Yuan Jiang

Yuan Jiang, Jian Wang, Yue Ping Peng, 2016, 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).

Instance Specific Metric Subspace Learning: A Bayesian Approach

Yuan Jiang, De-Chuan Zhan, Han-Jia Ye, 2016, AAAI.

Generation of Comprehensible Hypotheses from Gene Expression Data

Zhi-Hua Zhou, Yuan Jiang, Ming Li, 2006, BioDM.

Team Knowledge Acquisition and Team Knowledge Sharing Scales

Yuan Jiang, Chih-Hsun Chuang, Susan E. Jackson, 2017 .

Budget Semi-supervised Learning

Michael K. Ng, Zhi-Hua Zhou, Yuan Jiang, 2009, PAKDD.

Multi-Label Active Learning from Crowds pdf

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2015, ArXiv.

Editing Training Data for kNN Classifiers with Neural Network Ensemble

Zhi-Hua Zhou, Yuan Jiang, Zhi-Hua Zhou, 2004, ISNN.

Study on Identification of Product Life Cycle Based on Fuzzy Diagnosis Model

Hong Zhao, Yuan Jiang, Zheng-Yang Zhao, 2011 .

Expert-Level Atari Imitation Learning from Demonstrations Only pdf

Zhi-Hua Zhou, Yuan Jiang, Xin-Qiang Cai, 2019, ArXiv.

Pairwised Specific Distance Learning from Physical Linkages

Zhi-Hua Zhou, Yuan Jiang, Xintao Wu, 2015, ACM Trans. Knowl. Discov. Data.

Deep Multi-modal Learning with Cascade Consensus

Yuan Jiang, Yang Yang, De-Chuan Zhan, 2018, PRICAI.

Localized K-Flats

Yong Wang, Yi Wu, Zhi-Hua Zhou, 2011, AAAI.

Deep Learning for Fixed Model Reuse

Zhi-Hua Zhou, Yuan Jiang, Yang Yang, 2017, AAAI.

SOM Ensemble-Based Image Segmentation

Zhi-Hua Zhou, Yuan Jiang, Zhi-Hua Zhou, 2004, Neural Processing Letters.

An adaptive regulation problem and its application

Yuan Jiang, Ji-Yang Dai, Jiyang Dai, 2017, Int. J. Autom. Comput..

Software Defect Detection with Rocus

Zhi-Hua Zhou, Yuan Jiang, Ming Li, 2011, Journal of Computer Science and Technology.

Multi-manifold Clustering

Yong Wang, Yi Wu, Zhi-Hua Zhou, 2010, PRICAI.

Learning by Actively Querying Strong Modal Features

Yuan Jiang, Yang Yang, De-Chuan Zhan, 2016, IJCAI.

Deep social collaborative filtering by trust

Yuan Jiang, Bo Yang, Hechang Chen, 2018, ICBDT '18.

Multiple CFO estimation and compensation in cooperative communication systems

Yuan Jiang, Yanyan Zhang, Yusheng Zhang, 2014, 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS).

Adaptive signal detection in subspace interference with partial prior knowledge

Jun Fang, Yuan Jiang, Hongbin Li, 2017, 2017 IEEE Radar Conference (RadarConf).

The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System

Zhi-Hua Zhou, Yuan Jiang, Shifu Chen, 2002, IEA/AIE.

Exploiting Unlabeled Data in Content-Based Image Retrieval

Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang, 2004, ECML.

Affinity Propagation Clustering Using Path Based Similarity

Yuan Jiang, Guoxian Yu, Yuliang Liao, 2016, Algorithms.

TEFE: A Time-Efficient Approach to Feature Extraction

Yang Yu, Zhi-Hua Zhou, Yuan Jiang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Extracting symbolic rules from trained neural network ensembles

Zhi-Hua Zhou, Yuan Jiang, Shifu Chen, 2003, AI Commun..

Semi-Supervised Multi-Modal Learning with Incomplete Modalities

Yuan Jiang, Yang Yang, De-Chuan Zhan, 2018, IJCAI.

Preference Relation-based Markov Random Fields for Recommender Systems

Yuan Jiang, Truyen Tran, Gang Li, 2017, Machine Learning.

Highway Passenger Transport Based Express Parcel Service Network Design: Model and Algorithm

Yuan Jiang, Zhibin Lin, Gendao Li, 2017 .

Multi-label Crowdsourcing Learning with Incomplete Annotations

Shao-Yuan Li, Yuan Jiang, 2018, PRICAI.

Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach

Zhi-Hua Zhou, Yuan Jiang, De-Chuan Zhan, 2015, CIKM.

Dependency Bagging

Zhi-Hua Zhou, Yuan Jiang, Gang Li, 2005, RSFDGrC.

Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps

Yuan Jiang, De-Chuan Zhan, Han-Jia Ye, 2017, IJCAI.

Adaptive Signal Detection in Subspace Interference with Uncertain Prior Knowledge

Yuan Jiang, Hongbin Li, Muralidhar Rangaswamy, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble

Zhi-Hua Zhou, Yuan Jiang, Zhi-Hua Zhou, 2003, IEEE Transactions on Information Technology in Biomedicine.

Least Square Incremental Linear Discriminant Analysis

Zhi-Hua Zhou, Yuan Jiang, Li-Ping Liu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Ensemble approach based on conditional random field for multi-label image and video annotation

Zhi-Hua Zhou, Yuan Jiang, Xiangyang Xue, 2011, ACM Multimedia.

Genetic Algorithm based Selective Neural Network Ensemble

Jianxin Wu, Zhi-Hua Zhou, Yuan Jiang, 2001, IJCAI.

Multi-network User Identification via Graph-Aware Embedding

Yuan Jiang, Yang Yang, De-Chuan Zhan, 2018, PAKDD.

Rectify Heterogeneous Models with Semantic Mapping

Zhi-Hua Zhou, Yuan Jiang, De-Chuan Zhan, 2018, ICML.

Item Analysis of Combined Raven's Test Based on Item Response Theory

Yuan Jiang, Yebing Yang, Danmin Miao, 2012 .

Learning with Augmented Multi-Instance View

Jianxin Wu, Zhi-Hua Zhou, Yuan Jiang, 2014, ACML.

Study on Systematizing Design of Ecological Engineering Technology in Right of Highway

Yuan Jiang, Qiang Meng, Wei Gu, 2008 .

Auxiliary Information Regularized Machine for Multiple Modality Feature Learning

Yuan Jiang, Yang Yang, De-Chuan Zhan, 2015, IJCAI.

Comparative Study of Chinese and Foreign Environmental Performance Audit Method

Yuan Jiang, Jinyu Tian, 2016 .

Locating Regions of Interest in CBIR with Multi-instance Learning Techniques

Zhi-Hua Zhou, Yuan Jiang, Xiao-Bing Xue, 2005, Australian Conference on Artificial Intelligence.

DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning

Yuan Jiang, De-Chuan Zhan, Yi-Feng Wu, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).

Lung cancer cell identification based on artificial neural network ensembles

Yu-Bin Yang, Zhi-Hua Zhou, Yuan Jiang, 2002, Artif. Intell. Medicine.

Multi-View Matrix Completion for Clustering with Side Information

Zhi-Hua Zhou, Peng Zhao, Yuan Jiang, 2017, PAKDD.

Towards Discovering What Patterns Trigger What Labels

Zhi-Hua Zhou, Yuan Jiang, Yu-Feng Li, 2012, AAAI.

Multi-Instance Multi-Label Learning with Weak Label

Zhi-Hua Zhou, Yuan Jiang, Shu-Jun Yang, 2013, IJCAI.

Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

Yuan Jiang, Yang Yang, De-Chuan Zhan, 2018, KDD.

Learning Feature Aware Metric

Yuan Jiang, De-Chuan Zhan, Han-Jia Ye, 2016, ACML.

Partial Multi-View Clustering

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2014, AAAI.

BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage

Yuan Jiang, Hao Zhang, Guoxian Yu, 2018, Bioinform..

Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2017, IJCAI.

PU Active Learning for Recommender Systems

Yuan Jiang, Sheng-Jun Huang, Jia-Lue Chen, 2021, Neural Process. Lett..

Reconstruction-based Anomaly Detection with Completely Random Forest

Zhi-Hua Zhou, Yuan Jiang, Kai Ming Ting, 2021, SDM.

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values

Zhi-Hua Zhou, Yuan Jiang, Shao-Qun Zhang, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Learning from Incomplete and Inaccurate Supervision

Zhi-Hua Zhou, Yuan Jiang, Peng Zhao, 2021 .

Isolation Graph Kernel

Yuan Jiang, Kai Ming Ting, Bi-Cun Xu, 2021, AAAI.

Towards training time attacks for federated machine learning systems

Yuan Jiang, Ji Feng, Qi-Zhi Cai, 2021 .

Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima pdf

Zhi-Hua Zhou, Yuan Jiang, Shao-Qun Zhang, 2021, ArXiv.

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations pdf

Zhi-Hua Zhou, Yuan Jiang, Masashi Sugiyama, 2021, ArXiv.

Partial Multi-View Clustering

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2014, AAAI.