Xiaoming Liu

31 papers A* 5Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment.
AAAI
Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao
2025 J jnl
DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection.
CoRR
Guoxin Ma, Xiaoming Liu, Zhanhan Zhang, Chengzhengxu Li, Shengchao Liu, Yu Lan
2025 J jnl
EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference.
IEEE Trans. Dependable Secur. Comput.
Xiaoming Liu, Hang Pu, Zhuo Chen, Zhanwei Zhang, Yu Lan, Chao Shen
2025 J jnl
Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression.
CoRR
Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shaochu Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Chao Shen
2024 J jnl
Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao.
CoRR
Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang
2024 A* conf
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models.
NeurIPS
Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen
2024 J jnl
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models.
CoRR
Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen
2024 A* conf
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning.
AAAI
Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen
2024 J jnl
Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.
CoRR
Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen
2024 — conf
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.
ACL (1)
Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen
2024 J jnl
Robust Approximate Dynamic Programming for Large-Scale Unit Commitment With Energy Storages.
IEEE Trans Autom. Sci. Eng.
Yu Lan, Qiaozhu Zhai, Chao-Bo Yan, Xiaoming Liu, Xiaohong Guan
2024 — conf
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation.
EMNLP (Findings)
Xiaoming Liu, Chen Liu, Zhaohan Zhang, Chengzhengxu Li, Longtian Wang, Yu Lan, Chao Shen
2024 J jnl
StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation.
CoRR
Xiaoming Liu, Chen Liu, Zhaohan Zhang, Chengzhengxu Li, Longtian Wang, Yu Lan, Chao Shen
2023 A* conf
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning.
EMNLP
Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Hang Pu, Yu Lan, Chao Shen
2023 J jnl
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning.
CoRR
Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen
2023 J jnl
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning.
IEEE Trans. Knowl. Data Eng.
Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu
2022 J jnl
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning.
CoRR
Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Yu Lan, Chao Shen
2022 J jnl
Infer-AVAE: An attribute inference model based on adversarial variational autoencoder.
Neurocomputing
Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan
2022 A* conf
Unify Local and Global Information for Top-N Recommendation.
SIGIR
Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen
2021 J jnl
A real-time explainable traffic collision inference framework based on probabilistic graph theory.
Knowl. Based Syst.
Xiaoming Liu, Yu Lan, Yadong Zhou, Chao Shen, Xiaohong Guan
2020 J jnl
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning.
CoRR
Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen
2020 J jnl
CoEvil: A Coevolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection.
IEEE Trans. Fuzzy Syst.
Xiaoming Liu, Chao Shen, Wei Wang, Xiaohong Guan
2020 J jnl
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder.
CoRR
Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan
2020 J jnl
Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach.
CoRR
Qirui Li, Xiaoming Liu, Chao Shen, Xi Peng, Yadong Zhou, Xiaohong Guan
2020 J jnl
We Know Who You Are: Discovering Similar Groups Across Multiple Social Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Xiaoming Liu, Chao Shen, Xiaohong Guan, Yadong Zhou
2019 J jnl
Digger: Detect Similar Groups in Heterogeneous Social Networks.
ACM Trans. Knowl. Discov. Data
Xiaoming Liu, Chao Shen, Xiaohong Guan, Yadong Zhou
2018 — conf
A Co-Evolutionary Model for Inferring Online Social Network User Behaviors.
SPAC
Xiaoming Liu, Chao Shen, Yingyue Fan, Xiaozi Liu, Yadong Zhou, Xiaohong Guan
2017 J jnl
A feasible graph partition framework for parallel computing of big graph.
Knowl. Based Syst.
Xiaoming Liu, Yadong Zhou, Xiaohong Guan, Chao Shen
2016 J jnl
MIRACLE: A multiple independent random walks community parallel detection algorithm for big graphs.
J. Netw. Comput. Appl.
Xiaoming Liu, Yadong Zhou, Chengchen Hu, Xiaohong Guan
2015 J jnl
A Feasible Graph Partition Framework for Random Walks Implemented by Parallel Computing in Big Graph.
CoRR
Xiaoming Liu, Yadong Zhou, Xiaohong Guan
2014 — conf
Detecting community structure for undirected big graphs based on random walks.
WWW (Companion Volume)
Xiaoming Liu, Yadong Zhou, Chengchen Hu, Xiaohong Guan, Junyuan Leng