Zhaoliang Chen

According to our database, Zhaoliang Chen authored at least 40 papers between 2001 and 2026.

Collaborative distances:

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

2026

Dissecting vulnerability in information fusion process of Graph Convolutional Networks.

Shuman Zhuang, Zhihao Wu, Jicong Fan, Zhaoliang Chen, Jiali Yin, Wei Huang, Ximeng Liu

Inf. Fusion, 2026

2025

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks.

Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Yiu-Ming Cheung, Wenzhong Guo

IEEE Trans. Knowl. Data Eng., September, 2025

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities.

Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu

CoRR, April, 2025

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals.

Zhaoliang Chen, Cheng Ding, Saurabh Kataria, Runze Yan, Minxiao Wang, Randall J. Lee, Xiao Hu

CoRR, March, 2025

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck.

Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, Shiping Wang

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

Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction.

Weihong Lin, Zhaoliang Chen, Yuhong Chen, Shiping Wang

Neural Networks, 2025

Heterogeneous Graph Embedding with Dual Edge Differentiation.

Yuhong Chen, Fuhai Chen, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Yanchao Tan, Shiping Wang

Neural Networks, 2025

Multi-scale structure-guided graph generation for multi-view semi-supervised classification.

Yilin Wu, Zhaoliang Chen, Ying Zou, Shiping Wang, Wenzhong Guo

Expert Syst. Appl., 2025

Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement.

Shuman Zhuang, Zhihao Wu, Zhaoliang Chen, Hong-Ning Dai, Ximeng Liu

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

2024

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing.

Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion.

Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, Shiping Wang

Inf. Sci., February, 2024

Multi-View Graph Convolutional Networks with Differentiable Node Selection.

Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo

ACM Trans. Knowl. Discov. Data, January, 2024

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.

Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang

IEEE Trans. Multim., 2024

Graph Convolutional Network with elastic topology.

Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang

Pattern Recognit., 2024

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo

Neural Networks, 2024

Geometric localized graph convolutional network for multi-view semi-supervised classification.

Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang

Inf. Sci., 2024

Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic.

Haoming Li, Zhaoliang Chen, Songyuan Liu, Yiming Lu, Fei Liu

CoRR, 2024

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning.

Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu

CoRR, 2024

SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals.

Cheng Ding, Zhicheng Guo, Zhaoliang Chen, Randall J. Lee, Cynthia Rudin, Xiao Hu

CoRR, 2024

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis.

Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks.

Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Wenzhong Guo

CoRR, 2024

Towards Multi-view Consistent Graph Diffusion.

Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang

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

2023

Joint learning of feature and topology for multi-view graph convolutional network.

Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang

Neural Networks, November, 2023

Learnable graph convolutional network and feature fusion for multi-view learning.

Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang

Inf. Fusion, July, 2023

Contrastive Graph Convolutional Networks With Generative Adjacency Matrix.

Luying Zhong, Jinbin Yang, Zhaoliang Chen, Shiping Wang

IEEE Trans. Signal Process., 2023

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering.

Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang

IEEE Trans. Multim., 2023

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning.

Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, Shiping Wang

IEEE Trans. Multim., 2023

Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering.

Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang

IEEE Trans. Multim., 2023

Efficient and Differentiable Low-Rank Matrix Completion With Back Propagation.

Zhaoliang Chen, Jie Yao, Guobao Xiao, Shiping Wang

IEEE Trans. Multim., 2023

A Study Case of Automatic Archival Research and Compilation using Large Language Models.

Dongsheng Guo, Aizhen Yue, Fanggang Ning, Dengrong Huang, Bingxin Chang, Qiang Duan, Lianchao Zhang, Zhaoliang Chen, Zheng Zhang, Enhao Zhan, Qilai Zhang, Kai Jiang, Rui Li, Shaoxiang Zhao, Zizhong Wei

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks.

Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.

Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin

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

A review on matrix completion for recommender systems.

Zhaoliang Chen, Shiping Wang

Knowl. Inf. Syst., 2022

Diversity embedding deep matrix factorization for multi-view clustering.

Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, Shiping Wang

Inf. Sci., 2022

2021

Differentiable Bi-Sparse Multi-View Co-Clustering.

Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang

IEEE Trans. Signal Process., 2021

Deep random walk of unitary invariance for large-scale data representation.

Shiping Wang, Zhaoliang Chen, William Zhu, Fei-Yue Wang

Inf. Sci., 2021

Kernel meets recommender systems: A multi-kernel interpolation for matrix completion.

Zhaoliang Chen, Wei Zhao, Shiping Wang

Expert Syst. Appl., 2021

A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition.

Qifan Lin, Zhaoliang Chen, Shiping Wang, Wenzhong Guo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-View Learning Via Low-Rank Tensor Optimization.

Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2001

Reuse-based software production technology.

Fuqing Yang, Qianxiang Wang, Hong Mei, Zhaoliang Chen

Sci. China Ser. F Inf. Sci., 2001