Ding Xiao

According to our database, Ding Xiao authored at least 27 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Effective Model for Aspect Category Sentiment Analysis on a Chinese Tobacco Dataset.

Yixiang Huang, Juan Yang, Ding Xiao

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

2022

Capability Evaluation on Equipment Technical Support Force.

Ding Xiao, Li Zhang, Zeyu Wang

Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Self-supervised Graph Neural Networks for Multi-behavior Recommendation.

Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

An Effective Sentiment Analysis Model for Tobacco Consumption.

Yanru Hao, Tianchi Yang, Chuan Shi, Rui Wang, Ding Xiao

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

2021

A hierarchical and parallel framework for End-to-End Aspect-based Sentiment Analysis.

Ding Xiao, Feiyang Ren, Xiaoxuan Pang, Ming Cai, Qianyu Wang, Ming He, Jiawei Peng, Hao Fu

Neurocomputing, 2021

Sequence Attention for Multivariate Time Series Forecasting.

Wenrui Wu, Tao Tao, Jing Shang, Ding Xiao, Chuan Shi, Yong Jiang

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020

Embedding geographic information for anomalous trajectory detection.

Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi

World Wide Web, 2020

A3ID: An Automatic and Interpretable Implicit Interference Detection Method for Smart Home via Knowledge Graph.

Ding Xiao, Qianyu Wang, Ming Cai, Zhaohui Zhu, Weiming Zhao

IEEE Internet Things J., 2020

DNet: A lightweight and efficient model for aspect based sentiment analysis.

Feiyang Ren, Liangming Feng, Ding Xiao, Ming Cai, Sheng Cheng

Expert Syst. Appl., 2020

Electricity Theft Detection Using Deep Bidirectional Recurrent Neural Network.

Zhongtao Chen, De Meng, Yufan Zhang, Tinglin Xin, Ding Xiao

Proceedings of the 22nd International Conference on Advanced Communication Technology, 2020

Traffic Prediction on Communication Network based on Spatial-Temporal Information.

Yue Ma, Bo Peng, Mingjun Ma, Yifei Wang, Ding Xiao

Proceedings of the 22nd International Conference on Advanced Communication Technology, 2020

Encrypted Traffic Classification Using Graph Convolutional Networks.

Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction.

Mingjun Ma, Bo Peng, Ding Xiao, Yugang Ji, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks.

Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

Coupled matrix factorization and topic modeling for aspect mining.

Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi

Inf. Process. Manag., 2018

ANE: Network Embedding via Adversarial Autoencoders.

Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Abstractive Document Summarization via Bidirectional Decoder.

Xin Wan, Chen Li, Ruijia Wang, Ding Xiao, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Anomalous Trajectory Detection Using Recurrent Neural Network.

Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017

Visual analysis of large heterogeneous network through interactive centrality based sampling.

Haibo Chen, Jianfei Zhao, Xiaoji Chen, Ding Xiao, Chuan Shi

Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

2016

Latent Attribute Inference of Users in Social Media with Very Small Labeled Dataset.

Ding Xiao, Rui Wang, Lingling Wu

IEICE Trans. Inf. Syst., 2016

High-Dimensional Data Visualization Based on User Knowledge.

Qiaolian Liu, Jianfei Zhao, Naiwang Guo, Ding Xiao, Chuan Shi

Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015

Prediction of energy consumption time series using Neural Networks combined with exogenous series.

Bin Wu, Yu Cui, Ding Xiao, Cunyong Zhang

Proceedings of the 11th International Conference on Natural Computation, 2015

Resource prediction based on program granularity combined with data purification.

Ding Xiao, Bingqing Shang, Bin Wu, Xiuqin Lin, Kesheng Chen

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2010

The Implementation of XPDL Workflow Verification Service Based on SaaS.

Ding Xiao, Qianqian Zhang

Proceedings of the International Conference on Service Sciences, 2010

Interaction simulate method in business process simulation.

Ding Xiao, Qin Luo

Proceedings of the International Conference on Service Sciences, 2010

2008

Research into Teaching Method Reform of Data Structure Curriculum.

Ding Xiao

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

Community Ranking in Social Network.

Ding Xiao, Nan Du, Bin Wu, Bai Wang

Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007