Being Rational or Aggressive? A Revisit to Dunbar's Number in Online Social Networks - Jichang Zhao; Junjie Wu 002; Guannan Liu 004; Ke Xu 001; Guoqing Chen (CoRR, 2010)

Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns. - Guannan Liu 004; Yanjie Fu; Tong Xu 001; Hui Xiong 001; Guoqing Chen (ICDM, 2014)

A cost-effective recommender system for taxi drivers. - Meng Qu; Hengshu Zhu; Junming Liu; Guannan Liu 004; Hui Xiong 001 (KDD, 2014)

Being rational or aggressive? A revisit to Dunbar's number in online social networks. - Jichang Zhao; Junjie Wu 002; Guannan Liu 004; Dacheng Tao; Ke Xu 001; Chunyang Liu (Neurocomputing, 2014)

Real Estate Ranking via Mixed Land-use Latent Models. - Yanjie Fu; Guannan Liu 004; Spiros Papadimitriou; Hui Xiong 001; Yong Ge; Hengshu Zhu; Chen Zhu 003 (KDD, 2015)

Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. - Tong Xu 001; Hao Zhong 002; Hengshu Zhu; Hui Xiong 001; Enhong Chen; Guannan Liu 004 (SDM, 2015)

Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method. - Jingyuan Wang 001; Qian Gu; Junjie Wu 002; Guannan Liu 004; Zhang Xiong 001 (ICDM, 2016)

Fused latent models for assessing product return propensity in online commerce. - Yanjie Fu; Guannan Liu 004; Spiros Papadimitriou; Hui Xiong 001; Xiaolin Li; Guoqing Chen (Decis. Support Syst., 2016)

Unsupervised P2P Rental Recommendations via Integer Programming. - Yanjie Fu; Guannan Liu 004; Mingfei Teng; Charu C. Aggarwal (KDD, 2017)

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. - Pengfei Wang 008; Yanjie Fu; Guannan Liu 004; Wenqing Hu; Charu C. Aggarwal (KDD, 2017)

Modeling Buying Motives for Personalized Product Bundle Recommendation. - Guannan Liu 004; Yanjie Fu; Guoqing Chen; Hui Xiong 001; Can Chen (ACM Trans. Knowl. Discov. Data, 2017)

Learning Sequential Behavior Representations for Fraud Detection. - Jia Guo; Guannan Liu 004; Yuan Zuo; Junjie Wu 002 (ICDM, 2018)

Embedding Temporal Network via Neighborhood Formation. - Yuan Zuo; Guannan Liu 004; Hao Lin 002; Jia Guo; Xiaoqian Hu; Junjie Wu 002 (KDD, 2018)

Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. - Pengyang Wang; Jiawei Zhang 001; Guannan Liu 004; Yanjie Fu; Charu C. Aggarwal (SDM, 2018)

Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data. - Zheng Xie; Guannan Liu 004; Junjie Wu 002; Yong Tan 001 (CoRR, 2018)

Big data would not lie: prediction of the 2016 Taiwan election via online heterogeneous information. - Zheng Xie; Guannan Liu 004; Junjie Wu 002; Yong Tan 001 (EPJ Data Sci., 2018)

Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model. - Pengfei Wang 008; Guannan Liu 004; Yanjie Fu; Yuanchun Zhou; Jianhui Li (ACM Trans. Intell. Syst. Technol., 2018)

Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation. - Liang Zhang; Guannan Liu 004; Junjie Wu 002 (CoRR, 2019)

Whose posts to read: Finding social sensors for effective information acquisition. - Kun Yuan; Guannan Liu 004; Junjie Wu 002 (Inf. Process. Manag., 2019)

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. - Yanjie Fu; Guannan Liu 004; Yong Ge; Pengyang Wang; Hengshu Zhu; Chunxiao Li 003; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation. - Tong Xu 001; Hengshu Zhu; Hao Zhong 002; Guannan Liu 004; Hui Xiong 001; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2019)

Fraud detection via behavioral sequence embedding. - Guannan Liu 004; Jia Guo; Yuan Zuo; Junjie Wu 002; Ren-Yong Guo 001 (Knowl. Inf. Syst., 2020)

Dancing with Trump in the Stock Market: A Deep Information Echoing Model. - Kun Yuan; Guannan Liu 004; Junjie Wu 002; Hui Xiong 001 (ACM Trans. Intell. Syst. Technol., 2020)

Fraud Detection in Dynamic Interaction Network. - Hao Lin 002; Guannan Liu 004; Junjie Wu 002; Yuan Zuo; Xin Wan; Hong Li (IEEE Trans. Knowl. Data Eng., 2020)

A Pseudo-document-based Topical N-grams model for short texts. - Hao Lin 002; Yuan Zuo; Guannan Liu 004; Hong Li; Junjie Wu 002; Zhiang Wu 001 (World Wide Web, 2020)

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View. - Yutian Chang; Guannan Liu 004; Yuan Zuo; Junjie Wu 002 (CoRR, 2021)

Where to go? Predicting next location in IoT environment. - Hao Lin 002; Guannan Liu 004; Fengzhi Li; Yuan Zuo (Frontiers Comput. Sci., 2021)

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. - Deqing Wang 001; Baoyu Jing; Chenwei Lu; Junjie Wu 002; Guannan Liu 004; Chenguang Du; Fuzhen Zhuang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Spatiotemporal Attention Networks for Traffic Demand Prediction. - Guannan Liu 004; Chenxi Chen; Xin Wan; Junjie Wu 002 (ICBASE, 2022)

Identifying Structural Holes for Sentiment Classification. - Zheng Xie; Guannan Liu 004; Jinming Qu; Junjie Wu 002; Hong Li (Inf. Syst. Frontiers, 2022)

Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network. - Ran Li; Liang Zhang; Guannan Liu 004; Junjie Wu 002 (SIGIR, 2023)

Beyond Similarity: Relation-Based Collaborative Filtering. - Guannan Liu 004; Liang Zhang; Junjie Wu 002 (IEEE Trans. Knowl. Data Eng., 2023)

Telecom Fraud Detection via Hawkes-Enhanced Sequence Model. - Yan Jiang; Guannan Liu 004; Junjie Wu 002; Hao Lin 002 (IEEE Trans. Knowl. Data Eng., 2023)

Semantic and Structural View Fusion Modeling for Social Recommendation. - Kun Yuan; Guannan Liu 004; Junjie Wu 002; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Modeling Reference-dependent Choices with Graph Neural Networks. - Liang Zhang; Guannan Liu 004; Junjie Wu 002; Yong Tan 001 (CoRR, 2024)

Deterring the Gray Market: Product Diversion Detection via Learning Disentangled Representations of Multivariate Time Series. - Hao Lin 002; Guannan Liu 004; Junjie Wu 002; J. Leon Zhao (INFORMS J. Comput., 2024)

Are Neighbors Alike? A Semisupervised Probabilistic Collaborative Learning Model for Online Review Spammers Detection. - Zhiang Wu 001; Guannan Liu 004; Junjie Wu 002; Yong Tan 001 (Inf. Syst. Res., 2024)

Denoising Item Graph With Disentangled Learning for Recommendation. - Liang Zhang; Guannan Liu 004; Xiaohui Liu; Junjie Wu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. - Ran Zhang 008; Xuezhi Wang 004; Guannan Liu 004; Pengyang Wang; Yuanchun Zhou; Pengfei Wang 008 (AAAI, 2025)

Nowhere to H2IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification. - Chao Fu; Guannan Liu 004; Kun Yuan; Junjie Wu 002 (IEEE Trans. Knowl. Data Eng., 2025)