most citedModeling of User Portrait Through Social Media

38 citations · 77 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CR2022★ 14 cited

A Survey of Neural Trojan Attacks and Defenses in Deep Learning

Jie Wang, Ghulam Mubashar Hassan, Naveed Akhtar

Artificial Intelligence (AI) relies heavily on deep learning - a technology that is becoming increasingly popular in real-life applications of AI, even in the safety-critical and h…

cs.CL2019★ 4 cited

An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation

Liming Deng, Jie Wang, Hangming Liang +5

Owing to its unique literal and aesthetical characteristics, automatic generation of Chinese poetry is still challenging in Artificial Intelligence, which can hardly be straightfor…

cs.SI2019★ 2 cited

Cross-Platform Modeling of Users' Behavior on Social Media

Haiqian Gu, Jie Wang, Ziwen Wang +3

With the booming development and popularity of mobile applications, different verticals accumulate abundant data of user information and social behavior, which are spontaneous, gen…

cs.SI2019★ 38 cited

Modeling of User Portrait Through Social Media

Haiqian Gu, Jie Wang, Ziwen Wang +2

Nowadays, massive useful data of user information and social behavior have been accumulated on the Internet, providing a possibility of profiling user's personality traits online.…

eess.AS2019★ 3 cited

Audio-Based Music Classification with DenseNet And Data Augmentation

Wenhao Bian, Jie Wang, Bojin Zhuang +3

In recent years, deep learning technique has received intense attention owing to its great success in image recognition. A tendency of adaption of deep learning in various informat…

cs.CL2019★ 5 cited

Automatic Conditional Generation of Personalized Social Media Short Texts

Ziwen Wang, Jie Wang, Haiqian Gu +2

Automatic text generation has received much attention owing to rapid development of deep neural networks. In general, text generation systems based on statistical language model wi…

cs.CL2019★ 3 cited

A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics

Xu Lu, Jie Wang, Bojin Zhuang +2

This paper presents a novel, syllable-structured Chinese lyrics generation model given a piece of original melody. Most previously reported lyrics generation models fail to include…

cs.CL2019★ 1 cited

Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines

Haoshen Fan, Jie Wang, Bojin Zhuang +2

As one of the quintessence of Chinese traditional culture, couplet compromises two syntactically symmetric clauses equal in length, namely, an antecedent and subsequent clause. Mor…

cs.CL2019★ 1 cited

A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation

Haoshen Fan, Jie Wang, Bojin Zhuang +2

In this paper, we comprehensively study on context-aware generation of Chinese song lyrics. Conventional text generative models generate a sequence or sentence word by word, failin…

cs.CL2019★ 1 cited

Deep learning based mood tagging for Chinese song lyrics

Jie Wang, Yilin Yang

Nowadays, listening music has been and will always be an indispensable part of our daily life. In recent years, sentiment analysis of music has been widely used in the information…

cs.CL2019★ 5 cited

Theme-aware generation model for chinese lyrics

Jie Wang, Xinyan Zhao

With rapid development of neural networks, deep-learning has been extended to various natural language generation fields, such as machine translation, dialogue generation and even…