| Efficient 3d deep lidar odometry G Wang, X Wu, S Jiang, Z Liu, H Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5749-5765, 2022 | 37 | 2022 |
| Selfevolve: A code evolution framework via large language models S Jiang, Y Wang, Y Wang arXiv preprint arXiv:2306.02907, 2023 | 21 | 2023 |
| Cab: comprehensive attention benchmarking on long sequence modeling J Zhang, S Jiang, J Feng, L Zheng, L Kong International Conference on Machine Learning, 41194-41218, 2023 | 4 | 2023 |
| Linear attention via orthogonal memory J Zhang, S Jiang, J Feng, L Zheng, L Kong arXiv preprint arXiv:2312.11135, 2023 | 1 | 2023 |
| MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts Y Liao, S Jiang, Y Wang, Y Wang arXiv preprint arXiv:2404.09027, 2024 | | 2024 |
| Fraud Detection with Binding Global and Local Relational Interaction H Li, S Jiang, L Zhang, S Du, G Ye, H Chai arXiv preprint arXiv:2402.17472, 2024 | | 2024 |
| ARKS: Active Retrieval in Knowledge Soup for Code Generation H Su, S Jiang, Y Lai, H Wu, B Shi, C Liu, Q Liu, T Yu arXiv preprint arXiv:2402.12317, 2024 | | 2024 |
| Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation Y Liao, S Jiang, Y Li, Y Wang, Y Wang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| Attentive Multi-Layer Perceptron for Non-autoregressive Generation S Jiang, J Zhang, J Feng, L Zheng, L Kong Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Attentive MLP for Non-Autoregressive Generation S Jiang, J Zhang, J Feng, L Zheng, L Kong | | 2022 |
Yu WangShanghai Jiao Tong University & Shanghai AI Laboratory在 sjtu.edu.cn 的电子邮件经过验证
