A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data. - Zhengjing Ma; Gang Mei; Edoardo Prezioso; Zhongjian Zhang; Nengxiong Xu (Neural Comput. Appl., 2021)

yiriyou@SMM4H'22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks. - Huabin Yang; Zhongjian Zhang; Yanru Zhang (SMM4H@COLING, 2022)

An Inventory of Large-Scale Landslides in Baoji City, Shaanxi Province, China. - Lei Li; Chong Xu; Zhiqiang Yang; Zhongjian Zhang; Mingsheng Lv (Data, 2022)

Inventory and Distribution Characteristics of Large-Scale Landslides in Baoji City, Shaanxi Province, China. - Lei Li; Chong Xu; Xiwei Xu; Zhongjian Zhang; Jia Cheng (ISPRS Int. J. Geo Inf., 2022)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

Team Noir at Factify 2: Multimodal Fake News Detection with Pre-trained CLIP and Fusion Network. - Zhongjian Zhang; Huabin Yang; Chenghao Huang; Yanru Zhang (DE-FACTIFY@AAAI, 2023)

Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models. - Kangshuai Guo; Shichao Luo; Ming Liang; Zhongjian Zhang; Huabin Yang; Yan Wang; Yingjie Zhou (IJCNN, 2023)

Double-Fine-Tuning Multi-Objective Vision-and-Language Transformer for Social Media Popularity Prediction. - Xiaolu Chen; Weilong Chen; Chenghao Huang; Zhongjian Zhang; Lixin Duan; Yanru Zhang (ACM Multimedia, 2023)

A U-Shaped Spatio-Temporal Transformer as Solver for Motion Capture. - Huabin Yang; Zhongjian Zhang; Yan Wang; Deyu Guan; Kangshuai Guo; Yu Chang; Yanru Zhang (CVM (1), 2024)

Endowing Pre-trained Graph Models with Provable Fairness. - Zhongjian Zhang; Mengmei Zhang; Yue Yu 007; Cheng Yang 002; Jiawei Liu 006; Chuan Shi 001 (WWW, 2024)

Market-Level Integrated Detection Against Cyber Attacks in Real-Time Market Operations by Self-Supervised Learning. - Zhongjian Zhang; Shengrong Bu; Yanru Zhang; Zhu Han 001 (IEEE Trans. Smart Grid, 2024)

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. - Zhongjian Zhang; Mengmei Zhang; Xiao Wang 017; Lingjuan Lyu; Bo Yan 005; Junping Du 001; Chuan Shi 001 (AAAI, 2025)

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? - Zhongjian Zhang; Xiao Wang 017; Huichi Zhou; Yue Yu 007; Mengmei Zhang; Cheng Yang 002; Chuan Shi 001 (KDD (1), 2025)

Data-Centric Graph Learning: A Survey. - Yuxin Guo; Deyu Bo; Cheng Yang 002; Zhiyuan Lu; Zhongjian Zhang; Jixi Liu; Yufei Peng; Chuan Shi 001 (IEEE Trans. Big Data, 2025)

Data-centric Federated Graph Learning with Large Language Models. - Bo Yan 005; Zhongjian Zhang; Huabin Sun; Mengmei Zhang; Yang Cao 011; Chuan Shi 001 (CoRR, 2025)