| 2023 | Naturalistic Emotion Recognition Using EEG and Eye Movements. | Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | Graph Reinforcement Learning for Securing Critical Loads by E-Mobility. | Borui Zhang, Chaojie Li, Boyang Hu, Xiangyu Li, Rui Wang, Zhaoyang Dong |
| 2023 | Efficient Attention for Domain Generalization. | Zhongqiang Zhang, Ge Liu, Fuhan Cai, Duo Liu, Xiangzhong Fang |
| 2023 | Sub-Instruction and Local Map Relationship Enhanced Model for Vision and Language Navigation. | Yong Zhang, Yinlin Li, Jihe Bai, Yi Feng, Mo Tao |
| 2023 | Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQA. | Lihui Zhang, Ruifan Li |
| 2023 | Contrastive Kernel Subspace Clustering. | Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu |
| 2023 | Vessel Behavior Anomaly Detection Using Graph Attention Network. | Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu |
| 2023 | Curve Enhancement: A No-Reference Method for Low-Light Image Enhancement. | Zhixiang Zhang, Shan Jiang |
| 2023 | Learning Stable Nonlinear Dynamical System from One Demonstration. | Yu Zhang, Lijun Han, Zirui Wang, Xiuze Xia, Houcheng Li, Long Cheng |
| 2023 | Efficient Mobile Robot Navigation Based on Federated Learning and Three-Way Decisions. | Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Feng Cao, Baoli Wang |
| 2023 | Responsive CPG-Based Locomotion Control for Quadruped Robots. | Yihui Zhang, Cong Hu, Binbin Qiu, Ning Tan |
| 2023 | A Stochastic Gradient-Based Projection Algorithm for Distributed Constrained Optimization. | Keke Zhang, Shanfu Gao, Yingjue Chen, Zuqing Zheng, Qingguo L |
| 2023 | Dual-Enhancement Model of Entity Pronouns and Evidence Sentence for Document-Level Relation Extraction. | Yurui Zhang, Boda Feng, Hui Gao, Peng Zhang, Wenmin Deng, Jing Zhang |
| 2023 | Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning. | Yanqiang Zhang, Dawei Feng, Bo Ding |
| 2023 | Interactive Selection Recommendation Based on the Multi-head Attention Graph Neural Network. | Shuxi Zhang, Jianxia Chen, Meihan Yao, Xinyun Wu, Yvfan Ge, Shu Li |
| 2023 | Dual-Branch Contrastive Learning for Network Representation Learning. | Hu Zhang, Junnan Cao, Kunrui Li, Yujie Wang, Ru Li |
| 2023 | Block-Matching Multi-pedestrian Tracking. | Chao Zhang |
| 2023 | Light Field Image Super-Resolution via Global-View Information Adaption and Angular Attention Fusion. | Wei Zhang, Wei Ke, Hao Sheng |
| 2023 | Learning Discriminative Semantic and Multi-view Context for Domain Adaptive Few-Shot Relation Extraction. | Minghui Zhai, Feifei Dai, Xiaoyan Gu, Haihui Fan, Dong Liu, Bo Li |
| 2023 | Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles. | Ewa Zeslawska, Zbigniew Gomolka, Ewa Dudek-Dyduch |
| 2023 | A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing. | Jielin Zeng, Jiaqi Liang, Xiaoxuan Wang, Linjing Li, Daniel Zeng |
| 2023 | PatchFinger: A Model Fingerprinting Scheme Based on Adversarial Patch. | Bo Zeng, Kunhao Lai, Jianpeng Ke, Fangchao Yu, Lina Wang |
| 2023 | Towards Undetectable Adversarial Examples: A Steganographic Perspective. | Hui Zeng, Biwei Chen, Rongsong Yang, Chenggang Li, Anjie Peng |
| 2023 | Feature-Fusion-Based Haze Recognition in Endoscopic Images. | Zhe Yu, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Zeng-Guang Hou |
| 2023 | IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification. | Mengxin Yu, Yuang Zhang, Haihui Liu, Xiaona Wu, Mingsen Du, Xiaojie Liu |