Investigation of read disturb in split-gate memory and its feasible solution. - Wenyi Zhu; Binghan Li; Tao Yu; Weiran Kong; Shichang Zou (Microelectron. Reliab., 2017)

Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior. - Binghan Li; Wenrui Zhang; Mi Lu (CoRR, 2019)

Advanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze. - Binghan Li; Yindong Hua; Mi Lu (CoRR, 2021)

Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image. - Binghan Li; Yindong Hua; Yifeng Liu; Mi Lu (CoRR, 2021)

Real-World Image Deblurring via Unsupervised Domain Adaptation. - Hanzhou Liu; Binghan Li; Mi Lu; Yucheng Wu (ISVC (2), 2023)

DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring. - Hanzhou Liu; Binghan Li; Chengkai Liu; Mi Lu (CoRR, 2024)

Development and validation of an interpretable machine learning model for predicting in-hospital mortality for ischemic stroke patients in ICU. - Xiao Luo; Binghan Li; Ronghui Zhu; Yaoyong Tai; Zongyu Wang; Qian He; Yanfang Zhao; Xiaoying Bi; Cheng Wu (Int. J. Medical Informatics, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound. - Junxuan Yu; Yaofei Duan; Yuhao Huang 001; Yuchen Wang; Rongbo Ling; Weihao Luo; Ang Zhang; Jingxian Xu; Qiongying Ni; Yongsong Zhou; Binghan Li; Haoran Dou; et al. (CoRR, 2025)

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration. - Hanzhou Liu; Binghan Li; Chengkai Liu; Mi Lu (CoRR, 2025)