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Hanrong Ye

18 papers hereh-index 6178 citations17 works total

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

author position
  • first author1
  • middle author14

Across the 15 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG4
  • cs.AI2
  • cs.SD2
  • cs.CL1
  • cs.IR1
same name
  • Hanrong Ye — 13 papers, h 11
  • Hanrong Ye — 2 papers, h 4

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

most citedOmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

1 citations · 1 across the 16 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

NVIDIA, :, Amala Sanjay Deshmukh +204

We introduce Nemotron 3 Nano Omni, the latest model in the Nemotron multimodal series and the first to natively support audio inputs alongside text, images, and video. Nemotron 3 N…

cs.LG2025

GSPN-2: Efficient Parallel Sequence Modeling

Hongjun Wang, Yitong Jiang, Collin McCarthy +12

Efficient vision transformer remains a bottleneck for high-resolution images and long-video related real-world applications. Generalized Spatial Propagation Network (GSPN) addresse…

cs.LG2025

Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models

Yonggan Fu, Xin Dong, Shizhe Diao +12

Efficient deployment of small language models (SLMs) is essential for numerous real-world applications with stringent latency constraints. While previous work on SLM design has pri…

cs.LG2025

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

Wei Huang, Yi Ge, Shuai Yang +11

We propose QeRL, a Quantization-enhanced Reinforcement Learning framework for large language models (LLMs). While RL is essential for LLMs' reasoning capabilities, it is resource-i…

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