27 citations · 64 across the 10 of their papers we have counts for
11 papers
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
Fei Tan, Yifan Hu, Kevin Yen +1
Text moderation for user generated content, which helps to promote healthy interaction among users, has been widely studied and many machine learning models have been proposed. In…
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
Shaunak Mishra, Changwei Hu, Manisha Verma +3
Coming up with effective ad text is a time consuming process, and particularly challenging for small businesses with limited advertising experience. When an inexperienced advertise…
What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models
Yifan Hu, Changwei Hu, Thanh Tran +3
Gender information is no longer a mandatory input when registering for an account at many leading Internet companies. However, prediction of demographic information such as gender…
Political Posters Identification with Appearance-Text Fusion
Xuan Qin, Meizhu Liu, Yifan Hu +5
In this paper, we propose a method that efficiently utilizes appearance features and text vectors to accurately classify political posters from other similar political images. The…
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
Bang An, Jie Lyu, Zhenyi Wang +6
The neural attention mechanism plays an important role in many natural language processing applications. In particular, the use of multi-head attention extends single-head attentio…
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Thanh Tran, Yifan Hu, Changwei Hu +4
We present our HABERTOR model for detecting hatespeech in large scale user-generated content. Inspired by the recent success of the BERT model, we propose several modifications to…
Large-scale Gender/Age Prediction of Tumblr Users
Yao Zhan, Changwei Hu, Yifan Hu +4
Tumblr, as a leading content provider and social media, attracts 371 million monthly visits, 280 million blogs and 53.3 million daily posts. The popularity of Tumblr provides great…
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
Changwei Hu, Yifan Hu, Sungyong Seo
Multivariate time series are routinely encountered in real-world applications, and in many cases, these time series are strongly correlated. In this paper, we present a deep learni…
Deep Generative Models for Relational Data with Side Information
Changwei Hu, Piyush Rai, Lawrence Carin
We present a probabilistic framework for overlapping community discovery and link prediction for relational data, given as a graph. The proposed framework has: (1) a deep architect…
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data
Changwei Hu, Piyush Rai, Changyou Chen +2
We present a Bayesian non-negative tensor factorization model for count-valued tensor data, and develop scalable inference algorithms (both batch and online) for dealing with massi…
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors
Changwei Hu, Piyush Rai, Lawrence Carin
We present a scalable Bayesian model for low-rank factorization of massive tensors with binary observations. The proposed model has the following key properties: (1) in contrast to…