| 2023 | INTERPRET: An INtegrated and adapTive framEwoRk to support Policy-makers in the urban EnvironmenT. | Emilia Lenzi |
| 2023 | Data Additive Residual Learning based Yield Prediction for Semiconductor Manufacturing. | Youjin Lee |
| 2023 | Towards an AutoML System for Fair Classifications | Nico Lssig |
| 2023 | Inconsistency Detection with Temporal Graph Functional Dependencies. | Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu |
| 2023 | Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol. | Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo |
| 2023 | BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning. | Ai-Te Kuo, Haiquan Chen, Wei-Shinn Ku |
| 2023 | These Rows Are Made for Sorting and That's Just What We'll Do. | Laurens Kuiper, Hannes Mhleisen |
| 2023 | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. | Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. | Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | Firestore: The NoSQL Serverless Database for the Application Developer. | Ram Kesavan, David Gay, Daniel Thevessen, Jimit Shah, C. Mohan |
| 2023 | SASPAR: Shared Adaptive Stream Partitioning. | Jeyhun Karimov, Hans-Arno Jacobsen |
| 2023 | Automatic Fusion Network for Cold-start CVR Prediction with Explicit Multi-Level Representation. | Jipeng Jin, Guangben Lu, Sijia Li, Xiaofeng Gao, Ao Tan, Lifeng Wang |
| 2023 | Personalized Semantic Matching for Web Search. | Kunlei Jing, Fei Hao, Xizi Zhang, Yu Zhou |
| 2023 | Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning. | Daomin Ji, Hui Luo, Zhifeng Bao |
| 2023 | LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. | Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He |
| 2023 | Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. | Jiawei Jiang, Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang |
| 2023 | Non-Blocking Raft for High Throughput IoT Data. | Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun |
| 2023 | Privacy-preserving Data Federation for Trainable, Queryable and Actionable Data. | Stavroula Iatropoulou, Theodora Anastasiou, Sophia Karagiorgou, Petros Petrou, Dimitrios Alexandrou, Thanassis D. Bouras |
| 2023 | Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search. | Qiang Huang, Anthony K. H. Tung |
| 2023 | Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning. | Huiqun Huang, Suining He, Mahan Tabatabaie |
| 2023 | Demystifying Bitcoin Address Behavior via Graph Neural Networks. | Zhengjie Huang, Yunyang Huang, Peng Qian, Jianhai Chen, Qinming He |
| 2023 | Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method. | Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin |
| 2023 | GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU. | Lin Hu, Lei Zou, M. Tamer zsu |
| 2023 | Imputation of Missing Values in Training Data using Variational Autoencoder. | Xuerui Hong, Shuang Hao |
| 2023 | Mining Seasonal Temporal Patterns in Time Series. | Van Long Ho, Nguyen Ho, Torben Bach Pedersen |