About Me
Greeting! I’m Yihong Liu (IPA: /i1/ /xʊŋ2/ /ljoʊ3/; Chinese: 柳一泓), a Ph.D. candidate of Management Science in Information Systems Concentration at the Naveen Jindal School of Management, University of Texas at Dallas.
Research Interests 📑
My research explores the potential of Information Technology (IT) in empowering individuals, communities, organizations, and society by connecting data and decision-making.
I focus on the design and analysis of IT artifacts, particularly in the realm of emergent technologies, to enhance decision-making processes across various contexts.
Education 🏫
Degree | Major |
Concentration | Institution | Date |
---|---|---|---|---|
Ph.D. | Management Science | Information Systems | University of Texas at Dallas (UT Dallas) |
2025 (Expected) |
Bachelor | Management | Information Management and Information Systems | Shanghai University of Finance and Economics (SUFE) |
2019 |
Publications 📚
Working Papers ✍️
- Yihong Liu, Sumit Sarkar, Syam Menon. “Recommending Teams in Online Communities”.
- Under review in Management Science.
- Pelin Atahan, Monica Johar, Yihong Liu, and Sumit Sarkar. “Composing Offer Sets to Maximize Expected Payoffs”.
- Under revision based on feedback from journal submission.
Presentations 👥
- Yihong Liu, Sumit Sarkar, and Syam Menon. ``Collaboration Recommendations in Online Platforms’’. Conference on Information Systems and Technology, Phoenix, U.S. 2023
- Yihong Liu, Sumit Sarkar, and Syam Menon. ``An Incremental Approach to Team Formation’’. INFORMS Annual Meeting, Phoenix, U.S. 2023
- Yihong Liu, Sumit Sarkar, and Syam Menon. ``Collaboration Recommendations for an Online Video Community’’. 19th Annual Big XII+ MIS Research Symposium, Richardson, U.S. 2023
- Yihong Liu, Sumit Sarkar. ``Performance-Based Team Formation: Collaboration Recommendations in an Online Video Community’’. Workshop on Information Technology and Systems, Copenhagen, Denmark 2022
- Yihong Liu. ``Performance-Based Team Formation: Collaboration Recommendations in an Online Video Community’’. INFORMS Annual Meeting, Indianapolis, U.S. 2022
- Yihong Liu, Yang Bao, and Hui Fang. “SCNetworkViz: A Web-Based System for Interactive Visualization of Supply Chain Network”. Workshop on Information Technology and Systems, Santa Clara, CA, U.S. 2018. Demo website.
Teaching 🦉
As an educator, I draw inspiration from the profound impact teaching can have on shaping the future of students. Through my own educational journey, I have firmly embraced the belief that education serves as the key to unlocking a multitude of opportunities. Thus, as an educator, I am dedicated to equipping students with crucial IT skills and business knowledge for their academic and professional success.
Instructor at UT Dallas
Year | Semester | Section | Level | Class Title | Credit | Mode | Enroll | Syllabus | Course Excellence (CE) | CE Dept. Average | Instructor Excellence (IE) | IE Dept. Average | Response Rate (RR) | RR Dept. Average | Eval Report |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | Spring | ITSS3300.005.24S | UGRD | Information Technology for Business | 3 | In-person | 65 | Link | 4.53/5 | 4.03 | 4.73/5 | 4.10 | 47.69% | 27.63% | Link |
2023 | Fall | ITSS3300.005.23F | UGRD | Information Technology for Business | 3 | In-person | 63 | Link | 4.64/5 | 3.96 | 4.82/5 | 4.09 | 36.51% | 28.31% | Link |
2022 | Fall | ITSS3300.010.22F | UGRD | Information Technology for Business | 3 | In-person | 56 | Link | 3.9/5 | 3.82 | 3.64/5 | 3.85 | 35.71% | 26.37% | Link |
Graduate Teaching Assistant at UT Dallas
Since joining UT Dallas in 2019, I have served as a teaching assistant for nearly twenty courses, spanning bachelor to Ph.D. levels. I have experience in diverse modalities, including in-person, online, and hybrid formats.
The table below highlights some courses for which I was responsible:
Year | Semester | Section | Level | Class Title | Instructor | Credit | Mode | Total Enrollment |
---|---|---|---|---|---|---|---|---|
2024 | Summer | ITSS3390.5U1.24U | UGRD | Web Design and Development for Business Applications | Angela Neal | 3 | In-person | 17 |
2024 | Summer | ITSS4330.5U1.24U | UGRD | Systems Analysis and Design | Taimur Khan | 3 | In-person | 49 |
2024 | Summer | ITss4352.5U1.24U | UGRD | Introduction to Web Analytics | Angela Neal | 3 | In-person | 35 |
2023 | Summer | ITSS4370.5U1.23U | UGRD | Information Technology Infrastructure | John Young | 3 | In-person | 50 |
2023 | Summer | ITSS4330.5U1.23U | UGRD | Systems Analysis and Design | Taimur Khan | 3 | In-person | 26 |
2023 | Summer | BUAN6341.5U1.23U | GRAD | Applied Machine Learning | Muhammad Sabir | 3 | In-person | 10 |
2023 | Spring | ITSS4362.501.23S | UGRD | Cybersecurity Governance | Taimur Khan | 3 | In-person | 60 |
2023 | Spring | ITSS4330.501.23S | UGRD | Systems Analysis and Design | Taimur Khan | 3 | In-person | 60 |
2023 | Spring | FIN6392.0W1.23S | GRAD | Financial Technology and Blockchain | Zhiqiang Zheng | 3 | Online | 34 |
2021 | Spring | ITSS4362.501.21S | UGRD | Cybersecurity Governance | Taimur Khan | 3 | In-person | 43 |
2021 | Spring | ITSS4330.501.21S | UGRD | Systems Analysis and Design | Taimur Khan | 3 | In-person | 52 |
2021 | Spring | MECO6360.001.21S | GRAD | Topics in Industrial Organization | Jianqing Chen | 3 | Online | 8 |
2021 | Spring | BUAN6356.002.21S | GRAD | Business Analytics With R | Jianqing Chen | 3 | Online | 12 |
2020 | Fall | ITSS4320.002.20F | UGRD | Introduction to Healthcare Information Systems | Mark Moonesinghe | 3 | Online | 59 |
2020 | Fall | ITSS4330.002.20F | UGRD | Systems Analysis and Design | Taimur Khan | 3 | Online | 56 |
2020 | Fall | ITSS3300.014.20F | UGRD | Information Technology for Business | Norman Thompson | 3 | Hybrid | 65 |
2020 | Spring | ITSS3300.004.20S | UGRD | Information Technology for Business | Prakash Shrivastava | 3 | In-person | 60 |
2020 | Spring | MIS6384.501.20S | GRAD | Preparing for Cybersecurity Threats | Tejas Shroff | 3 | In-person | 15 |
2019 | Fall | MIS6363.001.19F | GRAD | Cloud Computing | Liugen Song | 3 | In-person | 46 |
2019 | Fall | MIS6313.MBP.19F | GRAD | Managing IT in the Analytics Age | Vijay Mookerjee | 3 | In-person | 56 |
2019 | Fall | MIS6204.591.19F | GRAD | Information Technology for Management | Vijay Mookerjee | 2 | In-person | 22 |
Undergraduate Teaching Assistant at SUFE
Year | Semester | Level | Class Title | Instructor | Mode |
---|---|---|---|---|---|
2018 | August | GRAD | Business Intelligence & Data Analytics | Beibei Li | In-person |
2018 | July | GRAD | Statistical Theory of Deep Learning | Ye Luo | In-person |
Recognition 🎀
- Selection to Doctoral Consortium, International Conference on Information Systems, 2023 Participation Certificate
- Finalist, The Three Minute Thesis Competition, UT Dallas, 2024
- Outstanding Graduates of Shanghai, Shanghai Municipal Education Commission, 2019
- Yinyu Ye Scholarship, SUFE, 2018
- The Third Prize of People’s Scholarship, SUFE, 2017-2018 Semester
- The Second Prize of People’s Scholarship, SUFE, 2016-2017 Semester
- Excellent Learning Performance Prize, SUFE, 2016-2017 Semester
- The Third Prize of People’s Scholarship, SUFE, 2015-2016 Semester
Certificates 📜
- Certificate in Effective Teaching Practice Framework, Association of College and University Educators & American Council on Education, 2024 verification | info
- Advanced Graduate Teaching Certificate, Center for Teaching and Learning, UT Dallas, 2023 info
- Graduate Teaching Certificate, Center for Teaching and Learning, UT Dallas, 2021 info
Campus Talks 🎙️
- Panelist, Undergraduate Research Info Session, Freshman Mentor Program, UT Dallas, 2024
- Panelist, Flight Plan: Critical Information for New TAs and RAs, Office of Graduate Education, UT Dallas, 2023
Early Background 🍼
My interest in MIS sprouted in high school when I watched The Social Network, a movie about an undergraduate named Zuckerberg who revolutionized modern communication by building a social website. The innovative idea of employing information technology to link people online and make the world a big party motivated me to explore this field. Consequently, I acknowledged information technology as a challenging but influential field. I could utilize up-to-date technologies to discover the digital world and tackle critical issues encountered in various domains.
My interest in MIS continued to grow in my first undergraduate class in Machine Learning after I learned the power and commercial value of Facebook. Different unsupervised and supervised algorithms immediately captured my attention. I cannot help learning more in-depth algorithms and putting them into practice. As my undergraduate progressed, I enrolled in the School of Information Management and Engineering (SIME) Honors Program at Shanghai University of Finance and Economics (SHUFE). This program provided me with a higher-level curriculum (e.g., Linear and Nonlinear Programming, Advanced Operation Research, and Stochastic Processes).
The most valuable trait I learned from my undergraduate study is always maintaining a thirst for knowing more. When I practiced what I learned in lessons or tried out new skills from the latest research papers, I always found certain limitations of my current knowledge. My hungry mind encouraged me to discover more. My endeavor to review extensive literature, derive math formulas, and conduct experiments was worth the effort as I made continuous progress.
Besides the satisfaction I earned, I realize that MIS is not merely about programming and importing modules and packages. As the lifeblood of business, researchers in this field involve themselves in behavioral, technical, analytical, and empirical sub-problems by recognizing and conceptualizing critical key questions and employing various methodologies across disciplines.