Jiahao Ding

University of Shanghai for Science and Technology

Also affiliated with Hangzhou Dianzi University, Tsinghua University

Computer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Effective Proximal Methods for Non-convex Non-smooth Regularized Learning”.

Effective Proximal Methods for Non-convex Non-smooth Regularized Learning

arXiv (Cornell University)(2020)10.48550/arxiv.2009.06562

N/A

0DataRank · unranked

0 citations

Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi, Guannan Liang

Effective Proximal Methods for Non-Convex Non-Smooth Regularized Learning

(2020)10.1109/icdm50108.2020.00043

N/A

0DataRank · unranked

0 citations

Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi, Guannan Liang

Federated Optimization of ℓ0-norm Regularized Sparse Learning

Algorithms(2022)10.3390/a15090319

N/A

0DataRank · unranked

1 citations

Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi +1 more

Stochastic privacy-preserving methods for nonconvex sparse learning

Information Sciences(2022)10.1016/j.ins.2022.09.062

N/A

0DataRank · unranked

1 citations

Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi, Guannan Liang