Dr Yipeng Zhang
Dr. Yipeng Zhang received the Ph.D. Degree in computer science from RMIT University, Australia, in 2023. He is a research fellow at CSIRO Data61. His research interests include combinatorial optimization, facility location problem, and machine learning.
Email: yipeng.zhang.cd@gmail.com
News
2020.03: I am invited to present our work "Optimizing Impression Counts for Outdoor Advertising" on GTC 2020 by NVIDIA
Honours and Awards
International
2019 Best Paper Award Runner-up of ACM SIGKDD 2019 (1 out of 110 accepted papers)
ACM SIGKDD 2019 Student Travel Grant
2018 Best Paper Award Nomination of ACM SIGKDD 2018
Australasian
2020 Google PhD Fellowship Nomination
2019 Google PhD Fellowship Nomination
University-level
2020 Outstanding Research Achievement Award
2019 Deputy Vice-Chancellor Higher Degree by Research Prize Nomination @ RMIT
2018 Best Minor Thesis Award of RMIT University Information Technology, 2018
Publications
1. Y. Zhang, Y. Li, Z. Bao, B. Zheng, H. V. Jagadish. Minimizing the Regret of an Influence. ACM International Conference on Management of Data (SIGMOD) 2021. (CORE&ERA Tier-A*)
2. Y. Zhang, Z. Bao, S. Mo, Y. Li, Y. Zhou. ITAA: An Intelligent Trajectory-driven Outdoor Advertising Deployment Assistant. 45th International Conference on Very Large Data Bases (VLDB) 2019. (CORE&ERA Tier-A*) Video
3. Y. Zhang, Y. Li, Z. Bao, S. Mo, P. Zhang. Optimizing Impression Counts for Outdoor Advertising. 25th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD) 2019. (CORE&ERA Tier-A*) (Best Paper Awards - Runner Up) Slides , Video
4. P. Zhang, Z. Bao, Y. Li, Z. Peng, Y. Zhang. Towards an Optimal Outdoor Advertising Placement: When a Budget Constraint Meets Moving Trajectories. ACM Transactions on Knowledge Discovery from Data (TKDD) 2018.
5. P. Zhang, Z. Bao, Y. Li, Z. Peng, Y. Zhang. Trajectory-driven Influential Billboard Placement. 24th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD) 2018. (CORE&ERA Tier-A*) (Best Paper Award Nomination) Video
6. P. Zhang, Z. Bao, Y. Niu, Y. Zhang, S. Mo, F. Geng, Z. Peng. Proactive Rumor control in Online Networks. World Wide Web Journal (WWWJ) 2018. (CORE&ERA Tier-A)
7. S. Wang, M. Li, Y. Zhang, Z. Bao, D. Tedjopurnomo, X. Qin. Trip Planning by an Integrated Search Paradigm. ACM International Conference on Management of Data (SIGMOD) 2018. (CORE&ERA Tier-A*) Video
8. Y. Zhang, P. Zhang, Z. Bao, Z. Xie,Q. Liu, B. Zhang. Finding Influential Nodes by a Fast Marginal Ranking Method. 29th Australasian Database Conference (ADC) 2018.
Professional Services
PC member: CIKM 2021
External reviewer: KDD 2020, TKDE 2020, KDD 2019, VLDB 2019, ICDE 2019, CPE 2019, JCST 2019, TKDE 2018, DASFAA 2018, EDBT 2018.
Volunteer: KDD 2019.
Research Areas
Algorithm; Data Management; Data Mining.