Luchen Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Mutual Information Maximization

Temporal Events

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR (2024)
Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. CoRR (2024)
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR (2023)
Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR (2023)
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. 2023 (2023)
Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang
Deep spatial-temporal structure learning for rumor detection on Twitter. Neural Comput. Appl. 35 (18) (2023)
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data 9 (6) (2023)
Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. ICASSP (2022)
Lei Zhang, Peng Zhang, Xi Zhu, Luchen Liu, Hongbo Xu
Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media. ICME (2022)
Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. ICONIP (3) (2022)
Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP (2022)
Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang
Improving Cross-Domain Slot Filling with Common Syntactic Structure. ICASSP (2021)
Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 33 (10) (2021)
Lei Zhang, Peng Zhang, Luchen Liu, Jianlong Tan
Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection. ICASSP (2021)
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. IJCAI (2021)
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
Bipartite Graph Embedding via Mutual Information Maximization. WSDM (2021)
Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng
DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. IJCNN (2021)
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
Bipartite Graph Embedding via Mutual Information Maximization. CoRR (2020)
Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. CoRR (2020)
Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. AMIA (2020)
Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. CinC (2019)
Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. CoRR (2019)
Chengwei Li, Jie Sun, Luchen Liu, Peng Zhang, Wenli Liu, Pu Zhang
Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation. CISP-BMEI (2019)
Luchen Liu, Sheng Guo, Weilin Huang, Matthew R. Scott
Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification. ICASSP (2019)
Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang
Predictive Multi-level Patient Representations from Electronic Health Records. BIBM (2019)
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR (2019)
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA (2019)
Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang
Predictive Multi-level Patient Representations from Electronic Health Records. CoRR (2019)
Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI (2018)
Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR (2018)
Luchen Liu, Yang Yang, Mengqiu Hu, Xing Xu, Fumin Shen, Ning Xie, Zi Huang
Index and Retrieve Multimedia Data: Cross-Modal Hashing by Learning Subspace Relation. DASFAA (2) (2018)