| 2024 | CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance. | Dongyu Zhang, Ruofan Hu, Elke A. Rundensteiner |
| 2024 | Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. | Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang |
| 2024 | Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. | Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson |
| 2024 | Semi-Supervised Clustering via Structural Entropy with Different Constraints. | Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He |
| 2024 | STES: A Spatiotemporal Explanation Supervision Framework. | Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao |
| 2024 | Light POI-Guided Conversational Recommender System based on Adaptive Space. | Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su |
| 2024 | MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. | Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li |
| 2024 | Label Distribution Learning-Enhanced Dual-KNN for Text Classification. | Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang |
| 2024 | A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System. | Lisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song |
| 2024 | UPFL: Unsupervised Personalized Federated Learning towards New Clients. | Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao |
| 2024 | Dual-disentangled Deep Multiple Clustering. | Jiawei Yao, Juhua Hu |
| 2024 | Variational Invariant Representation Learning for Multimodal Recommendation. | Wei Yang, Haoran Zhang, Li Zhang |
| 2024 | Refining Pre-trained Language Models for Domain Adaptation with Entity-Aware Discriminative and Contrastive Learning. | Jian Yang, Xinyu Hu, Yulong Shen, Gang Xiao |
| 2024 | Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. | Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar |
| 2024 | Graph-based Student Knowledge Profile for Online Intelligent Education. | Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang |
| 2024 | Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. | Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun |
| 2024 | Tensorized Hypergraph Neural Networks. | Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao |
| 2024 | Neural Locality Sensitive Hashing for Entity Blocking. | Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang |
| 2024 | On Robust Wasserstein Barycenter: The Model and Algorithm. | Xu Wang, Jiawei Huang, Qingyuan Yang, Jinpeng Zhang |
| 2024 | Personalized Federated Learning with Contextual Modulation and Meta-Learning. | Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rgnvaldsson |
| 2024 | Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation. | Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum |
| 2024 | Robust Estimation of Causal Heteroscedastic Noise Models. | Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen |
| 2024 | Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. | Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang |
| 2024 | Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. | Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu |
| 2024 | Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. | Niklas Strau, Matthias Schubert |