Guannan Liu

According to our database, Guannan Liu authored at least 40 papers between 2010 and 2025.

Collaborative distances:

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

2025

Nowhere to H²IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification.

Chao Fu, Guannan Liu, Kun Yuan, Junjie Wu

IEEE Trans. Knowl. Data Eng., March, 2025

Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction.

Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Denoising Item Graph With Disentangled Learning for Recommendation.

Liang Zhang, Guannan Liu, Xiaohui Liu, Junjie Wu

IEEE Trans. Knowl. Data Eng., July, 2024

Are Neighbors Alike? A Semisupervised Probabilistic Collaborative Learning Model for Online Review Spammers Detection.

Zhiang Wu, Guannan Liu, Junjie Wu, Yong Tan

Inf. Syst. Res., 2024

Deterring the Gray Market: Product Diversion Detection via Learning Disentangled Representations of Multivariate Time Series.

Hao Lin, Guannan Liu, Junjie Wu, J. Leon Zhao

INFORMS J. Comput., 2024

Modeling Reference-dependent Choices with Graph Neural Networks.

Liang Zhang, Guannan Liu, Junjie Wu, Yong Tan

CoRR, 2024

2023

Semantic and Structural View Fusion Modeling for Social Recommendation.

Kun Yuan, Guannan Liu, Junjie Wu, Hui Xiong

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

Telecom Fraud Detection via Hawkes-Enhanced Sequence Model.

Yan Jiang, Guannan Liu, Junjie Wu, Hao Lin

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

Beyond Similarity: Relation-Based Collaborative Filtering.

Guannan Liu, Liang Zhang, Junjie Wu

IEEE Trans. Knowl. Data Eng., 2023

Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network.

Ran Li, Liang Zhang, Guannan Liu, Junjie Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Identifying Structural Holes for Sentiment Classification.

Zheng Xie, Guannan Liu, Jinming Qu, Junjie Wu, Hong Li

Inf. Syst. Frontiers, 2022

Spatiotemporal Attention Networks for Traffic Demand Prediction.

Guannan Liu, Chenxi Chen, Xin Wan, Junjie Wu

Proceedings of the 3rd International Conference on Big Data & Artificial Intelligence & Software Engineering, 2022

2021

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.

Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang

IEEE Trans. Neural Networks Learn. Syst., 2021

Where to go? Predicting next location in IoT environment.

Hao Lin, Guannan Liu, Fengzhi Li, Yuan Zuo

Frontiers Comput. Sci., 2021

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View.

Yutian Chang, Guannan Liu, Yuan Zuo, Junjie Wu

CoRR, 2021

2020

A Pseudo-document-based Topical N-grams model for short texts.

Hao Lin, Yuan Zuo, Guannan Liu, Hong Li, Junjie Wu, Zhiang Wu

World Wide Web, 2020

Fraud Detection in Dynamic Interaction Network.

Hao Lin, Guannan Liu, Junjie Wu, Yuan Zuo, Xin Wan, Hong Li

IEEE Trans. Knowl. Data Eng., 2020

Dancing with Trump in the Stock Market: A Deep Information Echoing Model.

Kun Yuan, Guannan Liu, Junjie Wu, Hui Xiong

ACM Trans. Intell. Syst. Technol., 2020

Fraud detection via behavioral sequence embedding.

Guannan Liu, Jia Guo, Yuan Zuo, Junjie Wu, Ren-Yong Guo

Knowl. Inf. Syst., 2020

2019

Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation.

Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2019

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.

Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2019

Whose posts to read: Finding social sensors for effective information acquisition.

Kun Yuan, Guannan Liu, Junjie Wu

Inf. Process. Manag., 2019

Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation.

Liang Zhang, Guannan Liu, Junjie Wu

CoRR, 2019

2018

Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model.

Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li

ACM Trans. Intell. Syst. Technol., 2018

Big data would not lie: prediction of the 2016 Taiwan election via online heterogeneous information.

Zheng Xie, Guannan Liu, Junjie Wu, Yong Tan

EPJ Data Sci., 2018

Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data.

Zheng Xie, Guannan Liu, Junjie Wu, Yong Tan

CoRR, 2018

Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.

Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Embedding Temporal Network via Neighborhood Formation.

Yuan Zuo, Guannan Liu, Hao Lin, Jia Guo, Xiaoqian Hu, Junjie Wu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Sequential Behavior Representations for Fraud Detection.

Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Modeling Buying Motives for Personalized Product Bundle Recommendation.

Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen

ACM Trans. Knowl. Discov. Data, 2017

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes.

Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised P2P Rental Recommendations via Integer Programming.

Yanjie Fu, Guannan Liu, Mingfei Teng, Charu C. Aggarwal

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Fused latent models for assessing product return propensity in online commerce.

Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Xiaolin Li, Guoqing Chen

Decis. Support Syst., 2016

Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method.

Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, Zhang Xiong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Exploring the Impact of Dynamic Mutual Influence on Social Event Participation.

Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Real Estate Ranking via Mixed Land-use Latent Models.

Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Being rational or aggressive? A revisit to Dunbar's number in online social networks.

Jichang Zhao, Junjie Wu, Guannan Liu, Dacheng Tao, Ke Xu, Chunyang Liu

Neurocomputing, 2014

A cost-effective recommender system for taxi drivers.

Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns.

Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2010

Being Rational or Aggressive? A Revisit to Dunbar's Number in Online Social Networks

Jichang Zhao, Junjie Wu, Guannan Liu, Ke Xu, Guoqing Chen

CoRR, 2010