| 2023 | MeFormer: Generating Radiology Reports via Memory Enhanced Pretraining Transformer. | Fang Li, Pengfei Wang, Kuan Lin, Jiangtao Wang |
| 2023 | Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge. | Dong Li, Pancheng Wang, Liangliang He, Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang |
| 2023 | Real-Time Information Extraction for Phone Review in Car Loan Audit. | Hongxuan Liu, Jie Wang, Yansong Wang, Shuling Yang, Hanzhu Chen, Binbin Fang |
| 2023 | PFKMaster: A Knowledge-Driven Flow Control System for Large-Scale Power Grid. | Huaiyuan Liu, Hongzhi Wang, Hekai Huang, Donghua Yang, Yong Tang, Yanhao Huang |
| 2023 | Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. | Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin |
| 2023 | Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. | Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming |
| 2023 | Towards Effective Trajectory Similarity Measure in Linear Time. | Yuanjun Liu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao |
| 2023 | Powering Fine-Tuning: Learning Compatible and Class-Sensitive Representations for Domain Adaption Few-shot Relation Extraction. | Yijun Liu, Feifei Dai, Xiaoyan Gu, Haihui Fan, Dong Liu, Bo Li, Weiping Wang |
| 2023 | Mobile Application Ranking with Transductive Transfer Learning. | Xichang Li, Surya Putra Santoso, Rui Zhang |
| 2023 | Weakly-Supervised Multi-action Offline Reinforcement Learning for Intelligent Dosing of Epilepsy in Children. | Zhuo Li, Yifei Shen, Ruiqing Xu, Yu Yang, Jiannong Cao, Linchun Wu, Qing Wu |
| 2023 | Rainfall Spatial Interpolation with Graph Neural Networks. | Jia Li, Yanyan Shen, Lei Chen, Charles Wang Wai Ng |
| 2023 | Process Drift Detection in Event Logs with Graph Convolutional Networks. | Leilei Lin, Yumeng Jin, Lijie Wen, Wenlong Chen, Ying Di, Yusong Xu, Jianmin Wang |
| 2023 | Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation. | Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li |
| 2023 | PMJEE: A Prototype Matching Framework for Joint Event Extraction. | Haochen Li, Tong Mo, Di Geng, Weiping Li |
| 2023 | Enlarge the Hidden Distance: A More Distinctive Embedding to Tell Apart Unknowns for Few-Shot Learning. | Zhaochen Li, Kedian Mu |
| 2023 | FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation. | Ming Li, Naiyin Liu, Xiaofeng Pan, Yang Huang, Ningning Li, Yingmin Su, Chengjun Mao, Bo Cao |
| 2023 | Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. | Yucheng Li, Defu Lian, Jin Chen |
| 2023 | Global-Aware Model-Free Self-distillation for Recommendation System. | Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu |
| 2023 | Optimizing Empathetic Response by Generating and Integrating Emotion Feedback and Topic Discussion. | Jing Li, Donghong Han, Shi Feng, Yifei Zhang |
| 2023 | Adversarial Spatial-Temporal Graph Network for Traffic Speed Prediction with Missing Values. | Pengfei Li, Junhua Fang, Wei Chen, An Liu, Pingfu Chao |
| 2023 | GIPA: A General Information Propagation Algorithm for Graph Learning. | Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou |
| 2023 | EGL: Efficient Graph Learning with Safety Constrains for Heterogeneous Trajectory Prediction. | Weijie Lian, Yuze Wang, Ximu Zeng, Shuncheng Liu, Yuyang Xia, Huiyong Tang, Han Su |
| 2023 | Region-Aware Graph Convolutional Network for Traffic Flow Forecasting. | Haitao Liang, An Liu, Jianfeng Qu, Wei Chen, Xiaofang Zhang, Lei Zhao |
| 2023 | Knowledge Hypergraph Reasoning Based on Representation Learning. | Zhao Li |
| 2023 | Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI Recommendation. | Pengxiang Lan, Yihao Zhang, Haoran Xiang, Yuhao Wang, Wei Zhou |