Chengbin Hou

According to our database, Chengbin Hou authored at least 20 papers between 2018 and 2025.

Collaborative distances:

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

2025

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs.

Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv

IEEE Trans. Neural Networks Learn. Syst., March, 2025

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks.

Jiarui Song, Yunheng Shen, Chengbin Hou, Pengyu Wang, Jinbao Wang, Ke Tang, Hairong Lv

CoRR, January, 2025

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection.

Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs.

Xinyu Lin, Tianyu Zhang, Chengbin Hou, Jinbao Wang, Jianye Xue, Hairong Lv

CoRR, 2024

Parse Trees Guided LLM Prompt Compression.

Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv

CoRR, 2024

Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning.

Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models.

Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews.

Chengbin Hou, Xinyu Lin, Hanhui Huang, Sheng Xu, Junxuan Fan, Yukun Shi, Hairong Lv

CoRR, 2023

2022

Network embedding and its applications.

Chengbin Hou

PhD thesis, 2022

GloDyNE: Global Topology Preserving Dynamic Network Embedding.

Chengbin Hou, Han Zhang, Shan He, Ke Tang

IEEE Trans. Knowl. Data Eng., 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao

CoRR, 2022

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift.

Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang

CoRR, 2022

GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract).

Chengbin Hou, Han Zhang, Shan He, Ke Tang

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

2021

Robust Dynamic Network Embedding via Ensembles.

Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang

CoRR, 2021

Towards Robust Dynamic Network Embedding.

Chengbin Hou, Ke Tang

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

A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks.

Han Zhang, Chengbin Hou, David W. McDonald, Shan He

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

RoSANE: Robust and scalable attributed network embedding for sparse networks.

Chengbin Hou, Shan He, Ke Tang

Neurocomputing, 2020

2019

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding.

Chengbin Hou, Han Zhang, Ke Tang, Shan He

CoRR, 2019

Learning Topological Representation for Networks via Hierarchical Sampling.

Guoji Fu, Chengbin Hou, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Attributed Network Embedding for Incomplete Structure Information.

Chengbin Hou, Shan He, Ke Tang

CoRR, 2018