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Peng Li

Institute for AI Industry Research (AIR), Tsinghua University, China

59 papers hereh-index 377.3k citations127 works total

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

author position
  • first author1
  • middle author58

Across the 59 of 59 papers where every author was matched, so the position is known.

fields
  • cs.CL37
  • cs.CV10
  • cs.AI4
  • cs.LG3
  • cond-mat.mtrl-sci1
  • cs.HC1
affiliations
  • Institute for AI Industry Research (AIR), Tsinghua University, China
Homepage
same name
  • Peng Li — 46 papers, h 65
  • Peng Li — 23 papers, h 12
  • Peng Li — 16 papers, h 13
  • Peng Li — 16 papers, h 5
  • Peng Li — 14 papers, h 13
  • Peng Li — 14 papers, h 3

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
20162025
most citedMeasuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

80 citations · 557 across the 56 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.CL2022

ELLE: Efficient Lifelong Pre-training for Emerging Data

Yujia Qin, Jiajie Zhang, Yankai Lin +4

Current pre-trained language models (PLM) are typically trained with static data, ignoring that in real-world scenarios, streaming data of various sources may continuously grow. Th…

cs.CL2022

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models

Deming Ye, Yankai Lin, Peng Li +2

Pre-trained language models (PLMs) cannot well recall rich factual knowledge of entities exhibited in large-scale corpora, especially those rare entities. In this paper, we propose…

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