Long-range Dependency Modeling
Long-Range Dependency Modeling is a computational framework in session-based recommendation systems that captures and leverages temporal dependencies across distant interactions within a session to improve preference prediction, distinguishing itself from short-term modeling approaches by explicitly accounting for non-adjacent item relationships over extended sequences.
219
Publications
28.4K
Citations
903
Authors
252
Institutions
Publications per year
2017–2026
194
219
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu et al. · arXiv (Cornell University) · 2021 · 3.8K citations · Full text
Self-Attention Generative Adversarial Networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas et al. · arXiv (Cornell University) · 2018 · 2.2K citations · Full text
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu, Xinjiang Wang, Zhanghan Ke et al. · 2023 · 1K citations
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252

Peking University
Beijing, China
10 h-index
28 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
20 publications
2.4K citations
Tsinghua University
Beijing, China
9 h-index
18 publications
3K citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
21 publications
1.4K citations
Tencent (China)
Shenzhen, China
7 h-index
16 publications
1.2K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
8 publications
864 citations
Wuhan University
Wuhan, China
6 h-index
17 publications
8.7K citations

Zhejiang University
Hangzhou, China
5 h-index
15 publications
715 citations
1–8 of 252
Repository · 43 publications · 8.7K citations
24
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Conference · 10 publications · 7.2K citations
10
h-index
9 publications · 342 citations
8
h-index
TPAMI · 5 publications · 1.5K citations
5
h-index
5 publications · 356 citations
5
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1–5