Context-Aware Sparse Deep Coordination Graphs T Wang, L Zeng, W Dong, Q Yang, Y Yu, C Zhang (ICLR 2022 spotlight) 10th International Conference on Learning Representations, 2021 | 22 | 2021 |
Inductive Matrix Completion Using Graph Autoencoder W Shen, C Zhang, Y Tian, L Zeng, X He, W Dou, X Xu (CIKM 2021) 30th ACM International Conference on Information & Knowledge …, 2021 | 18 | 2021 |
Cdgnet: A cross-time dynamic graph-based deep learning model for traffic forecasting Y Fang, Y Qin, H Luo, F Zhao, L Zeng, B Hui, C Wang arXiv preprint arXiv:2112.02736, 2021 | 9 | 2021 |
When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks Y Fang, Y Qin, H Luo, F Zhao, B Xu, L Zeng, C Wang (ICDE 2023) IEEE 39th International Conference on Data Engineering, 517-529, 2023 | 8 | 2023 |
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification L Zeng, L Li, Z Gao, P Zhao, J Li (AAAI 2023) 37th AAAI Conference on Artificial Intelligence, 2022 | 8 | 2022 |
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention Network Y Fang, Y Qin, H Luo, F Zhao, B Xu, C Wang, L Zeng (ICDE 2023) 39th IEEE International Conference on Data Engineering, 2021 | 8 | 2021 |
Imdrug: A benchmark for deep imbalanced learning in ai-aided drug discovery L Li, L Zeng, Z Gao, S Yuan, Y Bian, B Wu, H Zhang, Y Yu, C Lu, Z Zhou, ... arXiv preprint arXiv:2209.07921, 2022 | 5 | 2022 |
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation L Wang, L Zeng, J Li (AAAI 2023) 37th AAAI Conference on Artificial Intelligence 37 (8), 10140-10148, 2023 | 3 | 2023 |
Molkd: Distilling cross-modal knowledge in chemical reactions for molecular property prediction L Zeng, L Li, J Li arXiv preprint arXiv:2305.01912, 2023 | 3 | 2023 |
Effective Graph Learning with Adaptive Knowledge Exchange L Zeng, J Xu, Z Yao, Y Zhu, J Li (CIKM 2023) Proceedings of the 32nd ACM International Conference on …, 2021 | 3* | 2021 |
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling L Zeng, L Wang, H Niu, R Zhang, L Wang, J Li arXiv preprint arXiv:2107.11972, 2021 | 1 | 2021 |
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange L Zeng, J Xu, Z Yao, Y Zhu, J Li (CIKM 2023) Proceedings of the 32nd ACM International Conference on …, 2023 | | 2023 |
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting Y Qin, Y Fang, H Luo, L Zeng, F Zhao, C Wang arXiv e-prints, arXiv: 2112.02740, 2021 | | 2021 |