Hao Chen

According to our database, Hao Chen authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Collaborative Graph Neural Networks for Attributed Network Embedding.

Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu

IEEE Trans. Knowl. Data Eng., March, 2024

Structure Guided Large Language Model for SQL Generation.

Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang

CoRR, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.

Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang

CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.

Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang

CoRR, 2024

2023

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.

Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Aligning Distillation For Cold-start Item Recommendation.

Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-channel Integrated Recommendation with Exposure Constraints.

Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge

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

Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu

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

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.

Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.

Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu

Proceedings of the IEEE International Conference on Data Mining, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.

Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang

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

2022

Neighbor enhanced graph convolutional networks for node classification and recommendation.

Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li

Knowl. Based Syst., 2022

Flattened Graph Convolutional Networks For Recommendation.

Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang

CoRR, 2022

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations.

Hao Chen, Zefan Wang, Yue Xu, Xiao Huang, Feiran Huang

CoRR, 2022

Generative Adversarial Framework for Cold-Start Item Recommendation.

Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li

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

2021

Deep Attentive Multimodal Network Representation Learning for Social Media Images.

Feiran Huang, Chaozhuo Li, Boyu Gao, Yun Liu, Sattam Alotaibi, Hao Chen

ACM Trans. Internet Techn., 2021

Non-Recursive Graph Convolutional Networks.

Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.

Senzhang Wang, Jiannong Cao, Hao Chen, Hao Peng, Zhiqiu Huang

ACM Trans. Spatial Algorithms Syst., 2020

Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.

Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2020

Single-Layer Graph Convolutional Networks For Recommendation.

Yue Xu, Hao Chen, Zengde Deng, Junxiong Zhu, Yanghua Li, Peng He, Wenyao Gao, Wenjun Xu

CoRR, 2020

Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.

Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang

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

Label-Aware Graph Convolutional Networks.

Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li

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

Graph Unfolding Networks.

Hao Chen, Wenbing Huang, Yue Xu, Fuchun Sun, Zhoujun Li

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

2019

Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.

Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li

CoRR, 2019

FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction.

Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Unrest News Amount Prediction with Context-Aware Attention LSTM.

Xiuling Wang, Hao Chen, Zhoujun Li, Zhonghua Zhao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018