Weifu Li

40 papers A* 7B 3Journal 24Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification.
CoRR
Jun Chen, Yonghua Yu, Weifu Li, Yaohui Chen, Hong Chen
2025 A* conf
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent.
AAAI
Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li
2025 J jnl
Financing Mechanisms and Preferences of Technology-Driven Small- and Medium-Sized Enterprises in the Digitalization Context.
Syst.
Jing Hu, Lianming Huang, Weifu Li, Hongyi Xu
2025 J jnl
Generalization Bounds of Deep Neural Networks With τ-Mixing Samples.
IEEE Trans. Neural Networks Learn. Syst.
Liyuan Liu, Yaohui Chen, Weifu Li, Yingjie Wang, Bin Gu, Feng Zheng, Hong Chen
2025 B conf
Pairwise Generalized Importance Weighting for Metric Learning Under Distribution Shift.
ICPADS
Richeng Zhou, Xuelin Zhang, Hong Chen, Weifu Li, Liyuan Liu
2025 J jnl
TSGaussian: Semantic and depth-guided Target-Specific Gaussian Splatting from sparse views.
Image Vis. Comput.
Liang Zhao, Zehan Bao, Yi Xie, Hong Chen, Yaohui Chen, Weifu Li
2025 J jnl
The consistency analysis of gradient learning under independent covariate shift.
Neurocomputing
Liyuan Liu, Hong Chen, Chi Xiao, Weifu Li
2025 A* conf
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples.
IJCAI
Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang
2024 J jnl
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Hong Chen, Youcheng Fu, Xue Jiang, Yanhong Chen, Weifu Li, Yicong Zhou, Feng Zheng
2024 J jnl
TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views.
CoRR
Liang Zhao, Zehan Bao, Yi Xie, Hong Chen, Yaohui Chen, Weifu Li
2023 A* conf
On the Stability and Generalization of Triplet Learning.
AAAI
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
2023 J jnl
On the Stability and Generalization of Triplet Learning.
CoRR
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
2023 A* conf
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning.
AAAI
Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
2023 J jnl
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning.
CoRR
Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
2023 A* conf
Stepdown SLOPE for Controlled Feature Selection.
AAAI
Jingxuan Liang, Xuelin Zhang, Hong Chen, Weifu Li, Xin Tang
2023 J jnl
VISN: virus instance segmentation network for TEM images using deep attention transformer.
Briefings Bioinform.
Chi Xiao, Jun Wang, Shenrong Yang, Minxin Heng, Junyi Su, Hao Xiao, Jingdong Song, Weifu Li
2022 J jnl
Distribution-dependent feature selection for deep neural networks.
Appl. Intell.
Xuebin Zhao, Weifu Li, Hong Chen, Yingjie Wang, Yanhong Chen, Vijay John
2022 A* conf
Error-Based Knockoffs Inference for Controlled Feature Selection.
AAAI
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022 J jnl
Error-based Knockoffs Inference for Controlled Feature Selection.
CoRR
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022 J jnl
Evaluation of string comparators for record linkage in Chinese environment.
Int. J. Wavelets Multiresolution Inf. Process.
Heng Guo, Yalin Li, Ying Liu, Weifu Li, Xinran Li
2022 J jnl
Gradient Learning under Tilted Empirical Risk Minimization.
Entropy
Liyuan Liu, Biqin Song, Zhibin Pan, Chuanwu Yang, Chi Xiao, Weifu Li
2022 J jnl
Hardware Implementation of Hierarchical Temporal Memory Algorithm.
ACM J. Emerg. Technol. Comput. Syst.
Weifu Li, Paul D. Franzon, Sumon Dey, Joshua Schabel
2021 J jnl
A Scalable Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm.
ACM J. Emerg. Technol. Comput. Syst.
Sumon Dey, Lee Baker, Joshua Schabel, Weifu Li, Paul D. Franzon
2021 J jnl
Geolocation Error Estimation and Correction on Long-Term MWRI Data.
IEEE Trans. Geosci. Remote. Sens.
Jiazheng Liu, Weifu Li, Jiangtao Peng, Lijun Shen, Hua Han, Peng Zhang, Lei Yang
2020 J jnl
A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites.
IEEE Geosci. Remote. Sens. Lett.
Weifu Li, Xinghui Zhao, Jiangtao Peng, Zhicheng Luo, Lijun Shen, Hua Han, Peng Zhang, Lei Yang
2020 B conf
Enhancing Depth Quality of Stereo Vision using Deep Learning-based Prior Information of the Driving Environment.
ICPR
Weifu Li, Vijay John, Seiichi Mita
2020 A* conf
SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis.
IJCAI
Xi Chen, Hao Zhai, Danqian Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han
2019 J jnl
Principal Model Analysis Based on Partial Least Squares.
CoRR
Qiwei Xie, Liang Tang, Weifu Li, Vijay John, Yong Hu
2019 J jnl
ℓ
IEEE Geosci. Remote. Sens. Lett.
Weifu Li, Zhicheng Luo, Chengbao Liu, Jiazheng Liu, Lijun Shen, Qiwei Xie, Hua Han, Lei Yang
2018 — conf
A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context.
EMBC
Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han
2018 J jnl
A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images.
BioData Min.
Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han
2018 B conf
An effective fully deep convolutional neural network for mitochondria segmentation based on ATUM-SEM.
Image Processing
Chi Xiao, Weifu Li, Xi Chen, Hua Han, Qiwei Xie
2018 — conf
Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network.
EMBC
Jing Liu, Weifu Li, Chi Xiao, Bei Hong, Qiwei Xie, Hua Han
2018 J jnl
Effective automated pipeline for 3D reconstruction of synapses based on deep learning.
BMC Bioinform.
Chi Xiao, Weifu Li, Hao Deng, Xi Chen, Yang Yang, Qiwei Xie, Hua Han
2018 — conf
Fully Automatic Synaptic Cleft Detection and Segmentation from EM Images Based on Deep Learning.
BICS
Bei Hong, Jing Liu, Weifu Li, Chi Xiao, Qiwei Xie, Hua Han
2018 J jnl
Learning With Coefficient-Based Regularized Regression on Markov Resampling.
IEEE Trans. Neural Networks Learn. Syst.
Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han
2017 J jnl
An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks.
J. Bioinform. Comput. Biol.
Weifu Li, Hao Deng, Qiang Rao, Qiwei Xie, Xi Chen, Hua Han
2016 — conf
Hardware implementation of Hierarchical Temporal Memory algorithm.
SoCC
Weifu Li, Paul D. Franzon
2016 — conf
Processor-in-memory support for artificial neural networks.
ICRC
Joshua Schabel, Lee Baker, Sumon Dey, Weifu Li, Paul D. Franzon
2013 — conf
A high performance modulo 2
MWSCAS
Weifu Li, Yong-Bin Kim