CV

Education

• Ph.D in Computer Science and Software Engineering, Auburn University, 2029 (expected)
• M.S. in Engineering in Computer Science, Johns Hopkins University, 2025 (expected)
• M.S. in Computing & Data Science, Boston University, 2024
• B.S. in Computer Science, Rutgers University, 2023

Work experience

• Jan 2026 - Present: PhD Student
  • Auburn University
  • Keywords: TBD
  • Supervisor: Jiaqi Wang
• Sep 2024 - Dec 2025: Graduate Researcher
  • Johns Hopkins University, ARCADE Lab
  • Keywords: Reasoning Segmentation, Video Editing, Video retrieval, MLLM
  • Supervisor: Mathias Unberath
  • PhD Mentor: Yiqing Shen
• Jan 2023 - May 2023: Research Assistant
  • Rutgers University, Art and AI Laboratory
  • Keywords: Diffusion Model, Deep Generative AI
  • Supervisor: Ahmed Elgammal
• Aug 2022 - Dec 2022: Research Assistant
  • Rutgers University
  • Keywords: Textual Analysis, Natural Language Processing
  • Supervisor: Michael Luvalle

Skills

• Programming & Languages
  • Python (NumPy, pandas, SciPy, scikit-learn, PyTorch, HuggingFace, OpenCV)
  • R (ggplot2, statistical modeling)
  • C, Java, JavaScript, MATLAB
  • SQL, MySQL
• AI / Machine Learning
  • Deep learning (PyTorch, HuggingFace Transformers, vLLM)
  • Multimodal reasoning (vision + language models, SAM, LLaVA)
  • Generative models (GANs, diffusion, NeRF)
  • Model evaluation (BERTScore, IoU, causal inference)
  • Tools: wandb, TensorBoard, deepscaler, llmcompressor
• Data Analytics & Visualization
  • Statistics, causal analysis, business analysis, Bayesian Statistics
  • Tableau, Excel, Matplotlib, Seaborn, Plotly
• Languages
  • Mandarin (native), English (advanced), Japanese (advanced)

Publications

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction

Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath. (2025). Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction. Oral presentation at MedAGI 2025.

Online Reasoning Video Segmentation with Just-in-Time Digital Twins

Yiqing Shen, Bohan Liu, Chenjia Li, Lalithkumar Seenivasan, Mathias Unberath. (2025). *Online Reasoning Video Segmentation with Just-in-Time Digital Twins*. arXiv:2503.21056.

Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Yiqing Shen, Chenjia Li, Bohan Liu, Cheng-Yi Li, Tito Porras, Mathias Unberath. (2025). Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins. In Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.

Reasoning Segmentation for Images and Videos: A Survey

Yiqing Shen, Chenjia Li, et al. (2025). "RVTBench: A Benchmark for Visual Reasoning Tasks." arXiv preprint arXiv:2505.18816.

RVTBench: A Benchmark for Visual Reasoning Tasks

Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath. (2025). RVTBench: A Benchmark for Visual Reasoning Tasks. Under revision at NeurIPS 2025. arXiv:2505.11838.