I have implemented some reciprocal recommendation models (实现各种互惠推荐模型的算法库，2019-2020)
个人总结并实现的python高级编程知识，包括实现基本操作、并发编程（多线程、多进程和协程）、各种设计模式（单例、装饰器、适配器、工场等，2023）
the code of our paper "Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences For Dynamic Person-Job Fit" (实现十多个人岗匹配模型和动态人岗匹配模型的算法库，2021)
I have implemented the common operations in NLP domain (实现NLP中各种常规操作，如分词、句法、命名实体识别、语义话题模型、爬虫、ElasticSearch和Faiss向量检索，huggingface-transformers完成各种任务，2023)
The code of our paper "D-FS--A Novel Integration Method of Discretization and Feature Selection" (一种离散和特征选择集成方法，2017)
The code of our paper "A Feature Selection Framework Based on Supervised Data Clustering" (一种基于有监督数据聚类的特征选择方法，2017)
I have implemented some Reinforcement Learning methods with Pytorch (实现一些强化学习模型的demo，2022)
the code of our paper "Generalized Collaborative Personalized Ranking for Recommendation". I realize a Collaborative Filtering Framework using Tensorflow (基于TensorFlow实现的协同过滤推荐框架算法库，2018)
I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. （对工业界学术界的CTR推荐调研并实现25个算法模型，2023）
