| 2022 | Structure-Preserving Graph Representation Learning. | Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu |
| 2022 | Simplifying Process Navigations - Divide and Rule way. | Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu |
| 2022 | AWS-EP: A Multi-Task Prediction Approach for MBTI/Big5 Personality Tests. | Fahed Elourajini, Esma Ameur |
| 2022 | An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. | Mohammadreza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen |
| 2022 | DBHD: Density-based clustering for highly varying density. | Walid Durani, Dominik Mautz, Claudia Plant, Christian Bhm |
| 2022 | Conditional Independence Testing via Latent Representation Learning. | Bao Duong, Thin Nguyen |
| 2022 | Hypernode: Entity Fusion for Data Traceability and Link Prediction. | Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu |
| 2022 | Class-Specific Explainability for Deep Time Series Classifiers. | Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen |
| 2022 | Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. | Qijie Ding, Daokun Zhang, Jie Yin |
| 2022 | Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data. | Michiel Dhont, Elena Tsiporkova, Nicols Gonzlez-Deleito |
| 2022 | Domain Adaptation Through Cluster Integration and Correlation. | Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari |
| 2022 | Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets. | Anton Dereventsov, Anton Bibin |
| 2022 | Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. | Songgaojun Deng, Huzefa Rangwala, Yue Ning |
| 2022 | Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. | Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong |
| 2022 | Scalable Joins over Big Data Streams: Actual and Future Research Trends. | Alfredo Cuzzocrea |
| 2022 | MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. | Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma |
| 2022 | Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning. | Guojing Cong, Seung-Hwan Lim, Steven Young |
| 2022 | Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. | Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner |
| 2022 | Concise and interpretable multi-label rule sets. | Martino Ciaperoni, Han Xiao, Aristides Gionis |
| 2022 | Boosting Object Detection Ensembles with Error Diversity. | Ka-Ho Chow, Ling Liu |
| 2022 | Making Sense of Sentiments for Aesthetic Plastic Surgery. | Anand Choudhary, Erik Cambria |
| 2022 | Cut the peaches: image segmentation for utility pattern mining in food processing. | Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli |
| 2022 | Federated Fingerprint Learning with Heterogeneous Architectures. | Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou |
| 2022 | ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. | Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen |
| 2022 | Contractible Regularization for Federated Learning on Non-IID Data. | Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng |