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Jiangtao Ren
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2020 – today
- 2024
- [j21]Jing Wang, Jiangtao Ren
:
Graphormer based contrastive learning for recommendation. Appl. Soft Comput. 159: 111626 (2024) - [j20]Jiawei Long
, Jiangtao Ren
:
Interpretable multidisease diagnosis and label noise detection based on a matching network and self-paced learning. Pattern Recognit. 148: 110178 (2024) - 2023
- [j19]Lin Wu
, Liying Huang, Mei Li, Zhaojun Xiong, Dinghui Liu, Yong Liu, Suzhen Liang, Hua Liang, Zifeng Liu, Xiaoxian Qian, Jiangtao Ren, Yanming Chen:
Differential diagnosis of secondary hypertension based on deep learning. Artif. Intell. Medicine 141: 102554 (2023) - [i6]Tengyang Chen, Jiangtao Ren:
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection. CoRR abs/2309.06747 (2023) - [i5]Tengyang Chen, Jiangtao Ren:
MFL-YOLO: An Object Detection Model for Damaged Traffic Signs. CoRR abs/2309.06750 (2023) - [i4]Juwu Zheng, Jiangtao Ren:
Road Disease Detection based on Latent Domain Background Feature Separation and Suppression. CoRR abs/2309.07616 (2023) - [i3]Juwu Zheng, Jiangtao Ren:
Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection. CoRR abs/2310.11307 (2023) - 2021
- [j18]Ziheng Chen, Jiangtao Ren
:
Multi-label text classification with latent word-wise label information. Appl. Intell. 51(2): 966-979 (2021) - [j17]Zhaoning Li
, Qi Li, Xiaotian Zou, Jiangtao Ren:
Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings. Neurocomputing 423: 207-219 (2021) - [j16]Qianlong Wang
, Jiangtao Ren
:
Summary-aware attention for social media short text abstractive summarization. Neurocomputing 425: 290-299 (2021) - [j15]Ming Yuan, Jiangtao Ren:
Numerical Feature Transformation-based Sequence Generation Model for Multi-disease Diagnosis. Int. J. Pattern Recognit. Artif. Intell. 35(10): 2159034:1-2159034:21 (2021) - [j14]Liao Cheng, Feiyang Xie, Jiangtao Ren:
KB-QA based on multi-task learning and negative sample generation. Inf. Sci. 574: 349-362 (2021) - [j13]Naiyin Liu, Qianlong Wang
, Jiangtao Ren
:
Label-Embedding Bi-directional Attentive Model for Multi-label Text Classification. Neural Process. Lett. 53(1): 375-389 (2021) - 2020
- [j12]Chengjie Mou, Jiangtao Ren
:
Automated ICD-10 code assignment of nonstandard diagnoses via a two-stage framework. Artif. Intell. Medicine 108: 101939 (2020) - [j11]Jiawei Long
, Zhaopeng Chen, Weibing He, Taiyu Wu, Jiangtao Ren
:
An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market. Appl. Soft Comput. 91: 106205 (2020) - [j10]Ziheng Chen, Chaojie Lai, Jiangtao Ren
:
Hospital readmission prediction based on long-term and short-term information fusion. Appl. Soft Comput. 96: 106690 (2020) - [j9]Jiangtao Ren
, Naiyin Liu, Xiaojing Wu:
Clinical questionnaire filling based on question answering framework. Int. J. Medical Informatics 141: 104225 (2020) - [j8]Zhaoning Li
, Jiangtao Ren
:
Fine-tuning ERNIE for chest abnormal imaging signs extraction. J. Biomed. Informatics 108: 103492 (2020) - [c37]Mengqiang Chen, Zijie Yan, Jiangtao Ren, Weigang Wu:
Standard Deviation Based Adaptive Gradient Compression For Distributed Deep Learning. CCGRID 2020: 529-538 - [c36]Qianlong Wang, Jiangtao Ren:
Label Correction Model for Aspect-based Sentiment Analysis. COLING 2020: 822-832 - [c35]Qianlong Wang, Jiangtao Ren
:
Sequence Prediction Model for Aspect-Level Sentiment Classification. ECAI 2020: 2196-2203 - [c34]Liao Cheng, Ziheng Chen, Jiangtao Ren:
Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning. IJCNN 2020: 1-8 - [c33]Qianlong Wang, Jiangtao Ren:
Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching. IJCNN 2020: 1-7 - [i2]Zhaoning Li, Jiangtao Ren:
Fine-tuning ERNIE for chest abnormal imaging signs extraction. CoRR abs/2010.13040 (2020)
2010 – 2019
- 2019
- [j7]Jiangtao Ren
, Jiawei Long
, Zhikang Xu:
Financial news recommendation based on graph embeddings. Decis. Support Syst. 125 (2019) - [j6]Ce Gao, Jiangtao Ren
:
A topic-driven language model for learning to generate diverse sentences. Neurocomputing 333: 374-380 (2019) - [j5]Chaotao Chen, Run Zhuo, Jiangtao Ren
:
Gated recurrent neural network with sentimental relations for sentiment classification. Inf. Sci. 502: 268-278 (2019) - [j4]Mingwang Yin, Chengjie Mou, Kaineng Xiong, Jiangtao Ren
:
Chinese clinical named entity recognition with radical-level feature and self-attention mechanism. J. Biomed. Informatics 98 (2019) - [c32]Yuwen Chen, Jiangtao Ren
:
Automatic ICD code assignment utilizing textual descriptions and hierarchical structure of ICD code. BIBM 2019: 348-353 - [c31]Xinyuan Wang, Jiangtao Ren
:
Semi-supervised learning for classification on Chinese drug treatment questions. BIBM 2019: 991-994 - [c30]Ziheng Chen, Jiangtao Ren
:
Short Text Embedding for Clustering Based on Word and Topic Semantic Information. DSAA 2019: 61-70 - [c29]Huiwen Jiang, Weigang Wu, Jiangtao Ren
:
Aspect-Based Sentiment Analysis with Adjustments to Irrelevant Sentimental-Related Features. ICTAI 2019: 294-299 - [c28]Hongli Wang, Jiangtao Ren
:
GLSE: Global-Local Selective Encoding for Response Generation in Neural Conversation Model. ICTAI 2019: 1203-1208 - [c27]Qianlong Wang, Jiangtao Ren
:
Abstractive Summarization with Keyword and Generated Word Attention. IJCNN 2019: 1-8 - [c26]Qianlong Wang, Jiangtao Ren
:
Paraphrase Generation with Collaboration between the Forward and the Backward Decoder. IJCNN 2019: 1-8 - [i1]Zhaoning Li, Qi Li, Xiaotian Zou, Jiangtao Ren:
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings. CoRR abs/1904.07629 (2019) - 2018
- [j3]Jiangtao Ren
, Kang Li, Chaotao Chen:
Supervised Dirichlet Process Mixtures of Principal Component Analysis. Neurocomputing 305: 15-26 (2018) - [c25]Hongli Wang, Jiangtao Ren:
A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification. ACML 2018: 630-645 - [c24]Wenjie Ou, Chaotao Chen, Jiangtao Ren
:
T2S: An Encoder-Decoder Model for Topic-Based Natural Language Generation. NLDB 2018: 143-151 - 2017
- [j2]Chaotao Chen, Jiangtao Ren
:
Forum latent Dirichlet allocation for user interest discovery. Knowl. Based Syst. 126: 1-7 (2017) - [c23]Jiangtao Ren
, Qiwei Xie:
Efficient OD Trip Matrix Prediction Based on Tensor Decomposition. MDM 2017: 180-185 - [c22]Chaotao Chen, Jiangtao Ren
:
An Improved PLDA Model for Short Text. NLDB 2017: 58-70 - 2014
- [j1]Hui Yuan, Ju Liu, Jiangtao Ren, Yujun Li:
Coding modes-based frame skip avoidance scheme for low bit rate video coding. J. Real Time Image Process. 9(4): 609-619 (2014) - [c21]Kehui Li, Jiangtao Ren
:
Min-hash sketch construction via nonparametric clustering. ICME 2014: 1-6 - [c20]Shaofeng Hu, Jiangtao Ren
, Changshui Zhang, Chaogui Zhang:
Domain Transfer via Multiple Sources Regularization. PAKDD (2) 2014: 522-533 - [c19]Jianbo Luo, Jiangtao Ren
:
An Infinite Latent Generalized Linear Model. WAIM 2014: 155-166 - 2013
- [c18]Chaogui Zhang, Jiangtao Ren:
GCBN: A Hybrid Spatio-temporal Causal Model for Traffic Analysis and Prediction. WAIM 2013: 265-276 - 2012
- [c17]Ming Zeng, Jiangtao Ren
:
Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning. PAKDD (2) 2012: 280-291 - 2011
- [c16]Yi Jiang, Jiangtao Ren:
Eigenvalue Sensitive Feature Selection. ICML 2011: 89-96 - [c15]Yi Jiang, Jiangtao Ren
:
Eigenvector Sensitive Feature Selection for Spectral Clustering. ECML/PKDD (2) 2011: 114-129 - 2010
- [c14]Jiangtao Ren
, Zhou Liang, Shaofeng Hu:
Multiple Kernel Learning Improved by MMD. ADMA (2) 2010: 63-74 - [c13]Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren
:
Efficient and Numerically Stable Sparse Learning. ECML/PKDD (3) 2010: 483-498 - [c12]Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren
:
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. ECML/PKDD (3) 2010: 547-562 - [c11]Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang:
Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM 2010: 629-640
2000 – 2009
- 2009
- [c10]Jiangtao Ren
, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng
, David Wai-Lok Cheung:
Naive Bayes Classification of Uncertain Data. ICDM 2009: 944-949 - [c9]Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren
, Deepak S. Turaga, Olivier Verscheure:
Cross domain distribution adaptation via kernel mapping. KDD 2009: 1027-1036 - [c8]Xiaoxiao Shi
, Wei Fan, Qiang Yang, Jiangtao Ren
:
Relaxed Transfer of Different Classes via Spectral Partition. ECML/PKDD (2) 2009: 366-381 - [c7]Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren
:
Universal Learning over Related Distributions and Adaptive Graph Transduction. ECML/PKDD (2) 2009: 678-693 - [c6]Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren
:
Latent space domain transfer between high dimensional overlapping distributions. WWW 2009: 91-100 - 2008
- [c5]ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren
, Jing Peng, Kun Zhang:
Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138 - [c4]Jiangtao Ren
, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu:
Forward Semi-supervised Feature Selection. PAKDD 2008: 970-976 - [c3]Xiaoxiao Shi
, Wei Fan, Jiangtao Ren
:
Actively Transfer Domain Knowledge. ECML/PKDD (2) 2008: 342-357 - [c2]Jiangtao Ren, Xiaoxiao Shi
, Wei Fan, Philip S. Yu:
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. SDM 2008: 565-576 - 2005
- [c1]Jian Yin, Xianli Fan, Yiqun Chen, Jiangtao Ren:
High-Dimensional Shared Nearest Neighbor Clustering Algorithm. FSKD (2) 2005: 494-502
Coauthor Index
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last updated on 2024-06-03 00:55 CEST by the dblp team
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