CV

Education

Ph.D in Computer Science, Syracuse University, 2021 (expected)
- Advised by Dr. Reza Zafarani
M.S. in Computer Science, Syracuse University, 2016
B.S. in Mathematics, Fudan University, 2010

Awards and Grants

2020
- Syracuse University ECS Research Day Best Poster
- KDD 2020 Student Registration Award
2019
- ICDM 2019 Student Travel Award
- Syracuse University Travel Grant
2018
- ICDM 2018 Student Travel Award
- Syracuse University Travel Grant
2017
- CIKM’17/SIGIR Student Travel Grant
- Syracuse University Travel Grant
2016
- Outstanding Graduate Student in Computer Science (awarded only to one student in the college of engineering)

Work experience

Summer 2020: Applied Scientist Intern
- Amazon
- Applied graph embedding techniques to improve the widget ranking system of the Penalization group.
- Supervisor: Brent Payne
Summer 2015: Research Intern
- University of Rochester, NY
- Built a personalized recommendation system to recommend papers, books, collaborators etc.for researchers.
- Supervisor: Canglin Wu
2013 - 2014: Infrastructure Specialist
- IBM, Shanghai
- Designed and deployed the Big Data Infrastructure solutions IBM System Technology Group.
- Supervisor: Jianhua Rui
2010 - 2013: Software Engineer
- eBay, Shanghai (DX team)
- Built systems and machine learning models to drive significant amount of traffic to eBay sites across multiple marketing channels. Developed tools and enhancements to help driveand optimize ROI (Return On Investment) for the business.
- Supervisor: Peijun Xu/Kang Liu

Skills

Programming
- Python, Matlab
- Java, C++
- Julia, Shell Script
Distributed Platform
- Hadoop
- Hive, HBase
- Zookeeper
Database
- Oracle, MySQL,Teradata
Tools
- Docker, Git

Publications

Emotions in social networks: Distributions, patterns, and models.

Shengmin Jin and Reza Zafarani. "Emotions in social networks: Distributions, patterns, and models." Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM). ACM, 2017.

Sentiment Prediction in Social Networks.

Shengmin Jin and Reza Zafarani. "Sentiment Prediction in Social Networks." 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018.

Representing Networks with 3D Shapes.

Shengmin Jin and Reza Zafarani. "Representing Networks with 3D Shapes." 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018.

Network Identification and Authentication.

Shengmin Jin, Vir Phoha and Reza Zafarani. "Network Identification and Authentication" 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019.

WebShapes: Network Visualization with 3D Shapes.

Shengmin Jin, Richard Wituszynski, Max Caiello-Gingold, and Reza Zafarani. "WebShapes: Network Visualization with 3D Shapes." Proceedings of the 13th International Conference on Web Search and Data Mining. 2020.

A Probabilistic Cascading Failure Model for Dynamic Operating Conditions.

Ma, Rui, Shengmin Jin, Sara Eftekharnejad, Reza Zafarani, and Wolf Peter Jean Philippe. "A Probabilistic Cascading Failure Model for Dynamic Operating Conditions." IEEE Access 8 (2020): 61741-61753.

SGCN: A Graph Sparsifier Based on Graph Convolutional Networks.

Li, Jiayu, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, and Reza Zafarani. "SGCN: A Graph Sparsifier Based on Graph Convolutional Networks." Advances in Knowledge Discovery and Data Mining 12084: 275.

Noise-Enhanced Community Detection.

Abdolazimi, Reyhaneh, Shengmin Jin, and Reza Zafarani. "Noise-Enhanced Community Detection." Proceedings of the 31st ACM Conference on Hypertext and Social Media. 2020.

Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You?

Zhou, Xinyi, Shengmin Jin, and Reza Zafarani. "Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You?."In Proceedings of the International AAAI Conference on Web and Social Media, vol. 14, pp. 798-807. 2020.

Graph-based Identification and Authentication: A Stochastic Kronecker Approach

Shengmin Jin, Vir Phoha and Reza Zafarani. "Graph-based Identification and Authentication: A Stochastic Kronecker Approach." IEEE Transactions on Knowledge and Data Engineering. 2020.

The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments

Shengmin Jin, and Reza Zafarani. "The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020.

A Spectral Representation of Networks: The Path of Subgraphs

Shengmin Jin, Hao Tian, Jiayu Li, and Reza Zafarani. "A Spectral Representation of Networks: The Path of Subgraphs." In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 698-708. 2022.

Shengmin Jin

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