Technical approaches to Chinese sign language processing: A review SM Kamal, Y Chen, S Li, X Shi, J Zheng IEEE Access 7, 96926-96935, 2019 | 50 | 2019 |
Fuzzy SLIC: Fuzzy simple linear iterative clustering C Wu, J Zheng, Z Feng, H Zhang, L Zhang, J Cao, H Yan IEEE Transactions on Circuits and Systems for Video Technology 31 (6), 2114-2124, 2020 | 41 | 2020 |
An improved sign language translation model with explainable adaptations for processing long sign sentences J Zheng, Z Zhao, M Chen, J Chen, C Wu, Y Chen, X Shi, Y Tong Computational Intelligence and Neuroscience 2020, 2020 | 36 | 2020 |
Efficient multi-order gated aggregation network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li arXiv preprint arXiv:2211.03295, 2022 | 34 | 2022 |
Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment J Zheng, Y Wang, C Tan, S Li, G Wang, J Xia, Y Chen, SZ Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
Enhancing neural sign language translation by highlighting the facial expression information J Zheng, Y Chen, C Wu, X Shi, SM Kamal Neurocomputing 464, 462-472, 2021 | 23 | 2021 |
Protein language models and structure prediction: Connection and progression B Hu, J Xia, J Zheng, C Tan, Y Huang, Y Xu, SZ Li arXiv preprint arXiv:2211.16742, 2022 | 19 | 2022 |
Towards effective and generalizable fine-tuning for pre-trained molecular graph models J Xia, J Zheng, C Tan, G Wang, SZ Li bioRxiv, 2022.02. 03.479055, 2022 | 16 | 2022 |
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings J Zheng, Y Wang, G Wang, J Xia, Y Huang, G Zhao, Y Zhang, SZ Li Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 14 | 2022 |
Data-efficient protein 3d geometric pretraining via refinement of diffused protein structure decoy Y Huang, L Wu, H Lin, J Zheng, G Wang, SZ Li arXiv preprint arXiv:2302.10888, 2023 | 9 | 2023 |
Learning complete protein representation by deep coupling of sequence and structure B Hu, C Tan, J Xia, J Zheng, Y Huang, L Wu, Y Liu, Y Xu, SZ Li bioRxiv, 2023.07. 05.547769, 2023 | 7 | 2023 |
A document-level neural machine translation model with dynamic caching guided by theme-rheme information Y Tong, J Zheng, H Zhu, Y Chen, X Shi Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
Protein 3d graph structure learning for robust structure-based protein property prediction Y Huang, S Li, L Wu, J Su, H Lin, O Zhang, Z Liu, Z Gao, J Zheng, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12662 …, 2024 | 5 | 2024 |
Lightweight contrastive protein structure-sequence transformation J Zheng, G Wang, Y Huang, B Hu, S Li, C Tan, X Fan, SZ Li arXiv preprint arXiv:2303.11783, 2023 | 4 | 2023 |
Star topology convolution for graph representation learning C Wu, Z Feng, J Zheng, H Zhang, J Cao, H Yan Complex & Intelligent Systems 8 (6), 5125-5141, 2022 | 4 | 2022 |
Leveraging graph-based cross-modal information fusion for neural sign language translation J Zheng, S Li, C Tan, C Wu, Y Chen, SZ Li arXiv preprint arXiv:2211.00526, 2022 | 4 | 2022 |
MogaNet: Multi-order Gated Aggregation Network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
Wordreg: Mitigating the gap between training and inference with worst-case drop regularization J Xia, G Wang, B Hu, C Tan, J Zheng, Y Xu, SZ Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
Generating diverse back-translations via constraint random decoding Y Tong, Y Chen, G Zhang, J Zheng, H Zhu, X Shi Machine Translation: 17th China Conference, CCMT 2021, Xining, China …, 2021 | 2 | 2021 |
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions J Xia, L Zhang, X Zhu, Y Liu, Z Gao, B Hu, C Tan, J Zheng, S Li, SZ Li Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |