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David
Li

Program Director, Data Analytics and Visualization, Department of Graduate Computer Science and Engineering
david.li@yu.edu

Katz School of Science and Health
Yeshiva University
205 Lexington Avenue 6th Floor

New York, NY 10016

I have a broad and deep interest in anything driven by underlying mechanisms, particularly those that can be modeled using mathematics and algorithms. I have published work spanning algorithms, mathematics, statistics, optimization, computational chemistry, quantitative finance, economics, machine learning, deep learning, reinforcement learning, big data and cloud computing. I enjoy working with my students on research projects.

  1. Cross-Lingual Text Augmentation: A Contrastive Learning Approach for Low-Resource Languages, Hang Yu, Ruiming Tian, David Li, IEEE SoutheastCon 2025, Charlotte, NC
  2. Enhancing Ecological Forecasting with LSTM Models: The Impact of Partition-based Data Shuffling on Predictive Accuracy, Zhengnan Li, Juan Francisco Leonhardt Chavez, Shubham Pant, David Li, IEEE SoutheastCon 2025, Charlotte, NC
  3. Adaptive Deep Learning with Batch Feature Re-Engineering and Differential Dynamical Systems, Ruixin Chen, David Li, IEEE SoutheastCon 2025, Charlotte, NC
  4. When a Straight-A Student isn’t the Best: Fuzzy Ranking and Optimization from a Probabilistic Perspective, Angela Li, Xinyan Cui, David Li, CISS 2025, the 59th annual conference of IEEE Information Theory Society, Baltimore, MD
  5. IDOS: Lightweight Nonparametric Outlier Detection Algorithm for Resource-Constrained Applications, Angela Li, Yu Wang, David Li, CISS 2025, Baltimore, MD
  6. A Dynamic Framework for Optimizing Reward Policies in the Sharing Economy, Angela Li, Chengkun Yao, Cheng Li, David Li, CISS 2025, Baltimore, MD
  7. A Dual-Path Deep Learning Framework for Video Quality Assessment: Integrating Multi-Speed Processing and Correlation-Based Loss Functions (Best Regional Paper Award. ), Hang Yu, Ruiming Tian, David Li, IEEE ICCE 2025, the 44th annual conference of IEEE Consumer Technology Society, Las Vegas, NV
  8. A Flexible Generalized Probability Core and Quantitative Strategy Analysis for Game Design, Angela Li, Zhengnan Li, David Li, IEEE ICCE 2025, Las Vegas, NV
  9. Optimizing Customer Targeting Using Reinforcement Learning and Neural Networks for Adaptive Marketing Strategies, Mohammad Zubair Khan, David Li, IEEE ICCE 2025, Las Vegas, NV
  10. Mutual Information Reduction Techniques and Its Applications in Feature Engineering, Ruixin Chen, David Li, IEEE ICCE 2025, Las Vegas, NV
  11. Dynamic Logistic Ensembles With Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification, Mohammad Zubair Khan, David Li, IEEE UEMCON 2024, Yorktown Heights, NY
  12. A Novel Data-Driven Mathematical Framework for Olympic Medal Counting System, Angela Li, Zy Li, David Li, IEEE DDP 2024, New York, NY
david.li@yu.edu

Katz School of Science and Health
Yeshiva University
205 Lexington Avenue 6th Floor

New York, NY 10016

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Deep Reinforcement Learning

Numerical Methods

Data Acquisition & Management

Independent Study