| 2023 | Efficient Augmentation for Imbalanced Deep Learning. | Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla |
| 2023 | ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. | Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou |
| 2023 | MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). | Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang |
| 2023 | The Future of Eating Together: Exploring the Promises and Challenges of Digital Commensality in the Metaverse. | Alexandra Covaci, Gheorghita Ghinea, Frdric Andrs |
| 2023 | Towards a Signature Based Compression Technique for Big Data Storage. | Constantinos Costa, Panos K. Chrysanthis, Marios Costa, Efstathios Stavrakis, Nicolas Nicolaou |
| 2023 | Dynamic Spatio-temporal Access Queries using Semi-Supervised Regression. | Chris Conlan, Teddy Cunningham, Hakan Ferhatosmanoglu |
| 2023 | Continual Causal Inference with Incremental Observational Data. | Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li |
| 2023 | Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. | Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li |
| 2023 | Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning (Extended Abstract). | Luks Chrpa, Roman Bartk, Jindrich Vodrzka, Marta Vomlelov |
| 2023 | Index-Based Biclique Percolation Communities Search on Bipartite Graphs. | Zi Chen, Yiwei Zhao, Long Yuan, Xuemin Lin, Kai Wang |
| 2023 | Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices. | Min Chen, Yang Xu, Hongli Xu, Liusheng Huang |
| 2023 | Unsupervised Intra-Domain Adaptation for Recommendation via Uncertainty Minimization. | Chenghao Chen, Jie Xiao, Jin Liu, Jie Zhang, Jia Jia, Ning Hu |
| 2023 | OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. | Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff |
| 2023 | Finding Best Tuple via Error-prone User Interaction. | Qixu Chen, Raymond Chi-Wing Wong |
| 2023 | Two-Sided Instant Incentive Optimization under a Shared Budget in Ride-Hailing Services. | Junlin Chen, Xin Liu, Weidong Liu, Hai Jiang |
| 2023 | EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM. | Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, Wen Xia |
| 2023 | TSExplain: Explaining Aggregated Time Series by Surfacing Evolving Contributors. | Yiru Chen, Silu Huang |
| 2023 | Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. | Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma |
| 2023 | Workload-Aware Log-Structured Merge Key-Value Store for NVM-SSD Hybrid Storage. | Lixiang Chen, Ruihao Chen, Chengcheng Yang, Yuxing Han, Rong Zhang, Xuan Zhou, Peiquan Jin, Weining Qian |
| 2023 | Towards Efficient MIT query in Trajectory Data. | Jian Chen, Hong Gao, Kaiqi Zhang, Jiachi Wang, Yubo Luo, Zhenqing Wu, Jianzhong Li |
| 2023 | Learning from Noisy Crowd Labels with Logics. | Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen |
| 2023 | Marshalling Model Inference in Video Streams. | Daren Chao, Nick Koudas, Xiaohui Yu |
| 2023 | SVQ-ACT: Querying for Actions over Videos. | Daren Chao, Kaiwen Chen, Nick Koudas |
| 2023 | Track Merging for Effective Video Query Processing. | Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu |
| 2023 | Contrastive Trajectory Similarity Learning with Dual-Feature Attention. | Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin |