| 2024 | Fusion of Multi-level Information: Solve Large-Scale Traveling Salesman Problem with an Efficient Framework. | Wenzhao Liu, Congying Han, Tiande Guo, Haoran Li, Zicheng Zhang |
| 2024 | Critical Feature Sifting and Dynamic Aggregation for Anomalous Audio Sequence Detection. | Erteng Liu, Kewei Gao, Xing Zhou, Sen Lin, Jianhai Chen, Yijun Bei, Zunlei Feng |
| 2024 | YOLO-Pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images. | Bowen Liu, Dongjie Chen, Xiao Qi |
| 2024 | Integrating Narrow-Deep Local and Wide-Shallow Global Convolutional Model for Cloud Workload Prediction. | Haohan Liu, Runzi Cui, Yongjin Li, Huaiqing He, Kanghua Hui |
| 2024 | Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning. | Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan |
| 2024 | Massive Multi-agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning. | Mingduo Lin, Guoling Yuan, Bo Zhao, Derong Liu |
| 2024 | FedTS: Leveraging Teacher-Student Architecture in Federated Learning Against Model Heterogeneity in Edge Computing Scenarios. | Zihong Lin, Yucheng Tao, Haopeng Chen |
| 2024 | Ensemble Learning Prediction Based on Comprehensive Factors for Portfolio Optimization. | Chuting Lin, Yumeng Qian, Liang Song, Hanlun Wu, Liming Wang, Yongxuan Lai |
| 2024 | Test-Time Adaptation with Angular Distance-Based Prediction. | Chenhao Li, Lin Li, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2024 | RBHAR: Role-Based Heterogeneous Action Representation in Multi-agent Reinforcement Learning. | Jiaosai Li, Zhen Liu, Zhenfeng Su, Zhiming Zhou |
| 2024 | Knowledge Distillation with Differentiable Optimal Transport on Graph Neural Networks. | Mengyao Li, Yanbin Liu, Ling Chen |
| 2024 | SABE: Structure-Aware Boundary-Enhanced Network for Elementary Topic Unit Extraction in Dialogue. | Maodong Li, Fang Kong |
| 2024 | Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating. | Gang Li, Mingchao Ge, Mingle Zhou, Jin Wan, Delong Han |
| 2024 | Multi-scale Spatial-Angular Information Aggregation Network for Image Semantic Segmentation. | Yiming Li, Ruixuan Cong, Sizhe Wang, Jiahao Shen, Hao Sheng |
| 2024 | STEncoder: Robust Decomposition for Time Series Forecasting. | Junfeng Liao, Ruqing Zhang |
| 2024 | Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. | Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen |
| 2024 | STGCN-DHD: Spatio-Temporal Graph Convolutional Network for EEG-Based Driving Hazard Detection. | Jialong Liang, Weifan Long, Zhe Wang, Peng Zhai, Lihua Zhang |
| 2024 | ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder. | Youzhi Liang, Wen Liang |
| 2024 | BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT Model Pretraining. | Wen Liang, Youzhi Liang |
| 2024 | BBLMixSTE: Barbell Tokenizer for Autism Spectrum Disorder Video Reconstruction. | Chenyang Liang, Jianwei Gu, Xiaoqing Jiang, Haoyu Liu, Peizhi Sun, Jianbin Zhang, Kaiyun Li, Zhenxiang Chen, Peixin Sun |
| 2024 | VAGNN: Advancing the Generalization of Graph Neural Networks. | Shuming Liang, Yu Ding, Bin Liang, Zhidong Li, Siqi Zhang, Yang Wang, Fang Chen |
| 2024 | AttentionMix: A Guided Text Data Augmentation Method Relying on Attention. | Dominik Lewy, Jacek Mandziuk |
| 2024 | MA-Mamba: Multi-Agent Reinforcement Learning with State Space Model. | Yuan Lei, Jian Xue, Lin Zhao, Chao Yue, Ke Lu |
| 2024 | Robust Noise Tolerant Algorithm for Randomized Neural Network. | Wenjie Lei, Chi-Sing Leung, Kwok Wa Leung |
| 2024 | Multi-modal Knowledge Graph Link Prediction via Neural Optimal Transport. | Tianxing Lan, Qingmeng Zhu, Yanan He, Zhipeng Yu, Hao He |