Zhibin Duan

According to our database, Zhibin Duan authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning Hierarchical Document Graphs From Multilevel Sentence Relations.

Hao Zhang, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, Lawrence Carin

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning.

Chaojie Wang, Bo Chen, Zhibin Duan, Wenchao Chen, Hao Zhang, Mingyuan Zhou

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models.

Xinyang Liu, Dongsheng Wang, Miaoge Li, Zhibin Duan, Yishi Xu, Bo Chen, Mingyuan Zhou

CoRR, 2023

Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes.

Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory.

Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process.

Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou

Proceedings of the International Conference on Machine Learning, 2023

2022

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding.

Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient.

Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge-Aware Bayesian Deep Topic Model.

Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bayesian Deep Embedding Topic Meta-Learner.

Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection.

Wenchao Chen, Long Tian, Bo Chen, Liang Dai, Zhibin Duan, Mingyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

2021

TopicNet: Semantic Graph-Guided Topic Discovery.

Zhibin Duan, Yishi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network.

Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou

Proceedings of the 38th International Conference on Machine Learning, 2021

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering.

Zhibin Duan, Hao Zhang, Chaojie Wang, Zhengjue Wang, Bo Chen, Mingyuan Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Friendly Topic Assistant for Transformer Based Abstractive Summarization.

Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian, Bo Chen, Mingyuan Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification.

Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, Bo Chen

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020