| 2023 | CNSVRE: A Query Reformulated Search System with Explainable Summarization for Virtual Research Environment. | Na Li, Yangjun Zhang, Zhiming Zhao |
| 2023 | CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet. | Miaomiao Li, Jiaqi Zhu, Xin Yang, Yi Yang, Qiang Gao, Hongan Wang |
| 2023 | IMF: Interactive Multimodal Fusion Model for Link Prediction. | Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing |
| 2023 | TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. | Yingjie Li, Chenye Zhao, Cornelia Caragea |
| 2023 | Impact of COVID-19 Pandemic on Cultural Products Interests. | Ke Li, Zhiwen Yu, Ying Zhang, Bin Guo |
| 2023 | SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. | Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao |
| 2023 | ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning. | Yanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang |
| 2023 | Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. | Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu |
| 2023 | An Analogical Reasoning Method Based on Multi-task Learning with Relational Clustering. | Shuyi Li, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng |
| 2023 | Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. | Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang |
| 2023 | Curriculum Graph Poisoning. | Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu |
| 2023 | FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. | Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu |
| 2023 | Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. | Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li |
| 2023 | Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan |
| 2023 | GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. | Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang |
| 2023 | Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. | Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang |
| 2023 | Unsupervised Entity Alignment for Temporal Knowledge Graphs. | Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao |
| 2023 | Multi-Task Recommendations with Reinforcement Learning. | Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | SA-Fusion: Multimodal Fusion Approach for Web-based Human-Computer Interaction in the Wild. | Xingyu Liu, Pengfei Ren, Yuchen Chen, Cong Liu, Jing Wang, Haifeng Sun, Qi Qi, Jingyu Wang |
| 2023 | Measuring e-Commerce Metric Changes in Online Experiments. | C. H. Bryan Liu, Emma J. McCoy |
| 2023 | Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. | Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li |
| 2023 | Personalized Graph Signal Processing for Collaborative Filtering. | Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. | Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang |
| 2023 | Knowledge Graph Question Answering with Ambiguous Query. | Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2023 | Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users. | Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen |