Xiaoming Jin

发表

Qualitative spatial reasoning about Internal Cardinal Direction relations

Yi Zhang, Yu Liu, Xiaoming Jin, 2007 .

Cluster time series based on partial information

Xiaoming Jin, Yuchang Lu, Chunyi Shi, 2002, IEEE International Conference on Systems, Man and Cybernetics.

ARM Feature Embedding + Feature Extractor Feature Aggregation MLP ... Pool zzii / wwbbii Co-occurrence ( a ) ( b ) Attribute Prototype Embedding ( APE ) Classifier

Guiguang Ding, Jungong Han, Leida Li, 2019 .

Active Learning with Cross-Class Knowledge Transfer

Guiguang Ding, Yuchen Guo, Xiaoming Jin, 2016, AAAI.

Searching Dimension Incomplete Databases

Wei Cheng, Xuemin Lin, Xiang Zhang, 2014, IEEE Transactions on Knowledge and Data Engineering.

Towards Better Uncertainty Sampling: Active Learning with Multiple Views for Deep Convolutional Neural Network

Chenggang Yan, Guiguang Ding, Xiaoming Jin, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

Short text classification by detecting information path

Bin Cao, Xiaochen Zhang, Xiaoming Jin, 2013, CIKM.

A representing model of rule distribution in temporal sequence

Xiaoming Jin, Yuchang Lu, Chunyi Shi, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

LR-MS: a mining system for local temporal rules

Xiaoming Jin, Yuchang Lu, Chunyi Shi, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Distribution Discovery: Local Analysis of Temporal Rules

Xiaoming Jin, Yuchang Lu, Chunyi Shi, 2002, PAKDD.

Automatic Gating of Attributes in Deep Structure

Guiguang Ding, Tao He, Xiaoming Jin, 2018, IJCAI.

Celebrity Recommendation with Collaborative Social Topic Regression

Yujia Li, Xiaoming Jin, Lianghao Li, 2013, IJCAI.

Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning

Xin Zhao, Guiguang Ding, Yuchen Guo, 2018, IJCAI.

Transductive Zero-Shot Recognition via Shared Model Space Learning

Jianmin Wang, Guiguang Ding, Yuchen Guo, 2016, AAAI.

Detecting Change in Data Stream: Using Sampling Technique

Wei Li, Xiaoming Jin, Xiaojun Ye, 2007, Third International Conference on Natural Computation (ICNC 2007).

Max-margin latent feature relational models for entity-attribute networks

Ning Chen, Fei Xia, Jun Zhu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An automatic construction and organization strategy for ensemble learning on data streams

Xiaoming Jin, Yi Zhang, Yi Zhang, 2006, SGMD.

2019 Formatting Instructions for Authors Using LaTeX pdf

Guiguang Ding, Xiaoming Jin, Lan Yi, 2017 .

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Guiguang Ding, Jungong Han, Leida Li, 2019, IJCAI.

Efficient Discovery of Emerging Frequent Patterns in ArbitraryWindows on Data Streams

Jianmin Wang, Jia-Guang Sun, Kwok-Yan Lam, 2006, 22nd International Conference on Data Engineering (ICDE'06).

Topic Correlation Analysis for Cross-Domain Text Classification

Mingsheng Long, Xiaoming Jin, Lianghao Li, 2012, AAAI.

Image Emotion Distribution Learning with Graph Convolutional Networks

Tao He, Xiaoming Jin, Xiaoming Jin, 2019, ICMR.

Mining common topics from multiple asynchronous text streams

Kai Zhang, Xiaoming Jin, Dou Shen, 2009, WSDM '09.

Cross-region collaborative filtering for new point-of-interest recommendation

Xiaoming Jin, Ning Zheng, Lianghao Li, 2013, WWW.

Topic Mining over Asynchronous Text Sequences

Kai Zhang, Xiang Wang, Mengen Chen, 2012, IEEE Transactions on Knowledge and Data Engineering.

Learning Predictable and Discriminative Attributes for Visual Recognition

Jianmin Wang, Guiguang Ding, Yuchen Guo, 2015, AAAI.

Short Text Classification Improved by Learning Multi-Granularity Topics

Mengen Chen, Xiaoming Jin, Dou Shen, 2011, IJCAI.

Multi-domain active learning for text classification

Jian-Tao Sun, Sinno Jialin Pan, Xiaoming Jin, 2012, KDD.

Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning

Xiaoming Jin, Yi Zhang, Yi Zhang, 2007, IJCAI.

General Hierarchical Model (GHM) to measure similarity of time series

Xiaoming Jin, Xinqiang Zuo, Xiaoming Jin, 2007, SGMD.

Xiaoming Jin, Yuchang Lu, Chunyi Shi, 2002, KDD.

Robust Iterative Quantization for Efficient ℓp-norm Similarity Search

Jungong Han, Guiguang Ding, Yuchen Guo, 2016, IJCAI.

Multi-Domain Active Learning for Recommendation

Qiang Yang, Guiguang Ding, Xiaoming Jin, 2016, AAAI.

Common-Specific Multimodal Learning for Deep Belief Network

Xiaoming Jin, Changsheng Xiang, Xiaoming Jin, 2017, CIKM.