| 2023 | CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis. | Jinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, Yanchun Zhang |
| 2023 | MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores. | Zhenghong Luo, Qian Wang, Haomai Wang, Tianshan Qu, Meng Li, Rong Gu, Haipeng Dai |
| 2023 | Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction. | Yang Luo, Zehao Gu, Shiyang Zhou, Yun Xiong, Xiaofeng Gao |
| 2023 | Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. | Fiete Ler, Tobias Weber, Maxim Dolgich, Christian Bhm |
| 2023 | Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment. | Yiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, Yu Huang |
| 2023 | Mixup-Inspired Video Class-Incremental Learning. | Jinqiang Long, Yizhao Gao, Zhiwu Lu |
| 2023 | FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. | Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi |
| 2023 | Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. | Yawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, Mingliang Xu |
| 2023 | Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes. | Mingyi Li, Xiao Zhang, Haochao Ying, Yang Li, Xu Han, Dongxiao Yu |
| 2023 | Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation. | Dongxu Li, Bowei Zhao, Xiaorui Su, Guodong Li, Yue Yang, Pengwei Hu, Lun Hu |
| 2023 | An Exploration of Large Language Models for Verification of News Headlines. | Yifan Li, ChengXiang Zhai |
| 2023 | An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis Model. | Jinli Li, ChengXuan Zhou, Ye Yuan |
| 2023 | Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. | Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao |
| 2023 | GAFNO: Gated Adaptive Fourier Neural Operator for Task-Agnostic Time Series Modeling. | Xin-Yi Li, Yu-Bin Yang |
| 2023 | Anti-Noise Muiti-View Feature Selection With Sample Constraints. | Jiaye Li, Hang Xu, Hao Yu, Weixin Li, Shichao Zhang |
| 2023 | GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. | Yanjin Li, Linchuan Xu, Kenji Yamanishi |
| 2023 | Auto Graph Filtering for Bundle Recommendation. | Xiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang |
| 2023 | Hypergraph Attribute Attention Network for Community Recommendation. | Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang |
| 2023 | Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutations. | Yi Li, Xiaomin Xiong, Xiaohua Liu, Lin Chen, Bo Lin, Bo Xu |
| 2023 | Contextual Target-Specific Stance Detection on Twitter: Dataset and Method. | Yupeng Li, Dacheng Wen, Haorui He, Jianxiong Guo, Xuan Ning, Francis C. M. Lau |
| 2023 | PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network. | Haoran Li, Yang Weng |
| 2023 | Decision-focused Graph Neural Networks for Graph Learning and Optimization. | Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen |
| 2023 | Learning and Adapting Diverse Representations for Cross-domain Few-shot Learning. | Ge Liu, Zhongqiang Zhang, Fuhan Cai, Duo Liu, Xiangzhong Fang |
| 2023 | Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. | Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu |
| 2023 | Tokenomic Model of Friend.Tech Social Platform: A Data-driven Analysis. | Kai Liu, Minghao Yu, Yang Jin, Yue Wang, Jiaqi Yan, Xiao Fan Liu |