Wei Guo

According to our database, Wei Guo authored at least 33 papers between 2016 and 2024.

Collaborative distances:

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

2024

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.

Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang

ACM Trans. Inf. Syst., January, 2024

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.

Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction.

Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li

CoRR, 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.

Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances.

Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hierarchical Projection Enhanced Multi-behavior Recommendation.

Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.

Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Survey on User Behavior Modeling in Recommender Systems.

Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.

Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.

Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen

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

Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems.

Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan

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

DFFM: Domain Facilitated Feature Modeling for CTR Prediction.

Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang

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

2022

Cross Pairwise Ranking for Unbiased Item Recommendation.

Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-Behavior Sequential Transformer Recommender.

Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang

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

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.

Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.

Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.

Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.

Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Dual Graph enhanced Embedding Neural Network for CTR Prediction.

Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Learning for Click-Through Rate Estimation.

Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.

Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction.

Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.

Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-Branch Convolutional Network for Context-Aware Recommendation.

Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.

Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.

Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.

Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Order-aware Embedding Neural Network for CTR Prediction.

Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network.

Wei Guo, Wen Yang, Haijian Zhang, Guang Hua

Remote. Sens., 2018

Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles.

Jinwang Wang, Wei Guo, Ting Pan, Huai Yu, Lin Duan, Wen Yang

Proceedings of the 21st International Conference on Information Fusion, 2018

2016

Power Transmission Tower Series Extraction in PolSAR Image Based on Time-Frequency Analysis and A-Contrario Theory.

Dongqing Peng, Haijian Zhang, Wei Guo, Wen Yang

Sensors, 2016

Automatic extraction of linear arranged targets from polarimetric SAR imagery.

Wei Guo, Kaimin Fu, Pingping Huang, Wen Yang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016