| 2022 | ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. | Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming |
| 2022 | A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model. | Dora D. Liu, Zhongyuan Lai, Usman Naseem |
| 2022 | Safe Multi-view Co-training for Semi-supervised Regression. | Li-Yan Liu, Peng Huang, Fan Min |
| 2022 | Inventory Purchase Recommendation for Merchants in Traditional FMCG Retail Business. | Ying Li, Muhammad Daffa Robani, Victor Suciu, Joy He-Yueya |
| 2022 | Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. | Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang |
| 2022 | Dual Channel Hybrid Messaging-Passing Graph Convolutional Network for Recommendation. | Wei Lan, Wenguang Wang |
| 2022 | Separating Storage and Compute with the Databricks Lakehouse Platform. | Deeptaanshu Kumar, Suxi Li |
| 2022 | Discovering Periodicity in Locally Repeating Patterns. | Alfred Krzywicki, Ashesh Mahidadia, Michael Bain |
| 2022 | Enhancing Individual Fairness through Propensity Score Matching. | Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu |
| 2022 | Fast JSON parser using metaprogramming on GPU. | Krzysztof Kaczmarski, Jakub Narebski, Stanislaw Piotrowski, Piotr Przymus |
| 2022 | CE-GAN : A Camera Image Enhancement Generative Adversarial Network for Autonomous Driving. | Sining Jiang, Zhongwen Guo, Shuo Zhao, Hao Wang, Wei Jing |
| 2022 | Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations. | Jakub Jakubowski, Przemyslaw Stanisz, Szymon Bobek, Grzegorz J. Nalepa |
| 2022 | Tracing Patterns in Electrophysiological Time Series Data. | Jan David Hwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Dfer, Christian Beecks |
| 2022 | Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos. | He Huang, Nan Sun, Xufeng Lin |
| 2022 | Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. | Kohei Hayashi, Kei Nakagawa |
| 2022 | Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions. | Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Steven Wood |
| 2022 | A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2022 | Range-free and Level-based Localization with Malicious Node Identification in Underwater Sensor Networks. | Ying Guo, Ping Ji, Jingxiang Xu, Peng Liu |
| 2022 | Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining. | Alessia Galdeman, Matteo Zignani, Sabrina Gaito |
| 2022 | Understanding Stay-at-home Attitudes through Framing Analysis of Tweets. | Zahra Fatemi, Abari Bhattacharya, Andrew Wentzel, Vipul Dhariwal, Lauren Levine, Andrew Rojecki, G. Elisabeta Marai, Barbara Di Eugenio, Elena Zheleva |
| 2022 | Generating Privacy Preserving Synthetic Medical Data. | Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang |
| 2022 | Active Lifelong Anomaly Detection with Experience Replay. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz |
| 2022 | GDEGAN: Graphical Discriminative Embedding GAN for tabular data. | Dinh Anh Dung, Huynh Thi Thanh Binh |
| 2022 | Cross-Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis. | Sauman Das, Arnav Jain, Audhav Durai, Sameer Gabbita, Aditya Vasantharao, Vishal Kotha |
| 2022 | DGNN: Denoising graph neural network for session-based recommendation. | Jiuqian Dai, Weihua Yuan, Chen Bao, Zhijun Zhang |