| 2024 | Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion. | Yinghui Zhang, Tailin Chen, Yuchen Zhang, Zeyu Fu |
| 2024 | CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence. | Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan |
| 2024 | Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning. | Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz, Reza Ebrahimi, Elisa Bertino |
| 2024 | Detecting Multi-Modal Fake AIGC from the Perspective of Emotional Manipulation Purpose. | Linzi Zhang |
| 2024 | Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations. | Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2024 | Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction. | Taehyung Yu, Soo Yong Lee, Hyunjin Hwang, Kijung Shin |
| 2024 | Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour Algorithms. | Zhichao Yu, Simon James Fong, Liming Zhang, Tengyue Li, Xin Zhang |
| 2024 | Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach. | Leisheng Yu, Yanxiao Cai, Lucas Chen, Minxing Zhang, Wei-Yen Day, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu |
| 2024 | Discrimination Of Brown Spot Leaf Disease From RGB Data Of Image. | Nao Yuasa, Daisuke Minamisawa, Ayana Takai, Masaya Oirase, Eisuke Kita |
| 2024 | Generalized Sparse Additive Model with Unknown Link Function. | Peipei Yuan, Xinge You, Hong Chen, Xuelin Zhang, Qinmu Peng |
| 2024 | A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. | Jun Yuan, Guohao Cai, Zhenghua Dong |
| 2024 | HyperTime: A Dynamic Hypergraph Approach for Time Series Classification. | Raneen Younis, Zahra Ahmadi |
| 2024 | Accessible Health Screening Using Body Fat Estimation by Image Segmentation. | Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang |
| 2024 | Matrix Profile for Anomaly Detection on Multidimensional Time Series. | Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2024 | A Deep Learning Based Cloud Imputation Framework. | Harshitaa Yarramsetti, Kritika Javali, Mukund Logasundar, Richard Li, Ranga Raju Vatsavai |
| 2024 | Learning Invariant Features on Graphs by Disentangling Spurious Features. | Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang |
| 2024 | Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation. | Qimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo |
| 2024 | PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label Learning. | Yin-Fang Yang, Wei Tang, Min-Ling Zhang |
| 2024 | Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. | Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, Gyrgy J. Simon |
| 2024 | Probabilistic Matrix Factorization-based Three-stage Label Completion for Crowdsourcing. | Boyi Yang, Liangxiao Jiang, Wenjun Zhang |
| 2024 | Resource Efficient Delaunay Triangulation for Higher Dimensional Topological Studies. | Anuarag Yadav, Rohit P. Singh, Philip A. Wilsey |
| 2024 | Enhancing IoT Intrusion Detection through Vertical Federated Learning and Latent Space Mapping. | Krishna Yadav, Harshit Chaubey, Rajesh Sah |
| 2024 | Covid-19 and Multichannel Customers. | Katsutoshi Yada, Tomoya Ikeda, Genki Yoshida, Takahiro Hakozaki, Ken Matsumoto, Shusaku Tsumoto |
| 2024 | MetaSTC: A Backbone Agnostic Spatio-Temporal Framework for Traffic Forecasting. | Kexin Xu, Zhemeng Yu, Yucen Gao, Songjian Zhang, Jun Fang, Xiaofeng Gao, Guihai Chen |
| 2024 | Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis. | Kaicheng Xue, Xulang Zhang, Rui Mao, Erik Cambria |