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Shwai He

University of Maryland, College Park

27 papers hereh-index 13781 citations33 works total

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

author position
  • first author11
  • middle author12

Across the 23 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.LG8
  • cs.AI2
  • cs.CV2
  • cs.AR1
  • cs.DC1
affiliations
  • University of Maryland, College Park
Homepage
same name
  • Shwai He — 6 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
20212026
most citedMulti-modal Attention Network for Stock Movements Prediction

5 citations · 27 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022★ 2 cited

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters

Shwai He, Liang Ding, Daize Dong +2

Adapter Tuning, which freezes the pretrained language models (PLMs) and only fine-tunes a few extra modules, becomes an appealing efficient alternative to the full model fine-tunin…

cs.LG2022★ 3 cited

PAD-Net: An Efficient Framework for Dynamic Networks

Shwai He, Liang Ding, Daize Dong +3

Dynamic networks, e.g., Dynamic Convolution (DY-Conv) and the Mixture of Experts (MoE), have been extensively explored as they can considerably improve the model's representation p…

cs.CL2022★ 3 cited

Vega-MT: The JD Explore Academy Translation System for WMT22

Changtong Zan, Keqin Peng, Liang Ding +9

We describe the JD Explore Academy's submission of the WMT 2022 shared general translation task. We participated in all high-resource tracks and one medium-resource track, includin…

cs.CV2022

SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution

Shwai He, Chenbo Jiang, Daize Dong +1

Dynamic convolution achieves better performance for efficient CNNs at the cost of negligible FLOPs increase. However, the performance increase can not match the significantly expan…

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