Hongbin Pei

According to our database, Hongbin Pei authored at least 22 papers between 2014 and 2024.

Collaborative distances:

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

2024

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning.

Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generalized Variational Inference via Optimal Transport.

Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LaenNet: Learning robust GCNs by propagating labels.

Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang

Neural Networks, November, 2023

Robust Visual Question Answering: Datasets, Methods, and Future Challenges.

Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao

CoRR, 2023

2022

Social Attentive Deep Q-Networks for Recommender Systems.

Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai

IEEE Trans. Knowl. Data Eng., 2022

Feature Cloud: Improving Deep Visual Recognition With Probabilistic Feature Augmentation.

Jialun Liu, Yifan Sun, Yijin Xu, Hongbin Pei, Wenhui Li

IEEE Trans. Circuits Syst. Video Technol., 2022

Active Surveillance via Group Sparse Bayesian Learning.

Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Definition-Augmented Jointly Training Framework for Intention Phrase Mining.

Denghao Ma, Yueguo Chen, Changyu Wang, Hongbin Pei, Yitao Zhai, Gang Zheng, Qi Chen

Proceedings of the Database Systems for Advanced Applications, 2022

Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification.

Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Neural Explainable Recommender Model Based on Attributes and Reviews.

Yu-Yao Liu, Bo Yang, Hongbin Pei, Jing Huang

J. Comput. Sci. Technol., 2020

Reinforcement Learning based Recommendation with Graph Convolutional Q-network.

Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li

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

Curvature Regularization to Prevent Distortion in Graph Embedding.

Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Geom-GCN: Geometric Graph Convolutional Networks.

Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-Identification.

Jialun Liu, Wenhui Li, Hongbin Pei, Ying Wang, Feng Qu, You Qu, Yuhao Chen

IEEE Access, 2019

Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking.

Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu

IEEE Access, 2019

Social Attentive Deep Q-network for Recommendation.

Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei

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

2018

A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles.

Chenxi Huang, Yisha Lan, Yuchen Liu, Wen Zhou, Hongbin Pei, Longzhi Yang, Yongqiang Cheng, Yongtao Hao, Yonghong Peng

Complex., 2018

Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics.

Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare.

Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede.

Jingbo Zhou, Hongbin Pei, Haishan Wu

CoRR, 2016

2014

Mining Specification of Insecure Browser Extension Behavior.

Hongbin Pei, Xiaohong Li, Guangquan Xu, Zhiyong Feng

Proceedings of the 13th IEEE International Conference on Trust, 2014

Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data.

Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014