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Lei Zhu

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.IR2
  • cs.CV1
  • eess.IV1
ORCID 0000-0002-2993-7142
same name
  • Lei Zhu — 21 papers, h 42
  • Lei Zhu — 15 papers, h 17
  • Lei Zhu — 14 papers, h 14
  • Lei Zhu — 13 papers, h 45
  • Lei Zhu — 10 papers, h 23
  • Lei Zhu — 9 papers

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

most citedMulti-Behavior Recommendation with Cascading Graph Convolution Networks

108 citations · 109 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2024

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation

Hao Liu, Lei Guo, Lei Zhu +3

Cross-domain Recommendation (CR) is the task that tends to improve the recommendations in the sparse target domain by leveraging the information from other rich domains. Existing m…

eess.IV2023

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Junhao Lin, Qian Dai, Lei Zhu +6

Breast lesion segmentation in ultrasound (US) videos is essential for diagnosing and treating axillary lymph node metastasis. However, the lack of a well-established and large-scal…

cs.CV2023★ 1 cited

Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery

Hongqiu Wang, Lei Zhu, Guang Yang +4

Robot-assisted surgery has made significant progress, with instrument segmentation being a critical factor in surgical intervention quality. It serves as the building block to faci…

cs.IR2023★ 108 cited

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Zhiyong Cheng, Sai Han, Fan Liu +3

Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…

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