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Changwei Hu
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2020 – today
- 2023
- [j4]Fei Tan, Changwei Hu, Yifan Hu, Kevin Yen, Zhi Wei, Aasish Pappu, Serim Park, Keqian Li:
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7014-7023 (2023) - 2021
- [j3]Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham:
What's in a name? - gender classification of names with character based machine learning models. Data Min. Knowl. Discov. 35(4): 1537-1563 (2021) - [c18]Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma:
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. IEEE BigData 2021: 5950-5952 - [c17]Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen:
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. IEEE BigData 2021: 5953-5955 - [c16]Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko:
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. CIKM 2021: 4036-4045 - [c15]Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu:
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation. EMNLP (1) 2021: 8667-8675 - [i10]Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham:
What's in a Name? - Gender Classification of Names with Character Based Machine Learning Models. CoRR abs/2102.03692 (2021) - [i9]Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko:
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. CoRR abs/2108.08226 (2021) - [i8]Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu:
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation. CoRR abs/2109.08805 (2021) - 2020
- [c14]Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) 2020: 236-255 - [c13]Fei Tan, Yifan Hu, Changwei Hu, Keqian Li, Kevin Yen:
TNT: Text Normalization based Pre-training of Transformers for Content Moderation. EMNLP (1) 2020: 4735-4741 - [c12]Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Se Rim Park:
HABERTOR: An Efficient and Effective Deep Hatespeech Detector. EMNLP (1) 2020: 7486-7502 - [i7]Changwei Hu, Yifan Hu, Sungyong Seo:
A Deep Structural Model for Analyzing Correlated Multivariate Time Series. CoRR abs/2001.00559 (2020) - [i6]Yao Zhan, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto:
Large-scale Gender/Age Prediction of Tumblr Users. CoRR abs/2001.00594 (2020) - [i5]Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR abs/2009.09364 (2020) - [i4]Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Serim Park:
HABERTOR: An Efficient and Effective Deep Hatespeech Detector. CoRR abs/2010.08865 (2020) - [i3]Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling:
Political Posters Identification with Appearance-Text Fusion. CoRR abs/2012.10728 (2020)
2010 – 2019
- 2019
- [c11]Changwei Hu, Yifan Hu, Sungyong Seo:
A Deep Structural Model for Analyzing Correlated Multivariate Time Series. ICMLA 2019: 69-74 - [c10]Yao Zhang, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto:
Large-Scale Gender/Age Prediction of Tumblr Users. ICMLA 2019: 712-717 - 2017
- [b1]Changwei Hu:
Scalable Bayesian Matrix and Tensor Factorization for Discrete Data. Duke University, Durham, NC, USA, 2017 - [c9]Changwei Hu, Piyush Rai, Lawrence Carin:
Deep Generative Models for Relational Data with Side Information. ICML 2017: 1578-1586 - 2016
- [c8]Changwei Hu, Piyush Rai, Lawrence Carin:
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. AISTATS 2016: 1124-1132 - [c7]Changwei Hu, Piyush Rai, Lawrence Carin:
Topic-Based Embeddings for Learning from Large Knowledge Graphs. AISTATS 2016: 1133-1141 - 2015
- [j2]Lei Yang, Yi Guo, Xuan Ding, Jinsong Han, Yunhao Liu, Cheng Wang, Changwei Hu:
Unlocking Smart Phone through Handwaving Biometrics. IEEE Trans. Mob. Comput. 14(5): 1044-1055 (2015) - [c6]Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin:
Scalable Probabilistic Tensor Factorization for Binary and Count Data. IJCAI 2015: 3770-3776 - [c5]Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin:
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings. NIPS 2015: 3222-3230 - [c4]Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin:
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. ECML/PKDD (2) 2015: 53-70 - [c3]Changwei Hu, Piyush Rai, Lawrence Carin:
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. UAI 2015: 375-384 - [i2]Changwei Hu, Piyush Rai, Lawrence Carin:
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. CoRR abs/1508.04210 (2015) - [i1]Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin:
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. CoRR abs/1508.04211 (2015) - 2014
- [c2]Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin:
Latent Gaussian Models for Topic Modeling. AISTATS 2014: 393-401 - 2012
- [j1]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:
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. 26(4): 643-665 (2012) - 2010
- [c1]Xiaobo Qu, Xue Cao, Di Guo, Changwei Hu, Zhong Chen:
Compressed sensing MRI with combined sparsifying transforms and smoothed l0 norm minimization. ICASSP 2010: 626-629
Coauthor Index
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