Publications

Neuroscience (2021–)

Wang-Chen, S., Stimpfling, V.A., Azcorra, M., Ramdya, P. (2026). Precise kinematic and muscle recording in freely behaving flies enabled by closed-loop tracking and annotation-free pose estimation. bioRxiv preprint.
Wang-Chen, S., Ramdya, P. (2026). The embodied brain: Bridging the brain, body, and behavior with neuromechanical digital twins. arXiv preprint.
Özdil, P.G.*, Ning, C.*, Phelps, J., Wang-Chen, S., Elisha, G., Blanke, A., Ijspeert, A., Ramdya, P. (2026). Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster. International Conference on Learning Representations (ICLR).
Wang-Chen, S., Stimpfling, V.A., Lam, T.K.C., Özdil, P.G., Genoud, L., Hurtak, F., Ramdya, P. (2024). NeuroMechFly v2: simulating embodied sensorimotor control in adult Drosophila. Nature Methods.
Braun, J.*, Hurtak, F.*, Wang-Chen, S., Ramdya, P. (2024). Descending networks transform command signals into population motor control. Nature.

Software:

Özdil, P.G., Wang-Chen, S., Ning, C., Ijspeert, A., Ramdya, P. (2026). SeqIKPy: a Python package for inverse kinematics in insects. Journal of Open Source Software.

Astronomy (2017–2018)

Khan, A., Huerta, E.A., Wang, S., Gruendl, R., Jennings, E., Zheng, H. (2019). Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey. Physics Letters B.
Rebei, A., Huerta, E.A., Wang, S., Habib, S., Haas, R., Johnson, D., George, D. (2019). Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers. Physical Review D.
(LIGO/Virgo consortium paper) Abbott et al. (2021). Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo. SoftwareX.

Satellite remote sensing & agriculture (2017–)

Zhao, K., Guan, K., Zhou, Q., Wang, Sibo., Wang, Sheng, Huang, Y., Schwing, A. (2026). STAIR-Tr: Transformer-based Gap Filling for Multi-source Satellite Data Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Zhang, J., Guan, K., Chen, Z., Huang, Y., Zhao, K., Peng, B., Wang, Sheng, Wu, X., Wang, Sibo, Banerjee, A., Vergopolan, N., Fu, R., Zhao, S., Colussi, J. (2025). Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean. International Journal of Applied Earth Observation and Geoinformation.
Wang, Sheng, Guan, K., Zhang, C., Zhou, Q., Wang, Sibo, Wu, X., Jiang, C., Peng, B., Mei, W., Li, K., Li, Z., Yang, Y., Zhou, W., Huang, Y., Ma, Z. (2022). Cross-scale sensing of field-level crop residue cover: Integrating field photos, airborne hyperspectral imaging, and satellite data. Remote Sensing of Environment.
Zhou, Q., Guan, K., Wang, Sheng, Jiang, C., Huang, Y., Peng, B., Chen, Z., Wang, Sibo, Hipple, J., Schaefer, D., Qin, Z., Stroebel, S., Coppess, J., Khanna, M., Cai, Y. (2022). Recent Rapid Increase of Cover Crop Adoption Across the U.S. Midwest Detected by Fusing Multi-Source Satellite Data. Geophysical Research Letters.
Jong, M., Guan, K. Wang, S., Huang, Y., Peng, B. (2022). Improving field boundary delineation in ResUNets via adversarial deep learning. International Journal of Applied Earth Observation and Geoinformation.
Luo, Y., Guan, K., Peng, J., Wang, S., Huang, Y. (2020). STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10 m, Daily, and Cloud-/Gap-Free Surface Reflectance Product. Remote Sensing.
Jiang, C., Guan, K., Pan, M., Ryu, Y., Peng, B., Wang, S. (2020). BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt. Hydrology and Earth System Sciences.
Kimm, H., Guan, K., Jiang, C., Peng, B., Gentry, L., Wilkin, S., Wang, S., Cai, Y., Bernacchi, C., Peng, J., Luo, Y. (2020). Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data. Remote Sensing of Environment.
Cai, Y., Guan, K., Nafziger, E., Chowdhary, G., Peng, B., Jin, Z. Wang, Shaowen, Wang, Sibo (2019). Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Xu, K., Guan, K., Peng, J., Luo, Y., Wang, S. (2019). DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network. arXiv.

Patents:

Accessing agriculture productivity and sustainability. US 2022/0061236 A1, 2021.
Systems and methods for quantifying agroecosystem variables through multi-tier scaling from ground data, to mobile platforms, and to satellite observations. WO 2022/011236 A3, 2021.
Apparatus and method for crop yield prediction. US 2022/0067614 A1, 2019.