随心随意随处漂流
Hey，我是杨涵晨。
Education
- 2023-, 双博士研究生，香港理工大学，计算机系，香港特别行政区。
- 2020-, 博士研究生，同济大学，计算机科学与技术专业。上海。
- 2019-2020，实习。北京字节跳动科技有限公司，IT部门。北京。
- 2016-2020，工学学士，北京交通大学，计算机科学与技术专业。北京。
Research Interests
- 时空预测
- 大模型
- 数据挖掘
Contact
- 18019255548
- neoyang@tju.edu.cn
Publication
- Yang H, Li W, Hou S, et al. HiGRN: a hierarchical graph recurrent network for global sea surface temperature prediction[J]. ACM Transactions on Intelligent Systems and Technology, 2023, 14(4): 1-19.
- Yang H, Chen Y, Cao J, et al. UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Yang H, Cao J, Li W, et al. Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities[J]. Major Revision on ACM Transactions on Knowledge Discovery from Data, 2024.
- Yang H, Cao J, Li W, et al. Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction[J]. Submitted to IEEE Transactions on Transportation Intelligent Systems, 2024.
- Wei C, Yang H, Li W, et al. MVST: A Multi-View Spatial-Temporal Model for Fine-grained Crime Prediction[J]. ACM Transactions on Intelligent Systems and Technology, 2024.
- Kong L, Yang H, Li W, et al. Traffexplainer: A Framework towards GNN-based Interpretable Traffic Prediction[J]. IEEE Transactions on Artificial Intelligence, 2024.
- Kong L, Li W, Yang H, et al. CausalFormer: An Interpretable Transformer for Temporal Causal Discovery[J]. IEEE Transactions on Knowledge Discovery and Engineering, 2024.
- Wang S, Li W, Yang H, et al. LLM4HRS: LLM-based Spatio-temporal Imputation Model for Highly-sparse Remote Sensing Data[J]. Major Revision on IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Jin C, Peng H, Yang H, et al. On Evaluating the Predictability of Sea Surface Temperature Using Entropy[J]. Remote Sensing, 2023, 15(8): 1956.
- Yang H, Chen R, Page testing method, device, readable medium and electronic equipment[P]. CN 111581091A, 2020-04-30.
“stay hungry,stay foolish”
hello, everyone. Welcome to my blogs, I’am neo, a PHD candidate in Shanghai.
Althought I am a small gear in this huge world, l want to have my own sky. my own family and my sweet wife and a branch of children
l always listen to JAY ‘s music. and l am crazy about traveling
Nice to meet you here. 😀😥❤
Education
- 2023-, Dual PhD candidate. in Department of Computing, The Hong Kong Polytechnic University, Hong Kong S.A.R.
- 2020-, PhD candidate. in Computer Science and Technology, Tongji University. Shanghai.
- 2019-2020, Internship. in IT Department of Beijing Bytedance Co., Ltd. Beijing.
- 2016-2020, B.E. in Computer Science and Technology, Beijing Jiaotong University. Beijing.
Research Interests
- Machine Learning
- Interpretability of Deep Learning
- Data Mining
Publication
- Yang H, Li W, Hou S, et al. HiGRN: a hierarchical graph recurrent network for global sea surface temperature prediction[J]. ACM Transactions on Intelligent Systems and Technology, 2023, 14(4): 1-19.
- Yang H, Chen Y, Cao J, et al. UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Yang H, Cao J, Li W, et al. Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities[J]. Major Revision on ACM Transactions on Knowledge Discovery from Data, 2024.
- Yang H, Cao J, Li W, et al. Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction[J]. Submitted to IEEE Transactions on Transportation Intelligent Systems, 2024.
- Wei C, Yang H, Li W, et al. MVST: A Multi-View Spatial-Temporal Model for Fine-grained Crime Prediction[J]. ACM Transactions on Intelligent Systems and Technology, 2024.
- Kong L, Yang H, Li W, et al. Traffexplainer: A Framework towards GNN-based Interpretable Traffic Prediction[J]. IEEE Transactions on Artificial Intelligence, 2024.
- Kong L, Li W, Yang H, et al. CausalFormer: An Interpretable Transformer for Temporal Causal Discovery[J]. IEEE Transactions on Knowledge Discovery and Engineering, 2024.
- Wang S, Li W, Yang H, et al. LLM4HRS: LLM-based Spatio-temporal Imputation Model for Highly-sparse Remote Sensing Data[J]. Major Revision on IEEE Transactions on Geoscience and Remote Sensing, 2024.
- Jin C, Peng H, Yang H, et al. On Evaluating the Predictability of Sea Surface Temperature Using Entropy[J]. Remote Sensing, 2023, 15(8): 1956.
- Yang H, Chen R, Page testing method, device, readable medium and electronic equipment[P]. CN 111581091A, 2020-04-30.
