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Fengmao Lv

8 papers hereh-index 4130 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV1
  • cs.RO1
same name
  • Fengmao Lv — 11 papers, h 21
  • Fengmao Lv — 4 papers, h 0
  • Fengmao Lv — 2 papers, h 2
  • Fengmao Lv — 2 papers, h 5
  • Fengmao Lv — 1 paper, h 1
  • Fengmao Lv — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedAdaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.LG2025

Structure-aware Hybrid-order Similarity Learning for Multi-view Unsupervised Feature Selection

Lin Xu, Ke Li, Dongjie Wang +3

Multi-view unsupervised feature selection (MUFS) has recently emerged as an effective dimensionality reduction method for unlabeled multi-view data. However, most existing methods…

cs.LG2025

Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection

Zongxin Shen, Yanyong Huang, Dongjie Wang +4

Incomplete multi-view unsupervised feature selection (IMUFS), which aims to identify representative features from unlabeled multi-view data containing missing values, has received…

cs.LG2025

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values

Kai Tang, Ji Zhang, Hua Meng +5

Multivariate time series forecasting (MTSF) is a critical task with broad applications in domains such as meteorology, transportation, and economics. Nevertheless, pervasive missin…

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