ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity. - Niantao Xie; Sujian Li; Jinglin Zhao (CCL, 2019)

Synapse-Aware Skeleton Generation for Neural Circuits. - Brian Matejek; Donglai Wei 001; Xueying Wang 002; Jinglin Zhao; Kálmán Palágyi; Hanspeter Pfister (MICCAI (1), 2019)

A Topological Nomenclature for 3D Shape Analysis in Connectomics. - Abhimanyu Talwar; Zudi Lin; Donglai Wei 001; Yuesong Wu; Bowen Zheng; Jinglin Zhao; Won-Dong Jang; Xueying Wang 002; Jeff Lichtman; Hanspeter Pfister (CVPR Workshops, 2020)

Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes. - Brian Matejek; Tim Franzmeyer; Donglai Wei 001; Xueying Wang 002; Jinglin Zhao; Kálmán Palágyi; Jeff W. Lichtman; Hanspeter Pfister (IEEE Trans. Medical Imaging, 2022)

Capturing Detail Variations for Lightweight Neural Radiance Fields. - Zheng Wang; Laurence T. Yang; Bocheng Ren; Jinglin Zhao; Zhe Li 038; Guolei Zeng (ICASSP, 2024)

TD3D: Tensor-based Discrete Diffusion Process for 3D Shape Generation. - Jinglin Zhao; Debin Liu; Laurence T. Yang; Ruonan Zhao; Zheng Wang; Zhe Li 038 (ICME, 2024)

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation. - Yaowen Bi; Yuteng Lian; Jie Cui; Jun Liu; Peijian Wang; Guanghui Li; Xuejun Chen; Jinglin Zhao; Hao Wen; Jing Zhang; Zhaoqi Zhang; Wenzhuo Song; et al. (CoRR, 2024)