11 citations · 24 across the 6 of their papers we have counts for
6 papers
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…
Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case
Yufan Li, Jinggang Zhuo, Ling Fan +1
Color is an essential component of graphic design, acting not only as a visual factor but also carrying cultural implications. However, existing research on algorithmic color palet…
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN
Jinggang Zhuo, Ling Fan, Harry Jiannan Wang
With the advancement of deep learning, artificial intelligence (AI) has made many breakthroughs in recent years and achieved superhuman performance in various tasks such as object…
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…