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2020 – today
- 2024
[c6]Rui Wang, Shaochuan Lin, Qiang Song, Ke Xu, Huifeng Jiao:
Desigh Method and Research on Hydraulic Propulsion System for Large Underwater Negative Buoyancy Robots. ACIRS 2024: 154-158- 2023
- [c5]Jianye Ji
, Jiayan Pei, Shaochuan Lin, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
Multi-Granularity Attention Model for Group Recommendation. CIKM 2023: 3973-3977 - [c4]Boya Du, Shaochuan Lin, Jiong Gao, Xiyu Ji, Mengya Wang, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service. ICDE 2023: 3549-3562 - [c3]Shaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
Exploring the Spatiotemporal Features of Online Food Recommendation Service. SIGIR 2023: 3354-3358 - [i4]Jianye Ji, Jiayan Pei, Shaochuan Lin, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
Multi-Granularity Attention Model for Group Recommendation. CoRR abs/2308.04017 (2023) - [i3]Shaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
Exploring the Spatiotemporal Features of Online Food Recommendation Service. CoRR abs/2308.04019 (2023) - 2022
- [j1]Shaochuan Lin, Jianming Lv, Zhenguo Yang, Qing Li, Wei-Shi Zheng:
Heterogeneous graph driven unsupervised domain adaptation of person re-identification. Neurocomputing 471: 1-11 (2022) - [c2]Shaochuan Lin, Yicong Yu, Xiyu Ji, Taotao Zhou, Hengxu He, Zisen Sang, Jia Jia, Guodong Cao, Ning Hu:
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. DL4SR@CIKM 2022 - [i2]Shaochuan Lin, Yicong Yu, Xiyu Ji, Taotao Zhou, Hengxu He, Zisen Sang, Jia Jia, Guodong Cao, Ning Hu:
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. CoRR abs/2209.09427 (2022) - [i1]Boya Du, Shaochuan Lin, Jiong Gao, Xiyu Ji, Mengya Wang, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service. CoRR abs/2211.12033 (2022) - 2021
- [c1]Shaochuan Lin, Jianming Lv, Yaquan Wang, Chujie Chen:
GPS-ReID: A Benchmark for Cross-Modal Pedestrian Retrieval. IJCNN 2021: 1-8
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