Poisoning medical knowledge using large language models. - Yang, Junwei; Xu, Hanwen; Mirzoyan, Srbuhi; Chen, Tong; Liu, Zixuan; Liu, Zequn; Ju, Wei; Liu, Luchen; Xiao, Zhiping; Zhang, Ming; Wang, Sheng (Nat. Mac. Intell., 2024)

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. - Luo, Xiao; Wu, Daqing; Gu, Yiyang; Chen, Chong; Liu, Luchen; Ma, Jinwen; Zhang, Ming; Deng, Minghua; Huang, Jianqiang; Hua, Xian-Sheng (ACM Trans. Knowl. Discov. Data, 2024)

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. - Luo, Xiao; Ju, Wei; Gu, Yiyang; Mao, Zhengyang; Liu, Luchen; Yuan, Yuhui; Zhang, Ming (ACM Trans. Knowl. Discov. Data, 2024)

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. - Lin, Xixun; Li, Zhao; Zhang, Peng; Liu, Luchen; Zhou, Chuan; Wang, Bin; Tian, Zhihong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. - Yi, Siyu; Ju, Wei; Qin, Yifang; Luo, Xiao; Liu, Luchen; Zhou, Yong-Dao; Zhang, Ming (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. - Luo, Xiao; Ju, Wei; Gu, Yiyang; Qin, Yifang; Yi, Siyu; Wu, Daqing; Liu, Luchen; Zhang, Ming (ACM Trans. Multim. Comput. Commun. Appl., 2024)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. - He, Yongquan; Zhang, Peng; Liu, Luchen; Liang, Qi; Zhang, Wenyuan; Zhang, Chuang (CoRR, 2024)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Huang, Jinsheng; Chen, Liang; Guo, Taian; Zeng, Fu; Zhao, Yusheng; Wu, Bohan; Yuan, Ye; Zhao, Haozhe; Guo, Zhihui; Zhang, Yichi; Yuan, Jingyang; Ju, Wei; et al. (CoRR, 2024)

Deep spatial-temporal structure learning for rumor detection on Twitter. - Huang, Qi; Zhou, Chuan; Wu, Jia; Liu, Luchen; Wang, Bin (Neural Comput. Appl., 2023)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Yi, Siyu; Mao, Zhengyang; Ju, Wei; Zhou, Yong-Dao; Liu, Luchen; Luo, Xiao; Zhang, Ming (IEEE Trans. Big Data, 2023)

Zero-shot Node Classification with Graph Contrastive Embedding Network. - Ju, Wei; Qin, Yifang; Yi, Siyu; Mao, Zhengyang; Zheng, Kangjie; Liu, Luchen; Luo, Xiao; Zhang, Ming (Trans. Mach. Learn. Res., 2023)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Yi, Siyu; Mao, Zhengyang; Ju, Wei; Zhou, Yongdao; Liu, Luchen; Luo, Xiao; Zhang, Ming (CoRR, 2023)

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. - Yi, Siyu; Ju, Wei; Qin, Yifang; Luo, Xiao; Liu, Luchen; Zhou, Yong-Dao; Zhang, Ming (CoRR, 2023)

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. - Song, Yiping; Xie, Zheng; Li, Jianping; Liu, Luchen; Zhang, Ming; Tian, Zhiliang (2022)

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. - Liu, Luchen; Lin, Xixun; Zhang, Peng; Zhang, Lei; Wang, Bin (2022)

Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media. - Zhang, Lei; Zhang, Peng; Zhu, Xi; Liu, Luchen; Xu, Hongbo (2022)

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. - Song, Yiping; Ju, Wei; Tian, Zhiliang; Liu, Luchen; Zhang, Ming; Xie, Zheng (2022)

Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. - Shen, Heng Tao; Liu, Luchen; Yang, Yang; Xu, Xing; Huang, Zi; Shen, Fumin; Hong, Richang (IEEE Trans. Knowl. Data Eng., 2021)

Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection. - Zhang, Lei; Zhang, Peng; Liu, Luchen; Tan, Jianlong (2021)

Improving Cross-Domain Slot Filling with Common Syntactic Structure. - Liu, Luchen; Lin, Xixun; Zhang, Peng; Wang, Bin (2021)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. - He, Yongquan; Zhang, Peng; Liu, Luchen; Liang, Qi; Zhang, Wenyuan; Zhang, Chuang (2021)

DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. - Yuan, Youliang; Pan, Jiaxin; Jia, Xu; Liu, Luchen; Peng, Min (2021)

Bipartite Graph Embedding via Mutual Information Maximization. - Cao, Jiangxia; Lin, Xixun; Guo, Shu; Liu, Luchen; Liu, Tingwen; Wang, Bin (2021)

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. - Liu, Luchen; Liu, Zequn; Wu, Haoxian; Wang, Zichang; Shen, Jianhao; Song, Yiping; Zhang, Ming (2020)

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. - Liu, Luchen; Liu, Zequn; Wu, Haoxian; Wang, Zichang; Shen, Jianhao; Song, Yiping; Zhang, Ming (CoRR, 2020)

Bipartite Graph Embedding via Mutual Information Maximization. - Cao, Jiangxia; Lin, Xixun; Guo, Shu; Liu, Luchen; Liu, Tingwen; Wang, Bin (CoRR, 2020)

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. - Liu, Luchen; Li, Haoran; Hu, Zhiting; Shi, Haoran; Wang, Zichang; Tang, Jian; Zhang, Ming (2019)

Predictive Multi-level Patient Representations from Electronic Health Records. - Wang, Zichang; Li, Haoran; Liu, Luchen; Wu, Haoxian; Zhang, Ming (2019)

Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation. - Li, Chengwei; Sun, Jie; Liu, Luchen; Zhang, Peng; Liu, Wenli; Zhang, Pu (2019)

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. - Liu, Luchen; Wu, Haoxian; Wang, Zichang; Liu, Zequn; Zhang, Ming (2019)

Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification. - Liu, Luchen; Guo, Sheng; Huang, Weilin; Scott, Matthew R. (2019)

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. - Liu, Luchen; Li, Haoran; Hu, Zhiting; Shi, Haoran; Wang, Zichang; Tang, Jian; Zhang, Ming (CoRR, 2019)

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. - Liu, Luchen; Wu, Haoxian; Wang, Zichang; Liu, Zequn; Zhang, Ming (CoRR, 2019)

Predictive Multi-level Patient Representations from Electronic Health Records. - Wang, Zichang; Li, Haoran; Liu, Luchen; Wu, Haoxian; Zhang, Ming (CoRR, 2019)

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. - Liu, Luchen; Shen, Jianhao; Zhang, Ming; Wang, Zichang; Tang, Jian (2018)

Index and Retrieve Multimedia Data: Cross-Modal Hashing by Learning Subspace Relation. - Liu, Luchen; Yang, Yang; Hu, Mengqiu; Xu, Xing; Shen, Fumin; Xie, Ning; Huang, Zi (2018)

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. - Liu, Luchen; Shen, Jianhao; Zhang, Ming; Wang, Zichang; Tang, Jian (CoRR, 2018)

Topic medical concept embedding: Multi-sense representation learning for medical concept. - Qian, Feng; Gong, ChengYue; Liu, Luchen; Sha, Lei; Zhang, Ming (2017)

Syntax Aware LSTM model for Semantic Role Labeling. - Qian, Feng; Sha, Lei; Chang, Baobao; Liu, Luchen; Zhang, Ming (2017)

Syntax Aware LSTM Model for Chinese Semantic Role Labeling. - Qian, Feng; Sha, Lei; Chang, Baobao; Liu, Luchen; Zhang, Ming (CoRR, 2017)