| All-optical graph representation learning using integrated diffractive photonic computing units T Yan*, R Yang*, Z Zheng, X Lin, H Xiong, Q Dai (*co-first authors) Science Advances 8 (24), eabn7630, 2022 | 48 | 2022 |
| NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification R Yang, W Dai, C Li, J Zou, H Xiong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 23* | 2022 |
| Dual adaptive training of photonic neural networks Z Zheng*, Z Duan*, H Chen, R Yang, S Gao, H Zhang, H Xiong, ... Nature Machine Intelligence, 1-11, 2023 | 13 | 2023 |
| Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification R Yang, W Dai, C Li, J Zou, H Xiong IEEE Transactions on Signal and Information Processing over Networks 9, 123-139, 2023 | 11 | 2023 |
| An Aircraft Detection Method Based on Improved Mask R-CNN in Remotely Sensed Imagery P Zhao, H Gao, Y Zhang, H Li, R Yang IGARSS 2019 IEEE International Geoscience and Remote Sensing Symposium, 1370 …, 2019 | 9 | 2019 |
| MSPPF-Nets: A Deep Learning Architecture for Remote Sensing Image Classification R Yang, Y Zhang, P Zhao, Z Ji, W Deng IGARSS 2019 IEEE International Geoscience and Remote Sensing Symposium, 3045 …, 2019 | 7 | 2019 |
| scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data R Yang, W Dai, C Li, J Zou, D Wu, H Xiong NeurIPS 2023 AI for Science Workshop, 2023 | 1 | 2023 |
| Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification R Yang, W Dai, H She, YP Du, D Wu, H Xiong Temporal Graph Learning Workshop @ NeurIPS 2023, 2023 | 1 | 2023 |
