Songsong Mo

Publications

Research outputs

Peer-reviewed work in query optimisation, database systems, multimodal data management, graph algorithms, and urban data applications.

Conference presentation years are used for SIGMOD and VLDB entries; formal volume, issue, pages, and DOI are included below. An asterisk indicates equal contribution.

2026

PVLDB
Industry

Towards Industrial-Scale Parametric Query Optimization

Songsong Mo, Quanqing Xu, Xuchen Ding, Yue Zhao, Zhifeng Bao, Chuanhui Yang, and Gao Cong

Proceedings of the VLDB Endowment, 19(12): 4303–4315, 2026. VLDB 2026 Industry Track.

Publication recordCode

ICDE

ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities

Jingyi Yang*, Songsong Mo*, Jiachen Shi, Zihao Yu, Kunhao Shi, Xuchen Ding, and Gao Cong

2026 IEEE 42nd International Conference on Data Engineering, pp. 1–14. Equal contribution

DOIarXivCode

PVLDB

TATA: An Efficient Framework for Task Transfer in Query Plan Representation

Yue Zhao, Songsong Mo, and Gao Cong

Proceedings of the VLDB Endowment, 19(3): 413–425, 2025. VLDB 2026. Contact author

DOIPDFCode

2025

PVLDB

RankPQO: Learning-to-Rank for Parametric Query Optimization

Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, and Gao Cong

Proceedings of the VLDB Endowment, 18(3): 863–875, 2024. VLDB 2025.

DOIPDFCode

2024

SIGMOD

lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries

Songsong Mo, Yile Chen, Hao Wang, Gao Cong, and Zhifeng Bao

Proceedings of the ACM on Management of Data, 1(4), Article 247: 1–26, 2023. ACM SIGMOD 2024.

DOI

2022

IEEE TKDE

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters

Songsong Mo, Zhifeng Bao, Baihua Zheng, and Zhiyong Peng

IEEE Transactions on Knowledge and Data Engineering, 34(9): 4484–4498, 2022.

DOI

2021

PVLDB

Towards an Efficient Weighted Random Walk Domination

Songsong Mo*, Zhifeng Bao*, Ping Zhang*, and Zhiyong Peng

Proceedings of the VLDB Endowment, 14(4): 560–572, 2021. Equal contribution

DOIPDFCode

2020

DSE

Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization

Shan Tian, Songsong Mo, Liwei Wang, and Zhiyong Peng

Data Science and Engineering, 5(1): 1–11, 2020.

DOI

PVLDB
Demo

FASTS: A Satisfaction-Boosting Bus Scheduling Assistant

Songsong Mo, Zhifeng Bao, Baihua Zheng, and Zhiyong Peng

Proceedings of the VLDB Endowment, 13(12): 2873–2876, 2020.

DOIPDF

DASFAA

Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction

Songsong Mo, Zhifeng Bao, Baihua Zheng, and Zhiyong Peng

Database Systems for Advanced Applications, pp. 192–208, 2020.

DOI

2019

WWWJ

Proactive Rumor Control in Online Networks

Ping Zhang, Zhifeng Bao, Yudong Niu, Yipeng Zhang, Songsong Mo, Fei Geng, and Zhiyong Peng

World Wide Web, 22(4): 1799–1818, 2019.

DOI

KDD

Optimizing Impression Counts for Outdoor Advertising

Yipeng Zhang, Yuchen Li, Zhifeng Bao, Songsong Mo, and Ping Zhang

Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1205–1215, 2019. Best Paper Runner-up

DOIPDF

PVLDB
Demo

ITAA: An Intelligent Trajectory-driven Outdoor Advertising Deployment Assistant

Yipeng Zhang, Zhifeng Bao, Songsong Mo, Yuchen Li, and Yanghao Zhou

Proceedings of the VLDB Endowment, 12(12): 1790–1793, 2019.

DOI

APWeb/WAIM

A Learning Approach for Topic-Aware Influence Maximization

Shan Tian, Ping Zhang, Songsong Mo, Liwei Wang, and Zhiyong Peng

Web and Big Data, LNCS 11641: 125–140, 2019.

DOI

NCTCS

Minimizing the Spread of Rumor Within Budget Constraint in Online Network

Songsong Mo, Shan Tian, Liwei Wang, and Zhiyong Peng

Computer Science and Technology, CCIS 1069: 131–149, 2019.

DOI

Profiles

Bibliographic records

Google Scholar · DBLP