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researcher

Fei Wang

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.MA1
ORCID 0000-0002-3282-0535
same name
  • Fei Wang — 70 papers, h 137
  • Fei Wang — 26 papers
  • Fei Wang — 20 papers, h 50
  • Fei Wang — 18 papers, h 19
  • Fei Wang — 13 papers, h 16
  • Fei Wang — 7 papers

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
20232025
most citedBLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates

Chengqing Yu, Fei Wang, Chuanguang Yang +6

Multivariate Time Series Forecasting (MTSF) involves predicting future values of multiple interrelated time series. Recently, deep learning-based MTSF models have gained significan…

cs.LG2025★ 3 cited

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models

Zezhi Shao, Yujie Li, Fei Wang +7

The advent of universal time series forecasting models has revolutionized zero-shot forecasting across diverse domains, yet the critical role of data diversity in training these mo…

cs.CV2024

SCIGS: 3D Gaussians Splatting from a Snapshot Compressive Image

Zixu Wang, Hao Yang, Yu Guo +1

Snapshot Compressive Imaging (SCI) offers a possibility for capturing information in high-speed dynamic scenes, requiring efficient reconstruction method to recover scene informati…

cs.MA2023

Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles

Xiaoxue Yu, Rongpeng Li, Fei Wang +4

Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm to solve diverse, intelligent control tasks like autonomous driving in Internet of Vehicles (IoV). However,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.