Chaojie Wang

According to our database, Chaojie Wang authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

2024

Learning Fair Representations via Distance Correlation Minimization.

Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., February, 2024

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.

Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An

CoRR, 2024

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

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

2022

Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning.

Wenchao Chen, Bo Chen, Yicheng Liu, Chaojie Wang, Xiaojun Peng, Hongwei Liu, Mingyuan Zhou

IEEE Trans. Signal Process., 2022

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.

Chaojie Wang, Bo Chen, Sucheng Xiao, Zhengjue Wang, Hao Zhang, Penghui Wang, Ning Han, Mingyuan Zhou

IEEE Trans. Cybern., 2022

Ordinal Graph Gamma Belief Network for Social Recommender Systems.

Dongsheng Wang, Chaojie Wang, Bo Chen, Mingyuan Zhou

CoRR, 2022

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE.

Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An

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

A Variational Edge Partition Model for Supervised Graph Representation Learning.

Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, 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

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

Variational Temporal Deep Generative Model for Radar HRRP Target Recognition.

Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou

IEEE Trans. Signal Process., 2020

The Performance Analysis of Signal Recognition Using Attention Based CNN Method.

Zan Yin, Bo Chen, Weimin Zhen, Chaojie Wang, Ting Zhang

IEEE Access, 2020

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network.

Chaojie Wang, Hao Zhang, Bo Chen, Dongsheng Wang, Zhengjue Wang, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bidirectional Convolutional Poisson Gamma Dynamical Systems.

Wenchao Chen, Chaojie Wang, Bo Chen, Yicheng Liu, Hao Zhang, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

2019

Convolutional Poisson Gamma Belief Network.

Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Multimodal Poisson Gamma Belief Network.

Chaojie Wang, Bo Chen, Mingyuan Zhou

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018