| 2022 | I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. | Yang Liu, Zequn Sun, Guangyao Li, Wei Hu |
| 2022 | Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks. | Hanyang Liu, Michael Montana, Dingwen Li, Chase Renfroe, Thomas George Kannampallil, Chenyang Lu |
| 2022 | Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. | Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen |
| 2022 | ExpertBert: Pretraining Expert Finding. | Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng |
| 2022 | Efficient Non-sampling Expert Finding. | Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng |
| 2022 | Are Gradients on Graph Structure Reliable in Gray-box Attacks? | Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li |
| 2022 | Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. | Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang |
| 2022 | Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. | Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu |
| 2022 | High-quality Task Division for Large-scale Entity Alignment. | Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang |
| 2022 | Twice - Twitter Content Embeddings. | Xianjing Liu, Behzad Golshan, Kenny Leung, Aman Saini, Vivek Kulkarni, Ali Mollahosseini, Jeff Mo |
| 2022 | Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. | Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang |
| 2022 | Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors. | Shiqui Liu, Dickson K. W. Chiu, Kevin K. W. Ho |
| 2022 | Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles. | Yen-Hung Liu, Otvio de Paula Albuquerque, Patrick C. K. Hung, Hossam A. Gabbar, Marcelo Fantinato, Farkhund Iqbal |
| 2022 | Diversity enhancement for collaborative filtering recommendation. | Yankai Liu |
| 2022 | Ensemble Learning Methods for Dirty Data. | Ling Liu |
| 2022 | Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. | Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng |
| 2022 | Improving Personality Consistency in Conversation by Persona Extending. | Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen |
| 2022 | Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou. | Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang Song |
| 2022 | Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? | Hao Li, Jie Shao, Kewen Liao, Mingjian Tang |
| 2022 | TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification. | Xue Li, Wei Shen, Denis Charles |
| 2022 | Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. | Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu |
| 2022 | Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. | Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang |
| 2022 | Cascade Variational Auto-Encoder for Hierarchical Disentanglement. | Fudong Lin, Xu Yuan, Lu Peng, Nian-Feng Tzeng |
| 2022 | Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. | Shaochuan Lin, Yicong Yu, Xiyu Ji, Taotao Zhou, Hengxu He, Zisen Sang, Jia Jia, Guodong Cao, Ning Hu |
| 2022 | Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. | Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee |