Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection W Chen, L Tian, B Chen, L Dai, Z Duan, M Zhou International Conference on Machine Learning, 3621-3633, 2022 | 70 | 2022 |
Friendly topic assistant for transformer based abstractive summarization Z Wang, Z Duan, H Zhang, C Wang, L Tian, B Chen, M Zhou Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 63 | 2020 |
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Z Duan, D Wang, B Chen, C Wang, W Chen, Y Li, J Ren, M Zhou International Conference on Machine Learning, 2903-2913, 2021 | 41 | 2021 |
Learning dynamic hierarchical topic graph with graph convolutional network for document classification Z Wang, C Wang, H Zhang, Z Duan, M Zhou, B Chen International Conference on Artificial Intelligence and Statistics, 3959-3969, 2020 | 39 | 2020 |
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding Y Xu, D Wang, B Chen, R Lu, Z Duan, M Zhou Advances in Neural Information Processing Systems 35, 31557-31570, 2022 | 21 | 2022 |
Knowledge-aware Bayesian deep topic model D Wang, Y Xu, M Li, Z Duan, C Wang, B Chen, M Zhou Advances in Neural Information Processing Systems 35, 14331-14344, 2022 | 21 | 2022 |
Topicnet: Semantic graph-guided topic discovery Z Duan, Y Xu, B Chen, D Wang, C Wang, M Zhou Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 16 | 2021 |
EnsLM: Ensemble language model for data diversity by semantic clustering Z Duan, H Zhang, C Wang, Z Wang, B Chen, M Zhou Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 12 | 2021 |
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models X Liu, D Wang, M Li, Z Duan, Y Xu, B Chen, M Zhou arXiv preprint arXiv:2303.09100, 2023 | 11 | 2023 |
Alleviating" Posterior Collapse''in Deep Topic Models via Policy Gradient Y Li, C Wang, Z Duan, D Wang, B Chen, B An, M Zhou Advances in Neural Information Processing Systems 35, 22562-22575, 2022 | 8 | 2022 |
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning C Wang, B Chen, Z Duan, W Chen, H Zhang, M Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4586-4604, 2022 | 8 | 2022 |
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process Z Duan, X Liu, Y Su, Y Xu, B Chen, M Zhou International Conference on Machine Learning, 8731-8746, 2023 | 6 | 2023 |
Bayesian Deep Embedding Topic Meta-Learner Z Duan, Y Xu, J Sun, B Chen, W Chen, C Wang, M Zhou International Conference on Machine Learning, 5659-5670, 2022 | 5 | 2022 |
Learning hierarchical document graphs from multilevel sentence relations H Zhang, C Wang, Z Wang, Z Duan, B Chen, M Zhou, R Henao, L Carin IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4273-4285, 2021 | 5 | 2021 |
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes Y Xu, J Sun, Y Su, X Liu, Z Duan, B Chen, M Zhou Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory Z Duan, Z Lv, C Wang, B Chen, B An, M Zhou Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series M Wang, W Chen, Z Duan, B Chen arXiv preprint arXiv:2409.18491, 2024 | | 2024 |
Disentangled Generative Graph Representation Learning X Hu, Z Duan, X Liu, Y Li, B Chen, M Zhou arXiv preprint arXiv:2408.13471, 2024 | | 2024 |
A Non-negative VAE: the Generalized Gamma Belief Network Z Duan, T Wen, M Wang, B Chen, M Zhou arXiv preprint arXiv:2408.03388, 2024 | | 2024 |
Contrastive Factor Analysis Z Duan, T Wen, Y Wang, C Zhu, B Chen, M Zhou arXiv preprint arXiv:2407.21740, 2024 | | 2024 |