| 2023 | Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal. | Shenghao Liu, Guoyang Wu, Xianjun Deng, Hongwei Lu, Bang Wang, Laurence T. Yang, James J. Park |
| 2023 | Automatic Personalized Health Insurance Recommendation Based on Utility and User Feedback. | Hao Liu, Raymond Chi-Wing Wong |
| 2023 | Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. | Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming |
| 2023 | CaT: Balanced Continual Graph Learning with Graph Condensation. | Yilun Liu, Ruihong Qiu, Zi Huang |
| 2023 | Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. | Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai |
| 2023 | Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach. | Xiaohua Liu, Yi Li, Xiaomin Xiong, Yihan Wu, Mengke Xu, Lin Chen, Bo Lin, Bo Xu, Guoxiang Liu |
| 2023 | Insight Analysis for Tennis Strategy and Tactics. | Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong |
| 2023 | Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches. | Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng |
| 2023 | Intelligent Practical Teaching Platform based on Data Mining. | Qi Liu, Xiao Chen, Kun Niu, Wanru Zhang, Yiman Gao, Jin Wei |
| 2023 | A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder. | Zheng Liu, Xiaohan Li, Philip S. Yu |
| 2023 | IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. | Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu |
| 2023 | DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. | Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu |
| 2023 | Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space Retrieval. | Liang Li, Weiwei Sun |
| 2023 | Interpretable Subgraph Feature Extraction for Hyperlink Prediction. | Peiyan Li, Liming Pan, Kai Li, Claudia Plant, Christian Bhm |
| 2023 | Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization. | Xiangyu Li, Armand Ovanessians, Hua Wang |
| 2023 | Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs. | Xiangyu Li, Armand Ovanessians, Hua Wang |
| 2023 | Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. | Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2023 | Privacy-Preserving Cross-Domain Sequential Recommendation. | Zhaohao Lin, Weike Pan, Zhong Ming |
| 2023 | Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. | Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang |
| 2023 | Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming. | Mingqian Lin, Lin Shang, Xiaoying Gao |
| 2023 | Blockchain-based Reputation Management Scheme for the Internet of Vehicles. | Shijie Li, Xiaowu Liu, Wenshuo Ma, Kan Yu, Yangyang Liu |
| 2023 | Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile Data. | Hao Li, Hao Jiang, Haoran Xian, Qimei Chen |
| 2023 | Automatic Detection and Analysis towards Malicious Behavior in IoT Malware. | Sen Li, Mengmeng Ge, Ruitao Feng, Xiaohong Li, Kwok-Yan Lam |
| 2023 | Efficient and Effective Entity Alignment for Evolving Temporal Knowledge Graphs. | Yunfei Li, Lu Chen, Chengfei Liu, Rui Zhou, Jianxin Li |
| 2023 | Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. | Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu |