David Li

According to our database, David Li authored at least 12 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Dual-Path Deep Learning Framework for Video Quality Assessment: Integrating Multi-Speed Processing and Correlation-Based Loss Functions.

Hang Yu, Ruiming Tian, David Li

Proceedings of the IEEE International Conference on Consumer Electronics, 2025

A Flexible Generalized Probability Core and Quantitative Strategy Analysis for Game Design.

Angela Li, Zhengnan Li, David Li

Proceedings of the IEEE International Conference on Consumer Electronics, 2025

Optimizing Customer Targeting Using Reinforcement Learning and Neural Networks for Adaptive Marketing Strategies.

Mohammad Zubair Khan, David Li

Proceedings of the IEEE International Conference on Consumer Electronics, 2025

Mutual Information Reduction Techniques and its Applications in Feature Engineering.

Ruixin Chen, David Li

Proceedings of the IEEE International Conference on Consumer Electronics, 2025

A Dynamic Framework for Optimizing Reward Policies in the Sharing Economy.

Angela Li, Chengkun Yao, Cheng Li, David Li

Proceedings of the 59th Annual Conference on Information Sciences and Systems, 2025

IDOS: Lightweight Nonparametric Outlier Detection Algorithm for Resource-Constrained Applications.

Angela Li, Yu Wang, David Li

Proceedings of the 59th Annual Conference on Information Sciences and Systems, 2025

When a Straight-A Student isn't the Best: Fuzzy Ranking and Optimization from a Probabilistic Perspective.

Angela Li, Xinyan Cui, David D. Li

Proceedings of the 59th Annual Conference on Information Sciences and Systems, 2025

Physics-Guided Gradient Boosting Under Distributed PDE Constraints: A Unified Theoretical Framework for Scalable Spatiotemporal Learning.

David Li, Angela Li

Proceedings of the IEEE International Conference on Big Data, 2025

Reinforcement Learning-Driven Stochastic Control for Scalable Incentive Optimization in Big Data Platforms.

Angela Li, David Li

Proceedings of the IEEE International Conference on Big Data, 2025

Reward-Aware Shapley Compensation: a Probabilistic and Game-Theoretic Approach in Cooperative Sharing Economies.

Angela Li, David Li

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification.

Mohammad Zubair Khan, David Li

Proceedings of the 15th IEEE Annual Ubiquitous Computing, 2024

Modeling dynamic elasticity on intraday volatility and volume by finding PDEs using machine learning.

David D. Li, Angela Li, Rodger Mensing, Zy Li

Proceedings of the IEEE World AI IoT Congress, 2024