Xiaoming Liu

According to our database, Xiaoming Liu authored at least 26 papers between 2014 and 2025.

Collaborative distances:

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

2025

EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference.

Xiaoming Liu, Hang Pu, Zhuo Chen, Zhanwei Zhang, Yu Lan, Chao Shen

IEEE Trans. Dependable Secur. Comput., 2025

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

Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

CoRR, 2024

Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation.

Xiaoming Liu, Chen Liu, Zhaohan Zhang, Chengzhengxu Li, Longtian Wang, Yu Lan, Chao Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning.

Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning.

Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen

CoRR, 2023

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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