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researcher

Peng Dai

4 papers here

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.CV3
  • cs.IR1
same name
  • Peng Dai — 15 papers
  • Peng Dai — 3 papers
  • Peng Dai — 2 papers, h 4
  • Peng Dai — 2 papers
  • Peng Dai — 1 paper
  • Peng Dai — 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
20212023
most citedMulti-Behavior Graph Neural Networks for Recommender System

71 citations · 72 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation

Xiaoyang Lyu, Peng Dai, Zizhang Li +4

Implicit neural rendering, which uses signed distance function (SDF) representation with geometric priors (such as depth or surface normal), has led to impressive progress in the s…

cs.IR2023★ 71 cited

Multi-Behavior Graph Neural Networks for Recommender System

Lianghao Xia, Chao Huang, Yong Xu +2

Recommender systems have been demonstrated to be effective to meet user's personalized interests for many online services (e.g., E-commerce and online advertising platforms). Recen…

cs.CV2022★ 1 cited

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

Xin Yu, Peng Dai, Wenbo Li +4

With the rapid development of mobile devices, modern widely-used mobile phones typically allow users to capture 4K resolution (i.e., ultra-high-definition) images. However, for ima…

cs.CV2021

Decompose the Sounds and Pixels, Recompose the Events

Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li +2

In this paper, we propose a framework centering around a novel architecture called the Event Decomposition Recomposition Network (EDRNet) to tackle the Audio-Visual Event (AVE) loc…

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