Jiang Zhong

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 71

Top Topics

Graph Partitioning

Relation Extraction

Adaptive Thresholding

Top Venues

Publications

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 (2024)
Qin Lei, Jiang Zhong, Qizhu Dai
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. CoRR (2024)
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 (2024)
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 (2024)
Rongzhen Li, Jiang Zhong, Zhongxuan Xue, Qizhu Dai, Xue Li
Self-supervised commonsense knowledge learning for document-level relation extraction. Expert Syst. Appl. 250 (2024)
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)
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)
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 (2024)
Hong Yin, Jiang Zhong, Rongzhen Li, Xue Li
Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion. Knowl. Based Syst. 295 (2024)
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) (2024)
Qin Lei, Jiang Zhong, Chen Wang
Joint Optimization of Crack Segmentation With an Adaptive Dynamic Threshold Module. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
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)
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) (2023)
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)
Qin Lei, Jiang Zhong, Chen Wang, Yang Xia, Yangmei Zhou
Dynamic Thresholding for Accurate Crack Segmentation Using Multi-objective Optimization. ECML/PKDD (1) (2023)
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)
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 (2023)
Hong Yin, Jiang Zhong, Qizhu Dai
Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. ECAI (2023)
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) (2023)
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)
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) (2023)
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)
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)
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)
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)
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 (2023)
YuXuan Liu, Jiang Zhong
Implicit Sentiment Extraction Using Structure Generation with Sentiment Instructor Prompt Template. ADMA (4) (2023)
Rongzhen Li, Jiang Zhong, Zhongxuan Xue, Qizhu Dai, Chen Wang, Xue Li
Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning. ICASSP (2023)
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) (2023)
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)
Ai Chen, Jiang Zhong, Qizhu Dai, Chen Wang, Rongzhen Li
Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation. ADMA (4) (2023)
Shashank Hebbar, Ying Xie, Jiang Zhong
TreeBERT: Advanced Representation Learning for Relation Extraction. BigData (2023)
Xiaojun Zheng, Qixian Wu, Jiang Zhong
Research on Vehicle Loading Path Optimization based on Hard Time Window Constraint. CSCWD (2022)
Zhongxuan Xue, Jiang Zhong, Qizhu Dai, Rongzhen Li
CorefDRE: Coref-Aware Document-Level Relation Extraction. KSEM (3) (2022)
Qiuyu Tao, Jiang Zhong, Rongzhen Li
AESPrompt: Self-supervised Constraints for Automated Essay Scoring with Prompt Tuning. SEKE (2022)
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) (2022)
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)
Yupin Yang, Jiang Zhong, Chen Wang, Qing Li
Exploring Relevance and Coherence for Automated Text Scoring using Multi-task Learning. SEKE (2022)
Ganghong Huang, Jiang Zhong, Chen Wang, Qizhu Dai, Rongzhen Li
Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition. KSEM (3) (2022)
Xinyi Lai, Yufeng Lyu, Jiang Zhong, Chen Wang, Qizhu Dai, Gang Li
ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning. PRICAI (2) (2022)
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) (2022)
Yufeng Lyu, Jiang Zhong
DSMER: A Deep Semantic Matching Based Framework for Named Entity Recognition. ECIR (1) (2021)
Xiuyue Zeng, Jiang Zhong, Chen Wang, Cong Hu
Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategy. KSEM (2021)
Yupin Yang, Jiang Zhong
Automated Essay Scoring via Example-Based Learning. ICWE (2021)
Chen Wang, Jiang Zhong
GCE: Global Contextual Information for Knowledge Graph Embedding. ECIR (1) (2021)
Shiduo Ning, Jiang Zhong, Xiaojun Zheng
Design of Virtual Intelligent Parking Lot System Based on Signal Request Mechanism. CSCWD (2021)
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 (2021)
Ning Chang, Jiang Zhong, Qing Li, Jiang Zhu
A Mixed Semantic Features Model for Chinese NER with Characters and Words. ECIR (1) (2020)
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 (2020)
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)
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 (2020)
Zihan He, Jiang Zhong, Chen Wang, Cong Hu
Collective Entity Disambiguation Based on Deep Semantic Neighbors and Heterogeneous Entity Correlation. NLPCC (2) (2020)
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) (2020)
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) (2020)
Cong Hu, Jiang Zhong, Qi Li, Qing Li
DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information. ICA3PP (1) (2019)
Qi Li, Zehong Cao, Jiang Zhong, Qing Li
Graph representation learning with encoding edges. Neurocomputing 361 (2019)
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)
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 (2019)
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) (2019)
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) (2019)
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)
Jiang Zhong, Pan Zhang, Xue Li
Adaptive recognition of different accents conversations based on convolutional neural network. Multim. Tools Appl. 78 (21) (2019)
Qi Li, Jiang Zhong, Qing Li, Zehong Cao, Chen Wang
Enhancing Network Embedding with Implicit Clustering. DASFAA (1) (2019)
Qi Li, JunQi Dong, Jiang Zhong, Qing Li, Chen Wang
A neural model for type classification of entities for text. Knowl. Based Syst. 176 (2019)
Jiang Zhong, Chen Wang, Qi Li, Qing Li
A New Graph-Partitioning Algorithm for Large-Scale Knowledge Graph. ADMA (2018)
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) (2018)
Qi Li, Jiang Zhong, Linjiang Zheng, Xue Li
Streaming Graph Partitioning for Large Graphs with Limited Memory. ISPA/IUCC (2017)
Jiang Zhong, Pan Zhang, Xue Li
A Combined Feature Approach for Speaker Segmentation Using Convolution Neural Network. PCM (2) (2017)
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)
Jiang Zhong, You Xiong, Weili Guo, Jingyi Xie
EDAHT: An Expertise Degree Analysis Model for Mass Comments in the E-Commerce System. ADMA (2016)
Sanad Al-Maskari, Eve Bélisle, Xue Li, Sébastien Le Digabel, Amin Nawahda, Jiang Zhong
Classification with Quantification for Air Quality Monitoring. PAKDD (1) (2016)
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)
Jingyi Xie, Jiang Zhong, Pan Deng
A Robust Trust Management Model for E-Commerce System. ICEBE (2014)
Jiang Zhong, Shitao Deng, Yifeng Cheng
Web Recommendation Based on Back Propagation Neural Networks. ISNN (3) (2011)
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)
Jiang Zhong, Xue Li
Unified collaborative filtering model based on combination of latent features. Expert Syst. Appl. 37 (8) (2010)
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) (2010)
Jiang Zhong, Longhai Liu, Zhiguo Li
A Novel Clustering Algorithm Based on Gravity and Cluster Merging. ADMA (1) (2010)
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)
Luosheng Wen, Xiaofan Yang, Jiang Zhong, Liang Han
Canonical form of a nonlinear monetary system. Appl. Math. Comput. 214 (1) (2009)
Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier. ICIC (2) (2008)
Chunxiao Ye, Zhongfu Wu, Jiang Zhong, Yong Feng
Revocation in an Attribute-Based Delegation Model. NAS (2008)
Jiang Zhong, Luosheng Wen, Yong Feng, Chunxiao Ye
Intrusion Detection Based on Density Level Sets Estimation. NAS (2008)
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)
Yong Feng, Jiang Zhong, Zhongyang Xiong, Chunxiao Ye, Kaigui Wu
Network Anomaly Detection Based on DSOM and ACO Clustering. ISNN (2) (2007)
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)
Zhiguo Li, Jiang Zhong, Yong Feng, Zhongfu Wu
An Adaptive Classifier Based on Artificial Immune Network. LSMS (2) (2007)
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)
Jiang Zhong, Zhiguo Li, Yong Feng, Chunxiao Ye
Intrusion Detection Based on Adaptive RBF Neural Network. ISDA (2) (2006)
Yong Feng, Jiang Zhong, Chunxiao Ye, Zhongfu Wu
Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection. ISDA (2) (2006)
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)