| 2022 | Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. | Alexander Gra, Till Dhmen, Christian Beecks |
| 2022 | Joint Evidential $K$-Nearest Neighbor Classification. | Chaoyu Gong, Yongbin Li, Yong Liu, Pei-hong Wang, Yang You |
| 2022 | Self-reconstructive evidential clustering for high-dimensional data. | Chaoyu Gong, Yongbin Liu, Di Fu, Yong Liu, Pei-hong Wang, Yang You |
| 2022 | FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. | Yonghai Gong, Yichuan Li, Nikolaos M. Freris |
| 2022 | Ratatouille: A tool for Novel Recipe Generation. | Mansi Goel, Pallab Chakraborty, Vijay Ponnaganti, Minnet Khan, Sritanaya Tatipamala, Aakanksha Saini, Ganesh Bagler |
| 2022 | Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. | Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab |
| 2022 | Colorful h-star Core Decomposition. | Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang |
| 2022 | Dynamic Approximate Maximum Independent Set on Massive Graphs. | Xiangyu Gao, Jianzhong Li, Dongjing Miao |
| 2022 | Scalable Motif Counting for Large-scale Temporal Graphs. | Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong |
| 2022 | XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers. | Xinbiao Gan, Yiming Zhang, Ruigeng Zeng, Jie Liu, Ruibo Wang, Tiejun Li, Li Chen, Kai Lu |
| 2022 | Clustering Activation Networks. | Zijin Feng, Miao Qiao, Hong Cheng |
| 2022 | Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach. | Qingshuai Feng, You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin |
| 2022 | Assessing the Existence of a Function in a Dataset with the g3 Indicator. | Pierre Faure-Giovagnoli, Jean-Marc Petit, Vasile-Marian Scuturici |
| 2022 | PeriodicSketch: Finding Periodic Items in Data Streams. | Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui |
| 2022 | Field-aware Variational Autoencoders for Billion-scale User Representation Learning. | Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong |
| 2022 | SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain. | Min Fang, Xinna Zhou, Zhao Zhang, Cheqing Jin, Aoying Zhou |
| 2022 | Linking Entities across Relations and Graphs. | Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu |
| 2022 | Improving Fairness for Data Valuation in Horizontal Federated Learning. | Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang |
| 2022 | Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. | Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu |
| 2022 | Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. | Jiawei Duan, Qingqing Ye, Haibo Hu |
| 2022 | SPADE: GPU-Powered Spatial Database Engine for Commodity Hardware. | Harish Doraiswamy, Juliana Freire |
| 2022 | HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. | Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li |
| 2022 | RW-Tree: A Learned Workload-aware Framework for R-tree Construction. | Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan |
| 2022 | Multi-Dimensional Randomized Response. | Josep Domingo-Ferrer, Jordi Soria-Comas |
| 2022 | GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. | Till Dhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter |