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2020 – today
- 2024
[j9]Junwei Yang
, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang:
Poisoning medical knowledge using large language models. Nat. Mac. Intell. 6(10): 1156-1168 (2024)- [j8]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): 14:1-14:26 (2024) - [j7]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): 34:1-34:23 (2024) - [j6]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): 4607-4621 (2024) - [j5]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): 82:1-82:19 (2024) - [i11]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 abs/2402.12074 (2024) - [i10]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 abs/2407.00468 (2024) - 2023
- [j4]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): 12995-13005 (2023) - [j3]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): 1683-1696 (2023) - [j2]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) - [i9]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 abs/2308.16609 (2023) - [i8]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 abs/2309.04694 (2023) - 2022
- [c19]Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian:
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. ICASSP 2022: 6602-6606 - [c18]Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang:
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP 2022: 8347-8351 - [c17]Lei Zhang, Peng Zhang, Xi Zhu, Luchen Liu, Hongbo Xu:
Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media. ICME 2022: 1-6 - [c16]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: 591-603 - 2021
- [j1]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): 3351-3365 (2021) - [c15]Lei Zhang, Peng Zhang, Luchen Liu, Jianlong Tan:
Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection. ICASSP 2021: 3520-3524 - [c14]Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang:
Improving Cross-Domain Slot Filling with Common Syntactic Structure. ICASSP 2021: 7638-7642 - [c13]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: 1915-1921 - [c12]Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng:
DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. IJCNN 2021: 1-7 - [c11]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. WSDM 2021: 635-643 - 2020
- [c10]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 - [i7]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 abs/2004.05318 (2020) - [i6]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. CoRR abs/2012.05442 (2020)
2010 – 2019
- 2019
- [c9]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 - [c8]Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. BIBM 2019: 987-990 - [c7]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: 1-7 - [c6]Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. CinC 2019: 1-4 - [c5]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: 1682-1686 - [i5]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 abs/1903.08652 (2019) - [i4]Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. CoRR abs/1910.06792 (2019) - [i3]Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. CoRR abs/1911.05698 (2019) - 2018
- [c4]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI 2018: 109-116 - [c3]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: 606-621 - [i2]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR abs/1803.04837 (2018) - 2017
- [c2]Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM 2017: 404-409 - [c1]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [i1]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017)
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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