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Pengfei Hu

4 papers hereh-index 8179 citations64 works total

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

author position
  • first author1
  • middle author1
  • last author2

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

fields
  • cs.LG2
  • cs.CV1
  • cs.HC1
same name
  • Pengfei Hu — 18 papers, h 8
  • Pengfei Hu — 8 papers, h 24
  • Pengfei Hu — 8 papers, h 9
  • Pengfei Hu — 7 papers, h 3
  • Pengfei Hu — 4 papers, h 3
  • Pengfei Hu — 4 papers, h 2

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 citedRF Sensing Security and Malicious Exploitation: A Comprehensive Survey

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

collaborators

4 papers

cs.LG2026

S-GRPO: Unified Post-Training for Large Vision-Language Models

Yuming Yan, Kai Tang, Sihong Chen +4

Current post-training methodologies for adapting Large Vision-Language Models (LVLMs) generally fall into two paradigms: Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL…

cs.HC2025★ 1 cited

RF Sensing Security and Malicious Exploitation: A Comprehensive Survey

Mingda Han, Huanqi Yang, Wenhao Li +4

Radio Frequency (RF) sensing technologies have experienced significant growth due to the widespread adoption of RF devices and the Internet of Things (IoT). These technologies enab…

cs.CV2024

t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving

Pengfei Hu, Yuhang Qian, Tianyue Zheng +5

Given the wide adoption of multimodal sensors (e.g., camera, lidar, radar) by autonomous vehicles (AVs), deep analytics to fuse their outputs for a robust perception become imperat…

cs.LG2024

A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics

Jiahao Wang, Sikun Yang, Heinz Koeppl +3

Probabilistic approaches for handling count-valued time sequences have attracted amounts of research attentions because their ability to infer explainable latent structures and to…

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