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Liang Zeng
Liang Zeng
Institute for Interdisciplinary Information Sciences(IIIS), Tsinghua University
Verified email at mails.tsinghua.edu.cn
Title
Cited by
Cited by
Year
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
222021
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
182021
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
92021
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
82023
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
82022
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
82021
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
52022
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
32023
Molkd: Distilling cross-modal knowledge in chemical reactions for molecular property prediction
L Zeng, L Li, J Li
arXiv preprint arXiv:2305.01912, 2023
32023
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
12021
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
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