| 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 | 28 | 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 | 21 | 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) 39th IEEE International Conference on Data Engineering, 2023 | 18 | 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 | 12 | 2022 |
| 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 IEEE Transactions on Intelligent Vehicles, 2021 | 12 | 2021 |
| 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 | 9 | 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 | 6 | 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, 2023 | 4 | 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 | 4 | 2023 |
| Effective Graph Learning with Adaptive Knowledge Exchange L Zeng, J Xu, Z Yao, Y Zhu, J Li (CIKM 2023) 32nd ACM International Conference on Information and Knowledge …, 2021 | 4* | 2021 |
| Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning C Wang, Y Deng, Z Lv, S Yan, A Bo arXiv preprint arXiv:2406.14283, 2024 | 2 | 2024 |
| Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models T Wei, B Zhu, L Zhao, C Cheng, B Li, W Lü, P Cheng, J Zhang, X Zhang, ... arXiv preprint arXiv:2406.06563, 2024 | 2 | 2024 |
| LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models L Zhao, T Wei, L Zeng, C Cheng, L Yang, P Cheng, L Wang, C Li, X Wu, ... arXiv preprint arXiv:2406.00605, 2024 | 1 | 2024 |
| AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange L Zeng, J Xu, Z Yao, Y Zhu, J Li (CIKM 2023) 32nd ACM International Conference on Information and Knowledge …, 2023 | 1 | 2023 |
| 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 (IJCAI 2024) 33rd International Joint Conference on Artificial Intelligence, 2021 | 1 | 2021 |
| Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models--The Story Goes On L Zeng, L Zhong, L Zhao, T Wei, L Yang, J He, C Cheng, R Hu, Y Liu, ... arXiv preprint arXiv:2407.08348, 2024 | | 2024 |
| CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting Y Fang, H Luo, F Zhao, PZH Sun, Y Qin, L Zeng, B Hui, C Wang IEEE Transactions on Intelligent Vehicles, 2024 | | 2024 |
| 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 |
Lanqing LiZhejiang LabVerified email at zhejianglab.com
