| 2023 | An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning. | Xu Liu, Yila Su, Nier Wu, Yatu Ji, Qing-Dao-Er-Ji Ren, Lu Min |
| 2023 | Improving Out-of-Distribution Detection with Margin-Based Prototype Learning. | Junzhuo Liu, Yuanyuan Ren, Weiwei Li, Yuchen Zheng, Chenyang Wang |
| 2023 | Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs. | Ye Liu, Yan Pan, Jian Yin |
| 2023 | Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters. | Yao Liu, Wenlong Ni, Yang Bi, Lingyue Lai, Xinyu Zhou, Hua Chen |
| 2023 | Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification. | Mengda Liu, Guibo Luo, Yuesheng Zhu |
| 2023 | Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement. | Gaowen Liu, Huan Liu, Caixia Yan, Yuyang Guo, Rui Li, Sizhe Dang |
| 2023 | Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. | Yao Liu, Binghao Li, Claude Sammut, Lina Yao |
| 2023 | High-Resolution Self-attention with Fair Loss for Point Cloud Segmentation. | Qiyuan Liu, Jinzheng Lu, Qiang Li, Bingsen Huang |
| 2023 | TransCenter: Transformer in Heatmap and a New Form of Bounding Box. | Deqi Liu, Aimin Li, Mengfan Cheng, Dexu Yao |
| 2023 | Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs. | Yanxi Liu, Bo Lang |
| 2023 | Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition. | Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | TPTGAN: Two-Path Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping for Speech Enhancement. | Zhaoyi Liu, Zhuohang Jiang, Wendian Luo, Zhuoyao Fan, Haoda Di, Yufan Long, Haizhou Wang |
| 2023 | An Interpretable Vulnerability Detection Framework Based on Multi-task Learning. | Meng Liu, Xiaohui Han, Wenbo Zuo, Xuejiao Luo, Lei Guo |
| 2023 | Domain-Invariant Task Optimization for Cross-domain Recommendation. | Dou Liu, Qingbo Hao, Yingyuan Xiao, Wenguang Zheng, Jinsong Wang |
| 2023 | CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection. | Zhaoyi Liu, Yuanbo Hou, Haoyu Tang, lvaro Lpez-Chilet, Sam Michiels, Dick Botteldooren, Jon Ander Gmez, Danny Hughes |
| 2023 | EWMIGCN: Emotional Weighting Based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction. | Qing Liu, Qian Gao, Jun Fan |
| 2023 | Three-Dimensional Medical Image Fusion with Deformable Cross-Attention. | Lin Liu, Xinxin Fan, Chulong Zhang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang |
| 2023 | High-Order Control Barrier Function Based Robust Collision Avoidance Formation Tracking of Constrained Multi-agent Systems. | Dan Liu, Junjie Fu |
| 2023 | Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-agent General-Sum Games. | Ziyi Liu, Yongchun Fang |
| 2023 | RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning. | Che Liu, Changde Du, Huiguang He |
| 2023 | A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation. | Xiaoming Liu, Yuanzhe Ding |
| 2023 | Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. | Mingfei Li, Shikui Tu, Lei Xu |
| 2023 | Sharpness-Aware Minimization for Out-of-Distribution Generalization. | Dongqi Li, Zhu Teng, Qirui Li, Ziyin Wang |
| 2023 | PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis. | Jiaming Li, Chuanqi Tao, Donghai Guan |
| 2023 | Long Short-Term Planning for Conversational Recommendation Systems. | Xian Li, Hongguang Shi, Yunfei Wang, Yeqin Zhang, Xubin Li, Cam-Tu Nguyen |