Photovoltaic power forecasting based on GA improved Bi-LSTM in microgrid without meteorological information H Zhen, D Niu, K Wang, Y Shi, Z Ji, X Xu Energy 231, 120908, 2021 | 119 | 2021 |
Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs Y Shi, H Ma, W Zhong, Q Tan, G Mai, X Li, T Liu, J Huang 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 515-520, 2023 | 29 | 2023 |
Expected output calculation based on inverse distance weighting and its application in anomaly detection of distributed photovoltaic power stations Y Shi, W He, J Zhao, A Hu, J Pan, H Wang, H Zhu Journal of Cleaner Production 253, 119965, 2020 | 24 | 2020 |
Uncertainty analysis based on non-parametric statistical modelling method for photovoltaic array output and its application in fault diagnosis J Pan, W He, Y Shi, R Hou, H Zhu Solar Energy 225, 831-841, 2021 | 22 | 2021 |
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering Y Shi, S Xu, T Yang, Z Liu, T Liu, X Li, N Liu arXiv preprint arXiv:2309.16035, 2023 | 17* | 2023 |
Usable XAI: 10 strategies towards exploiting explainability in the LLM era X Wu, H Zhao, Y Zhu, Y Shi, F Yang, T Liu, X Zhai, W Yao, J Li, M Du, ... arXiv preprint arXiv:2403.08946, 2024 | 16 | 2024 |
New feature extraction method for photovoltaic array output time series and its application in fault diagnosis H Zhu, Y Shi, H Wang, L Lu IEEE Journal of Photovoltaics 10 (4), 1133-1141, 2020 | 15 | 2020 |
Gigamae: Generalizable graph masked autoencoder via collaborative latent space reconstruction Y Shi, Y Dong, Q Tan, J Li, N Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 14 | 2023 |
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation X Wu, H Zhou, Y Shi, W Yao, X Huang, N Liu Proceedings of the ACM on Web Conference 2024, 3566-3575, 2024 | 12* | 2024 |
Engage: Explanation guided data augmentation for graph representation learning Y Shi, K Zhou, N Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 11 | 2023 |
Status evaluation method for arrays in large-scale photovoltaic power stations based on extreme learning machine and k-means L Liang, Z Duan, G Li, H Zhu, Y Shi, Q Cui, B Chen, W Hu Energy Reports 7, 2484-2492, 2021 | 11 | 2021 |
Interpretation of time-series deep models: A survey Z Zhao, Y Shi, S Wu, F Yang, W Song, N Liu arXiv preprint arXiv:2305.14582, 2023 | 10 | 2023 |
Black-box backdoor defense via zero-shot image purification Y Shi, M Du, X Wu, Z Guan, J Sun, N Liu Advances in Neural Information Processing Systems 36, 57336-57366, 2023 | 8 | 2023 |
Retrieval-enhanced knowledge editing for multi-hop question answering in language models Y Shi, Q Tan, X Wu, S Zhong, K Zhou, N Liu arXiv preprint arXiv:2403.19631, 2024 | 6 | 2024 |
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) C Zhao, W Qian, Y Shi, M Huai, N Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23712 …, 2024 | 4* | 2024 |
Quantifying Multilingual Performance of Large Language Models Across Languages Z Li, Y Shi, Z Liu, F Yang, N Liu, M Du arXiv preprint arXiv:2404.11553, 2024 | 2 | 2024 |
MGH Radiology Llama: A Llama 3 70B Model for Radiology Y Shi, P Shu, Z Liu, Z Wu, Q Li, X Li arXiv preprint arXiv:2408.11848, 2024 | | 2024 |
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference H Zhen, Y Shi, Y Huang, JJ Yang, N Liu arXiv preprint arXiv:2408.04652, 2024 | | 2024 |
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification H Zhen, Y Shi, JJ Yang, JM Vehni arXiv preprint arXiv:2212.13589, 2022 | | 2022 |