| Convolutional neural network architectures for matching natural language sentences B Hu, Z Lu, H Li, Q Chen Advances in neural information processing systems 27, 2014 | 1783 | 2014 |
| Lcsts: A large scale chinese short text summarization dataset B Hu, Q Chen, F Zhu EMNLP2015, 2015 | 438 | 2015 |
| Learning to Extract Coherent Summary via Deep Reinforcement Learning Y Wu, B Hu AAAI2018, 2018 | 227 | 2018 |
| Uni-moe: Scaling unified multimodal llms with mixture of experts Y Li, S Jiang, B Hu, L Wang, W Zhong, W Luo, L Ma, M Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 124 | 2025 |
| Recurrent convolutional neural network for answer selection in community question answering X Zhou, B Hu, Q Chen, X Wang Neurocomputing 274, 8-18, 2018 | 96 | 2018 |
| Sentence Simplification with Memory-Augmented Neural Networks T Vu, B Hu, T Munkhdalai, H Yu NAACL2018, 2018 | 93 | 2018 |
| Answer sequence learning with neural networks for answer selection in community question answering X Zhou, B Hu, Q Chen, B Tang, X Wang ACL2015, 2015 | 87 | 2015 |
| Text-guided neural image inpainting L Zhang, Q Chen, B Hu, S Jiang Proceedings of the 28th ACM international conference on multimedia, 1302-1310, 2020 | 85 | 2020 |
| AdaHGNN: Adaptive hypergraph neural networks for multi-label image classification X Wu, Q Chen, W Li, Y Xiao, B Hu Proceedings of the 28th ACM international conference on multimedia, 284-293, 2020 | 78 | 2020 |
| A survey of large language models attribution D Li, Z Sun, X Hu, Z Liu, Z Chen, B Hu, A Wu, M Zhang arXiv preprint arXiv:2311.03731, 2023 | 73 | 2023 |
| An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks Y Wu, Y Zhao, B Hu, P Minervini, P Stenetorp, S Riedel EMNLP2022, 2022 | 72 | 2022 |
| Attentive capsule network for click-through rate and conversion rate prediction in online advertising D Li, B Hu, Q Chen, X Wang, Q Qi, L Wang, H Liu Knowledge-based systems 211, 106522, 2021 | 63 | 2021 |
| Perception, reason, think, and plan: A survey on large multimodal reasoning models Y Li, Z Liu, Z Li, X Zhang, Z Xu, X Chen, H Shi, S Jiang, X Wang, J Wang, ... arXiv preprint arXiv:2505.04921, 2025 | 58 | 2025 |
| Lmeye: An interactive perception network for large language models Y Li, B Hu, X Chen, L Ma, Y Xu, M Zhang IEEE Transactions on Multimedia, 2024 | 58 | 2024 |
| Towards reasoning in large language models via multi-agent peer review collaboration Z Xu, S Shi, B Hu, J Yu, D Li, M Zhang, Y Wu arXiv preprint arXiv:2311.08152, 2023 | 56 | 2023 |
| Videovista: A versatile benchmark for video understanding and reasoning Y Li, X Chen, B Hu, L Wang, H Shi, M Zhang arXiv preprint arXiv:2406.11303, 2024 | 55* | 2024 |
| Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment Y Li, X Chen, B Hu, H Shi, M Zhang ACL2024, 2024 | 53* | 2024 |
| Generative multimodal entity linking S Shi, Z Xu, B Hu, M Zhang LREC-COLING 2024, 2023 | 47 | 2023 |
| Towards medical machine reading comprehension with structural knowledge and plain text D Li, B Hu, Q Chen, W Peng, A Wang Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 45 | 2020 |
| Stroke sequence-dependent deep convolutional neural network for online handwritten Chinese character recognition X Liu, B Hu, Q Chen, X Wu, J You IEEE transactions on neural networks and learning systems 31 (11), 4637-4648, 2020 | 44 | 2020 |
Qingcai ChenProfessor, Harbin Institute of Technology （Shenzhen）; Peng Cheng LaboratoryVerified email at hit.edu.cn
