| 2025 | ICIP | Robust Multimodal Representation Learning with Information Bottleneck and Balanced Fusion for Alzheimers Disease Classification. | Yulan Dai, Beiji Zou, Xiaoyan Kui, Zexin Ji, Chengzhang Zhu |
| 2025 | IROS | TIETracker: A CLIP-based RGB-T Tracking via Feature Interaction and Semantic Enhancement. | Weidai Xia, Xingliang Mao, Wei Wu, Chengzhang Zhu, Fangfang Li |
| 2025 | MICCAI | Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning. | Haoyue Guan, Yuwei Dai, Shadi Afyouni, Alec Kain, Wen-Chi Hsu, Jiashu Cheng, Sophie Yao, Yuli Wang, Jing Wu, Rishitha Pulakhandam, Lin-Mei Zhao, Chengzhang Zhu, Zhicheng Jiao, Craig Jones, Harrison Bai |
| 2024 | IJCNN | An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation. | Chengzhang Zhu, Renmao Zhang, Yalong Xiao, Beiji Zou, Xian Chai, Zhangzheng Yang, Lan Hua, Xuanchu Duan |
| 2023 | FIE | Combining Gamification and Intelligent Tutoring Systems for Engineering Education. | Ryan Hare, Ying Tang, Chengzhang Zhu |
| 2023 | FIE | Engineering Human Body for Systematic and Computational Thinking. | Chengzhang Zhu, Jeong Eun Ahn, Luobin Cui, Ryan Hare, Ying Tang |
| 2023 | IJCNN | A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location. | Zhuoqun Xia, Hangyu Hu, Wenjing Li, Qisheng Jiang, Chengzhang Zhu, Ziwei Zou |
| 2023 | IJCNN | A Two-stream Channel Cross Enhancement Network for Diabetic Retinopathy Classification. | Zhuoqun Xia, Qisheng Jiang, Wenjing Li, Hangyu Hu, Chengzhang Zhu, Ziwei Zou |
| 2022 | CCGRID | MeDA: Using Blockchain for Patient-Controlled Medical Data Auditing in Institutions. | Beiji Zou, Fanbo Nie, Ling Xiao, Tao Zhang, Chengzhang Zhu |
| 2022 | CGI | GRVT: Toward Effective Grocery Recognition via Vision Transformer. | Shu Liu, Xiaoyu Wang, Chengzhang Zhu, Beiji Zou |
| 2022 | DEXA | A Learned Prefix Bloom Filter for Spatial Data. | Beiji Zou, Meng Zeng, Chengzhang Zhu, Ling Xiao, Zhi Chen |
| 2022 | DEXA | Alps: An Adaptive Load Partitioning Scaling Solution for Stream Processing System on Skewed Stream. | Beiji Zou, Tao Zhang, Chengzhang Zhu, Ling Xiao, Meng Zeng, Zhi Chen |
| 2022 | ICPR | Entity-level Attention Pooling and Information Gating for Document-level Relation Extraction. | Beiji Zou, Zhi Chen, Chengzhang Zhu, Ling Xiao, Meng Zeng |
| 2022 | MICCAI | Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. | Yang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao |
| 2022 | SMC | UHRCS: A High-Throughput Platform for Real-time Cameras-Sampling based on UE4. | Zhijiang Shi, Shuai Ye, Chengzhang Zhu, Yuqi Zhu, Hao Li, Xinhai Xu |
| 2021 | ISPA | HFBT: An Efficient Hierarchical Fault-tolerant Method for Cloud Storage System. | Ling Xiao, Beiji Zou, Chengzhang Zhu, Meng Zeng, Zhi Chen |
| 2020 | DSAA | Mix2Vec: Unsupervised Mixed Data Representation. | Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan |
| 2020 | IJCNN | Expose Your Mask: Smart Ponzi Schemes Detection on Blockchain. | Shuhui Fan, Shaojing Fu, Haoran Xu, Chengzhang Zhu |
| 2019 | ICDAR | Bi-Level Masked Multi-scale CNN-RNN Networks for Short Text Representation. | Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang |
| 2019 | IJCNN | An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem. | Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao |
| 2019 | PAKDD | Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem. | Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao |
| 2018 | ICIP | Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation. | Qi He, Beiji Zou, Chengzhang Zhu, Xiyao Liu, Hongpu Fu, Lei Wang |
| 2018 | IJCAI | CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. | Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun |
| 2018 | IJCNN | Two-stage Unsupervised Multiple Kernel Extreme Learning Machine. | Guohan Zhao, Lingyun Xiang, Chengzhang Zhu, Feng Li |
| 2017 | DSAA | Coupled Bayesian Matrix Factorization in Recommender Systems. | Xueci Zhao, Chengzhang Zhu, Lizhi Cheng |
| 2017 | ICANN | Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings. | Jianglong Song, Chengzhang Zhu, Wentao Zhao, Wenjie Liu, Qiang Liu |
| 2014 | IJCNN | Spectral clustering-based local and global structure preservation for feature selection. | Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin |
| 2014 | IJCNN | A binary feature selection framework in kernel spaces. | Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin |