| 2025 | Text Enhancement-Based Multimodal Fusion for Video Sentiment Analysis. | Junhao Luo, Yan Zhu, Yiqiang Peng |
| 2025 | TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. | Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis |
| 2025 | ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks. | Yiran Luo, Evangelos E. Papalexakis |
| 2025 | ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. | Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2025 | A Hypergraph Neural Network with Motif Interaction Enhancement. | Jun Long, Shijia Ji, Zidong Wang, Tingxuan Chen, Liu Yang |
| 2025 | Improving Clinical Note Generation from Complex Doctor-Patient Conversation. | Yizhan Li, Sifan Wu, Christopher Smith, Thomas Lo, Bang Liu |
| 2025 | EquityNet: Unveiling Corporate Equity Relationships in Business Conglomerates Using Graph Neural Networks and GDV Features. | B. Li, Bingce Wang, Lifeng Li, Weiping Li, Tong Mo |
| 2025 | Parameter Estimation in Cognitive Diagnosis: A Light-Weight Neural Network Solution. | Qiang Li, Binbin Wang |
| 2025 | A Nested Zeroth-Order Fine-Tuning Approach for Cloud-Edge LLM Agents. | Ya Liu, Kai Yang, Yu Zhu, Keying Yang, Chengtao Jian, Wuguang Ni, Xiaozhou Ye, Ye Ouyang |
| 2025 | Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection. | Buhua Liu, Shuo Yang, Zhiqiang Xu, Haoyi Xiong, Yiu-ming Cheung, Zeke Xie |
| 2025 | Causal Discovery with Inverted Self-attention for Multivariate Time Series. | Yusen Liu, Yong Wang, Yifan Yin, Tianqing Zhu, Xiufeng Liu, Huan Huo |
| 2025 | MCA: Multimodal Contrastive Augmentation for Medical Report Generation. | Junyi Liu, Tao Wan, Zengchang Qin |
| 2025 | CoMAC: Conversational Agent for Multi-source Auxiliary Context with Sparse and Symmetric Latent Interactions. | Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai |
| 2025 | EMAWNB: Enhanced Multi-view Attribute Weighted Naive Bayes. | Guanzhi Liu, Kexin Meng, Pei Lv, Huan Zhang |
| 2025 | GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback. | Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu |
| 2025 | T | Quanjin Liu, Guisheng Liu, Yi Li, Xin Zheng, Yanqing Guo |
| 2025 | QSMT: Query-Shared Multimodal Transformer for Multimodal Sentiment Analysis. | Huazhong Liu, Yuanhan Liu, Jihong Ding, Wenxuan Zhang |
| 2025 | Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection. | Zhi Liu, Jyotheesh Gaddam, Shuo Huang, Ishara Bandara, Ming Liu, Sutharshan Rajasegarar, Muneeb Ul Hassan, Luxing Yang, Gang Li, Maia Angelova |
| 2025 | TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. | Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu |
| 2025 | Streaming Isolation Forest. | Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet |
| 2025 | JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models. | Shuyi Liu, Simiao Cui, Haoran Bu, Yuming Shang, Xi Zhang |
| 2025 | SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. | Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen |
| 2025 | MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification. | Xianpeng Li, Ziyang Su, Yuliang Shi, Lin Cheng, Xinjun Wang, Zhiyong Chen, Hui Li |
| 2025 | Isolating Latent Context Information Enhances Graph Structure Learning for Spatial Interpolation. | Chaofan Li, Till Riedel, Michael Beigl |
| 2025 | LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table. | Yizhen Li, Tao Qin, Jinzi Zou, Chenxu Wang, Yuan-cheng Lu |