| 2024 | MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction Diffusion. | Dagyeong Na, Junseok Kwon |
| 2024 | Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction. | Caihong Mu, Yunfei Fang, Jialiang Zhou, Yi Liu |
| 2024 | Formal Classifier of a Rhythmic Structure Model for Inference about Linguistic Text Properties. | Jolanta Mizera-Pietraszko, Jolanta Tancula |
| 2024 | Heisenberg Algebra Implementation to AAG Algorithm for Secure Data Transfer in IoT Networks. | Jolanta Mizera-Pietraszko, Jolanta Tancula |
| 2024 | Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection. | Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam, Kamrul Hasan |
| 2024 | Efficient and High-Quality Formal Verification for Decision Tree Ensembles. | Saori Matsunaga, Genta Yoshimura |
| 2024 | Towards Expressive Graph Representations for Graph Neural Networks. | Chengsheng Mao, Liang Yao, Yuan Luo |
| 2024 | Cross-Store Next-Basket Recommendation. | Liang-Chen Ma, Ya Li, Zi-Feng Mai, Fei-Yao Liang, Chang-Dong Wang, Min Chen, Mohsen Guizani |
| 2024 | Anomaly Detection in Financial Data Using GA-Optimized MLP Models. | Ivan P. Malashin, Igor S. Masich, Aleksei S. Borodulin, Vladimir Viktorovich Bukhtoyarov, Vladimir A. Nelyub, Vadim Tynchenko |
| 2024 | Sirius: A Density-based Colocation Mining Framework for Sets of Continuous Spatial Variables. | Md. Mahin, Aparna Budhavarapu, Karima Elgarroussi, Ernst L. Leiss, Christoph F. Eick |
| 2024 | Investigating the Role of Metaphors in Human-AI Conversation and Engagement. | Pragati Maheshwary, Qiawen Liu, Rui Mao |
| 2024 | Landslide-as-a-Service: Standards-driven Landslide Mapping Framework using Machine Learning and GeoDataCube. | Chetan Mahajan, Rajat C. Shinde, Grald Fenoy, Surya S. Durbha |
| 2024 | A Learned Approach to Index Algorithm Selection. | Chaohong Ma, Xiaohui Yu, Yifan Li, Aishan Maoliniyazi, Xiaofeng Meng |
| 2024 | Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes. | Lujia Lv, Di Wu, Yangyi Xia, Jia Wu, Xiaojing Liu, Yi He |
| 2024 | High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video Editing. | Yan Luo, Zhichao Zuo, Zhao Zhang, Zhongqiu Zhao, Haijun Zhang, Richang Hong |
| 2024 | DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. | Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu |
| 2024 | FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning. | Qing Lu, Miao Hu, Di Wu, Yipeng Zhou, Mohsen Guizani, Quan Z. Sheng |
| 2024 | Adaptive Graph Neural Networks for Cold-Start Multimedia Recommendation. | Zhen Li, Jibin Wang, Zhuo Chen, Kun Wu, Yuanzhen Wei, Hai Huang |
| 2024 | Scalable Graph Classification via Random Walk Fingerprints. | Peiyan Li, Honglian Wang, Christian Bhm |
| 2024 | The Chain of Narrative Framework: Advancing Controllable Generation of Financial Themes. | Shuoling Liu, Gaoguo Jia, Dongsheng Gu, Liyuan Chen, Qiang Yang |
| 2024 | Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. | Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo |
| 2024 | AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models. | Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi |
| 2024 | CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. | Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu |
| 2024 | BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. | Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim |
| 2024 | Controllable Visit Trajectory Generation with Spatiotemporal Constraints. | Haowen Lin, John Krumm, Cyrus Shahabi, Li Xiong |