| 2025 | Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. | Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang |
| 2025 | Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport. | Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier |
| 2025 | Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification. | Agathe Fernandes Machado |
| 2025 | PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment. | Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv |
| 2025 | How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract). | Qianou Ma, Hua Shen, Ken Koedinger, Tongshuang Wu |
| 2025 | MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery. | Lin Ma, Liang Hu, Qiang Huang, Pingting Hao, Juncheng Hu |
| 2025 | SkyRover: A Modular Simulator for Cross-Domain Pathfinding. | Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang |
| 2025 | Fine-Grained and Efficient Self-Unlearning with Layered Iteration. | Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi |
| 2025 | Expanding the Category of Classifiers with LLM Supervision. | Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen |
| 2025 | Find and Perceive: Tell Visual Change with Fine-Grained Comparison. | Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu |
| 2025 | RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis. | Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan |
| 2025 | BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. | Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo |
| 2025 | GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework. | Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan |
| 2025 | Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering. | Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang |
| 2025 | Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. | Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang |
| 2025 | VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. | Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina |
| 2025 | Approximate Lifted Model Construction. | Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Mller, Mattis Hartwig |
| 2025 | Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification. | Zhijie Lu, Wuxuan Shi, He Li, Mang Ye |
| 2025 | Self-calibration Enhanced Whole Slide Pathology Image Analysis. | Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng |
| 2025 | GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning. | Yingbo Luo, Meibao Yao, Xueming Xiao |
| 2025 | MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving. | Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang |
| 2025 | LPDetective: Dusting the LLM Chats for Prompt Template Abusers. | Yang Luo, Qingni Shen, Zhonghai Wu |
| 2025 | MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation. | Yang Luo, Qingni Shen, Zhonghai Wu |
| 2025 | Guiding LLM-based Smart Contract Generation with Finite State Machine. | Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang |
| 2025 | PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening. | Chunhui Luo, Dong Li, Xiaoliang Ma, Xin Lu, Zhiyuan Wang, Jiangtong Tan, Xueyang Fu |