Publications

2022

Sheng, K., Zhang, S., Beau, M., Qu, P., Yang, L., Liu, X., He, L., Ma, L., \& Du, K. (2022). Domain Adaptive Neural Inference for Neurons, Microcircuits and Networks. bioRxiv.
Shi, R., Wang, W., Li, Z., He, L., Sheng, K., Ma, L., Du, K., Jiang, T., and Huang, T. (2022) U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms. Front. Comput. Neurosci. 16:842760. doi: 10.3389/fncom.2022.842760
Su, L., Wang, W., Sheng, K., Liu, X., Du, K., Tian, Y., and Ma, L. (2022) Siamese Network-Based All-Purpose-Tracker, a Model-Free Deep Learning Tool for Animal Behavioral Tracking. Front. Behav. Neurosci. 16:759943. doi: 10.3389/fnbeh.2022.759943 (* equally contributed)

Sheng, K., Qu, P., Yang, L., Liu, X., He, L., Ma, L., and Du, K. (2021). A General LSTM-based Deep Learning Method for Estimating Neuronal Models and Inferring Neural Circuitry. bioRxiv.

Shi, R., Wang, W., Li, Z., He, L., Sheng, K., Ma, L., … and Huang, T. (2020). Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation. arXiv preprint arXiv:2010.08209.
Zheng, S., Liang, Y., Wang, S., Chen, R., and Sheng, K.. (2020, March) FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System. In Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 859-873) doi: 10.1145/3373376.3378508