminant spaces by random electrode selection.
ICASSP
Shiliang Sun
2008 B conf
Energy feature extraction of EEG signals and a case study.
IJCNN
Jinbo Li, Shiliang Sun
2008 C conf
High Reliable Multi-View Semi-Supervised Learning with Extremely Sparse Labeled Data.
HIS
Shiliang Sun
2008 C conf
Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting.
IDEAL
Shiliang Sun, Qiaona Chen
2008 B conf
Multitask learning for EEG-based biometrics.
ICPR
Shiliang Sun
2008 B conf
Neural network multitask learning for traffic flow forecasting.
IJCNN
Feng Jin, Shiliang Sun
2008 — conf
Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification.
ICDM Workshops
Shiliang Sun
2008 — conf
The Extreme Energy Ratio Criterion for EEG Feature Extraction.
ICANN (2)
Shiliang Sun
2008 J jnl
The random electrode selection ensemble for EEG signal classification.
Pattern Recognit.
Shiliang Sun, Changshui Zhang, Yue Lu
2007 — conf
An Improved Random Subspace Method and Its Application to EEG Signal Classification.
MCS
Shiliang Sun
2007 J jnl
An experimental evaluation of ensemble methods for EEG signal classification.
Pattern Recognit. Lett.
Shiliang Sun, Changshui Zhang, Dan Zhang
2007 — conf
Ensemble Learning Methods for Classifying EEG Signals.
MCS
Shiliang Sun
2007 J jnl
The Selective Random Subspace Predictor for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst.
Shiliang Sun, Changshui Zhang
2006 J jnl
A bayesian network approach to traffic flow forecasting.
IEEE Trans. Intell. Transp. Syst.
Shiliang Sun, Changshui Zhang, Guoqiang Yu
2006 J jnl
Adaptive feature extraction for EEG signal classification.
Medical Biol. Eng. Comput.
Shiliang Sun, Changshui Zhang
2006 J jnl
An optimal kernel feature extractor and its application to EEG signal classification.
Neurocomputing
Shiliang Sun, Changshui Zhang
2005 — conf
Assessing features for electroencephalographic signal categorization.
ICASSP (5)
Shiliang Sun, Changshui Zhang
2005 B conf
Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.
Discovery Science
Shiliang Sun, Changshui Zhang
2005 — conf
On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces.
FSKD (2)
Shiliang Sun, Changshui Zhang, Naijiang Lu
2005 — conf
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.
ICANN (2)
Shiliang Sun, Changshui Zhang, Yi Zhang
2005 — conf
Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting.
ICNC (2)
Shiliang Sun, Changshui Zhang
2004 — conf
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.
ECML
Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao
2004 — conf
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data.
ISNN (2)
Changshui Zhang, Shiliang Sun, Guoqiang Yu