Chengbin Hou - RankMe

32 papers A* 4B 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KGC-Explainer: Toward Explainable Knowledge Graph Completion. IEEE Trans. Reliab. Chengbin Hou, Yufan Song, Jiarui Song, William Cheng-Chung Chu, Xiaolu Fei, Jia Li, Hairong Lv
2026	J	`jnl`	Learning to Generate Secure Code via Token-Level Rewards. CoRR Jiazheng Quan, Xiaodong Li, Bin Wang, Guo An, Like Liu, Degen Huang, Lin Liu, Chengbin Hou
2026	J	`jnl`	Parse Trees Guided LLM Prompt Compression. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv
2025	J	`jnl`	Enhancing Noise Robustness of Parkinson's Disease Telemonitoring via Contrastive Feature Augmentation. CoRR Ziming Tang, Chengbin Hou, Tianyu Zhang, Bangxu Tian, Jinbao Wang, Hairong Lv
2025	J	`jnl`	FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks. CoRR Jiarui Song, Yunheng Shen, Chengbin Hou, Pengyu Wang, Jinbao Wang, Ke Tang, Hairong Lv
2025	J	`jnl`	FedAGHN: Personalized federated learning with attentive graph hypernetworks. Knowl. Based Syst. Jiarui Song, Yunheng Shen, Chengbin Hou, Pengyu Wang, Jinbao Wang, Ke Tang, Hairong Lv
2025	J	`jnl`	Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. IEEE Trans. Neural Networks Learn. Syst. Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv
2025	A*	`conf`	Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. AAAI Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang
2025	J	`jnl`	Node importance estimation leveraging LLMs for semantic augmentation in knowledge graphs. Knowl. Based Syst. Xinyu Lin, Tianyu Zhang, Chengbin Hou, Jinbao Wang, Jianye Xue, Hairong Lv
2024	J	`jnl`	Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. CoRR Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv
2024	J	`jnl`	Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. CoRR Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang
2024	—	`conf`	Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. BIBM Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang
2024	J	`jnl`	Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. CoRR Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang
2024	J	`jnl`	Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs. CoRR Xinyu Lin, Tianyu Zhang, Chengbin Hou, Jinbao Wang, Jianye Xue, Hairong Lv
2024	J	`jnl`	Parse Trees Guided LLM Prompt Compression. CoRR Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv
2024	A*	`conf`	Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. ACM Multimedia Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen
2024	J	`jnl`	Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. CoRR Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen
2023	J	`jnl`	Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews. CoRR Chengbin Hou, Xinyu Lin, Hanhui Huang, Sheng Xu, Junxuan Fan, Yukun Shi, Hairong Lv
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR 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
2022	A*	`conf`	GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). ICDE Chengbin Hou, Han Zhang, Shan He, Ke Tang
2022	J	`jnl`	GloDyNE: Global Topology Preserving Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. Chengbin Hou, Han Zhang, Shan He, Ke Tang
2022	—	`—`	Network embedding and its applications. Chengbin Hou
2022	J	`jnl`	Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang
2021	—	`conf`	A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks. ICANN (1) Han Zhang, Chengbin Hou, David W. McDonald, Shan He
2021	J	`jnl`	Robust Dynamic Network Embedding via Ensembles. CoRR Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang
2021	A*	`conf`	Towards Robust Dynamic Network Embedding. IJCAI Chengbin Hou, Ke Tang
2020	J	`jnl`	GloDyNE: Global Topology Preserving Dynamic Network Embedding. CoRR Chengbin Hou, Han Zhang, Shan He, Ke Tang
2020	J	`jnl`	RoSANE: Robust and scalable attributed network embedding for sparse networks. Neurocomputing Chengbin Hou, Shan He, Ke Tang
2019	J	`jnl`	DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding. CoRR Chengbin Hou, Han Zhang, Ke Tang, Shan He
2019	B	`conf`	Learning Topological Representation for Networks via Hierarchical Sampling. IJCNN Guoji Fu, Chengbin Hou, Xin Yao
2019	J	`jnl`	Learning Topological Representation for Networks via Hierarchical Sampling. CoRR Guoji Fu, Chengbin Hou, Xin Yao
2018	J	`jnl`	Attributed Network Embedding for Incomplete Structure Information. CoRR Chengbin Hou, Shan He, Ke Tang