A new road network selection approach based on the importance criteria of spatial interactive relationship. - Min Guo; Haizhong Qian; Xiao Wang; Haiwei He; Zhishen Huang (Geoinformatics, 2013)

A novel algorithm for shuttlecock tracking. - Zhishen Huang; Wai-kuen Cham (APSIPA, 2015)

Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. - Zhishen Huang; Stephen Becker (INNSBDDL, 2019)

Predictability limit of partially observed systems. - Andrés Abeliuk; Zhishen Huang; Emilio Ferrara; Kristina Lerman (CoRR, 2020)

Stochastic Gradient Langevin Dynamics with Variance Reduction. - Zhishen Huang; Stephen Becker (IJCNN, 2021)

Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. - Zhishen Huang; Siqi Ye; Michael T. McCann; Saiprasad Ravishankar (CoRR, 2021)

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. - Zhishen Huang; Marc Louis Klasky; Trevor Wilcox; Saiprasad Ravishankar (CoRR, 2021)

Spectral estimation from simulations via sketching. - Zhishen Huang; Stephen Becker (J. Comput. Phys., 2021)

Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction. - Xikai Yang; Zhishen Huang; Yong Long; Saiprasad Ravishankar (CoRR, 2022)

Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI. - Zhishen Huang; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2022)

Fast Robust Principle Component Analysis Using Gauss-Newton Iterations. - William Chettleburgh; Zhishen Huang; Ming Yang 001 (ICASSP, 2023)

Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences. - Zhishen Huang (CoRR, 2023)

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning. - Ling Chen; Zhishen Huang; Yong Long; Saiprasad Ravishankar (CoRR, 2023)

Explainable Uncertainty Attribution for Sequential Recommendation. - Carles Balsells Rodas; Fan Yang 084; Zhishen Huang; Yan Gao (SIGIR, 2024)

QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Document Understanding. - Binh M. Le; Shaoyuan Xu; Jinmiao Fu; Zhishen Huang; Moyan Li; Yanhui Guo; Hongdong Li; Sameera Ramasinghe; Bryan Wang (CVPR Workshops, 2025)

QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document Understanding. - Binh M. Le; Shaoyuan Xu; Jinmiao Fu; Zhishen Huang; Moyan Li; Yanhui Guo; Hongdong Li; Sameera Ramasinghe; Bryan Wang (CoRR, 2025)

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations. - Jiin Woo; Alireza Bagheri Garakani; Tianchen Zhou; Zhishen Huang; Yan Gao (CoRR, 2025)