Kejian Tong

Summary

Kejian Tong is a human^[1]. They worked as a software engineer^[2] and artificial intelligence researcher^[3].

Key Facts

• Kejian Tong worked as a software engineer^[2].
• Kejian Tong worked as an artificial intelligence researcher^[3].
• Kejian Tong's field of work was software engineering^[4].
• Kejian Tong's field of work was artificial intelligence^[5].
• Kejian Tong's field of work was machine learning^[6].
• Kejian Tong's field of work was natural language processing^[7].
• Kejian Tong's field of work was large language model^[8].
• Kejian Tong's field of work was deep learning^[9].
• Kejian Tong's education included a stint at Northeastern University^[10].
• A notable work attributed to Kejian Tong is Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3^[11].
• A notable work attributed to Kejian Tong is FinStack-Net: Hierarchical Feature Crossing and Stacked Ensemble Learning for Financial Fraud Detection^[12].
• A notable work attributed to Kejian Tong is An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction^[13].
• A notable work attributed to Kejian Tong is An Intelligent-Aware Transformer with Domain Adaptation and Contextual Reasoning for Question Answering^[14].
• A notable work attributed to Kejian Tong is Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving^[15].
• A notable work attributed to Kejian Tong is Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering^[16].
• Kejian Tong's instance of is recorded as human^[17].
• Kejian Tong's ORCID iD is recorded as 0009-0002-5127-2711^[18].
• Kejian Tong earned the academic degree of Master of Science^[19].
• Kejian Tong's academic major is recorded as computer science^[20].
• Kejian Tong's official website is recorded as https://kejian-tong.github.io/^[21].
• Kejian Tong's Google Scholar author ID is recorded as JUGvC_oAAAAJ^[22].
• Kejian Tong's interested in is recorded as artificial intelligence^[23].
• Kejian Tong's interested in is recorded as machine learning^[24].
• Kejian Tong's interested in is recorded as natural language processing^[25].
• Kejian Tong's interested in is recorded as deep learning^[26].

Body

Education

Kejian Tong's education included a stint at Northeastern University^[10]. They earned the academic degree of Master of Science^[19].

Career and Affiliations

Recorded occupations include software engineer^[2] and artificial intelligence researcher^[3]. Fields of work include software engineering^[4], a branch of computer science^[27]; artificial intelligence^[5], a type of technology^[28]; machine learning^[6], an academic discipline^[29]; natural language processing^[7], an academic discipline^[30]; large language model^[8], an artificial intelligence model type^[31]; and deep learning^[9].

Works and Contributions

Notable works include Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3^[11], FinStack-Net: Hierarchical Feature Crossing and Stacked Ensemble Learning for Financial Fraud Detection^[12], An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction^[13], An Intelligent-Aware Transformer with Domain Adaptation and Contextual Reasoning for Question Answering^[14], Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving^[15], and Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering^[16].

FAQs

What did Kejian Tong do for work?

Kejian Tong worked as software engineer^[2] and artificial intelligence researcher^[3].

Where did Kejian Tong go to school?

Kejian Tong was educated at Northeastern University^[10].