Xiaofeng Pan

According to our database, Xiaofeng Pan authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0.

Hongmin Gao, Pengfei Duan, Xiaofeng Pan, Xiaojing Zhang, Keke Ye, Ziyuan Zhong

J. Cloud Comput., December, 2024

2023

DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations.

Wei Dai, Yingmin Su, Xiaofeng Pan

CoRR, 2023

MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction.

Xiaofeng Pan, Yibin Shen, Jing Zhang, Xu He, Yang Huang, Hong Wen, Chengjun Mao, Bo Cao

Proceedings of the Database Systems for Advanced Applications, 2023

FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation.

Ming Li, Naiyin Liu, Xiaofeng Pan, Yang Huang, Ningning Li, Yingmin Su, Chengjun Mao, Bo Cao

Proceedings of the Database Systems for Advanced Applications, 2023

DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations.

Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao, Bo Cao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ANA: An Adaptive Non-outlier-detection-based Aggregation Algorithm Against Poisoning Attack for Federated Learning.

Chengnuo Deng, Xiaofeng Pan, Keke Ye, Hongmin Gao, Haiquan Wang

Proceedings of the 2023 4th International Conference on Control, 2023

2022

MAT: Motion-aware multi-object tracking.

Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan

Neurocomputing, 2022

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.

Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Hong Wen, Luping Wang, Chengjun Mao, Bo Cao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.

Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao

CoRR, 2021

SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction.

Xiaofeng Pan, Yibin Shen, Jing Zhang, Keren Yu, Hong Wen, Shui Liu, Chengjun Mao, Bo Cao

CoRR, 2021

2020

ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification.

Hongliang Zhang, Shoudong Han, Xiaofeng Pan, Jun Zhao

CoRR, 2020

MAT: Motion-Aware Multi-Object Tracking.

Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan, Jun Zhao

CoRR, 2020

2018

Multi-Level Deep Cascade Trees for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha

CoRR, 2018