Detecting community structure for undirected big graphs based on random walks. - Xiaoming Liu 011; Yadong Zhou; Chengchen Hu; Xiaohong Guan; Junyuan Leng (WWW (Companion Volume), 2014)

A Feasible Graph Partition Framework for Random Walks Implemented by Parallel Computing in Big Graph. - Xiaoming Liu 011; Yadong Zhou; Xiaohong Guan (CoRR, 2015)

MIRACLE: A multiple independent random walks community parallel detection algorithm for big graphs. - Xiaoming Liu 011; Yadong Zhou; Chengchen Hu; Xiaohong Guan (J. Netw. Comput. Appl., 2016)

A feasible graph partition framework for parallel computing of big graph. - Xiaoming Liu 011; Yadong Zhou; Xiaohong Guan; Chao Shen 001 (Knowl. Based Syst., 2017)

A Co-Evolutionary Model for Inferring Online Social Network User Behaviors. - Xiaoming Liu 011; Chao Shen 001; Yingyue Fan; Xiaozi Liu; Yadong Zhou; Xiaohong Guan (SPAC, 2018)

Digger: Detect Similar Groups in Heterogeneous Social Networks. - Xiaoming Liu 011; Chao Shen 001; Xiaohong Guan; Yadong Zhou (ACM Trans. Knowl. Discov. Data, 2019)

Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach. - Qirui Li; Xiaoming Liu 011; Chao Shen 001; Xi Peng; Yadong Zhou; Xiaohong Guan (CoRR, 2020)

A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning. - Xiaoming Liu 011; Shaocong Wu; Zhaohan Zhang; Zhanwei Zhang; Yu Lan; Chao Shen 001 (CoRR, 2020)

CoEvil: A Coevolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection. - Xiaoming Liu 011; Chao Shen 001; Wei Wang 012; Xiaohong Guan (IEEE Trans. Fuzzy Syst., 2020)

We Know Who You Are: Discovering Similar Groups Across Multiple Social Networks. - Xiaoming Liu 011; Chao Shen 001; Xiaohong Guan; Yadong Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Payment-Guard: Detecting fraudulent in-app purchases in iOS system. - Yadong Zhou; Tianyi Yue; Xiaoming Liu 011; Chao Shen 001; Lingling Tong; Zhihao Ding (Neurocomputing, 2021)

A real-time explainable traffic collision inference framework based on probabilistic graph theory. - Xiaoming Liu 011; Yu Lan; Yadong Zhou; Chao Shen 001; Xiaohong Guan (Knowl. Based Syst., 2021)

Unify Local and Global Information for Top-N Recommendation. - Xiaoming Liu 011; Shaocong Wu; Zhaohan Zhang; Chao Shen 001 (SIGIR, 2022)

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning. - Xiaoming Liu 011; Zhaohan Zhang; Yichen Wang 002; Yu Lan; Chao Shen 001 (CoRR, 2022)

Infer-AVAE: An attribute inference model based on adversarial variational autoencoder. - Yadong Zhou; Zhihao Ding; Xiaoming Liu 011; Chao Shen 001; Lingling Tong; Xiaohong Guan (Neurocomputing, 2022)

Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. - Xiaoming Liu 011; Zhanwei Zhang; Lingjuan Lyu; Zhaohan Zhang; Shuai Xiao 002; Chao Shen 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao. - Xu Chen 026; Zida Cheng; Yuangang Pan; Shuai Xiao 002; Xiaoming Liu 011; Jinsong Lan; Qingwen Liu 002; Ivor W. Tsang (CoRR, 2024)

Robust Approximate Dynamic Programming for Large-Scale Unit Commitment With Energy Storages. - Yu Lan; Qiaozhu Zhai; Chao-Bo Yan; Xiaoming Liu 011; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2024)