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2020 – today
- 2025
[i3]Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yang, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, JoonKyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu
, Hui Li, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen:
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. CoRR abs/2509.14142 (2025)- 2024
- [c10]Taofeng Xue, Zhimin Lin, Zijian Zhang, Linsen Guo, Haoru Chen, Mengjiao Bao, Peng Yan:
Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction. RecSys Challenge 2024: 53-57 - 2022
- [j2]Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue, Jiageng Song:
Modeling user interactions by feature-augmented graph neural networks for recommendation. CCF Trans. Pervasive Comput. Interact. 4(3): 207-218 (2022) - [c9]Wenchao Xiu, Yiran Wang, Taofeng Xue, Kai Zhang, Qin Zhang, Zhonghuo Wu, Yifan Yang, Gong Zhang:
DDEN: A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network. SIGIR 2022: 3355-3359 - 2021
- [c8]Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou:
A Behavior-Aware Graph Convolution Network Model for Video Recommendation. APWeb/WAIM (2) 2021: 279-294 - [c7]Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue:
Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks. DASFAA (3) 2021: 315-320 - [c6]Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue:
Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks. PAKDD (2) 2021: 373-385 - [i2]Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue:
Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks. CoRR abs/2103.05923 (2021) - [i1]Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou:
A Behavior-aware Graph Convolution Network Model for Video Recommendation. CoRR abs/2106.15402 (2021) - 2020
- [j1]Zhao-Yang Wang, Beihong Jin, Tingjian Ge, Taofeng Xue:
Detecting Anomalous Bus-Driving Behaviors from Trajectories. J. Comput. Sci. Technol. 35(5): 1047-1063 (2020) - [c5]Jialong Zou, Guoli Wu, Taofeng Xue, Qingfeng Wu:
An Affinity-Driven Relation Network for Figure Question Answering. ICME 2020: 1-6 - [c4]Taofeng Xue, Xinzhou Dong, Wei Zhuo, Beihong Jin, He Chen, Wenhai Pan, Beibei Li, Xuejian Zhang:
Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation. ECML/PKDD (4) 2020: 19-35
2010 – 2019
- 2019
- [c3]Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian:
A Spatio-temporal Recommender System for On-demand Cinemas. CIKM 2019: 1553-1562 - [c2]Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian:
Spatial-Temporal Recommendation for On-demand Cinemas. DASFAA (3) 2019: 373-377 - [c1]Beibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian:
Cold-Start Recommendation for On-Demand Cinemas. ECML/PKDD (3) 2019: 499-515
Coauthor Index
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