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Ning Liu

4 papers hereh-index 337 citations9 works total

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.CR1
  • cs.RO1
same name
  • Ning Liu — 39 papers, h 17
  • Ning Liu — 13 papers, h 18
  • Ning Liu — 13 papers, h 35
  • Ning Liu — 13 papers, h 10
  • Ning Liu — 13 papers, h 3
  • Ning Liu — 9 papers, h 1

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 citedSTMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

Shichao Fan, Kun Wu, Zhengping Che +12

Recent progress in large-scale robotic datasets and vision-language models (VLMs) has advanced research on vision-language-action (VLA) models. However, existing VLA models still f…

cs.CR2025

An Efficient Private GPT Never Autoregressively Decodes

Zhengyi Li, Yue Guan, Kang Yang +5

The wide deployment of the generative pre-trained transformer (GPT) has raised privacy concerns for both clients and servers. While cryptographic primitives can be employed for sec…

cs.LG2024★ 1 cited

STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting

Zhengyang Zhao, Haitao Yuan, Nan Jiang +3

Accurate Traffic Prediction is a challenging task in intelligent transportation due to the spatial-temporal aspects of road networks. The traffic of a road network can be affected…

cs.LG2023

FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting

Weijun Chen, Heyuan Wang, Ye Tian +2

Multivariate time-series (MTS) forecasting is a challenging task in many real-world non-stationary dynamic scenarios. In addition to intra-series temporal signals, the inter-series…

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