| 2025 | Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation. | Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou |
| 2025 | Hypernetwork Aggregation for Decentralized Personalized Federated Learning. | Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen |
| 2025 | FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. | Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang |
| 2025 | RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework. | Limei Lin, Jinpeng Xu, Xiaoding Wang, Liang Chen, Sun-Yuan Hsieh, Jie Wu |
| 2025 | Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning. | Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang |
| 2025 | KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis. | Anchen Lin, Weikun Wang, Haijun Han, Fanwei Zhu, Qi Ma, Zengwei Zheng, Binbin Zhou |
| 2025 | Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition. | Ping Li, Jianan Ni, Bo Pang |
| 2025 | Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. | Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng |
| 2025 | PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion. | Xiaoli Lin, Xiongwei Liao, Jun Pang, Bo Li, Xiaolong Zhang |
| 2025 | MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning. | Shuyuan Lin, Mengtin Lo, Haosheng Chen, Yanjie Liang, Qiangqiang Wu |
| 2025 | Online Resource Sharing: Better Robust Guarantees via Randomized Strategies. | David X. Lin, Daniel Hall, Giannis Fikioris, Siddhartha Banerjee, va Tardos |
| 2025 | Hybrid Local Causal Discovery. | Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu |
| 2025 | Gradient-based Causal Feature Selection. | Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan |
| 2025 | GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer. | Yihong Lin, Zhaoxin Fan, Xianjia Wu, Lingyu Xiong, Xiandong Li, Wenxiong Kang, Liang Peng, Songju Lei, Huang Xu |
| 2025 | Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback. | Shishen Lin |
| 2025 | FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. | Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao |
| 2025 | Approximately EFX and fPO Allocations for Bivalued Chores. | Zehan Lin, Xiaowei Wu, Shengwei Zhou |
| 2025 | Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. | Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo |
| 2025 | A Primal-dual Perspective for Distributed TD-learning. | Han-Dong Lim, Donghwan Lee |
| 2025 | The Role of Video Generation in Enhancing Data-Limited Action Understanding. | Wei Li, Dezhao Luo, Dongbao Yang, Zhenhang Li, Weiping Wang, Yu Zhou |
| 2025 | Making Mahjong Agents Interpretable: A Parameterized Search Approach. | Lingfeng Li, Yunlong Lu, Yongyi Wang, Qifan Zheng, Wenxin Li |
| 2025 | Critical Node-aware Augmentation for Hypergraph Contrastive Learning. | Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu, Zhen Yang, Gengyu Lyu |
| 2025 | Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction. | Xinhe Li, Jiajun Liu, Peng Wang |
| 2025 | Learning Neural Vocoder from Range-Null Space Decomposition. | Andong Li, Tong Lei, Zhihang Sun, Rilin Chen, Erwei Yin, Xiaodong Li, Chengshi Zheng |
| 2025 | Decision-Aware Preference Modeling for Multi-Behavior Recommendation. | Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin |