I am currently pursuing the Ph.D. degree at Computing technologies from RMIT University. I am passionate about exploring the intersection of databases and machine learning, with a particular focus on data preparation and database optimization for ML applications. My research involves developing advanced methodologies for data discovery and assemblage, emphasizing the integration of multi-source and multi-modal data within data lakes. My goal is to pioneer next-generation data management technologies that significantly enhance the cost-effectiveness and efficiency of ML pipelines.

EDUCATION

PUBLICATIONS

Conference

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei: Optimizing Data Acquisition to Enhance Machine Learning Performance. Proceedings of the VLDB Endowment (PVLDB), 17(6): 1310-1323 (2024). [Paper]
Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei: Representative Routes Discovery From Massive Trajectories. In the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022): 4059-4069. [Paper]
Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei: Distinctiveness Maximization in Datasets Assemblage. arXiv:2401.00659. [Paper]
Tingting Wang, Lei Duan, Chengxin He, Geng Deng, Ruiqi Qin, Yidan Zhang: ATOM: Construction of Anti-tumor Biomaterial Knowledge Graph by Biomedicine Literature. In: International Conference on Bioinformatics & Biomedicine 2019 (BIBM 2019): 1256-1258. [Paper]

Journal

Tingting Wang, Hui Luo, Zhifeng Bao, and Lei Duan: Dynamic Ridesharing with Minimal Regret: Towards an Enhanced Engagement Among Three Stakeholders. IEEE Transactions on Knowledge and Data Engineering, 35(4): 3712-3726 (2023). [Paper]
Tingting Wang, Lei Duan, Guozhu Dong, and Zhifeng Bao: Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data. ACM Transaction on Knowledge and Data Discovery, 14(5): 62:1-62:26 (2020). [Paper]
Chengxin He, Lei Duan, Guozhu Dong, Jyrki Nummenmaa, Tingting Wang, Tinghai Pang: Efficient mining of concept-hierarchy aware distinguishing sequential patterns. Knowledge-Based Systems, 255: 109710 (2022). [Paper]
Wuli Xu, Lei Duan, Huiru Zheng, Jesse Li-Ling, Weipeng Jiang, Yidan Zhang, Tingting Wang, Ruiqi Qin: An Integrative Disease Information Network Approach to Similar Disease Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(5): 2724-2735 (2023). [Paper]
Yidan Zhang, Lei Duan, Huiru Zheng, Jesse Li-Ling, Ruiqi Qin, Zihao Chen, Chengxin He, Tingting Wang: Mining Similar Aspects for Gene Similarity Explanation Based on Gene Information Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(3): 1734-1746 (2022). [Paper]
Lei Duan, Lu Liu, Guozhu Dong, Jyrki Nummenmaa, Tingting Wang, Pan Qin, Hao Yang: Mining distinguishing customer focus sets from online customer reviews. Computing, 100(4): 335-351 (2018). [Paper]

EXPERIENCE

AWARDS

Data61 PhD Scholarship, 2022-2024
Second-class Scholarship of SCU, 2018-2020
Outstanding Graduate Award of SCU, 2017
National Scholarship of China, 2016
First-class Scholarship of SCU, 2016
Meritorious Winner of MCM/ICM, 2016
Outstanding Student Award of SCU, 2014-2016