| 2024 | ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. | Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Sophia Ananiadou |
| 2024 | MCAHNN: Multi-Channel EEG Emotion Recognition Using Attention Mechanism Based on Householder Reflection. | Qinglong Liu, Wenhao Jiang, Shihang Ding, Kaixuan Wang, Hongjian Bo, Cong Xu, Lin Ma, Haifeng Li |
| 2024 | CLIP-based Cross-Level Semantic Interaction and Recombination Network for Composed Image Retrieval. | Zhihang Liu, Qiang Huang, Yingying Zhu |
| 2024 | Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. | Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao |
| 2024 | Segmentation-Driven Image Enhancement Based on Deep Reinforcement Learning. | Yihong Liu, Zishang Chen, Yukang Cui, Piji Li |
| 2024 | SelfBC: Self Behavior Cloning for Offline Reinforcement Learning. | Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu |
| 2024 | Differentiable Neural Network for Assembling Blocks. | Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo |
| 2024 | Dual Attention Encoder with Joint Preservation for Medical Image Segmentation. | Shijie Li, Yunbin Tu, Yu Gong, Bowen Zhong, Zheng Li |
| 2024 | First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending. | Zhenhang Li, Yan Shu, Weichao Zeng, Dongbao Yang, Yu Zhou |
| 2024 | A Multi-Agent Reinforcement Learning Algorithm Embedded with Opponent Modeling. | Shun Li, Xiao Su, Bing Shi |
| 2024 | MC-SORT: A Motion Correction-Based Framework for Long-Term Multiple Object Tracking. | Xiangyu Li, Yunchuan Qin, Ruihui Li, Guanghua Tan, Zhuo Tang, Kenli Li |
| 2024 | TEOcc: Radar-Camera Multi-Modal Occupancy Prediction via Temporal Enhancement. | Zhiwei Lin, Hongbo Jin, Yongtao Wang, Yufei Wei, Nan Dong |
| 2024 | Analogical Classifier as a Surrogate for Explanations. | Suryani Lim, Henri Prade, Gilles Richard |
| 2024 | SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. | Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott |
| 2024 | Comateformer: Combined Attention Transformer for Semantic Sentence Matching. | Bo Li, Di Liang, Zixin Zhang |
| 2024 | Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. | Mengke Li, Da Li, Guoqing Yang, Yiu-ming Cheung, Hui Huang |
| 2024 | Exploring Large Language Models Text Style Transfer Capabilities. | Weijie Li, Zhentao Gu, Xiaochao Fan, Wenjun Deng, Yong Yang, Xinyuan Zhao, Yufeng Diao, Liang Yang |
| 2024 | Large Language Models Understand Layout. | Weiming Li, Manni Duan, Dong An, Yan Shao |
| 2024 | Cascade Memory for Unsupervised Anomaly Detection. | Jiahao Li, Yiqiang Chen, Yunbing Xing, Yang Gu, Xiangyuan Lan |
| 2024 | MFF-YOLO: Multi-scale Feature Fusion Network for Small Ship Detection in Night Scenes. | Guangyu Li, Jun Li, Hai Cao, Houjun Wang, Weili Guo, Chen Gong |
| 2024 | Monte Carlo Tree Search with State Merging for Reinforcement Learning in Regular Decision Processes. | Gabriel Paludo Licks, Fabio Patrizi, Giuseppe De Giacomo |
| 2024 | Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. | Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song |
| 2024 | Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation. | Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, Weiqi Luo |
| 2024 | Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. | Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu |
| 2024 | A Hybrid Approach towards Chinese Spelling and Splitting Error Correction. | Junhong Liang, Junnan Zhu, Feifei Zhai, Nanchang Cheng, Chengqing Zong, Yu Zhou |