MTLM: a multi-task learning model for travel time estimation. - Saijun Xu; Ruoqian Zhang; Wanjun Cheng; Jiajie Xu 001 (GeoInformatica, 2022)

Graph neural network based model for multi-behavior session-based recommendation. - Bo Yu; Ruoqian Zhang; Wei Chen 070; Junhua Fang (GeoInformatica, 2022)

When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction. - Jianyu Ren; Ruoqian Zhang (ADMA (1), 2023)

MEOM: Memory-Efficient Online Meta-recommender for Cold-Start Recommendation. - Yan Luo; Ruoqian Zhang (APWeb-WAIM (2), 2023)

Online meta-learning for POI recommendation. - Yao Lv; Yu Sang; Chong Tai; Wanjun Cheng; Jedi S. Shang; Jianfeng Qu; Xiaomin Chu; Ruoqian Zhang (GeoInformatica, 2023)

GC-TripRec: Graph contextualized generative network with adversarial learning for trip recommendation. - Jinyi Zhao; Junhua Fang; Pingfu Chao; Bo Ning 002; Ruoqian Zhang (World Wide Web (WWW), 2023)

PopGR: Popularity reweighting for debiasing in group recommendation. - Hailun Zhou; Junhua Fang; Pingfu Chao; Jianfeng Qu; Ruoqian Zhang (World Wide Web (WWW), 2024)