| Multi-view deep subspace clustering networks P Zhu*, B Hui*, C Zhang, D Du, L Wen, Q Hu arXiv preprint arXiv:1908.01978, 2019 | 47 | 2019 |
| Self-attention relation network for few-shot learning B Hui, P Zhu, Q Hu, Q Wang ICME 2019, 2019 | 32 | 2019 |
| Dynamic hybrid relation exploration network for cross-domain context-dependent semantic parsing B Hui, R Geng, Q Ren, B Li, Y Li, J Sun, F Huang, L Si, P Zhu, X Zhu AAAI 2021, 2021 | 31 | 2021 |
| Collaborative graph convolutional networks: unsupervised learning meets semi-supervised learning B Hui, P Zhu, Q Hu AAAI 2020, 2020 | 30 | 2020 |
| S²SQL: Injecting syntax to question-schema interaction graph encoder for text-to-SQL parsers B Hui, R Geng, L Wang, B Qin, B Li, J Sun, Y Li ACL 2022 Findings, 2022 | 21 | 2022 |
| Improving text-to-sql with schema dependency learning B Hui, X Shi, R Geng, B Li, Y Li, J Sun, X Zhu arXiv preprint arXiv:2103.04399, 2021 | 18* | 2021 |
| Proton: probing schema linking Information from pre-trained language models for text-to-SQL parsing L Wang*, B Qin*, B Hui*, B Li, M Yang, B Wang, B Li, F Huang, L Si, Y Li KDD 2022, 2022 | 12 | 2022 |
| A survey on text-to-SQL parsing: concepts, methods, and future directions B Qin, B Hui, L Wang, M Yang, J Li, B Li, R Geng, R Cao, J Sun, L Si, ... arXiv preprint arXiv:2208.13629, 2022 | 8 | 2022 |
| Geometry-guided dense perspective network for speech-driven facial animation J Liu*, B Hui*, K Li, Y Liu, YK Lai, Y Zhang, Y Liu, J Yang IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021 | 7 | 2021 |
| SPACE-2: tree-structured semi-supervised contrastive pre-training for task-oriented dialog understanding W He*, Y Dai*, B Hui*, M Yang, Z Cao, J Dong, F Huang, L Si, Y Li COLING 2022, 2022 | 6 | 2022 |
| Latent heterogeneous graph network for incomplete multi-view learning P Zhu, X Yao, Y Wang, M Cao, B Hui, S Zhao, Q Hu IEEE Transactions on Multimedia (TMM), 2022 | 6 | 2022 |
| STAR: SQL guided pre-training for context-dependent text-to-SQL parsing Z Cai, X Li, B Hui, M Yang, B Li, B Li, Z Cao, W Li, F Huang, L Si, Y Li EMNLP 2022 Findings, 2022 | 3 | 2022 |
| SUN: exploring intrinsic uncertainties in text-to-SQL parsers B Qin*, L Wang*, B Hui*, B Li, X Wei, B Li, F Huang, L Si, M Yang, Y Li COLING 2022, 2022 | 3 | 2022 |
| Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning Y Ye*, B Hui*, M Yang, B Li, F Huang, Y Li arXiv preprint arXiv:2301.13808, 2023 | 1 | 2023 |
| Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing J Li, B Hui, R Cheng, B Qin, C Ma, N Huo, F Huang, W Du, L Si, Y Li AAAI 2023, 2023 | | 2023 |
| SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph Y Long, B Hui, F Ye, Y Li, Z Han, C Yuan, Y Li, X Wang AAAI 2023, 2023 | | 2023 |
Yongbin Li（李永彬）Alibaba DAMO AcademyVerified email at alibaba-inc.com
