Topic medical concept embedding: Multi-sense representation learning for medical concept. - Feng Qian; ChengYue Gong; Luchen Liu; Lei Sha; Ming Zhang 004 (BIBM, 2017)

Syntax Aware LSTM model for Semantic Role Labeling. - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang 004 (SPNLP@EMNLP, 2017)

Syntax Aware LSTM Model for Chinese Semantic Role Labeling. - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang 004 (CoRR, 2017)

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. - Luchen Liu; Jianhao Shen; Ming Zhang 004; Zichang Wang; Jian Tang 005 (AAAI, 2018)

Index and Retrieve Multimedia Data: Cross-Modal Hashing by Learning Subspace Relation. - Luchen Liu; Yang Yang 002; Mengqiu Hu; Xing Xu 001; Fumin Shen; Ning Xie 003; Zi Huang (DASFAA (2), 2018)

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. - Luchen Liu; Haoran Li 003; Zhiting Hu; Haoran Shi 001; Zichang Wang; Jian Tang 005; Ming Zhang 004 (AMIA, 2019)

Predictive Multi-level Patient Representations from Electronic Health Records. - Zichang Wang; Haoran Li 003; Luchen Liu; Haoxian Wu; Ming Zhang 004 (BIBM, 2019)

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

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. - Luchen Liu; Haoxian Wu; Zichang Wang; Zequn Liu; Ming Zhang 004 (CinC, 2019)

Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification. - Luchen Liu; Sheng Guo 005; Weilin Huang; Matthew R. Scott (ICASSP, 2019)

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. - Luchen Liu; Haoxian Wu; Zichang Wang; Zequn Liu; Ming Zhang 004 (CoRR, 2019)

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. - Luchen Liu; Zequn Liu; Haoxian Wu; Zichang Wang; Jianhao Shen; Yiping Song; Ming Zhang 004 (AMIA, 2020)

Improving Cross-Domain Slot Filling with Common Syntactic Structure. - Luchen Liu; Xixun Lin; Peng Zhang 001; Bin Wang 004 (ICASSP, 2021)

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

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. - Yongquan He; Peng Zhang 001; Luchen Liu; Qi Liang 002; Wenyuan Zhang 002; Chuang Zhang (IJCAI, 2021)

DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. - Youliang Yuan; Jiaxin Pan 002; Xu Jia; Luchen Liu; Min Peng 002 (IJCNN, 2021)

Bipartite Graph Embedding via Mutual Information Maximization. - Jiangxia Cao; Xixun Lin; Shu Guo; Luchen Liu; Tingwen Liu; Bin Wang 004 (WSDM, 2021)

Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. - Heng Tao Shen; Luchen Liu; Yang Yang 002; Xing Xu 001; Zi Huang; Fumin Shen; Richang Hong (IEEE Trans. Knowl. Data Eng., 2021)

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. - Luchen Liu; Xixun Lin; Peng Zhang 001; Lei Zhang 119; Bin Wang 004 (ICASSP, 2022)

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. - Yiping Song; Zheng Xie; Jianping Li; Luchen Liu; Ming Zhang 004; Zhiliang Tian (ICASSP, 2022)

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

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. - Yiping Song; Wei Ju 001; Zhiliang Tian; Luchen Liu; Ming Zhang 004; Zheng Xie (ICONIP (3), 2022)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Siyu Yi; Zhengyang Mao; Wei Ju 001; Yongdao Zhou; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (CoRR, 2023)

Zero-shot Node Classification with Graph Contrastive Embedding Network. - Wei Ju 001; Yifang Qin; Siyu Yi; Zhengyang Mao; Kangjie Zheng; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (Trans. Mach. Learn. Res., 2023)

Deep spatial-temporal structure learning for rumor detection on Twitter. - Qi Huang; Chuan Zhou 001; Jia Wu 001; Luchen Liu; Bin Wang 004 (Neural Comput. Appl., 2023)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Siyu Yi; Zhengyang Mao; Wei Ju 001; Yong-Dao Zhou; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (IEEE Trans. Big Data, 2023)

Poisoning medical knowledge using large language models. - Junwei Yang; Hanwen Xu; Srbuhi Mirzoyan; Tong Chen; Zixuan Liu 001; Zequn Liu; Wei Ju 001; Luchen Liu; Zhiping Xiao 001; Ming Zhang 004; Sheng Wang 012 (Nat. Mac. Intell., 2024)

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. - Xiao Luo 001; Daqing Wu; Yiyang Gu; Chong Chen 002; Luchen Liu; Jinwen Ma; Ming Zhang 004; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Trans. Knowl. Discov. Data, 2024)

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Zhengyang Mao; Luchen Liu; Yuhui Yuan; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2024)

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Yifang Qin; Siyu Yi; Daqing Wu; Luchen Liu; Ming Zhang 004 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. - Xixun Lin; Zhao Li 007; Peng Zhang 001; Luchen Liu; Chuan Zhou 001; Bin Wang 004; Zhihong Tian (IEEE Trans. Neural Networks Learn. Syst., 2024)

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. - Siyu Yi; Wei Ju 001; Yifang Qin; Xiao Luo 001; Luchen Liu; Yong-Dao Zhou; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Jinsheng Huang; Liang Chen 024; Taian Guo; Fu Zeng; Yusheng Zhao; Bohan Wu; Ye Yuan 016; Haozhe Zhao; Zhihui Guo; Yichi Zhang; Jingyang Yuan; Wei Ju 001; et al. (NAACL (Long Papers), 2025)

MASS: Multi-Agent Simulation Scaling for Portfolio Construction. - Taian Guo; Haiyang Shen; Jinsheng Huang; Zhengyang Mao; Junyu Luo 002; Zhuoru Chen; Xuhui Liu; Bingyu Xia; Luchen Liu; Yun Ma 002; Ming Zhang 004 (CoRR, 2025)