Changwei Hu

34 papers A* 2A 5C 2Misc 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Influences of Language Functions on Linguistic Features: Multi-Dimensional and Entropy Analyses of Academic and Entertainment Registers.
Entropy
Changwei Hu, Yu Zhu, Liangjie Yuan
2023 J jnl
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.
IEEE Trans. Neural Networks Learn. Syst.
Fei Tan, Changwei Hu, Yifan Hu, Kevin Yen, Zhi Wei, Aasish Pappu, Serim Park, Keqian Li
2021 — conf
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation.
IEEE BigData
Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma
2021 — conf
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation.
EMNLP (1)
Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu
2021 J jnl
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation.
CoRR
Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu
2021 — conf
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop.
IEEE BigData
Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen
2021 A conf
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity.
CIKM
Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
2021 J jnl
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity.
CoRR
Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
2021 J jnl
What's in a Name? - Gender Classification of Names with Character Based Machine Learning Models.
CoRR
Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham
2021 J jnl
What's in a name? - gender classification of names with character based machine learning models.
Data Min. Knowl. Discov.
Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham
2020 J jnl
A Deep Structural Model for Analyzing Correlated Multivariate Time Series.
CoRR
Changwei Hu, Yifan Hu, Sungyong Seo
2020 — conf
HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
EMNLP (1)
Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Se Rim Park
2020 J jnl
HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
CoRR
Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Serim Park
2020 J jnl
Large-scale Gender/Age Prediction of Tumblr Users.
CoRR
Yao Zhan, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto
2020 J jnl
Political Posters Identification with Appearance-Text Fusion.
CoRR
Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling
2020 — conf
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
EMNLP (1)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 J jnl
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
CoRR
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 — conf
TNT: Text Normalization based Pre-training of Transformers for Content Moderation.
EMNLP (1)
Fei Tan, Yifan Hu, Changwei Hu, Keqian Li, Kevin Yen
2019 C conf
A Deep Structural Model for Analyzing Correlated Multivariate Time Series.
ICMLA
Changwei Hu, Yifan Hu, Sungyong Seo
2019 C conf
Large-Scale Gender/Age Prediction of Tumblr Users.
ICMLA
Yao Zhang, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto
2017 A* conf
Deep Generative Models for Relational Data with Side Information.
ICML
Changwei Hu, Piyush Rai, Lawrence Carin
2017 — —
Scalable Bayesian Matrix and Tensor Factorization for Discrete Data.
Changwei Hu
2016 A conf
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information.
AISTATS
Changwei Hu, Piyush Rai, Lawrence Carin
2016 A conf
Topic-Based Embeddings for Learning from Large Knowledge Graphs.
AISTATS
Changwei Hu, Piyush Rai, Lawrence Carin
2015 — conf
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings.
NIPS
Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin
2015 J jnl
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data.
CoRR
Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
2015 — conf
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data.
ECML/PKDD (2)
Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
2015 A* conf
Scalable Probabilistic Tensor Factorization for Binary and Count Data.
IJCAI
Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin
2015 J jnl
Unlocking Smart Phone through Handwaving Biometrics.
IEEE Trans. Mob. Comput.
Lei Yang, Yi Guo, Xuan Ding, Jinsong Han, Yunhao Liu, Cheng Wang, Changwei Hu
2015 A conf
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors.
UAI
Changwei Hu, Piyush Rai, Lawrence Carin
2015 J jnl
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors.
CoRR
Changwei Hu, Piyush Rai, Lawrence Carin
2014 A conf
Latent Gaussian Models for Topic Modeling.
AISTATS
Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin
2012 J jnl
A GIS-supported impact assessment of the hierarchical flood-defense systems on the plain areas of the Taihu Basin, China.
Int. J. Geogr. Inf. Sci.
Chaoqing Yu, Xiaotao Cheng, Jim W. Hall, Edward P. Evans, Yanyan Wang, Changwei Hu, Haoyun Wu, Jon Wicks, Mathew Scott, Haitao Sun, Jing Wang, Minglei Ren, Zongxue Xu
2010 Misc conf
Compressed sensing MRI with combined sparsifying transforms and smoothed l0 norm minimization.
ICASSP
Xiaobo Qu, Xue Cao, Di Guo, Changwei Hu, Zhong Chen