Nighttime Pedestrian Detection with Near Infrared using Cascaded Classifiers. - Jianfei Dong; Junfeng Ge; Yupin Luo (ICIP (6), 2007)

Asymmetric Learning for Pedestrian Detection Based on Joint Local Orientation Histograms. - Junfeng Ge; Yupin Luo (ISNN (1), 2009)

Real-Time Pedestrian Detection and Tracking at Nighttime for Driver-Assistance Systems. - Junfeng Ge; Yupin Luo; Gyomei Tei (IEEE Trans. Intell. Transp. Syst., 2009)

The Transient Temperature Field Measurement System for Laser Bonding Process. - Junfeng Ge; Yuneng Lai; Yuanhao Huang; Jianhua Zhang (ICIRA (2), 2012)

The Wireless Communications for Unmanned Surface Vehicle: An Overview. - Junfeng Ge; Tao Li; Tao Geng (ICIRA (1), 2018)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

Privileged Features Distillation for E-Commerce Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Hanxiao Sun; Wenwu Ou (CoRR, 2019)

Privileged Features Distillation at Taobao Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Fei Sun 001; Jian Wu 032; Hanxiao Sun; Wenwu Ou (KDD, 2020)

Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation. - Wenhui Yu; Xiao Lin; Junfeng Ge; Wenwu Ou; Zheng Qin 003 (KDD, 2020)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM, 2021)

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model. - Qiwei Chen; Changhua Pei; Shanshan Lv; Chao Li; Junfeng Ge; Wenwu Ou (CoRR, 2021)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. - Qiwei Chen; Yue Xu; Changhua Pei; Shanshan Lv; Tao Zhuang; Junfeng Ge (CoRR, 2022)

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking. - Xu Yuan; Chen Xu; Qiwei Chen; Tao Zhuang; Hongjie Chen; Chao Li; Junfeng Ge (CoRR, 2022)

Self-Propagation Graph Neural Network for Recommendation. - Wenhui Yu; Xiao Lin; Jinfei Liu; Junfeng Ge; Wenwu Ou; Zheng Qin 003 (IEEE Trans. Knowl. Data Eng., 2022)

Multi-factor Sequential Re-ranking with Perception-Aware Diversification. - Yue Xu; Hao Chen 062; Zefan Wang; Jianwen Yin; Qijie Shen; Dimin Wang; Feiran Huang; Lixiang Lai; Tao Zhuang; Junfeng Ge; Xia Hu 001 (KDD, 2023)

Multi-channel Integrated Recommendation with Exposure Constraints. - Yue Xu; Qijie Shen; Jianwen Yin; Zengde Deng; Dimin Wang; Hao Chen 062; Lixiang Lai; Tao Zhuang; Junfeng Ge (KDD, 2023)

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. - Ruiming Tang; Xiaoqiang Zhu; Junfeng Ge; Kuang-chih Lee; Biye Jiang; Xingxing Wang; Han Zhu 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)

Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System. - Shanshan Lyu; Qiwei Chen; Tao Zhuang; Junfeng Ge (CoRR, 2023)