Efficient 3d deep lidar odometry
Guangming Wang, Xinrui Wu, Shuyang Jiang, Zhe Liu, Hesheng Wang, "Efficient 3d deep lidar odometry." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
CV
Education
- B.S. in IEEE Honor Class-Computer Science, Shanghai Jiao Tong University, 2019-2023
- Ph.D in Computer Science and Technology, Fudan University, 2023-Current
Work experience
- 2022-2023: Research Assistant
- Shanghai AI Laboratory
- Duties included: AI pioneering research
- Supervisor: Jiangtao Feng & Lingpeng Kong
Skills
- Python/C++/LaTeX
- Multilingual
- English IELTS 7.5
- Japanese N3
Publications
Attentive Multi-Layer Perceptron for Non-autoregressive Generation
Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong, "Attentive Multi-Layer Perceptron for Non-autoregressive Generation." In the proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023.
Cab: comprehensive attention benchmarking on long sequence modeling
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong, "Cab: comprehensive attention benchmarking on long sequence modeling." In the proceedings of International Conference on Machine Learning, 2023.
Linear Attention via Orthogonal Memory
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong, "Linear Attention via Orthogonal Memory." arXiv preprint arXiv:2312.11135, 2023.
Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation
Yusheng Liao, Shuyang Jiang, Yiqi Li, Yu Wang, Yanfeng Wang, "Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation." In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023.
Selfevolve: A code evolution framework via large language models
Shuyang Jiang, Yuhao Wang, Yu Wang, "Selfevolve: A code evolution framework via large language models." arXiv preprint arXiv:2306.02907, 2023.