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researcher

Shenghao Yang

4 papers here

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

author position
  • first author3
  • middle author1

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

fields
  • cs.IR2
  • cs.IT2
ORCID 0000-0003-1987-5643
same name
  • Shenghao Yang — 8 papers, h 22
  • Shenghao Yang — 3 papers, h 8
  • Shenghao Yang — 1 paper

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
20142024
most citedSequential Recommendation with Latent Relations based on Large Language Model

3 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2024★ 3 cited

Sequential Recommendation with Latent Relations based on Large Language Model

Shenghao Yang, Weizhi Ma, Peijie Sun +4

Sequential recommender systems predict items that may interest users by modeling their preferences based on historical interactions. Traditional sequential recommendation methods r…

cs.IR2024★ 2 cited

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model

Shenghao Yang, Weizhi Ma, Peijie Sun +4

Knowledge-based recommendation models effectively alleviate the data sparsity issue leveraging the side information in the knowledge graph, and have achieved considerable performan…

cs.IT2023

Reliable Throughput of Generalized Collision Channel without Synchronization

Yijun Fan, Yanxiao Liu, Yi Chen +2

We consider a generalized collision channel model for general multi-user communication systems, an extension of Massey and Mathys' collision channel without feedback for multiple a…

cs.IT2014★ 1 cited

Linearly-Coupled Fountain Codes

Shenghao Yang, Soung Chang Liew, Lizhao You +1

Network-coded multiple access (NCMA) is a communication scheme for wireless multiple-access networks where physical-layer network coding (PNC) is employed. In NCMA, a user encodes…

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