Xiaoguang Li

A Spark-based Incremental Algorithm for Frequent Itemset Mining

2018

Association rule mining plays an important role in many areas, including market basket analysis, intrusion detection, bioinformatics and so on. As an efficient approach of finding frequent itemset among large datasets, several parallel Apriori-based algorithms …

Dual Multi-head Co-attention for Multi-choice Reading Comprehension.

2020 · arXiv (Cornell University)

Multi-choice Machine Reading Comprehension (MRC) requires model to decide the correct answer from a set of answer options when given a passage and a question. Thus in addition to a powerful pre-trained Language Model as …

Dual Sequence Transformer for Query-based Interactive Recommendation

2021

Interactive recommendation has drawn widespread attention from both academia and industry due to its effectiveness in real-world mobile applications. Instead of receiving message passively, customers can exploit further with less effort through generated queries. Usually, …

Pre-training Language Models with Deterministic Factual Knowledge

2022 · arXiv (Cornell University)

Previous works show that Pre-trained Language Models (PLMs) can capture factual knowledge. However, some analyses reveal that PLMs fail to perform it robustly, e.g., being sensitive to the changes of prompts when extracting factual knowledge. …

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Sequential recommender systems aim to model users’ evolving interests from their historical behaviors, and hence make customized time-relevant recommendations. Compared with traditional models, deep learning approaches such as CNN and RNN have achieved remarkable advancements …