← Authors

Changwei Hu

10 papers · 2014–2021 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (26) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (10) πŸ—ƒοΈ Keyword Collector (51)

Conferences

EMNLP (4) AISTATS (3) ICML (1) IJCAI (1) NIPS (1)

Top co-authors

Lawrence Carin (6) Piyush Rai (5) Fei Tan (4) Yifan Hu (4) Kevin Yen (3) Chunyuan Li (1) Ruiyi Zhang (1) Kyumin Lee (1) Thanh Tran (1) Matthew Harding (1)

Keywords

gibbs sampling (3) bayesian inference (2) link prediction (2) probabilistic modeling (2) text classification (2) topic model (2) laplace approximation (1) expectation maximization (1) matrix factorization (1) content moderation (1) knowledge graph (1) adversarial training (1) toxicity detection (1) masked language model (1) label embedding (1) posterior inference (1) hierarchical structure (1) knowledge base completion (1) topic modeling (1) variational inference (1)

Papers

BERT-Beta: A Proactive Probabilistic Approach to Text Moderation EMNLP 2021
TNT: Text Normalization based Pre-training of Transformers for Content Moderation EMNLP 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector EMNLP 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020
Deep Generative Models for Relational Data with Side Information ICML 2017
Topic-Based Embeddings for Learning from Large Knowledge Graphs AISTATS 2016
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information AISTATS 2016
Scalable Probabilistic Tensor Factorization for Binary and Count Data IJCAI 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NIPS 2015
Latent Gaussian Models for Topic Modeling AISTATS 2014