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Xiaofeng Pan
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2020 – today
- 2024
- [j3]Hongmin Gao, Pengfei Duan, Xiaofeng Pan, Xiaojing Zhang, Keke Ye, Ziyuan Zhong:
Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0. J. Cloud Comput. 13(1): 21 (2024) - [j2]Renxiang Zuo, Xin Huang, Jiayi Li, Xiaofeng Pan:
A Cross-Angle Propagation Network for Built-Up Area Extraction by Fusing Spatial-Spectral-Angular Features From the ZY-3 Multiview Satellite Imagery: Dataset and Analysis of China's 41 Major Cities. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - 2023
- [c6]Chengnuo Deng, Xiaofeng Pan, Keke Ye, Hongmin Gao, Haiquan Wang:
ANA: An Adaptive Non-outlier-detection-based Aggregation Algorithm Against Poisoning Attack for Federated Learning. CCRIS 2023: 28-34 - [c5]Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao, Bo Cao:
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. CIKM 2023: 3838-3842 - [c4]Xiaofeng Pan, Yibin Shen, Jing Zhang, Xu He, Yang Huang, Hong Wen, Chengjun Mao, Bo Cao:
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction. DASFAA (2) 2023: 330-340 - [c3]Ming Li, Naiyin Liu, Xiaofeng Pan, Yang Huang, Ningning Li, Yingmin Su, Chengjun Mao, Bo Cao:
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation. DASFAA (4) 2023: 502-514 - [i8]Ming Li, Naiyin Liu, Xiaofeng Pan, Yang Huang, Ningning Li, Yingmin Su, Chengjun Mao, Bo Cao:
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation. CoRR abs/2304.04529 (2023) - [i7]Wei Dai, Yingmin Su, Xiaofeng Pan:
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. CoRR abs/2308.10527 (2023) - 2022
- [j1]Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan:
MAT: Motion-aware multi-object tracking. Neurocomputing 476: 75-86 (2022) - [c2]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c1]Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Hong Wen, Luping Wang, Chengjun Mao, Bo Cao:
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. SIGIR 2022: 2110-2114 - [i6]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - 2021
- [i5]Xiaofeng Pan, Yibin Shen, Jing Zhang, Keren Yu, Hong Wen, Shui Liu, Chengjun Mao, Bo Cao:
SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction. CoRR abs/2112.13747 (2021) - [i4]Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao:
Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. CoRR abs/2112.13753 (2021) - 2020
- [i3]Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan, Jun Zhao:
MAT: Motion-Aware Multi-Object Tracking. CoRR abs/2009.04794 (2020) - [i2]Hongliang Zhang, Shoudong Han, Xiaofeng Pan, Jun Zhao:
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification. CoRR abs/2012.13853 (2020)
2010 – 2019
- 2018
- [i1]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction. CoRR abs/1805.09484 (2018)
Coauthor Index
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