| 2025 | SPOFormer: Enhancing Prior Learning for Multi-View 3D Occupancy Perception via Semantic-Aware Attention. | Ruihang Li, Huangnan Zheng, Zhe Yin, Kaikai Xiao, Hong Li, Zhijie Pan |
| 2025 | Memory Prompt for Multi-Modal Visual Object Tracking. | Xueqi Li, Yongjun Zhang, Jianqiang Xia, Fang Dong, Yuanyuan Wang, Yushe Cao, Junze Zhang, Dianxi Shi |
| 2025 | Adaptive Graph Pruning for Multi-Agent Communication. | Boyi Li, Zhonghan Zhao, Der-Horng Lee, Gaoang Wang |
| 2025 | LaPNER: Label-Aware Prompt Learning with Non-Entity Clustering Regularization for Few-Shot NER. | Mark Junjie Li, Tao Zou, Sunjie Huang, Yigang Lin, Qilong Gong, Jun Li |
| 2025 | Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms. | Fengyun Li, Chao Zheng, Yangyang Fang, Jialiang Lan, Jianhua Liang, Luhao Zhang, Fa Si |
| 2025 | Don't Stop Pre-Training Small Language Models for Continual Enhancement of Reasoning. | Qing Li, Qibin Zheng, Yi Liu, Xingchun Diao |
| 2025 | Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation. | Xinran Li, Xiujuan Xu, Jiaqi Qiao |
| 2025 | LaMamba: Layer-Aware Mamba with Frequency-Spatial Fusion for Remote Sensing Image Super-Resolution. | Mingyue Li, Chengyi Xiong, Zhirong Gao, Jiayi Ma |
| 2025 | A Compositional Framework for On-the-Fly LTL | Yongkang Li, Shengping Xiao, Shufang Zhu, Jianwen Li, Geguang Pu |
| 2025 | Feature Drift Oriented Distribution Reconstruction for Imbalanced Class Incremental Learning. | Tingmin Li, Fengqiang Wan, Yipeng Lin, Yang Yang |
| 2025 | MInF: Multi-Band Invariant Feature Learning for Efficient Inertial Navigation. | Yan Li, Yingying Wang |
| 2025 | Enhancing Learning of Spiking Neural Networks Through Normalization with Time-Based Statistics Estimation. | Lei Liu, Chengting Yu, Kainan Wang, Aili Wang |
| 2025 | Measuring Ageism in Large Language Models. | Shuo Liu, Jiaoyun Yang, Yulong Li, Hongtu Chen, Ning An |
| 2025 | DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning. | Bohan Liu, Yang Xiao, Ruimeng Ye, Zinan Ling, Xiaolong Ma, Bo Hui |
| 2025 | Degree of Staleness-Aware Data Updating in Federated Learning. | Tao Liu, Xuehe Wang |
| 2025 | AIRES: A General Framework for Efficient Intrinsic Rewards Based on Attention Mechanisms. | Xin Liu, Jie Tan, Li Shen, Xu Wang, Guoli Wu, Xiaoguang Ren, Huadong Dai |
| 2025 | Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models. | Xin Liu, Qiyang Song, Shaowen Xu, Kerou Zhou, Wenbo Jiang, Xiaoqi Jia, Weijuan Zhang, Heqing Huang, Yakai Li |
| 2025 | Rethinking the Effect of LoRA in Foundation Models for Long-Tailed Recognition. | Haowei Liu, Shijia Sun, Liang Chen |
| 2025 | DAT-CRF: Improving the Directed Acyclic Transformer with CRF Integration. | Shijie Li, Inigo Jauregi Unanue, Massimo Piccardi |
| 2025 | Towards Mitigation of Hallucination for LLM-Empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor. | Siyuan Liu, Wenjing Liu, Zhiwei Xu, Xin Wang, Bo Chen, Tao Li |
| 2025 | DialogGraph-LLM: Graph-Informed LLMs for End-to-End Audio Dialogue Intent Recognition. | HongYu Liu, Junxin Li, Changxi Guo, Hao Chen, Yaqian Huang, Yifu Guo, Huan Yang, Lihua Cai |
| 2025 | Paeformer: Patch-Wise Representation Learning with Autoencoder for Multivariate Time Series Forecasting. | Kun Liu, Zhongjie Duan, Cen Chen |
| 2025 | Learning Marked Temporal Point Process Explanations Based on Counterfactual and Factual Reasoning. | Sishun Liu, Ke Deng, Xiuzhen Zhang, Yan Wang |
| 2025 | C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets. | Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei |
| 2025 | A Frequency-Temporal Causal Inference Guided Adversarial Network for Cross-Subject MI-BCI Decoding. | Yuan Li, Diwei Su, Xiangcun Wang, Hongxi Zhao, Jiacai Zhang |