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researcher

Di He

4 papers hereh-index 5113 citations6 works total

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

author position
  • sole author1
  • middle author2
  • last author1

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

fields
  • cs.AI2
  • cs.LG1
  • cs.SI1
same name
  • Di He — 63 papers, h 41
  • Di He — 14 papers, h 8
  • Di He — 8 papers, h 5
  • Di He — 7 papers, h 5
  • Di He — 6 papers, h 2
  • Di He — 4 papers, h 8

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
20182025
most citedHousE: Knowledge Graph Embedding with Householder Parameterization

20 citations · 20 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers

Yi-Fei Liu, Yi-Long Lu, Di He +1

Psychological constructs within individuals are widely believed to be interconnected. We investigated whether and how Large Language Models (LLMs) can model the correlational struc…

cs.AI2022★ 20 cited

HousE: Knowledge Graph Embedding with Householder Parameterization

Rui Li, Jianan Zhao, Chaozhuo Li +9

The effectiveness of knowledge graph embedding (KGE) largely depends on the ability to model intrinsic relation patterns and mapping properties. However, existing approaches can on…

cs.LG2021

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track

Chengxuan Ying, Mingqi Yang, Shuxin Zheng +7

In this technical report, we present our solution of KDD Cup 2021 OGB Large-Scale Challenge - PCQM4M-LSC Track. We adopt Graphormer and ExpC as our basic models. We train each mode…

cs.SI2018

Augmenting Input Method Language Model with user Location Type Information

Di He

Geo-tags from micro-blog posts have been shown to be useful in many data mining applications. This work seeks to find out if the location type derived from these geo-tags can benef…

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