| 2024 | TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models. | Teng Zhou, Yongchuan Tang |
| 2024 | DINEX: Interpretable NLP via Diversified Natural Language Explanations. | Xugang Zhou, Jindian Su, Weizheng Gu |
| 2024 | Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. | Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye |
| 2024 | Sampling-Based Teacher Guided Method to Boost Transferable Attack on SAR Image Classification. | Aoyang Zhou, Yasmeen M. Khedr, Xin Liu, Kun He |
| 2024 | Rethinking Domain Generalization from Perspective of Gradient Granularity. | Yujie Zhou, Haigen Hu, Qianwei Zhou, Qiu Guan, Mingfeng Jiang |
| 2024 | VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting. | Yunyi Zhou, Ruohan Gao, Xinping Zheng, Yuchen Huang, Zhixuan Chu |
| 2024 | RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images. | Jing Zhou, Chengcheng Guo, Ying Ji |
| 2024 | Empowering Biomedical Named Entity Recognition through Multi-Tagger Collaboration. | Jin Zhao, Jian Xie, Tinghui Zhu, Qian Guo, Zhixu Li, Yanghua Xiao |
| 2024 | High-Quality Human Motion Prediction Using Size Invariant Motion Space. | Haichuan Zhao, Xudong Ru, Peng Du, Shaolong Liu, Na Liu, Xingce Wang, Zhongke Wu |
| 2024 | HAIformer: Human-AI Collaboration Framework for Disease Diagnosis via Doctor-Enhanced Transformer. | Xuehan Zhao, Jiaqi Liu, Yao Zhang, Zhiwen Yu, Bin Guo |
| 2024 | Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. | Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Li, Yiren Zhao |
| 2024 | Learning Order Forest for Qualitative-Attribute Data Clustering. | Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung |
| 2024 | Semantic Augmentation on Motion Manifold for Single-Stream Unsupervised Action Recognition. | Haichuan Zhao, Peng Du, Xudong Ru, Zhongke Wu, Xingce Wang |
| 2024 | Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. | Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci |
| 2024 | Optimal Diffusion Auctions. | Yao Zhang, Shanshan Zheng, Dengji Zhao |
| 2024 | Making Fair Classification via Correlation Alignment. | Jingran Yang, Lingfeng Zhang, Min Zhang |
| 2024 | CLLMFS: A Contrastive Learning Enhanced Large Language Model Framework for Few-Shot Named Entity Recognition. | Yafeng Zhang, Zilan Yu, Yuang Huang, Jing Tang |
| 2024 | Adversarial Erasing Transformer for Weakly Supervised Semantic Segmentation. | Bingfeng Zhang, Siyue Yu, Xuru Gao, Mingjie Sun, Eng Gee Lim, Jimin Xiao |
| 2024 | MIM-HD: Making Smaller Masked Autoencoder Better with Efficient Distillation. | Zherui Zhang, Changwei Wang, Rongtao Xu, Wenhao Xu, Shibiao Xu, Li Guo, Jiguang Zhang, Xiaoqiang Teng, Wenbo Xu |
| 2024 | Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection. | Ruixiao Zhang, Yihong Wu, Juheon Lee, Xiaohao Cai, Adam Prgel-Bennett |
| 2024 | Boundary-Enhanced Instance Segmentation. | Fangyuan Zhang, Tianxiang Pan, Yu-Wing Tai, Bin Wang |
| 2024 | STPDN: Spatio-Temporal Pattern Decomposition Network with Fluctuation Awareness for Robust Traffic Flow Forecasting. | Xudong Zhang, Peng Peng, Xuewen Chen, Yulei Wu, Lingdong Shen, Haina Tang |
| 2024 | Partial Label Learning via Cost-Guided Retraining. | Zhaoyuan Zhang, Zhenbing Liu, Haoxiang Lu |
| 2024 | R | Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang |
| 2024 | Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. | Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng |