Reuse-based software production technology. - Fuqing Yang; Qianxiang Wang; Hong Mei 001; Zhaoliang Chen (Sci. China Ser. F Inf. Sci., 2001)

Multi-View Learning Via Low-Rank Tensor Optimization. - Lele Fu; Zhaoliang Chen; Sujia Huang; Sheng Huang; Shiping Wang (ICME, 2021)

A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition. - Qifan Lin; Zhaoliang Chen; Shiping Wang; Wenzhong Guo (PRCV (2), 2021)

Kernel meets recommender systems: A multi-kernel interpolation for matrix completion. - Zhaoliang Chen; Wei Zhao; Shiping Wang (Expert Syst. Appl., 2021)

Deep random walk of unitary invariance for large-scale data representation. - Shiping Wang; Zhaoliang Chen; William Zhu 001; Fei-Yue Wang 001 (Inf. Sci., 2021)

Differentiable Bi-Sparse Multi-View Co-Clustering. - Shide Du; Zhanghui Liu; Zhaoliang Chen; Wenyuan Yang; Shiping Wang (IEEE Trans. Signal Process., 2021)

Diversity embedding deep matrix factorization for multi-view clustering. - Zexi Chen; Pengfei Lin; Zhaoliang Chen; Dongyi Ye; Shiping Wang (Inf. Sci., 2022)

A review on matrix completion for recommender systems. - Zhaoliang Chen; Shiping Wang (Knowl. Inf. Syst., 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)

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. - Zhaoliang Chen; Zhihao Wu 003; Shiping Wang; Wenzhong Guo (AAAI, 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; et al. (ICKG, 2023)

Efficient and Differentiable Low-Rank Matrix Completion With Back Propagation. - Zhaoliang Chen; Jie Yao; Guobao Xiao; 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)

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning. - Zhihao Wu 003; Xincan Lin; Zhenghong Lin; Zhaoliang Chen; Yang Bai; Shiping Wang (IEEE Trans. Multim., 2023)

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. - Shunxin Xiao; Shide Du; Zhaoliang Chen; Yunhe Zhang 001; Shiping Wang (IEEE Trans. Multim., 2023)

Contrastive Graph Convolutional Networks With Generative Adjacency Matrix. - Luying Zhong; Jinbin Yang; Zhaoliang Chen; Shiping Wang (IEEE Trans. Signal Process., 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, 2023)

Joint learning of feature and topology for multi-view graph convolutional network. - Yuhong Chen; Zhihao Wu 003; Zhaoliang Chen; Mianxiong Dong; Shiping Wang (Neural Networks, 2023)

Towards Multi-view Consistent Graph Diffusion. - Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Shiping Wang (ACM Multimedia, 2024)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Wenzhong Guo (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; et al. (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 002 (CoRR, 2024)

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning. - Haoming Li 019; Zhaoliang Chen; Jonathan Zhang; Fei Liu 004 (CoRR, 2024)

Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic. - Haoming Li 019; Zhaoliang Chen; Songyuan Liu; Yiming Lu; Fei Liu 004 (CoRR, 2024)

Geometric localized graph convolutional network for multi-view semi-supervised classification. - Aiping Huang; Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Yuhong Chen; Shiping Wang; Hehong Zhang (Inf. Sci., 2024)

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. - Zhaoliang Chen; Zhihao Wu 003; Luying Zhong; Claudia Plant; Shiping Wang; Wenzhong Guo (Neural Networks, 2024)

Graph Convolutional Network with elastic topology. - Zhihao Wu 003; Zhaoliang Chen; Shide Du; Sujia Huang; Shiping Wang (Pattern Recognit., 2024)

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification. - Jielong Lu; Zhihao Wu 003; Luying Zhong; Zhaoliang Chen; Hong Zhao 002; Shiping Wang (IEEE Trans. Multim., 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, 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., 2024)

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. - Zhaoliang Chen; Zhihao Wu 003; Zhenghong Lin; Shiping Wang; Claudia Plant; Wenzhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement. - Shuman Zhuang; Zhihao Wu 003; Zhaoliang Chen; Hong-Ning Dai; Ximeng Liu (AAAI, 2025)

Multi-scale structure-guided graph generation for multi-view semi-supervised classification. - Yilin Wu 001; Zhaoliang Chen; Ying Zou 024; Shiping Wang; Wenzhong Guo (Expert Syst. Appl., 2025)

Heterogeneous Graph Embedding with Dual Edge Differentiation. - Yuhong Chen; Fuhai Chen; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Yanchao Tan; Shiping Wang (Neural Networks, 2025)

Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction. - Weihong Lin; Zhaoliang Chen; Yuhong Chen; Shiping Wang (Neural Networks, 2025)

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. - Luying Zhong; Zhaoliang Chen; Zhihao Wu 003; Shide Du; Zheyi Chen; Shiping Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals. - Zhaoliang Chen; Cheng Ding; Saurabh Kataria 001; Runze Yan; Minxiao Wang; Randall J. Lee; Xiao Hu 002 (CoRR, 2025)

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities. - Haoming Li 019; Zhaoliang Chen; Jonathan Zhang; Fei Liu 004 (CoRR, 2025)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Yiu-Ming Cheung; Wenzhong Guo (IEEE Trans. Knowl. Data Eng., 2025)

Dissecting vulnerability in information fusion process of Graph Convolutional Networks. - Shuman Zhuang; Zhihao Wu 003; Jicong Fan 001; Zhaoliang Chen; Jiali Yin; Wei Huang 013; Ximeng Liu (Inf. Fusion, 2026)