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Xiang He

3 papers hereh-index 227 citations9 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG1
same name
  • Xiang He — 10 papers, h 6
  • Xiang He — 5 papers, h 22
  • Xiang He — 4 papers, h 2
  • Xiang He — 4 papers, h 3
  • Xiang He — 3 papers, h 5
  • Xiang He — 3 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
20212026
most citedMagic Pyramid: Accelerating Inference with Early Exiting and Token Pruning

5 citations · 5 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2026

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Anyi Xu, Bangcai Lin +315

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…

cs.LG2025

NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks

Alex Reneau, Jerry Yao-Chieh Hu, Zhongfang Zhuang +6

In deep learning, processing multidimensional inputs (e.g., images, medical scans, and time series) is an important task that often requires flattening the inputs. We introduce $\m…

cs.CL2021★ 5 cited

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning

Xuanli He, Iman Keivanloo, Yi Xu +4

Pre-training and then fine-tuning large language models is commonly used to achieve state-of-the-art performance in natural language processing (NLP) tasks. However, most pre-train…

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