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

On modeling the crowding and psychological effects in network-virus prevalence with nonlinear epidemic model. - Hua Yuan; Guannan Liu; Guoqing Chen (Appl. Math. Comput., 2012)

Integrated Intelligent Control Method of Coke Oven Collector Pressure. - Jie-Sheng Wang; Xianwen Gao; Lin Liu; Guannan Liu (ISNN (2), 2013)

Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns. - Guannan Liu; 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; Hui Xiong 001 (KDD, 2014)

An approach to finding the cost-effective immunization targets for information assurance. - Guannan Liu; Jin Zhang 017; Guoqing Chen (Decis. Support Syst., 2014)

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

Real Estate Ranking via Mixed Land-use Latent Models. - Yanjie Fu; Guannan Liu; 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 (SDM, 2015)

Knowledge transfer: Does more experience yield improved design quality? - DeLean Tolbert; Reis Lehman; Guannan Liu; Benjamin Sadler; Monica Cardella (FIE, 2016)

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

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

Semantic search for public opinions on urban affairs: A probabilistic topic modeling-based approach. - Baojun Ma; Nan Zhang; Guannan Liu; Liangqiang Li; Hua Yuan (Inf. Process. Manag., 2016)

Finding a representative subset from large-scale documents. - Jin Zhang; Guannan Liu; Ming Ren (J. Informetrics, 2016)

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

Modeling Buying Motives for Personalized Product Bundle Recommendation. - Guannan Liu; 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; Yuan Zuo; Junjie Wu 002 (ICDM, 2018)

Embedding Temporal Network via Neighborhood Formation. - Yuan Zuo; Guannan Liu; 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; 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; Junjie Wu 002; Yong Tan (CoRR, 2018)

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

New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features. - Xiao Yan 001; Guannan Liu; Hsiao-Chun Wu; Guoyu Feng (IEEE Commun. Lett., 2018)

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

Personalized Promotion Recommendation Through Consumer Experience Evolution Modeling. - Cong Wang 043; Guoqing Chen; Qiang Wei 001; Guannan Liu; Xunhua Guo (IFSA/NAFIPS, 2019)

Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks. - Guannan Liu; Liang Zhang (CoRR, 2019)

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

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

Automatic modulation classification in α-stable noise using graph-based generalized second-order cyclic spectrum analysis. - Xiao Yan 001; Guoyu Zhang; Hsiao-Chun Wu; Guannan Liu (Phys. Commun., 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 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; Hui Xiong 001; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2019)

Indoor Object Localization and Tracking Using Deep Learning over Received Signal Strength. - Guannan Liu; Hsiao-Chun Wu; Weidong Xiang; Jinwei Ye; Yiyan Wu 001; Limeng Pu (BMSB, 2020)

Personalized Promotion Recommendation: A Dynamic Adaptation Modeling Approach. - Cong Wang 043; Xunhua Guo; Guannan Liu; Guoqing Chen (ICIS, 2020)

Fraud detection via behavioral sequence embedding. - Guannan Liu; 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; Junjie Wu 002; Hui Xiong 001 (ACM Trans. Intell. Syst. Technol., 2020)

Social Collaborative Mutual Learning for Item Recommendation. - Tianyu Zhu; Guannan Liu; Guoqing Chen (ACM Trans. Knowl. Discov. Data, 2020)

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

Robust Modulation Classification Over $ alpha$-Stable Noise Using Graph-Based Fractional Lower-Order Cyclic Spectrum Analysis. - Xiao Yan 001; Guannan Liu; Hsiao-Chun Wu; Guoyu Zhang; Qian Wang 027; Yiyan Wu 001 (IEEE Trans. Veh. Technol., 2020)

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

Novel Indoor Device-Free Human Tracking Using Learning Systems with Hidden Markov Models. - Guannan Liu; Prasanga Neupane; Hsiao-Chun Wu; Weidong Xiang; Jinwei Ye; Limeng Pu; Shih Yu Chang; Yiyan Wu 001; Kun Yan (BMSB, 2021)

Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting. - Prasanga Neupane; Guannan Liu; Hsiao-Chun Wu; Weidong Xiang; Shih Yu Chang; Yiyan Wu 001 (BMSB, 2021)

Anchor-Free Self-Positioning in Wireless Sensor Networks via Cross-Technology Communication. - Nan Jing; Bowen Zhang; Guannan Liu; Liu Yang; Lin Wang 023 (ICPADS, 2021)

An Investigation of Identity-Account Inconsistency in Single Sign-On. - Guannan Liu; Xing Gao 001; Haining Wang 001 (WWW, 2021)

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

Spatiotemporal representation learning for rescue route selection: An optimized regularization based method. - Xiaolin Li; Xiaotong Niu; Guannan Liu (Electron. Commer. Res. Appl., 2021)

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

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data. - Guannan Liu; Manali Singha; Limeng Pu; Prasanga Neupane; Joseph Feinstein; Hsiao-Chun Wu; J. Ramanujam; Michal Brylinski (J. Cheminformatics, 2021)

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

Automatic Human Posture Recognition Using Kinect Sensors by Advanced Graph Convolutional Network. - Guannan Liu; Rende Xie; Hsiao-Chun Wu; Shih-Hau Fang; Kun Yan; Yiyan Wu 001; Shih Yu Chang (BMSB, 2022)

Ready Raider One: Exploring the Misuse of Cloud Gaming Services. - Guannan Liu; Daiping Liu; Shuai Hao 001; Xing Gao 001; Kun Sun 001; Haining Wang 001 (CCS, 2022)

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

Exploring the Unchartered Space of Container Registry Typosquatting. - Guannan Liu; Xing Gao 001; Haining Wang 001; Kun Sun 001 (USENIX Security Symposium, 2022)

Two-stage anomaly detection algorithm via dynamic community evolution in temporal graph. - Yan Jiang; Guannan Liu (Appl. Intell., 2022)

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

Edge Effects on Simultaneous Reconstructions of Flame Temperature and Soot Volume Fraction Profiles by a CCD Camera. - Jie Li; Hongtao Li; Chen Chen; Guannan Liu; Yaoyao Ying; Tianjiao Li; Dong Liu (Sensors, 2022)

Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother. - Guannan Liu; Prasanga Neupane; Hsiao-Chun Wu; Weidong Xiang; Limeng Pu; Shih Yu Chang (IEEE Syst. J., 2022)

Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy. - Xing Gao 001; Guannan Liu; Zhang Xu; Haining Wang 001; Li Li 064; Xiaorui Wang (IEEE Trans. Dependable Secur. Comput., 2022)

Dial "N" for NXDomain: The Scale, Origin, and Security Implications of DNS Queries to Non-Existent Domains. - Guannan Liu; Lin Jin; Shuai Hao 001; Yubao Zhang; Daiping Liu; Angelos Stavrou; Haining Wang 001 (IMC, 2023)

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

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

Telecom Fraud Detection via Hawkes-Enhanced Sequence Model. - Yan Jiang; Guannan Liu; 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; Junjie Wu 002; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Retrieval Augmented Generation (RAG) Based Restaurant Chatbot with AI Testability. - Vani Bhat; Sree Divya Cheerla; Jinu Rose Mathew; Nupur Pathak; Guannan Liu; Jerry Gao 002 (BigDataService, 2024)

Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering. - Venkata Gadiraju; Hao-Yu Tsai; Hsiao-Chun Wu; Manali Singha; Scott Chih-Hao Huang; Guannan Liu; Shih Yu Chang; Yiyan Wu 001 (BMSB, 2024)

Poster: Acoustic Side-Channel Attack on Robot Vacuums. - Peter Chen; Guannan Liu; Haining Wang 001 (CCS, 2024)

Pathfinder: Exploring Path Diversity for Assessing Internet Censorship Inconsistency. - Xiaoqin Liang; Guannan Liu; Lin Jin; Shuai Hao 001; Haining Wang 001 (CoRR, 2024)

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

Deterring the Gray Market: Product Diversion Detection via Learning Disentangled Representations of Multivariate Time Series. - Hao Lin 002; Guannan Liu; 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; Junjie Wu 002; Yong Tan (Inf. Syst. Res., 2024)

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

Novel Graph-Theoretical Multiple Access-Point/Router Deployment Approach for Full Line-of-Sight Coverage Over Arbitrary Indoor Polygonal/Prismatic Areas. - Venkata Gadiraju; Hsiao-Chun Wu; Hao-Yu Tsai; Scott C.-H. Huang; Costas Busch; Prasanga Neupane; Guannan Liu; Shih Yu Chang (IEEE Trans. Commun., 2024)

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

Code Vulnerability Repair with Large Language Model Using Context-Aware Prompt Tuning. - Arshiya Khan; Guannan Liu; Xing Gao (SP (Workshops), 2025)

Robust Multichannel Decorrelation via Tensor Einstein Product. - Shih-Yu Chang; Hsiao-Chun Wu; Guannan Liu (IEEE Trans. Signal Process., 2025)

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

GDP-Net: Global Dependency-Enhanced Dual-Domain Parallel Network for Ring Artifact Removal. - Yikun Zhang 001; Guannan Liu; Yang Liu; Shipeng Xie; Jiabing Gu; Zujian Huang; Xu Ji; Tianling Lyu; Yan Xi; Shouping Zhu; Jian Yang 009; Yang Chen 008 (IEEE Trans. Medical Imaging, 2025)