How "small" reflects "large"? - Representative information measurement and extraction. - Guoqing Chen; Cong Wang 043; Mingyue Zhang 001; Qiang Wei 001; Baojun Ma (Inf. Sci., 2018)

A temporal consistency method for online review ranking. - Cong Wang 043; Guoqing Chen; Qiang Wei 001 (Knowl. Based Syst., 2018)

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

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

Training Personalized Recommender Systems with Biased Data: A Joint Likelihood Approach to Modeling Consumer Self-selection Behaviors. - Yansong Shi; Cong Wang 043; Xunhua Guo; Guoqing Chen (ICIS, 2021)

Inferring multi-stage risk for online consumer credit services: An integrated scheme using data augmentation and model enhancement. - Jilei Zhou; Cong Wang 043; Fei Ren; Guoqing Chen (Decis. Support Syst., 2021)

Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach. - Xunhua Guo; Guoqing Chen; Cong Wang 043; Qiang Wei 001; Zunqiang Zhang (INFORMS J. Comput., 2021)

A Review Selection Method for Finding an Informative Subset from Online Reviews. - Jin Zhang 017; Cong Wang 043; Guoqing Chen (INFORMS J. Comput., 2021)

TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion. - Yiheng Sun; Tian Lu; Cong Wang 043; Yuan Li; Huaiyu Fu; Jingran Dong; Yunjie Xu (AAAI, 2022)

Personalized Recommendation through Disentangled Representation Learning of Consumers' Multiple Digital Footprints. - Yansong Shi; Cong Wang 043; Xunhua Guo; Guoqing Chen (ICIS, 2022)

Theory-driven Bilateral Dynamic Preference Learning for Person and Job Match: A Process-oriented Multi-step Multi-objective Method. - Xiaowei Shi; Cong Wang 043; Qiang Wei 001 (ICIS, 2023)

Modeling silent behavior for synthesizing analysts' earnings forecasts: a joint likelihood approach. - Enze Jin; Cong Wang 043; Kai Guo; Xunhua Guo; Bin Ke (PACIS, 2023)

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks. - Junlong Liao; Wenda Fu; Cong Wang 043; Zhongyu Wei; Jiarong Xu (AAAI, 2024)

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data. - Hanyang Yuan; Jiarong Xu; Cong Wang 043; Ziqi Yang; Chunping Wang 001; Keting Yin; Yang Yang 009 (KDD, 2024)

Decoding User Engagement: A Mutual Information-Enhanced Multi-Task Learning Framework for Predicting Engagement on Social Media. - Xinpei Yao; Cong Wang 043; Xunhua Guo (PACIS, 2025)