Cheng Li

TF-Ranking

2019

Learning-to-Rank deals with maximizing the utility of a list of examples presented to the user, with items of higher relevance being prioritized. It has several practical applications such as large-scale search, recommender systems, document summarization …

AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

2019 · Physics in Medicine and Biology

Mammography is one of the most commonly applied tools for early breast cancer screening. Automatic segmentation of breast masses in mammograms is essential but challenging due to the low signal-to-noise ratio and the wide variety …

Classification Trees for Imbalanced Data: Surface-to-Volume Regularization

2021 · Journal of the American Statistical Association

Classification algorithms face difficulties when one or more classes have limited training data. We are particularly interested in classification trees, due to their interpretability and flexibility. When data are limited in one or more of …

Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers

2022 · arXiv (Cornell University)

Large-scale transformer models have become the de-facto architectures for various machine learning applications, e.g., CV and NLP. However, those large models also introduce prohibitive training costs. To mitigate this issue, we propose a novel random …

Learning to Rewrite Prompts for Personalized Text Generation

2024

Facilitated by large language models (LLMs), personalized text generation has become a rapidly growing research direction. Most existing studies focus on designing specialized models for a particular domain, or they require fine-tuning the LLMs to …

Design and Implementation of Teaching Experiment for Reliability Growth Testing

2024

Aim at the general absence of experimental teaching in Reliability Engineering courses in universities, the function and classification of reliability test are analyzed. On this basis, the design and implementation of the teaching experiment for …

Research on Interpretable Recommendation Methods for Civil Aviation Ancillary Services

2024

In the modern civil aviation industry, with the escalating market competition and the increasing diversification of airline profit models, revenue from ancillary services has become a key factor for airlines to enhance their overall revenue …