Community Ranking in Social Network. - Ding Xiao; Nan Du; Bin Wu 001; Bai Wang 001 (IMSCCS, 2007)

Research into Teaching Method Reform of Data Structure Curriculum. - Ding Xiao (CSSE (5), 2008)

Interaction simulate method in business process simulation. - Ding Xiao; Qin Luo (ICSS, 2010)

The Implementation of XPDL Workflow Verification Service Based on SaaS. - Ding Xiao; Qianqian Zhang (ICSS, 2010)

Resource prediction based on program granularity combined with data purification. - Ding Xiao; Bingqing Shang; Bin Wu 001; Xiuqin Lin; Kesheng Chen (FSKD, 2015)

Prediction of energy consumption time series using Neural Networks combined with exogenous series. - Bin Wu 001; Yu Cui; Ding Xiao; Cunyong Zhang (ICNC, 2015)

High-Dimensional Data Visualization Based on User Knowledge. - Qiaolian Liu; Jianfei Zhao; Naiwang Guo; Ding Xiao; Chuan Shi 001 (DMBD, 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)

Visual analysis of large heterogeneous network through interactive centrality based sampling. - Haibo Chen; Jianfei Zhao; Xiaoji Chen; Ding Xiao; Chuan Shi 001 (ICNSC, 2017)

Anomalous Trajectory Detection Using Recurrent Neural Network. - Li Song; Ruijia Wang; Ding Xiao; Xiaotian Han; Yanan Cai; Chuan Shi 001 (ADMA, 2018)

Abstractive Document Summarization via Bidirectional Decoder. - Xin Wan; Chen Li; Ruijia Wang; Ding Xiao; Chuan Shi 001 (ADMA, 2018)

ANE: Network Embedding via Adversarial Autoencoders. - Yang Xiao 017; Ding Xiao; Binbin Hu; Chuan Shi 001 (BigComp, 2018)

Coupled matrix factorization and topic modeling for aspect mining. - Ding Xiao; Yugang Ji; Yitong Li; Fuzhen Zhuang; Chuan Shi 001 (Inf. Process. Manag., 2018)

Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. - Jianan Zhao 002; Ding Xiao; Linmei Hu; Chuan Shi 001 (APWeb/WAIM (1), 2019)

STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction. - Mingjun Ma; Bo Peng; Ding Xiao; Yugang Ji; Chuan Shi 001 (ADMA, 2020)

Encrypted Traffic Classification Using Graph Convolutional Networks. - Shuang Mo; Yifei Wang; Ding Xiao; Wenrui Wu; Shaohua Fan; Chuan Shi 001 (ADMA, 2020)

Traffic Prediction on Communication Network based on Spatial-Temporal Information. - Yue Ma 007; Bo Peng; Mingjun Ma; Yifei Wang; Ding Xiao (ICACT, 2020)

Electricity Theft Detection Using Deep Bidirectional Recurrent Neural Network. - Zhongtao Chen; De Meng; Yufan Zhang; Tinglin Xin; Ding Xiao (ICACT, 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)

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)

Embedding geographic information for anomalous trajectory detection. - Ding Xiao; Li Song; Ruijia Wang; Xiaotian Han; Yanan Cai; Chuan Shi 001 (World Wide Web, 2020)

Sequence Attention for Multivariate Time Series Forecasting. - Wenrui Wu; Tao Tao; Jing Shang; Ding Xiao; Chuan Shi 001; Yong Jiang (DSC, 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)

An Effective Sentiment Analysis Model for Tobacco Consumption. - Yanru Hao; Tianchi Yang; Chuan Shi 001; Rui Wang; Ding Xiao (ICCPR, 2022)

Self-supervised Graph Neural Networks for Multi-behavior Recommendation. - Shuyun Gu; Xiao Wang 017; Chuan Shi 001; Ding Xiao (IJCAI, 2022)

Capability Evaluation on Equipment Technical Support Force. - Ding Xiao; Li Zhang; Zeyu Wang (ISCID, 2022)

An Effective Model for Aspect Category Sentiment Analysis on a Chinese Tobacco Dataset. - Yixiang Huang; Juan Yang 002; Ding Xiao (ICMLC, 2024)