Fangzhou Lin

EngineeringComputer ScienceEarth and Planetary Sciences

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: “Deep Loss Convexification for Learning Iterative Models”.

Deep Loss Convexification for Learning Iterative Models

IEEE Transactions on Pattern Analysis and Machine Intelligence(2024)10.1109/tpami.2024.3509860

N/A

0DataRank · unranked

6 citations

Youjia Shao, Yiqing Zhang, Fangzhou Lin, Haichong K. Zhang, Elke A. Rundensteiner +1 more

Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance

arXiv (Cornell University)(2024)10.48550/arxiv.2409.06171

N/A

0DataRank · unranked

0 citations

Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori D Yamada, Gregory S. Fischer +4 more

SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework

arXiv (Cornell University)(2024)10.48550/arxiv.2412.12068

N/A

0DataRank · unranked

0 citations

Shang Gao, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang +4 more

Spectroscopic photoacoustic denoising framework using hybrid analytical and data-free learning method

Photoacoustics(2025)10.1016/j.pacs.2025.100729

N/A

0DataRank · unranked

1 citations

Shang Gao, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang +4 more