Xiaoming Liu

According to our database, Xiaoming Liu authored at least 18 papers between 2014 and 2024.

Collaborative distances:

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

2024

Robust Approximate Dynamic Programming for Large-Scale Unit Commitment With Energy Storages.

Yu Lan, Qiaozhu Zhai, Chao-Bo Yan, Xiaoming Liu, Xiaohong Guan

IEEE Trans Autom. Sci. Eng., October, 2024

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao.

Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang

CoRR, 2024

2023

Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning.

Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu

IEEE Trans. Knowl. Data Eng., May, 2023

2022

Infer-AVAE: An attribute inference model based on adversarial variational autoencoder.

Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan

Neurocomputing, 2022

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning.

Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Yu Lan, Chao Shen

CoRR, 2022

Unify Local and Global Information for Top-N Recommendation.

Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

A real-time explainable traffic collision inference framework based on probabilistic graph theory.

Xiaoming Liu, Yu Lan, Yadong Zhou, Chao Shen, Xiaohong Guan

Knowl. Based Syst., 2021

<i>Payment-Guard</i>: Detecting fraudulent in-app purchases in iOS system.

Yadong Zhou, Tianyi Yue, Xiaoming Liu, Chao Shen, Lingling Tong, Zhihao Ding

Neurocomputing, 2021

2020

We Know Who You Are: Discovering Similar Groups Across Multiple Social Networks.

Xiaoming Liu, Chao Shen, Xiaohong Guan, Yadong Zhou

IEEE Trans. Syst. Man Cybern. Syst., 2020

CoEvil: A Coevolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection.

Xiaoming Liu, Chao Shen, Wei Wang, Xiaohong Guan

IEEE Trans. Fuzzy Syst., 2020

A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning.

Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen

CoRR, 2020

Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach.

Qirui Li, Xiaoming Liu, Chao Shen, Xi Peng, Yadong Zhou, Xiaohong Guan

CoRR, 2020

2019

Digger: Detect Similar Groups in Heterogeneous Social Networks.

Xiaoming Liu, Chao Shen, Xiaohong Guan, Yadong Zhou

ACM Trans. Knowl. Discov. Data, 2019

2018

A Co-Evolutionary Model for Inferring Online Social Network User Behaviors.

Xiaoming Liu, Chao Shen, Yingyue Fan, Xiaozi Liu, Yadong Zhou, Xiaohong Guan

Proceedings of the 2018 International Conference on Security, 2018

2017

A feasible graph partition framework for parallel computing of big graph.

Xiaoming Liu, Yadong Zhou, Xiaohong Guan, Chao Shen

Knowl. Based Syst., 2017

2016

MIRACLE: A multiple independent random walks community parallel detection algorithm for big graphs.

Xiaoming Liu, Yadong Zhou, Chengchen Hu, Xiaohong Guan

J. Netw. Comput. Appl., 2016

2015

A Feasible Graph Partition Framework for Random Walks Implemented by Parallel Computing in Big Graph.

Xiaoming Liu, Yadong Zhou, Xiaohong Guan

CoRR, 2015

2014

Detecting community structure for undirected big graphs based on random walks.

Xiaoming Liu, Yadong Zhou, Chengchen Hu, Xiaohong Guan, Junyuan Leng

Proceedings of the 23rd International World Wide Web Conference, 2014