35 citations · 57 across the 6 of their papers we have counts for
7 papers
Self-supervised Representation Learning for Trip Recommendation
Qiang Gao, Wei Wang, Kunpeng Zhang +2
Trip recommendation is a significant and engaging location-based service that can help new tourists make more customized travel plans. It often attempts to suggest a sequence of po…
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +2
In this paper, we present a denoising sequence-to-sequence (seq2seq) autoencoder via contrastive learning for abstractive text summarization. Our model adopts a standard Transforme…
A Two-Phase Approach for Abstractive Podcast Summarization
Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +1
Podcast summarization is different from summarization of other data formats, such as news, patents, and scientific papers in that podcasts are often longer, conversational, colloqu…
Topic-Guided Abstractive Text Summarization: a Joint Learning Approach
Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +2
We introduce a new approach for abstractive text summarization, Topic-Guided Abstractive Summarization, which calibrates long-range dependencies from topic-level features with glob…
A Baseline Analysis for Podcast Abstractive Summarization
Chujie Zheng, Harry Jiannan Wang, Kunpeng Zhang +1
Podcast summary, an important factor affecting end-users' listening decisions, has often been considered a critical feature in podcast recommendation systems, as well as many downs…
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
Fan Zhou, Xovee Xu, Ce Li +3
Quantifying and predicting the long-term impact of scientific writings or individual scholars has important implications for many policy decisions, such as funding proposal evaluat…