| 2024 | KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. | Mengyuan Ma, Lin Qian, Hujun Yin |
| 2024 | Subgraph Collaborative Graph Contrastive Learning for Recommendation. | Jie Ma, Jiwei Qin, Peichen Ji, Zhibin Yang, Donghao Zhang, Chaoqun Liu |
| 2024 | CurSegNet: 3D Dental Model Segmentation Network Based on Curve Feature Aggregation. | Jiafa Mao, Zhan Liu, Jingke Gu, Chunping Wang, Sixian Chan |
| 2024 | Robotic Model of the Mirror Neuron System: A Revival. | Kristna Malinovsk, Jakub Misovsk |
| 2024 | Improved Multi-hop Reasoning Through Sampling and Aggregating. | Mengyu Luo, Jianxia Chen, Qi Yan, Gaohang Jiang, Shi Dong, Liang Xiao, Zhongwei Huang |
| 2024 | On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. | Thomas Louis, Alain Pegatoquet, Benot Miramond, Adrien Girard |
| 2024 | STformer: Spatio-Temporal Transformer for Multivariate Time Series Anomaly Detection. | Zhengyu Li, Hongjie Zhang, Wei Zheng |
| 2024 | An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. | Yihao Li, Ru Zhang, Jianyi Liu |
| 2024 | Semantics-Preserved Distortion for Personal Privacy Protection in Information Management. | Jiajia Li, Lu Yang, Letian Peng, Shitou Zhang, Ping Wang, Zuchao Li, Hai Zhao |
| 2024 | Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis. | Wen Li, Wenjun Yu, Heming Du, Shouguo Du, Jinhong You, Yiming Tang |
| 2024 | Generative Chain-of-Thought for Zero-Shot Cognitive Reasoning. | Liang Liu, Dong Zhang, Suyang Zhu, Shoushan Li |
| 2024 | SSA-GAT: Graph-Based Self-supervised Learning for Network Intrusion Detection. | Qian Liu, Hui Zhang, Youpeng Zhang, Lin Fan, Xue Jin |
| 2024 | SCST: Spatial Consistent Swin Transformer for Multi-focus Biomedical Microscopic Image Fusion. | Dengpan Liu, Jiacheng Zhang, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou |
| 2024 | Towards Generalizable and Interpretable AI-Modified Image Detectors. | Xinshuang Liu, Yue Zhao |
| 2024 | Image Matting Based on Deep Equilibrium Models. | Xinshuang Liu, Yue Zhao |
| 2024 | Differentiable Largest Connected Component Layer for Image Matting. | Xinshuang Liu, Yue Zhao |
| 2024 | Safe Data Resampling Method Based on Counterfactuals Analysis. | Diwen Liu, Xiaodong Yue, Zhikang Xu |
| 2024 | ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework. | Chengzhi Liu, Zihong Luo, Yifei Bi, Zile Huang, Dong Shu, Jiheng Hou, Hongchen Wang, Kaiyu Liang |
| 2024 | A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification. | Yang Liu, Le Jiang, Guoming Li, Xiaozhou Ye, Ye Ouyang |
| 2024 | WKE: Word-Level Knowledge Enrichment for Aspect Term Extraction. | Chaoqun Liu, Yu Hong, Qingting Xu, Jianming Yao |
| 2024 | LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks. | Hui Liu, Leon Flaack, Shiyao Zhang, Tanja Schultz |
| 2024 | Exploring Interpretable Semantic Alignment for Multimodal Machine Translation. | Guojing Liu, Xiangqian Ding, Nanzhe Ding, Huili Gong, Zhenyu Yang, Xiangyu Qu |
| 2024 | HFDA-Net: Utilizing High-Frequency Feature and Dual-Attention to Enhance Image Manipulation Detection and Localization. | Chengeng Liu, Xu Chen, Tian Xu, Xiangyang Jia |
| 2024 | A Multiscale Resonant Spiking Neural Network for Music Classification. | Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu |
| 2024 | MSIF: Multi-source Information Fusion for Financial Question Answering. | Man Lin, De-Long Zeng, Jiarui Ouyang, Ying Shen |