| 2024 | A Motif-Based Graph Convolution Network for Stock Trend Prediction. | Lei Zhou, Yuqi Zhang, Nancy Wang, Jian Yu, Guiling Wang, Xin Zheng |
| 2024 | 3VNet: Topological-Structure Driven Triple-V Network for Retinal Vessel Segmentation. | Wei Zhou, Xiaorui Wang, Bin Zhou, Yugen Yi |
| 2024 | AIM-MIL: Adversarial Instance Mining for Robust Multi-instance Learning in Whole Slide Image Classification. | Biyun Zhou, Chengliang Wang, Xing Wu, Peng Wang, Haidong Wang, Hongqian Wang |
| 2024 | Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis. | Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen |
| 2024 | Active Learning by Feature Perturbation for Medical Image Classification. | Yuping Zhong, Guoqiang Han, Zhenwei Shi, Zaiyi Liu, Chu Han, Jiatai Lin |
| 2024 | Ranking Region-Based OD-Betweenness Centrality in Road Networks. | Zhixiao Zheng, Lei Li, Mengxuan Zhang, Wen Hua, Ziyi Liu |
| 2024 | On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. | Ziwei Zheng, Huizhi Liang, Vclav Snsel, Vito Latora, Panos M. Pardalos, Guiseppe Nicosia, Varun Ojha |
| 2024 | XFusion: Cross-Attention Transformer for Multi-focus Image Fusion. | Shouxi Zhao, Tianren Zhang, Qin Zou, Chi Chen, Zhongyuan Wang |
| 2024 | Certified Patch Defense via Dual Mask-Preservation Prediction. | Ziming Zhao, Jun Yan, Huilin Yin |
| 2024 | Improved Approximation Algorithms for the Cumulative Vehicle Routing Problem. | Jingyang Zhao, Mingyu Xiao |
| 2024 | LCNet: Lightning Hierarchical Convolution for Occupancy Flow Prediction. | Yanjie Zhao, Zhongwen Xiao |
| 2024 | MmFormer: A Novel Multi-scale and Multi-period Transformer Model for Irregular Periodic Network Traffic Prediction. | Xuan Zhao, Qiongxia Shen, Bo Li, Chenxu Liu |
| 2024 | Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics. | Pengcheng Zhao, Yanxiang Chen, Yang Zhao, Zhao Zhang |
| 2024 | Adaptive Retrieval-Based Gradient Planning for Offline Multi-context Model-Based Optimization. | Haoran Zhao, Mingcheng Chen, Weinan Zhang, Yong Yu |
| 2024 | Decentralized Extension for Centralized Multi-Agent Reinforcement Learning via Online Distillation. | Zeren Zhang, Bin Zhang, Guangchong Zhou, Dapeng Li, Zhiwei Xu, Guoliang Fan |
| 2024 | Cross-Feature Interactive Fusion for Speech Emotion Recognition. | Jianan Zhang, Peng Zhang, Fuqiang Wang, Wei Zhao, Xiaoming Wu |
| 2024 | LSReGen: Large-Scale Regional Generator via Backward Guidance Framework. | Bowen Zhang, Cheng Yang, Xuanhui Liu |
| 2024 | In-Context Learning for Temperature Field Reconstruction Under Multiple Layouts. | Wenzhe Zhang, Zixue Xiang, Ming Sun, Wen Yao |
| 2024 | PaPa: Propagation Pattern Enhanced Prompt Learning for Zero-Shot Rumor Detection. | Heng Zhang, Peng Wu, Li Pan |
| 2024 | Learning Granularity Representation for Temporal Knowledge Graph Completion. | Jinchuan Zhang, Tianqi Wan, Chong Mu, Guangxi Lu, Ling Tian |
| 2024 | Guided DiffusionDet: Guided Diffusion Model for Object Detection with Resample Mechanism. | Zhiyu Zhang, Zhiqiang Tian, Hao Luo, Gang Zhou |
| 2024 | Multimodal Emotion Recognition by Fusing Video Semantics in Video Learning Scenarios. | Yuan Zhang, Xiaomei Tao, Hanxu Ai, Tao Chen, Yanling Gan |
| 2024 | Contrastive Diffusion Generative Adversarial Network for Generalized Zero-Shot Learning. | Zhuoer Zhang, Kezhen Qiu, Yijie Wang, Mingjian Hong, Li You, Sheng Huang |
| 2024 | Aesthetics-Guided Multi-scale Feature Fusion for Style Transfer. | Ruofan Zhang, Xuezhong Qian, Wei Song |
| 2024 | Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM. | Han Zhang, Xiao Li, Yaonai Wei, Chenjie Jia, Qitai Sun, Xiaowei He, Yudan Ren, Tuo Zhang |