| 2025 | ICASSP | A Joint Time-Frequency Attention for Leakage Detection in Water Distribution Networks Using Time Series Decomposition. | Juan Luo, Yiyang Chen, Jielong Yang, Xionghu Zhong |
| 2025 | ICLR | Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. | Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay |
| 2025 | IJCAI | Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment. | Hanyang Meng, Jielong Yang, Li Peng |
| 2024 | PRICAI | An Attention Model Based Approach for Leakage Detection in Water Distribution Networks Using Normal Pressure Data. | Juan Luo, Du Zhou, Chongxiao Wang, Jielong Yang, Xionghu Zhong |
| 2023 | ICML | Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. | Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay |
| 2022 | ECCV | Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. | Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang |
| 2020 | ICASSP | GFCN: A New Graph Convolutional Network Based on Parallel Flows. | Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay |
| 2017 | ICASSP | A dynamic Bayesian nonparametric model for blind calibration of sensor networks. | Jielong Yang, Wee-Peng Tay, Xionghu Zhong |