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researcher

Minglei Li

4 papers hereh-index 151.2k citations73 works total

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

author position
  • middle author4

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

fields
  • cs.CL2
  • cs.HC2
same name
  • Minglei Li — 7 papers, h 4
  • Minglei Li — 4 papers, h 7
  • Minglei Li — 2 papers, h 2
  • Minglei Li — 2 papers, h 5
  • Minglei Li — 1 paper, h 2
  • Minglei Li — 1 paper, 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
20212024
most citedUnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons

17 citations · 33 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Syllable based DNN-HMM Cantonese Speech to Text System

Timothy Wong, Claire Li, Sam Lam +6

This paper reports our work on building up a Cantonese Speech-to-Text (STT) system with a syllable based acoustic model. This is a part of an effort in building a STT system to aid…

cs.HC2023★ 17 cited

UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons

Sicheng Yang, Zilin Wang, Zhiyong Wu +8

The automatic co-speech gesture generation draws much attention in computer animation. Previous works designed network structures on individual datasets, which resulted in a lack o…

cs.HC2022★ 16 cited

The ReprGesture entry to the GENEA Challenge 2022

Sicheng Yang, Zhiyong Wu, Minglei Li +4

This paper describes the ReprGesture entry to the Generation and Evaluation of Non-verbal Behaviour for Embodied Agents (GENEA) challenge 2022. The GENEA challenge provides the pro…

cs.CL2021

LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework

Mengjie Zhao, Fei Mi, Yasheng Wang +4

Vast efforts have been devoted to creating high-performance few-shot learners, i.e., large-scale pretrained language models (PLMs) that perform well with little downstream task tra…

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