| 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 | 90 | 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 | 23 | 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 | 23 | 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 |
| 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 | 11 | 2020 |
| Mededit: Model editing for medical question answering with external knowledge bases Y Shi, S Xu, Z Liu, T Liu, X Li, N Liu arXiv preprint arXiv:2309.16035, 2023 | 10 | 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 | 10 | 2021 |
| Towards Personalized Cold-Start Recommendation with Prompts X Wu, H Zhou, W Yao, X Huang, N Liu arXiv preprint arXiv:2306.17256, 2023 | 7 | 2023 |
| 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 | 6 | 2023 |
| 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 | 5 | 2023 |
| 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 | 5 | 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, 2024 | 4 | 2024 |
| Automated Natural Language Explanation of Deep Visual Neurons with Large Models C Zhao, W Qian, Y Shi, M Huai, N Liu arXiv preprint arXiv:2310.10708, 2023 | 3 | 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 | 2 | 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 | | 2024 |
| 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 | | 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 | | 2024 |
| Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations X Wu, H Zhou, Y Shi, W Yao, X Huang, N Liu | | 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 |
Hao ZhenUniversity of GeorgiaVerified email at uga.edu
