Fengshenbang 1.0: Being the foundation of chinese cognitive intelligence J Zhang, R Gan, J Wang, Y Zhang, L Zhang, P Yang, X Gao, Z Wu, ...
arXiv preprint arXiv:2209.02970, 2022
135 2022 Solving Math Word Problem via Cooperative Reasoning induced Language Models X Zhu, J Wang, L Zhang, Y Zhang, R Gan, J Zhang, Y Yang
Annual Meeting of the Association for Computational Linguistics (ACL). 2023, 2022
80 2022 M-Track: a new software for automated detection of grooming trajectories in mice R SL, F KE, Z L, S A.
PLoS Comput Biol 12 (9), 2016
34 2016 Map: Multimodal uncertainty-aware vision-language pre-training model Y Ji, J Wang, Y Gong, L Zhang, Y Zhu, H Wang, J Zhang, T Sakai, Y Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
33 2023 Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective P Yang, J Wang, R Gan, X Zhu, L Zhang, Z Wu, X Gao, J Zhang, T Sakai
Empirical Methods in Natural Language Processing (EMNLP), 2022
25 2022 Mvp-tuning: Multi-view knowledge retrieval with prompt tuning for commonsense reasoning Y Huang, Y Li, Y Xu, L Zhang, R Gan, J Zhang, L Wang
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
20 2023 Feature Expansion for Graph Neural Networks J Sun, L Zhang, G Chen, K Zhang, P XU, Y Yang
International Conference on Machine Learning (ICML) 2023, 2023
17 2023 Temporal graph signal decomposition MJ McNeil, L Zhang, P Bogdanov
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
15 2021 PERCeIDs: Periodic Community Detection L Zhang, A Gorovits, P Bogdanov.
IEEE International Conference on Data Mining (ICDM), 2019
15 2019 Artificial Intelligence: 70 Years Down the Road L Zhang
arXiv preprint arXiv:2303.02819, 2023
9 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks P Xu, L Zhang, X Liu, J Sun, Y Zhao, H Yang, B Yu
International Conference on Machine Learning (ICML), 2023
9 2023 Improving Your Graph Neural Networks: A High-Frequency Booster J Sun, L Zhang, S Zhao, Y Yang
IEEE International Conference on Data Mining, 2022
9 2022 An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images L Zhang
arXiv preprint arXiv:1904.00328, 2017
9 2017 AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. L Zhang, W Zhang, MJ McNeil, N Chengwang, DS Matteson, P Bogdanov
The European Conference on Machine Learning and Principles and Practice of …, 2020
8 2020 MAP: Modality-Agnostic Uncertainty-Aware Vision-Language Pre-training Model Y Ji, J Wang, Y Gong, L Zhang, Y Zhu, H Wang, J Zhang, T Sakai, Y Yang
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR …, 2023
7 * 2023 Learning Periods from Incomplete Multivariate Time Series L Zhang, A Gorovits, W Zhang, P Bogdanov.
IEEE International Conference on Data Mining (ICDM), 2020
6 2020 DSL: discriminative subgraph learning via sparse self-representation L Zhang, P Bogdanov
Proceedings of the 2019 SIAM International Conference on Data Mining, 333-341, 2019
6 2019 W Xiong, L Zhang, M McNeil, P Bogdanov, M Zheleva
IEEE Transactions on Mobile Computing 21 (11), 4111-4124, 2021
5 2021 Mining bursty groups from interaction data A Gorovits, L Zhang, E Gujral, E Papalexakis, P Bogdanov
Proceedings of the 30th ACM International Conference on Information …, 2021
4 2021 Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition. W Xiong, L Zhang, MJ McNeil, P Bogdanov, M Zheleva.
IEEE International Conference on Computer Communications, 2020
4 2020 
Petko BogdanovUniversity at Albany-SUNYAdresse e-mail validée de albany.edu