| 2024 | Path-Aware Cross-Attention Network for Question Answering. | Ziye Luo, Ying Xiong, Buzhou Tang |
| 2024 | ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based on Common-Specific Feature Learning. | Xiaocui Li, Yu Xiao, Xinyu Zhang, Qingyu Shi, Xiance Tang |
| 2024 | Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning. | Xi Li, Chen Wu, Jiaqi Wang |
| 2024 | Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. | Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng |
| 2024 | ACHIM: Adaptive Clinical Latent Hierarchy Construction and Information Fusion Model for Healthcare Knowledge Representation. | Gaohong Liu, Jian Ye, Borong Wang |
| 2024 | MDAN: Multi-distribution Adaptive Networks for LTV Prediction. | Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin |
| 2024 | Enhancing Continuous Domain Adaptation with Multi-path Transfer Curriculum. | Hanbing Liu, Jingge Wang, Xuan Zhang, Ye Guo, Yang Li |
| 2024 | Adversarial Learning of Group and Individual Fair Representations. | Hao Liu, Raymond Chi-Wing Wong |
| 2024 | Construct a Secure CNN Against Gradient Inversion Attack. | Yu-Hsin Liu, Yu-Chun Shen, Hsi-Wen Chen, Ming-Syan Chen |
| 2024 | Multi-sourced Integrated Ranking with Exposure Fairness. | Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu |
| 2024 | Treatment Effect Estimation Under Unknown Interference. | Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Hisashi Kashima |
| 2024 | Streaming Fair k-Center Clustering over Massive Dataset with Performance Guarantee. | Zeyu Lin, Longkun Guo, Chaoqi Jia |
| 2024 | GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question Answering. | Yi-Ting Li, Ying-Jia Lin, Chia-Jen Yeh, Chun-Yi Lin, Hung-Yu Kao |
| 2024 | TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media. | Pei-Cheng Li, Cheng-Te Li |
| 2024 | A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection. | Jia Li, Zihan Hu, Zhenguo Yang, Lap-Kei Lee, Fu Lee Wang |
| 2024 | RPH-PGD: Randomly Projected Hessian for Perturbed Gradient Descent. | Chi-Chang Li, Jay Huang, Wing-Kai Hon, Che-Rung Lee |
| 2024 | A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification. | Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen |
| 2024 | SEE: Spherical Embedding Expansion for Improving Deep Metric Learning. | Binh Minh Le, Simon S. Woo |
| 2024 | Localization Through Deep Learning in New and Low Sampling Rate Environments. | Thanh Dat Le, Yan Huang |
| 2024 | Saliency-Aware Time Series Anomaly Detection for Space Applications. | Sangyup Lee, Simon S. Woo |
| 2024 | NETEFFECT: Discovery and Exploitation of Generalized Network Effects. | Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos |
| 2024 | Spatial-Temporal Bipartite Graph Attention Network for Traffic Forecasting. | Dimuthu Lakmal, Kushani Perera, Renata Borovica-Gajic, Shanika Karunasekera |
| 2024 | Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations. | Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova |
| 2024 | Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation. | Menglin Kong, Li Fan, Shengze Xu, Xingquan Li, Muzhou Hou, Cong Cao |
| 2024 | On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. | Simon Klttermann, Chiara Balestra, Emmanuel Mller |