TINGTING WANG

tingting.wang@student.rmit.edu.au

I am currently pursuing the Ph.D. degree at Computing technologies from RMIT University under the surpervison of Prof. Zhifeng Bao and Prof. Shane Culpepper. My research interests include database management, data mining, urban data analytics, and spatial computing.

EDUCATION

Sichuan University (SCU)

September 2017 - June 2020

Master in School of Computer Science
Supervisors: Prof. Lei Duan
GPA: 84.5/100

Sichuan University (SCU)

September 2013 - June 2017

Bachelor in School of Computer Science, first class honours
GPA: 91.0/100

PUBLICATIONS

Conference

    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, 2022: 1-14. [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, 2020, 14(5): 62:1-62:26. [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, 2021: 1-13. [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, 2020: 1-13. [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, 2018, 100(4): 335-351. [Paper]

ONGOING PROJECTS

Intelligent Transportation

Intelligent transportation system aims to provide innovative services related to different transportation modes and trajectory planning, which enable riders to have safe, convenient and economic friendly trips. Among a lot of transportation strategies, we aim to study a promising service: ridesharing, which can encourage users with similar itineraries and time schedules to share their trips. Such service can save money, reduce traffic congestion and increase car seat utilization, which can bring win-win benefit among drivers and riders. In our research, we aim to study how to find a bilateral matching between a set of drivers and riders under a series of spatial-temporal constraints dynamicly.

EXPERIENCE

Project Experience

Alienation Mechanism Mining from High-Dimensional Objects

National Natural Science Foundation of China

2017.9 - 2019.12

- Collect literature about outlying aspect mining for multi-source temporal data to write a review.
- Discover and visualize customer focus sets between customer reviews of items. Such customer focus sets can be used for online shopping decision support.
- Propose an effective algorithm to discover shared properties of items from online reviews. It measures the item similarity from the user perspective to recommend interesting items for users.
- Study the problem of detecting changed user behaviors from activity data. It discovers the alienation mechanism of user behaviors, which helps to monitor special users like patients with mental illness.

Discovering Outlying Subspaces from Multi-source Temporal Data

National Natural Science Foundation of China

2019.2 - 2020.6

- Propose an effective algorithm to mine outlying sequence patterns for sequence data. It finds the hidden differences among sequence data, which plays an important role in many fields like disease detection.

Biomedical Materials Genome Engineering Database Project

National Key R & D Program of China

2018.1 - 2020.6

- Serve as a back-end developer. The specific work is to build the communication between the back-end and the front-end for the query feedback.
- Use data mining techniques to analyze biomedical material data, such as applying frequent pattern mining methods to find some common features of osteoinductive materials.
- Construct a biomedical material knowledge graph from biomedical material literature by using natural language processing techniques.

Job Experience

Research Assistant in KDDE Lab

July 2020 - June 2021

Sichuan University, China

AWARDS

    RMIT STEM Scholarship, 2021-present
    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

SKILLS

Programming

JAVA (proficient), Python (familiar), C/C++ (familiar), Matlab (basic)

Languages

Mandarin Chinese (native), English (fluent)