A high performance modulo 2n+1 squarer design based on carbon nanotube technology. - Weifu Li; Yong-Bin Kim (MWSCAS, 2013)

Processor-in-memory support for artificial neural networks. - Joshua Schabel; Lee Baker; Sumon Dey; Weifu Li; Paul D. Franzon (ICRC, 2016)

Hardware implementation of Hierarchical Temporal Memory algorithm. - Weifu Li; Paul D. Franzon (SoCC, 2016)

An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks. - Weifu Li; Hao Deng 006; Qiang Rao; Qiwei Xie; Xi Chen 031; Hua Han 001 (J. Bioinform. Comput. Biol., 2017)

Fully Automatic Synaptic Cleft Detection and Segmentation from EM Images Based on Deep Learning. - Bei Hong; Jing Liu 054; Weifu Li; Chi Xiao; Qiwei Xie; Hua Han 001 (BICS, 2018)

A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context. - Weifu Li; Jing Liu 054; Chi Xiao; Hao Deng 006; Qiwei Xie; Hua Han 001 (EMBC, 2018)

Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network. - Jing Liu 054; Weifu Li; Chi Xiao; Bei Hong; Qiwei Xie; Hua Han 001 (EMBC, 2018)

An effective fully deep convolutional neural network for mitochondria segmentation based on ATUM-SEM. - Chi Xiao; Weifu Li; Xi Chen 031; Hua Han 001; Qiwei Xie (Image Processing, 2018)

A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images. - Weifu Li; Jing Liu 054; Chi Xiao; Hao Deng 006; Qiwei Xie; Hua Han 001 (BioData Min., 2018)

Effective automated pipeline for 3D reconstruction of synapses based on deep learning. - Chi Xiao; Weifu Li; Hao Deng 006; Xi Chen 031; Yang Yang; Qiwei Xie; Hua Han 001 (BMC Bioinform., 2018)

Learning With Coefficient-Based Regularized Regression on Markov Resampling. - Luoqing Li; Weifu Li; Bin Zou 002; Yulong Wang 002; Yuan Yan Tang; Hua Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Principal Model Analysis Based on Partial Least Squares. - Qiwei Xie; Liang Tang; Weifu Li; Vijay John; Yong Hu (CoRR, 2019)

ℓ0 Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data. - Weifu Li; Zhicheng Luo; Chengbao Liu; Jiazheng Liu; Lijun Shen; Qiwei Xie; Hua Han 001; Lei Yang 035 (IEEE Geosci. Remote. Sens. Lett., 2019)

ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. - Xinghui Zhao; Na Chen; Weifu Li; Jiangtao Peng; Lijun Shen (Remote. Sens., 2019)

Enhancing Depth Quality of Stereo Vision using Deep Learning-based Prior Information of the Driving Environment. - Weifu Li; Vijay John; Seiichi Mita (ICPR, 2020)

SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis. - Xi Chen 031; Hao Zhai; Danqian Liu; Weifu Li; Chaoyue Ding; Qiwei Xie; Hua Han 001 (IJCAI, 2020)

A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites. - Weifu Li; Xinghui Zhao; Jiangtao Peng; Zhicheng Luo; Lijun Shen; Hua Han 001; Peng Zhang 024; Lei Yang 035 (IEEE Geosci. Remote. Sens. Lett., 2020)

A Scalable Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm. - Sumon Dey; Lee Baker; Joshua Schabel; Weifu Li; Paul D. Franzon (ACM J. Emerg. Technol. Comput. Syst., 2021)

Geolocation Error Estimation and Correction on Long-Term MWRI Data. - Jiazheng Liu; Weifu Li; Jiangtao Peng; Lijun Shen; Hua Han 001; Peng Zhang 024; Lei Yang 035 (IEEE Trans. Geosci. Remote. Sens., 2021)

Error-Based Knockoffs Inference for Controlled Feature Selection. - Xuebin Zhao; Hong Chen 004; Yingjie Wang 007; Weifu Li; Tieliang Gong; Yulong Wang 002; Feng Zheng (AAAI, 2022)

Distribution-dependent feature selection for deep neural networks. - Xuebin Zhao; Weifu Li; Hong Chen 004; Yingjie Wang 007; Yanhong Chen; Vijay John (Appl. Intell., 2022)

Gradient Learning under Tilted Empirical Risk Minimization. - Liyuan Liu; Biqin Song; Zhibin Pan; Chuanwu Yang; Chi Xiao; Weifu Li (Entropy, 2022)

Evaluation of string comparators for record linkage in Chinese environment. - Heng Guo; Yalin Li; Ying Liu; Weifu Li; Xinran Li (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Hardware Implementation of Hierarchical Temporal Memory Algorithm. - Weifu Li; Paul D. Franzon; Sumon Dey; Joshua Schabel (ACM J. Emerg. Technol. Comput. Syst., 2022)

On the Stability and Generalization of Triplet Learning. - Jun Chen; Hong Chen 004; Xue Jiang; Bin Gu 001; Weifu Li; Tieliang Gong; Feng Zheng (AAAI, 2023)

Stepdown SLOPE for Controlled Feature Selection. - Jingxuan Liang; Xuelin Zhang; Hong Chen; Weifu Li; Xin Tang (AAAI, 2023)

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning. - Jiahuan Wang; Jun Chen; Hong Chen 004; Bin Gu 001; Weifu Li; Xin Tang (AAAI, 2023)

VISN: virus instance segmentation network for TEM images using deep attention transformer. - Chi Xiao; Jun Wang; Shenrong Yang; Minxin Heng; Junyi Su; Hao Xiao; Jingdong Song; Weifu Li (Briefings Bioinform., 2023)

Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications. - Hong Chen 004; Youcheng Fu; Xue Jiang; Yanhong Chen; Weifu Li; Yicong Zhou; Feng Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. - Jun Chen; Hong Chen 004; Bin Gu 001; Guodong Liu; Yingjie Wang 007; Weifu Li (AAAI, 2025)

The consistency analysis of gradient learning under independent covariate shift. - Liyuan Liu; Hong Chen; Chi Xiao; Weifu Li (Neurocomputing, 2025)

TSGaussian: Semantic and depth-guided Target-Specific Gaussian Splatting from sparse views. - Liang Zhao; Zehan Bao; Yi Xie; Hong Chen 004; Yaohui Chen 002; Weifu Li (Image Vis. Comput., 2025)

Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification. - Jun Chen; Yonghua Yu; Weifu Li; Yaohui Chen 002; Hong Chen 004 (CoRR, 2025)

Generalization Bounds of Deep Neural Networks With τ-Mixing Samples. - Liyuan Liu; Yaohui Chen 002; Weifu Li; Yingjie Wang 007; Bin Gu 001; Feng Zheng; Hong Chen 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)