Zhongjian Zhang

According to our database, Zhongjian Zhang authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Data-Centric Graph Learning: A Survey.

Yuxin Guo, Deyu Bo, Cheng Yang, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu, Yufei Peng, Chuan Shi

IEEE Trans. Big Data, February, 2025

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

IEEE Trans. Smart Grid, July, 2024

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi

CoRR, 2024

Endowing Pre-trained Graph Models with Provable Fairness.

Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi

Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the Computational Visual Media - 12th International Conference, 2024

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

Proceedings of the 31st ACM International Conference on Multimedia, 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

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Image Denoising: Methods and Results.

Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

An Inventory of Large-Scale Landslides in Baoji City, Shaanxi Province, China.

Lei Li, Chong Xu, Zhiqiang Yang, Zhongjian Zhang, Mingsheng Lv

Data, 2022

yiriyou@SMM4H'22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks.

Huabin Yang, Zhongjian Zhang, Yanru Zhang

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

2021

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