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Jiang Zhong
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2020 – today
- 2024
- [j32]Qin Lei, Jiang Zhong, Chen Wang, Xue Li:
Integrating Crack Causal Augmentation Framework and Dynamic Binary Threshold for imbalanced crack instance segmentation. Expert Syst. Appl. 240: 122552 (2024) - [j31]Rongzhen Li, Jiang Zhong, Zhongxuan Xue, Qizhu Dai, Xue Li:
Self-supervised commonsense knowledge learning for document-level relation extraction. Expert Syst. Appl. 250: 123921 (2024) - [j30]Hong Yin, Jiang Zhong, Rongzhen Li, Xue Li:
Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion. Knowl. Based Syst. 295: 111828 (2024) - [j29]Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, Chen Wang, Wenzhu Wang, Xue Li:
Adaptive class augmented prototype network for few-shot relation extraction. Neural Networks 169: 134-142 (2024) - [j28]Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie:
BALQUE: Batch active learning by querying unstable examples with calibrated confidence. Pattern Recognit. 151: 110385 (2024) - [j27]Qin Lei, Hong Jin, Jia Lee, Jiang Zhong:
Land use and land cover change simulation enhanced by asynchronous communicating cellular automata. Theor. Comput. Sci. 985: 114331 (2024) - [j26]Qin Lei, Jiang Zhong, Chen Wang:
Joint Optimization of Crack Segmentation With an Adaptive Dynamic Threshold Module. IEEE Trans. Intell. Transp. Syst. 25(7): 6902-6916 (2024) - [j25]Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang:
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. IEEE Trans. Knowl. Data Eng. 36(2): 795-808 (2024) - [c63]Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong:
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI 2024: 17781-17789 - [c62]Chen Wang, Cong Hu, Jiang Zhong, Huawen Liu, Qi Li, Donghua Yu, Xue Li:
Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. APWeb/WAIM (1) 2024: 18-31 - [c61]Tianyu Zhou, Rongzhen Li, Jiang Zhong, Qizhu Dai, Yuxuan Liu, Xue Li:
Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization. APWeb/WAIM (1) 2024: 233-247 - [c60]Yangyang Sun, Fei Meng, Ruiyuan Li, Yongxin Tang, Chao Chen, Jiang Zhong:
Streaming Trajectory Segmentation Based on Stay-Point Detection. DASFAA (1) 2024: 203-213 - [c59]Qin Lei, Jiang Zhong, Qizhu Dai:
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. ECCV (84) 2024: 233-250 - [c58]Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin:
E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping. HPCA 2024: 46-60 - [c57]Hong Yin, Jiang Zhong, Rongzhen Li, Jiaqi Wang, Chen Wang, Qizhu Dai, Xue Li:
Facilitating Message Passing with Potential Links for Knowledge Graph Completion. ICASSP 2024: 7525-7529 - [c56]Qin Lei, Rui Yang, Jiang Zhong, Rongzhen Li, Muyang He, Mianxiong Dong, Kaoru Ota:
Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity. ICME 2024: 1-6 - [i1]Qin Lei, Jiang Zhong, Qizhu Dai:
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. CoRR abs/2407.08209 (2024) - 2023
- [j24]Chen Wang, Jiang Zhong, Qizhu Dai, Rongzhen Li, Qien Yu, Bin Fang:
Local structure consistency and pixel-correlation distillation for compact semantic segmentation. Appl. Intell. 53(6): 6307-6323 (2023) - [j23]Jiang Zhong, Xuming Jiang, Ming Lin, Huiliang Dai, Fengle Zhu, Xin Qiao, Zhangfeng Zhao, Jiyu Peng:
Fast quantification of matcha adulterants with laser-induced breakdown spectroscopy spectrum and image. Comput. Electron. Agric. 209: 107813 (2023) - [j22]Hong Yin, Jiang Zhong, Chen Wang, Rongzhen Li, Xue Li:
GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion. Expert Syst. Appl. 228: 120380 (2023) - [j21]Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Qien Yu, Fengyuan Shi, Rongzhen Li, Xue Li, Bin Fang:
Channel Correlation Distillation for Compact Semantic Segmentation. Int. J. Pattern Recognit. Artif. Intell. 37(3): 2350004:1-2350004:24 (2023) - [j20]Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Fengyuan Shi, Bin Fang, Xue Li:
Multi-view knowledge distillation for efficient semantic segmentation. J. Real Time Image Process. 20(2): 39 (2023) - [j19]Chen Wang, Jiang Zhong, Qizhu Dai, Qien Yu, Yafei Qi, Bin Fang, Xue Li:
MTED: multiple teachers ensemble distillation for compact semantic segmentation. Neural Comput. Appl. 35(16): 11789-11806 (2023) - [c55]Jiaqi Wang, Jiang Zhong, Hong Yin, Chen Wang, Qizhu Dai, Yang Xia, Rongzhen Li:
Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension. ADMA (4) 2023: 47-62 - [c54]Wenyue Hu, Jiang Zhong, Yang Xia, Yangmei Zhou, Rongzhen Li:
Adaptive Prototype Network with Common and Discriminative Representation Learning for Few-Shot Relation Extraction. ADMA (4) 2023: 63-77 - [c53]Ai Chen, Jiang Zhong, Qizhu Dai, Chen Wang, Rongzhen Li:
Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation. ADMA (4) 2023: 78-93 - [c52]Yuxuan Liu, Jiang Zhong:
Implicit Sentiment Extraction Using Structure Generation with Sentiment Instructor Prompt Template. ADMA (4) 2023: 94-108 - [c51]Qizhu Dai, Qin Lei, Jiang Zhong, Xue Li, Chen Wang, Hong Yin, Rongzhen Li:
Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking. BIBM 2023: 2967-2974 - [c50]Qin Lei, Rongzhen Li, Jiang Zhong, Chen Wang, Qizhu Dai:
Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation. BIBM 2023: 3059-3066 - [c49]Shashank Hebbar, Ying Xie, Jiang Zhong:
TreeBERT: Advanced Representation Learning for Relation Extraction. IEEE Big Data 2023: 5960-5966 - [c48]Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin:
DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs. DAC 2023: 1-6 - [c47]Qizhu Dai, Jiang Zhong, Wei Zhu, Chen Wang, Hong Yin, Qin Lei, Xue Li, Rongzhen Li:
Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation. ECAI 2023: 526-532 - [c46]Hong Yin, Jiang Zhong, Qizhu Dai:
Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. ECAI 2023: 2890-2897 - [c45]Rongzhen Li, Jiang Zhong, Zhongxuan Xue, Qizhu Dai, Chen Wang, Xue Li:
Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning. ICASSP 2023: 1-5 - [c44]Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Rongzhen Li, Qin Lei, Bin Fang, Xue Li:
PRRD: Pixel-Region Relation Distillation For Efficient Semantic Segmentation. ICASSP 2023: 1-5 - [c43]Qin Lei, Jiang Zhong, Chen Wang, Yang Xia, Yangmei Zhou:
Dynamic Thresholding for Accurate Crack Segmentation Using Multi-objective Optimization. ECML/PKDD (1) 2023: 389-404 - [c42]Hang Huang, Jiangshan Lai, Jia Rao, Hui Lu, Wenlong Hou, Hang Su, Quan Xu, Jiang Zhong, Jiahao Zeng, Xu Wang, Zhengyu He, Weidong Han, Jiang Liu, Tao Ma, Song Wu:
PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment. SOSP 2023: 515-530 - 2022
- [j18]Zhangfeng Zhao, Gaohong Liu, Yueliang Wang, Jiyu Peng, Xin Qiao, Jiang Zhong:
Research on Dynamic Measurement Method of Flow Rate in Tea Processing. Sensors 22(11): 4294 (2022) - [j17]Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong:
Gray-Box Shilling Attack: An Adversarial Learning Approach. ACM Trans. Intell. Syst. Technol. 13(5): 82:1-82:21 (2022) - [c41]Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang:
Workload consolidation in alibaba clusters: the good, the bad, and the ugly. SoCC 2022: 210-225 - [c40]Xiaojun Zheng, Qixian Wu, Jiang Zhong:
Research on Vehicle Loading Path Optimization based on Hard Time Window Constraint. CSCWD 2022: 559-563 - [c39]Ganghong Huang, Jiang Zhong, Chen Wang, Qizhu Dai, Rongzhen Li:
Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition. KSEM (3) 2022: 91-103 - [c38]Zhongxuan Xue, Jiang Zhong, Qizhu Dai, Rongzhen Li:
CorefDRE: Coref-Aware Document-Level Relation Extraction. KSEM (3) 2022: 116-128 - [c37]Xinyi Lai, Yufeng Lyu, Jiang Zhong, Chen Wang, Qizhu Dai, Gang Li:
ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning. PRICAI (2) 2022: 444-458 - [c36]Yupin Yang, Jiang Zhong, Chen Wang, Qing Li:
Exploring Relevance and Coherence for Automated Text Scoring using Multi-task Learning. SEKE 2022: 323-328 - [c35]Qiuyu Tao, Jiang Zhong, Rongzhen Li:
AESPrompt: Self-supervised Constraints for Automated Essay Scoring with Prompt Tuning. SEKE 2022: 335-340 - 2021
- [j16]Xiaojun Zheng, Shiduo Ning, Hao Sun, Jiang Zhong, Xiaoying Tong:
Solving Multi-Objective Two-Sided Assembly Line Balancing Problems by Harmony Search Algorithm Based on Pareto Entropy. IEEE Access 9: 121728-121742 (2021) - [c34]Shiduo Ning, Jiang Zhong, Xiaojun Zheng:
Design of Virtual Intelligent Parking Lot System Based on Signal Request Mechanism. CSCWD 2021: 593-597 - [c33]Yufeng Lyu, Jiang Zhong:
DSMER: A Deep Semantic Matching Based Framework for Named Entity Recognition. ECIR (1) 2021: 419-432 - [c32]Chen Wang, Jiang Zhong:
GCE: Global Contextual Information for Knowledge Graph Embedding. ECIR (1) 2021: 680-693 - [c31]Yupin Yang, Jiang Zhong:
Automated Essay Scoring via Example-Based Learning. ICWE 2021: 201-208 - [c30]Xiuyue Zeng, Jiang Zhong, Chen Wang, Cong Hu:
Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategy. KSEM 2021: 30-40 - 2020
- [j15]Guizi Ye, Hongyu Wu, Jinjiang Huang, Wei Wang, Kuikui Ge, Guodong Li, Jiang Zhong, Qingshan Huang:
LAMP2: a major update of the database linking antimicrobial peptides. Database J. Biol. Databases Curation 2020 (2020) - [j14]Qing Li, Lili Li, Jiang Zhong, L. Frank Huang:
Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit. J. Vis. Commun. Image Represent. 72: 102901 (2020) - [j13]Qing Li, Lili Li, Weinan Wang, Qi Li, Jiang Zhong:
A comprehensive exploration of semantic relation extraction via pre-trained CNNs. Knowl. Based Syst. 194: 105488 (2020) - [j12]Qi Li, Jiang Zhong, Zehong Cao, Xue Li:
Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. Optim. Methods Softw. 35(6): 1144-1159 (2020) - [j11]Qing Li, Lili Li, Qi Li, Jiang Zhong:
A Comprehensive Exploration on Spider with Fuzzy Decision Text-to-SQL Model. IEEE Trans. Ind. Informatics 16(4): 2542-2550 (2020) - [c29]Ning Chang, Jiang Zhong, Qing Li, Jiang Zhu:
A Mixed Semantic Features Model for Chinese NER with Characters and Words. ECIR (1) 2020: 356-368 - [c28]Zihan He, Jiang Zhong, Chen Wang, Cong Hu:
Collective Entity Disambiguation Based on Deep Semantic Neighbors and Heterogeneous Entity Correlation. NLPCC (2) 2020: 193-205
2010 – 2019
- 2019
- [j10]Qi Li, Jiang Zhong, Qing Li, Chen Wang, Zehong Cao:
A Community Merger of Optimization Algorithm to Extract Overlapping Communities in Networks. IEEE Access 7: 3994-4005 (2019) - [j9]Qing Li, Jiang Zhong, Yongqin Tao, Lili Li, Xiaolong Miao:
Research of the processing technology for time complex event based on LSTM. Clust. Comput. 22(Supplement): 9571-9579 (2019) - [j8]Qi Li, Zehong Cao, Jiang Zhong, Qing Li:
Graph representation learning with encoding edges. Neurocomputing 361: 29-39 (2019) - [j7]Zhiguo Li, Jiang Zhong, Luman Zhong:
复杂事件管理的多元时序数据处理技术研究 (Study on Processing Technology for Complex Event Management Based on Multivariate Time Series Data). 计算机科学 46(6): 55-63 (2019) - [j6]Qi Li, JunQi Dong, Jiang Zhong, Qing Li, Chen Wang:
A neural model for type classification of entities for text. Knowl. Based Syst. 176: 122-132 (2019) - [j5]Jiang Zhong, Pan Zhang, Xue Li:
Adaptive recognition of different accents conversations based on convolutional neural network. Multim. Tools Appl. 78(21): 30749-30767 (2019) - [c27]Qing Li, L. Frank Huang, Jiang Zhong, Lili Li, Qi Li, Junhao Hu:
Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks. BIBM 2019: 668-673 - [c26]Xiaojun Zheng, Jiang Zhong, Yanbin Sun, Yanjun Shi, Zhizheng Xu, Hao Sun:
Design of Optimization Platform for Energy Absorption Structure of High Speed Train. CSCWD 2019: 279-283 - [c25]Qi Li, Jiang Zhong, Qing Li, Zehong Cao, Chen Wang:
Enhancing Network Embedding with Implicit Clustering. DASFAA (1) 2019: 452-467 - [c24]Cong Hu, Jiang Zhong, Qi Li, Qing Li:
DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information. ICA3PP (1) 2019: 242-255 - 2018
- [j4]Zhiguo Li, Jiang Zhong:
数据科学在国内管理学研究中的应用综述 (Application of Data Science in Management Science Study: State-of-the-art in Domestic). 计算机科学 45(9): 38-45 (2018) - [c23]Jiang Zhong, Chen Wang, Qi Li, Qing Li:
A New Graph-Partitioning Algorithm for Large-Scale Knowledge Graph. ADMA 2018: 434-444 - 2017
- [c22]Qian Zhou, Jiandong Jiang, Zhangfeng Zhao, Jiang Zhong, Bosong Pan, Xiao Jin, Yuanfang Sun:
Research on the Internet of Things Platform Design for Agricultural Machinery Operation and Operation Management. CCTA (2) 2017: 400-410 - [c21]Qi Li, Jiang Zhong, Linjiang Zheng, Xue Li:
Streaming Graph Partitioning for Large Graphs with Limited Memory. ISPA/IUCC 2017: 1269-1271 - [c20]Jiang Zhong, Pan Zhang, Xue Li:
A Combined Feature Approach for Speaker Segmentation Using Convolution Neural Network. PCM (2) 2017: 550-559 - 2016
- [c19]Jiang Zhong, You Xiong, Weili Guo, Jingyi Xie:
EDAHT: An Expertise Degree Analysis Model for Mass Comments in the E-Commerce System. ADMA 2016: 472-480 - [c18]Sanad Al-Maskari, Eve Bélisle, Xue Li, Sébastien Le Digabel, Amin Nawahda, Jiang Zhong:
Classification with Quantification for Air Quality Monitoring. PAKDD (1) 2016: 578-590 - 2014
- [c17]Jingyi Xie, Jiang Zhong, Pan Deng:
A Robust Trust Management Model for E-Commerce System. ICEBE 2014: 170-176 - [c16]Sayan Unankard, Xue Li, Mohamed A. Sharaf, Jiang Zhong, Xueming Li:
Predicting Elections from Social Networks Based on Sub-event Detection and Sentiment Analysis. WISE (2) 2014: 1-16 - 2011
- [c15]Jiang Zhong, Shitao Deng, Yifeng Cheng:
Web Recommendation Based on Back Propagation Neural Networks. ISNN (3) 2011: 397-406 - 2010
- [j3]Jiang Zhong, Xue Li:
Unified collaborative filtering model based on combination of latent features. Expert Syst. Appl. 37(8): 5666-5672 (2010) - [j2]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
An enhanced swarm intelligence clustering-based RBFNN classifier and its application in deep Web sources classification. Frontiers Comput. Sci. China 4(4): 560-570 (2010) - [c14]Jiang Zhong, Longhai Liu, Zhiguo Li:
A Novel Clustering Algorithm Based on Gravity and Cluster Merging. ADMA (1) 2010: 302-309 - [c13]Jiang Zhong, Xiongbing Deng, Jie Liu, Xue Li, Chuanwei Liang:
A Novel Chinese Text Feature Selection Method Based on Probability Latent Semantic Analysis. ISNN (2) 2010: 276-281 - [e2]Longbing Cao, Yong Feng, Jiang Zhong:
Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6440, Springer 2010, ISBN 978-3-642-17315-8 [contents] - [e1]Longbing Cao, Jiang Zhong, Yong Feng:
Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6441, Springer 2010, ISBN 978-3-642-17312-7 [contents]
2000 – 2009
- 2009
- [j1]Luosheng Wen, Xiaofan Yang, Jiang Zhong, Liang Han:
Canonical form of a nonlinear monetary system. Appl. Math. Comput. 214(1): 90-94 (2009) - [c12]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier. ISNN (2) 2009: 684-693 - 2008
- [c11]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier. ICIC (2) 2008: 526-533 - [c10]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
A Novel Authentication Mechanism Based on CGA for BU Message Disposal in Mobile IPv6. NAS 2008: 137-143 - [c9]Chunxiao Ye, Zhongfu Wu, Jiang Zhong, Yong Feng:
Revocation in an Attribute-Based Delegation Model. NAS 2008: 171-172 - [c8]Jiang Zhong, Luosheng Wen, Yong Feng, Chunxiao Ye:
Intrusion Detection Based on Density Level Sets Estimation. NAS 2008: 173-174 - 2007
- [c7]Jiang Zhong, Yong Feng, Chunxiao Ye, Ling Ou, Zhiguo Li:
Artificial Immune Networks Based Radial Basic Function Neural Networks Construction Algorithm and Application. ICNC (1) 2007: 104-107 - [c6]Yong Feng, Jiang Zhong, Zhongyang Xiong, Chunxiao Ye, Kaigui Wu:
Network Anomaly Detection Based on DSOM and ACO Clustering. ISNN (2) 2007: 947-955 - [c5]Zhiguo Li, Jiang Zhong, Yong Feng, Zhongfu Wu:
An Adaptive Classifier Based on Artificial Immune Network. LSMS (2) 2007: 422-428 - 2006
- [c4]Yong Feng, Jiang Zhong, Chunxiao Ye, Zhongfu Wu:
Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection. ISDA (2) 2006: 1077-1080 - [c3]Jiang Zhong, Zhiguo Li, Yong Feng, Chunxiao Ye:
Intrusion Detection Based on Adaptive RBF Neural Network. ISDA (2) 2006: 1081-1084 - [c2]Jiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu:
Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network. ISNN (1) 2006: 866-872 - 2005
- [c1]Jiang Zhong, Zhongfu Wu, Kaigui Wu, Ling Ou, Zheng-Zhou Zhu, Ying Zhou:
A Two-Phase Clustering Algorithm Based on Artificial Immune Network. ICNC (2) 2005: 814-821
Coauthor Index
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