Ankle-angle analysis of drop-foot patients in walking with FES. - Ningjia Yang; Feng Duan; Sicen Liu; Lili Dai; Jeffrey Too Chuan Tan; Binbin Xu 001 (ROBIO, 2012)

A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction. - Sicen Liu; Tao Liu 001; Haoyang Ding; Buzhou Tang; Xiaolong Wang 001; Qingcai Chen; Jun Yan 010; Yi Zhou 005 (Int. J. Mach. Learn. Cybern., 2020)

Chinese Spelling Text Generation of Mathematical Formulas. - Su Dong; Shan Liu; Sicen Liu; Buzhou Tang (ICASSP, 2022)

HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis. - Xianbing Zhao; Yixin Chen; Yiting Chen 010; Sicen Liu; Buzhou Tang (ICME, 2022)

CATNet: Cross-event attention-based time-aware network for medical event prediction. - Sicen Liu; Xiaolong Wang 001; Yang Xiang 003; Hui Xu; Hui Wang; Buzhou Tang (Artif. Intell. Medicine, 2022)

Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records. - Sicen Liu; Xiaolong Wang 001; Yongshuai Hou; Ge Li 002; Hui Wang; Hui Xu; Yang Xiang 003; Buzhou Tang (CoRR, 2022)

Multi-channel fusion LSTM for medical event prediction using EHRs. - Sicen Liu; Xiaolong Wang 001; Yang Xiang 003; Hui Xu; Hui Wang; Buzhou Tang (J. Biomed. Informatics, 2022)

Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning. - Lei Liu; Sinan Wang; Yepang Liu 001; Jinliang Deng; Sicen Liu (Internetware, 2023)

TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis. - Xianbing Zhao; Yixin Chen; Sicen Liu; Xuan Zang; Yang Xiang 003; Buzhou Tang (WWW, 2023)

FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software. - Ying Xiao; Shangwen Wang; Sicen Liu; Dingyuan Xue; Xian Zhan; Yepang Liu 001 (CoRR, 2023)

Medication Recommendation via Domain Knowledge Informed Deep Learning. - Sicen Liu; Xiaolong Wang; Xianbing Zhao; Hao Chen (CoRR, 2023)

Shared-Private Memory Networks For Multimodal Sentiment Analysis. - Xianbing Zhao; Yinxin Chen; Sicen Liu; Buzhou Tang (IEEE Trans. Affect. Comput., 2023)

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records. - Sicen Liu; Xiaolong Wang 001; Yongshuai Hou; Ge Li 002; Hui Wang; Hui Xu; Yang Xiang 003; Buzhou Tang (IEEE J. Biomed. Health Informatics, 2023)

SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation. - Sicen Liu; Xiaolong Wang 001; Jingcheng Du; Yongshuai Hou; Xianbing Zhao; Hui Xu; Hui Wang; Yang Xiang 003; Buzhou Tang (IEEE J. Biomed. Health Informatics, 2023)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning. - Sicen Liu; Xiaolong Wang 001; Xianbing Zhao; Hao Chen (BIBM, 2024)

Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction. - Sicen Liu; Hao Chen (TAI4H, 2024)

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks. - Junlin Hou; Sicen Liu; Yequan Bie; Hongmei Wang; Andong Tan; Luyang Luo; Hao Chen 011 (CoRR, 2024)

MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions. - Ying Xiao; Jie M. Zhang; Yepang Liu 001; Mohammad Reza Mousavi 001; Sicen Liu; Dingyuan Xue (Proc. ACM Softw. Eng., 2024)

FusionEncoder: identification of intrinsically disordered regions based on multi-feature fusion. - Sicen Liu; Shutao Chen; Tao Bai; Bin Liu 014 (Bioinform., 2025)