Li Ding

An improved algorithm of Ground Moving Target Tracking based on Obstacle Information

2021

Standard Interactive Multimodal Model Algorithms (IMM) have problems such as poor model probability matching, slow model switching and poor tracking accuracy due to the use of fixed transition probability matrices. This paper presents an IMM …

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

2021

Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications in areas such as security, finance, and social media. Existing network embedding based methods have mostly focused on learning good node representations, …

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

2023 · arXiv (Cornell University)

Reinforcement Learning from Human Feedback (RLHF) has shown potential in qualitative tasks where easily defined performance measures are lacking. However, there are drawbacks when RLHF is commonly used to optimize for average human preferences, especially …

DALex: Lexicase-like Selection via Diverse Aggregation

2024 · arXiv (Cornell University)

Lexicase selection has been shown to provide advantages over other selection algorithms in several areas of evolutionary computation and machine learning. In its standard form, lexicase selection filters a population or other collection based on …

XFMP: A Benchmark for Explainable Fine-Grained Abnormal Behavior Recognition on Medical Personal Protective Equipment

2024 · IEEE Transactions on Circuits and Systems for Video Technology

The proper use of medical personal protective equipment (MPPE) is critical for frontline healthcare workers (HCWs) to handle highly contagious diseases. Due to the complexity of PPE donning and doffing protocols, public health organizations typically …