A Learning Approach for Topic-Aware Influence Maximization. - Shan Tian; Ping Zhang; Songsong Mo; Liwei Wang 011; Zhiyong Peng 001 (APWeb/WAIM (1), 2019)

Optimizing Impression Counts for Outdoor Advertising. - Yipeng Zhang 002; Yuchen Li 001; Zhifeng Bao; Songsong Mo; Ping Zhang (KDD, 2019)

Minimizing the Spread of Rumor Within Budget Constraint in Online Network. - Songsong Mo; Shan Tian; Liwei Wang 011; Zhiyong Peng 001 (NCTCS, 2019)

ITAA: An Intelligent Trajectory-driven Outdoor Advertising Deployment Assistant. - Yipeng Zhang 002; Zhifeng Bao; Songsong Mo; Yuchen Li 001; Yanghao Zhou (Proc. VLDB Endow., 2019)

Proactive rumor control in online networks. - Ping Zhang; Zhifeng Bao; Yudong Niu; Yipeng Zhang 002; Songsong Mo; Fei Geng; Zhiyong Peng 001 (World Wide Web, 2019)

Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction. - Songsong Mo; Zhifeng Bao; Baihua Zheng; Zhiyong Peng 001 (DASFAA (2), 2020)

Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization. - Shan Tian; Songsong Mo; Liwei Wang 011; Zhiyong Peng 001 (Data Sci. Eng., 2020)

FASTS: A Satisfaction-Boosting Bus Scheduling Assistant. - Songsong Mo; Zhifeng Bao; Baihua Zheng; Zhiyong Peng 001 (Proc. VLDB Endow., 2020)

Towards an Efficient Weighted Random Walk Domination. - Songsong Mo; Zhifeng Bao; Ping Zhang; Zhiyong Peng 001 (Proc. VLDB Endow., 2020)

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters. - Songsong Mo; Zhifeng Bao; Baihua Zheng; Zhiyong Peng 001 (IEEE Trans. Knowl. Data Eng., 2022)

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. - Songsong Mo; Yile Chen 001; Hao Wang 068; Gao Cong; Zhifeng Bao (Proc. ACM Manag. Data, 2023)

RankPQO: Learning-to-Rank for Parametric Query Optimization. - Songsong Mo; Yue Zhao; Zhifeng Bao; Quanqing Xu; Chuanhui Yang; Gao Cong (Proc. VLDB Endow., 2024)