| Energy-recycling blockchain with proof-of-deep-learning C Chenli, B Li, Y Shi, T Jung 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC …, 2019 | 60 | 2019 |
| Real-Time Adversarial Attacks Y Gong, B Li, C Poellabauer, Y Shi Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 59 | 2019 |
| Exploiting computation power of blockchain for biomedical image segmentation B Li, C Chenli, X Xu, T Jung, Y Shi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 32 | 2019 |
| Dlbc: A deep learning-based consensus in blockchains for deep learning services B Li, C Chenli, X Xu, Y Shi, T Jung arXiv preprint arXiv:1904.07349, 2019 | 13 | 2019 |
| Dlchain: Blockchain with deep learning as proof-of-useful-work C Chenli, B Li, T Jung Services–SERVICES 2020: 16th World Congress, Held as Part of the Services …, 2020 | 9 | 2020 |
| Automatic virtual 3d city generation for synthetic data collection B Shen, B Li, WJ Scheirer Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 6 | 2021 |
| A mining pool solution for novel proof-of-neural-architecture consensus B Li, Q Lu, W Jiang, T Jung, Y Shi 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-3, 2021 | 4 | 2021 |
| Privacy-Aware Cost-Effective Scheduling Considering Non-Schedulable Appliances in Smart Home B Li, J Wu, Y Shi The 15th IEEE International Conference on Embedded Software and Systems, 2019 | 4 | 2019 |
| A collaboration strategy in the mining pool for proof-of-neural-architecture consensus B Li, Q Lu, W Jiang, T Jung, Y Shi Blockchain: Research and Applications 3 (4), 100089, 2022 | 2 | 2022 |
| Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning B Li, B Shen, Q Lu, T Jung, Y Shi arXiv preprint arXiv:2307.16342, 2023 | | 2023 |
| Proof-Of-Deep-Learning Consensus in Blockchain Systems B Li University of Notre Dame, 2023 | | 2023 |
| Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment K Liu, Q Lu, B Li, X Li, YSJ Zhuang, M Huang, H Fei, E Zhang, X Xu | | 2022 |
Yiyu ShiUniversity of Notre DameVerified email at nd.edu
