| 2024 | Massively Parallel Single-Source SimRanks in O(log N) Rounds. | Siqiang Luo, Zulun Zhu |
| 2024 | Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. | Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang |
| 2024 | Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method. | Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang |
| 2024 | FairGT: A Fairness-aware Graph Transformer. | Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia |
| 2024 | Simple Contrastive Multi-View Clustering with Data-Level Fusion. | Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu |
| 2024 | Graph Neural Networks for Brain Graph Learning: A Survey. | Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu |
| 2024 | RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment. | Zhaoyuan Lu, Taijun Li, Jingzhen Zhang, Moyang Liu, Xiang Li, Linyi Cui, Junqi Chen, Zhibin Niu |
| 2024 | Implicit Prompt Learning for Image Denoising. | Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang |
| 2024 | Revisiting Neural Networks for Continual Learning: An Architectural Perspective. | Aojun Lu, Tao Feng, Hangjie Yuan, Xiaotian Song, Yanan Sun |
| 2024 | LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game. | Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin |
| 2024 | Mahjong AI Competition: Exploring AI Application in Complex Real-World Games. | Yunlong Lu, Wenxin Li |
| 2024 | Heterogeneous Graph Transformer with Poly-Tokenization. | Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi |
| 2024 | Self-supervised Weighted Information Bottleneck for Multi-view Clustering. | Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu |
| 2024 | The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence. | Guodong Long |
| 2024 | Probabilistic Contrastive Learning for Domain Adaptation. | Junjie Li, Yixin Zhang, Zilei Wang, Saihui Hou, Keyu Tu, Man Zhang |
| 2024 | Combinatorial Games with Incomplete Information. | Junkang Li, Bruno Zanuttini, Vronique Ventos |
| 2024 | MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. | Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He |
| 2024 | A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning. | Jingcong Li, Chunjin Ye, Fei Wang, Jiahui Pan |
| 2024 | Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. | Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou |
| 2024 | DarkFed: A Data-Free Backdoor Attack in Federated Learning. | Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang |
| 2024 | VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition. | Chenyu Liu, Xinliang Zhou, Jiaping Xiao, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu |
| 2024 | Cross-Domain Feature Augmentation for Domain Generalization. | Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu |
| 2024 | MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator. | Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou |
| 2024 | Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry. | Gexin Liu, Jiahao Zhu, Dandan Ding, Zhan Ma |
| 2024 | LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. | Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li |