| 2025 | Noise Optimized Conditional Diffusion for Domain Adaptation. | Lingkun Luo, Shiqiang Hu, Liming Chen |
| 2025 | Can We Translate Code Better with LLMs and Call Graph Analysis? | Yang Luo |
| 2025 | Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation. | Hang Lu, Liang Du, Peng Zhou |
| 2025 | EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. | Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | Rotation Invariant Spatial Networks for Single-View Point Cloud Classification. | Feng Luan, Jiarui Hu, Changshi Zhou, Zhipeng Wang, Jiguang Yue, Yanmin Zhou, Bin He |
| 2025 | CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation. | Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou |
| 2025 | A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge. | Luca Salvatore Lorello, Marco Lippi, Stefano Melacci |
| 2025 | MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient. | Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou |
| 2025 | A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution. | Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang |
| 2025 | AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection. | Shicheng Li, Jinshan Zhang, Feng Wang |
| 2025 | Learnable Frequency Decomposition for Image Forgery Detection and Localization. | Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha |
| 2025 | CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint). | Jinlin Li, Xiao Zhou |
| 2025 | Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation. | Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu |
| 2025 | Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking. | Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao |
| 2025 | Diffusion Guided Propagation Augmentation for Popularity Prediction. | Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang |
| 2025 | GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers. | Xinyu Li, Qi Yao, Yuanda Wang |
| 2025 | Multi-Sourced Compositional Generalization in Visual Question Answering. | Chuanhao Li, Wenbo Ye, Zhen Li, Yuwei Wu, Yunde Jia |
| 2025 | Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation. | Moqi Li, Xu Yang, Cheng Deng |
| 2025 | Efficient Differentiable Approximation of Generalized Low-rank Regularization. | Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia |
| 2025 | Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach. | Jichen Li, Lijia Xie, Hanting Huang, Bo Zhou, Binfeng Song, Wanying Zeng, Xiaotie Deng, Xiao Zhang |
| 2025 | Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation. | Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun |
| 2025 | Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning. | Minghao Li, Rui Wang, Ming Sun, Lihua Jing |
| 2025 | A Survey on Bandit Learning in Matching Markets. | Shuai Li, Zilong Wang, Fang Kong |
| 2025 | Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model. | Mingxin Li, Wenhao Wang, Hongru Ji, Xianghua Li, Chao Gao |
| 2025 | PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting. | Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang |