CV
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Basics
| Name | Shouren Wang |
| Label | Computer Science Researcher |
| sxw992@case.edu | |
| Phone | 929-302-1790 |
| Url | https://wangshourenwsr.github.io |
| Summary | A Ph.D. student in Computer Science, specializing in Machine Learning, creative AI, and Large Language Models. |
Education
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2024.08 - Present Cleveland, OH
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2021.09 - 2023.05 Brooklyn, NY
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2015.09 - 2019.06 Changsha, China
Bachelor of Engineering
Hunan University
Digital Media Technology (a computer vision, human-computer interaction and video game specialized Software Engineering)
Work
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2023.08 - 2024.07 Research Intern
NYU Game Innovation Lab
Explored the research and methods for creative AI for video games, specifically focusing on developing game-play agents.
- Developed a PPO-based agent for Street Fighter II using deep reinforcement learning
- Extended Stable-Baselines3 to support auxiliary objectives and multi-modal inputs
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2022.09 - 2023.05 M.S. Lab Member
NYU CAN Lab
Worked on a master project exploring Sensorimotor Control and Reinforcement Learning methods.
- Proposed a state-augmentation mechanism to explain CNS's adaptability
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2019.05 - 2020.09 Research and Development Engineer
AsiaInfo Technology
Worked as a QA group member on the CTDI (EDR) project, focusing on performance testing and enhancement.
- Improved project efficiency by optimizing server and probe performance
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2016.07 - 2016.08 Research Technician
Institute of Computing Technology, Chinese Academy of Sciences
Developed a computer vision algorithm using MATLAB and Locality Sensitivity Hashing to retrieve similar images from a large dataset.
Projects
- 2024.09 - Present
Longctx Benchmark V2 for Large Language Models
Developing an advanced benchmark of long-context capable approaches for large language models.
- 2023.09 - Present
Fancy Play Agent
Developed a PPO Deep Reinforcement Learning model as a game-play agent for Street Fighter II. Extended Stable-Baselines3 to support auxiliary objectives and multi-modal inputs.
- Designed curriculum learning for improving agent performance
- 2022.09 - 2023.05
Simulation for Sensorimotor Control
Proposed a state-augmentation mechanism to explain the CNS's ability to adapt to unknown system dynamics in a force field.
- 2023.02 - 2023.05
Majorization Method for Sparse Logistic Regression
Applied Majorization methods to calculate the quadratic upper bound for the log-likelihood objective function with L1 norm and compared optimization techniques.
Publications
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2019.06.01 Deep Learning Approach of Suit Classification Recognition
Textile Research Journal
Research paper on applying deep learning techniques to suit classification and recognition.
Skills
| Programming Languages | |
| Python | |
| Java | |
| MATLAB | |
| C++ |
| Libraries/Frameworks | |
| PyTorch | |
| Stable-Baselines3 | |
| OpenAI Gym | |
| scikit-learn | |
| NumPy | |
| SciPy | |
| pandas | |
| Unity 3D |
| Developer Tools | |
| Git | |
| Slurm | |
| VS Code | |
| Jupyter Notebook |