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

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

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

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

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

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

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

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

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

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

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

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

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

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation - Yiping Song; Zheng Xie; Jianping Li; Luchen Liu; Ming Zhang; Zhiliang Tian (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner - Luchen Liu; Xixun Lin; Peng Zhang; Lei Zhang; Bin Wang (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media - Lei Zhang; Peng Zhang; Xi Zhu; Luchen Liu; Hongbo Xu (IEEE International Conference on Multimedia and Expo, ICME 2022, Taipei, Taiwan, July 18-22, 2022, 2022)

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data - Yiping Song; Wei Ju; Zhiliang Tian; Luchen Liu; Ming Zhang; Zheng Xie (Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III, 2022)

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

Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection - Lei Zhang; Peng Zhang; Luchen Liu; Jianlong Tan (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

Improving Cross-Domain Slot Filling with Common Syntactic Structure - Luchen Liu; Xixun Lin; Peng Zhang; Bin Wang (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph - Yongquan He; Peng Zhang; Luchen Liu; Qi Liang; Wenyuan Zhang; Chuang Zhang (Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021)

DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging - Youliang Yuan; Jiaxin Pan; Xu Jia; Luchen Liu; Min Peng (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

Bipartite Graph Embedding via Mutual Information Maximization - Jiangxia Cao; Xixun Lin; Shu Guo; Luchen Liu; Tingwen Liu; Bin Wang (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

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 (AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020, 2020)

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 (CoRR, 2020)

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

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction - Luchen Liu; Haoran Li; Zhiting Hu; Haoran Shi; Zichang Wang; Jian Tang; Ming Zhang (AMIA 2019, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019, 2019)

Predictive Multi-level Patient Representations from Electronic Health Records - Zichang Wang; Haoran Li; Luchen Liu; Haoxian Wu; Ming Zhang (2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019, 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 (12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019, Suzhou, China, October 19-21, 2019, 2019)

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation - Luchen Liu; Haoxian Wu; Zichang Wang; Zequn Liu; Ming Zhang (46th Computing in Cardiology, CinC 2019, Singapore, September 8-11, 2019, 2019)

Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification - Luchen Liu; Sheng Guo; Weilin Huang; Matthew R. Scott (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, 2019)

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

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

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

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction - Luchen Liu; Jianhao Shen; Ming Zhang; Zichang Wang; Jian Tang (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Index and Retrieve Multimedia Data: Cross-Modal Hashing by Learning Subspace Relation - Luchen Liu; Yang Yang; Mengqiu Hu; Xing Xu; Fumin Shen; Ning Xie; Zi Huang (Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II, 2018)

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

Topic medical concept embedding: Multi-sense representation learning for medical concept - Feng Qian; ChengYue Gong; Luchen Liu; Lei Sha; Ming Zhang (2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017, 2017)

Syntax Aware LSTM model for Semantic Role Labeling - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang (Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017, 2017)

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