| Friendly topic assistant for transformer based abstractive summarization Z Wang*, Z Duan*, H Zhang, C Wang, L Tian, B Chen, M Zhou, (* equal) Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 64 | 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 | 43 | 2021 |
| Variational temporal deep generative model for radar HRRP target recognition D Guo, B Chen, W Chen, C Wang, H Liu, M Zhou IEEE Transactions on Signal Processing 68, 5795-5809, 2020 | 42 | 2020 |
| Learning dynamic hierarchical topic graph with graph convolutional network for document classification Z Wang*, C Wang*, H Zhang, Z Duan, M Zhou, B Chen, (* equal) International Conference on Artificial Intelligence and Statistics, 3959-3969, 2020 | 42 | 2020 |
| Towards general computer control: A multimodal agent for red dead redemption ii as a case study W Tan, Z Ding, W Zhang, B Li, B Zhou, J Yue, H Xia, J Jiang, L Zheng, ... ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024 | 25 | 2024 |
| Out-of-distribution detection with an adaptive likelihood ratio on informative hierarchical VAE Y Li*, C Wang*, X Xia, T Liu, X Miao, B An, (* equal) Advances in Neural Information Processing Systems 35, 2022 | 23 | 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, 2022 | 22 | 2022 |
| Deep relational topic modeling via graph poisson gamma belief network C Wang*, H Zhang*, B Chen, D Wang, Z Wang, M Zhou, (* equal) Advances in Neural Information Processing Systems 33, 2020 | 20 | 2020 |
| Convolutional Poisson Gamma Belief Network C Wang, B Chen, S Xiao, M Zhou Proceedings of the 36th International Conference on Machine Learning, 6515--6525, 2019 | 18 | 2019 |
| Topicnet: Semantic graph-guided topic discovery Z Duan, Y Xu, B Chen, C Wang, M Zhou Advances in Neural Information Processing Systems 34, 547-559, 2021 | 17 | 2021 |
| Learning fair representations via distance correlation minimization D Guo, C Wang, B Wang, H Zha IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2139-2152, 2022 | 13 | 2022 |
| EnsLM: Ensemble language model for data diversity by semantic clustering Z Duan*, H Zhang*, C Wang, Z Wang, B Chen, M Zhou, (* equal) Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 13 | 2021 |
| Multimodal Poisson gamma belief network C Wang, B Chen, M Zhou Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 12 | 2018 |
| The performance analysis of signal recognition using attention based cnn method Z Yin, B Chen, W Zhen, C Wang, T Zhang IEEE access 8, 214915-214922, 2020 | 11 | 2020 |
| Q*: Improving multi-step reasoning for llms with deliberative planning C Wang, Y Deng, Z Lyu, L Zeng, J He, S Yan, B An arXiv preprint arXiv:2406.14283, 2024 | 10 | 2024 |
| Alleviating" Posterior Collapse''in Deep Topic Models via Policy Gradient Y Li*, C Wang*, Z Duan, D Wang, B Chen, B An, M Zhou, (* equal) 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 |
| keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM C Wang, Y Xu, Z Peng, C Zhang, B Chen, X Wang, L Feng, B An arXiv preprint arXiv:2401.00426, 2023 | 6 | 2023 |
| A Variational Edge Partition Model for Supervised Graph Representation Learning Y He*, C Wang*, H Zhang, B Chen, M Zhou, (* equal) Advances in Neural Information Processing Systems 35, 2022 | 6 | 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, 2021 | 6 | 2021 |
Mingyuan ZhouAssociate Professor, University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
