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ORCIDJun Liu 0002
Person information
- affiliation: Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China
- affiliation: Xi'an Jiaotong University, School of Electronic and Information Engineering, SPKLSTN Lab, Xi'an, China
Other persons with the same name
- Jun Liu — disambiguation page
- Jun Liu 0001
![[0000-0001-8859-5405]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8859-5405")
— University of Ulster, Jordanstown, UK (and 3 more) - Jun Liu 0003 — Infinia ML Inc., Durham, NC, USA (and 4 more)
- Jun Liu 0004 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 3 more)
- Jun Liu 0005 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China (and 2 more)
- Jun Liu 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China (and 4 more)
- Jun Liu 0007 — City University of Hong Kong, Department of Mechanical Engineering, Hong Kong (and 1 more)
- Jun Liu 0008 — Pennsylvania State University, University Park, PA, USA
- Jun Liu 0009 — University of Alabama, Tuscaloosa, AL, USA (and 1 more)
- Jun Liu 0010 — Guangzhou University of Chinese Medicine, Guangzhou, China
- Jun Liu 0011 — Wuhan University of Science and Technology, Wuhan, China (and 1 more)
- Jun Liu 0012 — Northeast Normal University, School of Mathematics and Statistics, Changchun, China (and 1 more)
- Jun Liu 0013 — University of North Dakota, Grand Forks, ND, USA (and 1 more)
- Jun Liu 0014 — Beijing University of Posts and Telecommunications, Center for Data Science, Beijing, China
- Jun Liu 0015 — University of Waterloo, Canada (and 2 more)
- Jun Liu 0016 — Tsinghua University, Institute of Human Factos and Ergonomics, Beijing, China
- Jun Liu 0017 — Singapore Management University, Singapore (and 1 more)
- Jun Liu 0018 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Jun Liu 0019 — Quijing Normal University, College of Mathematics and Information Science, Quijing, China
- Jun Liu 0020 — Nanyang Technological University, Singapore
- Jun Liu 0021 — Guangxi University, Nanning, China
- Jun Liu 0022 — Iowa State University, Ames, IA, USA
- Jun Liu 0023 — University of Bremen, Germany
- Jun Liu 0024 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Jun Liu 0025 — Jackson State University, Jackson, MS, USA (and 1 more)
- Jun Liu 0026 — Hangzhou Dianzi University, College of Automation, Hangzhou, China (and 1 more)
- Jun Liu 0027 — Hangzhou Dianzi University, Key Laboratory of RF Circuits and Systems, Hangzhou, China (and 1 more)
- Jun Liu 0028 — Dakota State University, Madison, SD, USA
- Jun Liu 0029 — Beijing Normal University, School of Mathematical Sciences, MoE Laboratory of Mathematics and Complex Systems, China
- Jun Liu 0030 — Guangdong Polytechnic Normal University, School of Automation, Guangzhou, China (and 1 more)
- Jun Liu 0031 — Chinese Academy of Railway Sciences, Beijing, China (and 1 more)
- Jun Liu 0032 — Dakota State University, College of Business and Information Systems, Madison, SD, USA (and 2 more)
- Jun Liu 0033 — Northeastern University, Shenyang, China
- Jun Liu 0034 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Jun Liu 0035 — Tsinghua University, Beijing, China (and 1 more)
- Jun Liu 0036 — Singapore University of Technology and Design (and 2 more)
- Jun Liu 0037 — Columbia University, Department of Psychiatry, New York, NY, USA
- Jun Liu 0038 — Linear Technology, Milpitas, CA, USA (and 1 more)
- Jun Liu 0039 — Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China
- Jun Liu 0040 — Naval Aeronautical and Astronautical University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0041 — Southwest University, School of Engineering and Technology, Chongqing, China
- Jun Liu 0042 — Chongqing University, Key Laboratory of Optoelectronics Technology and Systems / College of Optoelectronic Engineering, China
- Jun Liu 0043 — Ohio State University, Department of Biomedical Engineering, Columbus, OH, USA
- Jun Liu 0044 — Chongqing University of Posts and Telecommunications, College of Software Engineering, China (and 1 more)
- Jun Liu 0045 — Technical University of Berlin, Germany
- Jun Liu 0046 — Chengdu University of Information Technology, School of Control Engineering, China (and 1 more)
- Jun Liu 0047 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Jun Liu 0048 — National University of Defense Technology, College of Meteorology and Oceanology, Changsha, China
- Jun Liu 0049 — Nanjing University of Information Science & Technology, School of Computer & Software / Jiangsu Engineering Center of Network Monitoring, China
- Jun Liu 0050 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0051 — Chongqing University of Posts and Telecommunications, Department of Optoelectronics Engineering, China
- Jun Liu 0052 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Liu 0053 — Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China (and 1 more)
- Jun Liu 0054 — University of Birmingham, School of Metallurgy and Materials, Birmingham, UK
- Jun Liu 0055 — Qingdao Agricultural University, Qingdao, China (and 1 more)
- Jun Liu 0056 — Beijing Foreign Studies University, International Business School, Beijing, China
- Jun Liu 0057 — Jiangxi University of Finance and Economics, School of Statistics, Nanchang, China
- Jun Liu 0058 — Xi'an University of Technology, College of Automation, Xi'an, China
- Jun Liu 0059 — Chinese Academy of Sciences, Computer Network and Information Center, Beijing, China
- Jun Liu 0060 — Virginia Tech, Blacksburg, VA, USA
- Jun Liu 0061 — Beijing Jiaotong University, School of Traffic and Transportation, Beijing, China
- Jun Liu 0062 — University of Copenhagen, Denmark
- Jun Liu 0063 — Peking University, School of Electronics Engineering and Computer Science, Center for Energy-Efficient Computing and Applications, Beijing, China
- Jun Liu 0064 — China University of Petroleum, College of Science, Qingdao, China (and 1 more)
- Jun Liu 0065 — Qujing Normal University, Institute of Applied Mathematics, China
- Jun Liu 0066 — Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- Jun Liu 0067 — Northeastern University, School of Sciences, Shenyang, China
- Jun Liu 0069 — Nanyang Technological University, Singapore
- Jun Liu 0070 — Hefei University of Technology, School of Computer and Information, China
- Jun Liu 0071 — University of Macau, Zhuhai, Macau
- Jun Liu 0072 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, LIESMARS, China
- Jun Liu 0073 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Hubei, China
- Jun Liu 0074 — University of New South Wales, Sydney, NSW, Australia
- Jun Liu 0075 — Central South University, Department of Radiology Quality Control Center, Second Xiangya Hospital, Changsha, China
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2020 – today
- 2024
[j82]Xinyu Zhang, Lingling Zhang, Xin Hu, Jun Liu, Shaowei Wang, Qianying Wang:
Alignment Relation is What You Need for Diagram Parsing. IEEE Trans. Image Process. 33: 2131-2144 (2024)- [j81]Jianming Zheng, Fei Cai, Jun Liu, Yanxiang Ling, Honghui Chen:
Multistructure Contrastive Learning for Pretraining Event Representation. IEEE Trans. Neural Networks Learn. Syst. 35(1): 842-854 (2024) - 2023
- [j80]Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen:
A Boundary Regression Model for Nested Named Entity Recognition. Cogn. Comput. 15(2): 534-551 (2023) - [j79]Lingyun Song, Mengting He, Xuequn Shang, Chen Yang, Jun Liu, Mengzhen Yu, Yu Lu:
A deep cross-modal neural cognitive diagnosis framework for modeling student performance. Expert Syst. Appl. 230: 120675 (2023) - [j78]Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria:
Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion 90: 253-264 (2023) - [j77]Yudai Pan, Jun Liu, Lingling Zhang, Yi Huang:
Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. Knowl. Based Syst. 277: 110787 (2023) - [j76]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - [j75]Lingyun Song, Jianao Li, Jun Liu, Yang Yang, Xuequn Shang, Mingxuan Sun:
Answering knowledge-based visual questions via the exploration of Question Purpose. Pattern Recognit. 133: 109015 (2023) - [j74]Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang:
MoCA: Incorporating domain pretraining and cross attention for textbook question answering. Pattern Recognit. 140: 109588 (2023) - [j73]Yaqiang Wu, Yifei Li, Tianzhe Zhao, Lingling Zhang, Bifan Wei, Jun Liu, Qinghua Zheng:
Improved prototypical network for active few-shot learning. Pattern Recognit. Lett. 172: 188-194 (2023) - [j72]Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu:
Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3214-3228 (2023) - [j71]Lingling Zhang, Xinyu Zhang, Qianying Wang, Wenjun Wu, Xiaojun Chang, Jun Liu:
RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6609-6621 (2023) - [j70]Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Jiaxin Wang, Qianying Wang:
DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering. IEEE Trans. Image Process. 32: 4812-4827 (2023) - [j69]Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng:
Contrastive Graph Representations for Logical Formulas Embedding. IEEE Trans. Knowl. Data Eng. 35(4): 3563-3574 (2023) - [j68]Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng:
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6085-6098 (2023) - [j67]Jie Ma, Jun Liu, Yaxian Wang, Junjun Li, Tongliang Liu:
Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(1): 15-27 (2023) - [j66]Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You:
Multitask Learning for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1380-1394 (2023) - [j65]Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke:
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3636-3649 (2023) - [j64]Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang:
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5654-5668 (2023) - [j63]Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke:
Generating Relevant and Informative Questions for Open-Domain Conversations. ACM Trans. Inf. Syst. 41(1): 2:1-2:30 (2023) - [c64]Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI 2023: 899-907 - [c63]Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang:
GBTTE: Graph Attention Network Based Bus Travel Time Estimation. CIKM 2023: 4794-4800 - [c62]Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang:
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. IJCAI 2023: 837-845 - [c61]Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong:
B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. KDD 2023: 1489-1500 - [c60]Bin Shang, Yinliang Zhao, Di Wang, Jun Liu:
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. SIGIR 2023: 878-888 - [i19]Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang:
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text. CoRR abs/2301.02983 (2023) - 2022
- [j62]Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng:
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1213-1223 (2022) - [j61]Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng:
Weakly Supervised Learning for Textbook Question Answering. IEEE Trans. Image Process. 31: 7378-7388 (2022) - [j60]Yuecheng Rong, Zhimian Xu, Jun Liu, Hao Liu, Jian Ding, Xuanyu Liu, Wei Luo, Chuanming Zhang, Jiaxiang Gao:
Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data. IEEE Trans. Intell. Transp. Syst. 23(12): 24524-24539 (2022) - [j59]Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Tao Qin, Jun Liu:
Computer Science Diagram Understanding with Topology Parsing. ACM Trans. Knowl. Discov. Data 16(6): 114:1-114:20 (2022) - [j58]Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan:
Towards Understanding the Instability of Network Embedding. IEEE Trans. Knowl. Data Eng. 34(2): 927-941 (2022) - [c59]Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu:
Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. APWeb/WAIM (2) 2022: 271-285 - [c58]Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang:
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. EMNLP 2022: 4261-4274 - [c57]Jiaxin Wang, Lingling Zhang, Jun Liu, Xi Liang, Yujie Zhong, Yaqiang Wu:
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. EMNLP 2022: 7875-7888 - [c56]Yuecheng Rong, Jun Liu, Zhilin Xu, Jian Ding, Chuangming Zhang, Jiaxiang Gao:
BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-task Learning. ECML/PKDD (6) 2022: 554-570 - [c55]Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao:
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR 2022: 893-903 - [c54]Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. SIGIR 2022: 1055-1065 - [i18]Fangzhi Xu, Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. CoRR abs/2205.00731 (2022) - [i17]Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. CoRR abs/2212.14232 (2022) - 2021
- [j57]Qinghua Zheng, Jun Liu, Hongwei Zeng, Zhaotong Guo, Bei Wu, Bifan Wei:
Knowledge forest: a novel model to organize knowledge fragments. Sci. China Inf. Sci. 64(7) (2021) - [j56]Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang:
Weakly Supervised Group Mask Network for Object Detection. Int. J. Comput. Vis. 129(3): 681-702 (2021) - [j55]Hongwei Zeng, Jun Liu, Meng Wang, Bifan Wei:
A sequence to sequence model for dialogue generation with gated mixture of topics. Neurocomputing 437: 282-288 (2021) - [j54]Yanxiang Ling, Fei Cai, Xuejun Hu, Jun Liu, Wanyu Chen, Honghui Chen:
Context-Controlled Topic-Aware Neural Response Generation for Open-Domain Dialog Systems. Inf. Process. Manag. 58(1): 102392 (2021) - [j53]Hongwei Zeng, Zhuo Zhi, Jun Liu, Bifan Wei:
Improving paragraph-level question generation with extended answer network and uncertainty-aware beam search. Inf. Sci. 571: 50-64 (2021) - [j52]Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma:
Rule-enhanced iterative complementation for knowledge graph reasoning. Inf. Sci. 575: 66-79 (2021) - [j51]Xin Hu, Lingling Zhang, Jun Liu, Qinghua Zheng, Jianlong Zhou:
Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. IEEE Trans. Image Process. 30: 8102-8115 (2021) - [j50]Bei Wu, Bifan Wei, Jun Liu, Kewei Wu, Meng Wang:
Faceted Text Segmentation via Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3846-3857 (2021) - [c53]Shaowei Wang, Lingling Zhang, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu:
CSDQA: Diagram Question Answering in Computer Science. CCKS 2021: 274-280 - [c52]Hongxuan Li, Bifan Wei, Jun Liu, Zhaotong Guo, Jingchao Qi, Bei Wu, Yong Liu, Yuanyuan Shi:
ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters. ICBK 2021: 402-409 - [c51]Hongwei Zeng, Zhenjie Hong, Jun Liu, Bifan Wei:
Multi-task Learning for Multi-turn Dialogue Generation with Topic Drift Modeling. ICBK 2021: 410-417 - [c50]Wenjun Wu, Lingling Zhang, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu:
Fuzzy c-Means Clustering with Discriminative Projection. ICBK 2021: 418-425 - [c49]Yanzhang Lyu, Hongzhi Yin, Jun Liu, Mengyue Liu, Huan Liu, Shizhuo Deng:
Reliable Recommendation with Review-level Explanations. ICDE 2021: 1548-1558 - [i16]Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu:
RL-CSDia: Representation Learning of Computer Science Diagrams. CoRR abs/2103.05900 (2021) - [i15]Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin:
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. CoRR abs/2110.08810 (2021) - [i14]Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan:
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. CoRR abs/2112.02839 (2021) - 2020
- [j49]Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu:
An anomaly detection framework for time-evolving attributed networks. Neurocomputing 407: 39-49 (2020) - [j48]Zheng Yan, Jun Liu, Laurence T. Yang, Witold Pedrycz:
Data fusion in heterogeneous networks. Inf. Fusion 53: 1-3 (2020) - [j47]Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured query construction via knowledge graph embedding. Knowl. Inf. Syst. 62(5): 1819-1846 (2020) - [j46]Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang:
Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. Neural Comput. 32(9): 1664-1684 (2020) - [j45]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann:
Few-shot activity recognition with cross-modal memory network. Pattern Recognit. 108: 107348 (2020) - [j44]Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng:
Diverse fuzzy c-means for image clustering. Pattern Recognit. Lett. 130: 275-283 (2020) - [j43]Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann:
Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. 22(3): 775-785 (2020) - [j42]Ming Fan, Xiapu Luo, Jun Liu, Chunyin Nong, Qinghua Zheng, Ting Liu:
CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis. IEEE Trans. Reliab. 69(1): 124-138 (2020) - [c48]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c47]Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, Ting Liu:
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. ISSRE 2020: 253-264 - [c46]Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin:
Jointly Optimized Neural Coreference Resolution with Mutual Attention. WSDM 2020: 402-410 - [i13]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i12]Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, Ting Liu:
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. CoRR abs/2008.05864 (2020) - [i11]Jie Ma, Jun Liu, Junjun Li, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang:
XTQA: Span-Level Explanations of the Textbook Question Answering. CoRR abs/2011.12662 (2020)
2010 – 2019
- 2019
- [j41]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Analysis model for server consolidation of virtualized heterogeneous data centers providing internet services. Clust. Comput. 22(3): 911-928 (2019) - [j40]Mengyue Liu, Jun Liu, Yihe Chen, Meng Wang, Hao Chen, Qinghua Zheng:
AHNG: Representation learning on attributed heterogeneous network. Inf. Fusion 50: 221-230 (2019) - [j39]Meng Wang, Jun Liu, Bifan Wei, Siyu Yao, Hongwei Zeng, Lei Shi:
Answering why-not questions on SPARQL queries. Knowl. Inf. Syst. 58(1): 169-208 (2019) - [j38]Wenqiang Liu, Jun Liu, Bifan Wei, Haimeng Duan, Wei Hu:
A new truth discovery method for resolving object conflicts over Linked Data with scale-free property. Knowl. Inf. Syst. 59(2): 465-495 (2019) - [j37]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann:
Scheduled sampling for one-shot learning via matching network. Pattern Recognit. 96 (2019) - [j36]Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng:
Large-Scale Robust Semisupervised Classification. IEEE Trans. Cybern. 49(3): 907-917 (2019) - [c45]Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen:
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. AAAI 2019: 8885-8892 - [c44]Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu:
Anomaly Detection in Time-Evolving Attributed Networks. DASFAA (3) 2019: 235-239 - [c43]Zhaotong Guo, Bifan Wei, Jun Liu, Bei Wu:
TF-Miner: Topic-Specific Facet Mining by Label Propagation. DASFAA (3) 2019: 457-460 - [c42]Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker:
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA (1) 2019: 659-675 - [c41]Ming Fan, Xiapu Luo, Jun Liu, Meng Wang, Chunyin Nong, Qinghua Zheng, Ting Liu:
Graph embedding based familial analysis of Android malware using unsupervised learning. ICSE 2019: 771-782 - [i10]Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured Query Construction via Knowledge Graph Embedding. CoRR abs/1909.02930 (2019) - [i9]Hongwei Zeng, Zhuo Zhi, Jun Liu, Bifan Wei:
Extended Answer and Uncertainty Aware Neural Question Generation. CoRR abs/1911.08112 (2019) - [i8]Siyu Yao, Ruijie Wang, Shen Sun, Derui Bu, Jun Liu:
Joint Embedding Learning of Educational Knowledge Graphs. CoRR abs/1911.08776 (2019) - [i7]Qinghua Zheng, Jun Liu, Hongwei Zeng, Zhaotong Guo, Bei Wu, Bifan Wei:
Knowledge forest: a novel model to organize knowledge fragments. CoRR abs/1912.06825 (2019) - 2018
- [j35]Wenqiang Liu, Jun Liu, Mengmeng Wu, Samar Abbas, Wei Hu, Bifan Wei, Qinghua Zheng:
Representation learning over multiple knowledge graphs for knowledge graphs alignment. Neurocomputing 320: 12-24 (2018) - [j34]Zheng Yan, Jun Liu, Laurence T. Yang, Nitesh V. Chawla:
Big data fusion in Internet of Things. Inf. Fusion 40: 32-33 (2018) - [j33]Hao Chen, Jun Liu, Yanzhang Lv, Max Haifei Li, Mengyue Liu, Qinghua Zheng:
Semi-supervised clue fusion for spammer detection in Sina Weibo. Inf. Fusion 44: 22-32 (2018) - [j32]Jun Guo, Jun Liu:
Deterministic construction of compressed sensing matrices based on semilattices. J. Comb. Optim. 35(1): 148-161 (2018) - [j31]Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic:
Answering why-not questions on semantic multimedia queries. Multim. Tools Appl. 77(3): 3405-3429 (2018) - [j30]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng:
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. Neural Comput. 30(5) (2018) - [j29]Bei Wu, Bifan Wei, Jun Liu, Zhaotong Guo, Yuanhao Zheng, Yihe Chen:
Facet Annotation by Extending CNN with a Matching Strategy. Neural Comput. 30(6) (2018) - [j28]Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Zhenzhou Tian, Qinghua Zheng, Ting Liu:
Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis. IEEE Trans. Inf. Forensics Secur. 13(8): 1890-1905 (2018) - [j27]Lingyun Song, Jun Liu, Buyue Qian, Mingxuan Sun, Kuan Yang, Meng Sun, Samar Abbas:
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. IEEE Trans. Image Process. 27(12): 6025-6038 (2018) - [c40]Ruoqing Ren, Haimeng Duan, Wenqiang Liu, Jun Liu:
AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems. APWeb/WAIM Workshops 2018: 281-292 - [c39]Ruijie Wang, Meng Wang, Jun Liu, Siyu Yao, Qinghua Zheng:
Graph Embedding Based Query Construction Over Knowledge Graphs. ICBK 2018: 1-8 - [c38]Tong Yu, Meng Wang, Yanzhang Lv, Luguo Xue, Jun Liu:
Interpretative Topic Categorization Via Deep Multiple Instance Learning. IJCNN 2018: 1-7 - [c37]Meng Wang, Ruijie Wang, Jun Liu, Yihe Chen, Lei Zhang, Guilin Qi:
Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. ISWC (1) 2018: 513-529 - 2017
- [j26]Yanzhang Lv, Jun Liu, Hao Chen, Jianhong Mi, Mengyue Liu, Qinghua Zheng:
Opinioned Post Detection in Sina Weibo. IEEE Access 5: 7263-7271 (2017) - [j25]Xindong Wu, Huanhuan Chen, Jun Liu, Gong-Qing Wu, Ruqian Lu, Nanning Zheng:
Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project. IEEE Access 5: 12696-12701 (2017) - [j24]Lei Ding, Jun Liu, Tao Qin, Haifei Li:
Internet traffic classification based on expanding vector of flow. Comput. Networks 129: 178-192 (2017) - [j23]Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng:
Distributed extreme learning machine with alternating direction method of multiplier. Neurocomputing 261: 164-170 (2017) - [j22]Zheng Yan, Jun Liu, Laurence T. Yang:
Special issue on pervasive social networking. J. Netw. Comput. Appl. 86: 1-2 (2017) - [j21]Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang:
Sparse Relational Topical Coding on multi-modal data. Pattern Recognit. 72: 368-380 (2017) - [j20]Jun Liu, Zheng Yan, Athanasios V. Vasilakos, Laurence T. Yang:
Guest Editorial Data Mining in Cyber, Physical, and Social Computing. IEEE Syst. J. 11(1): 194-196 (2017) - [j19]Ming Fan, Jun Liu, Wei Wang, Haifei Li, Zhenzhou Tian, Ting Liu:
DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis. IEEE Trans. Inf. Forensics Secur. 12(8): 1772-1785 (2017) - [c36]Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, Yihe Chen:
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. ADMA 2017: 655-667 - [c35]Haimeng Duan, Yuanhao Zheng, Lei Shi, Changhong Jin, Hongwei Zeng, Jun Liu:
DKG: An Expanded Knowledge Base for Online Course. DASFAA Workshops 2017: 376-386 - [c34]Wenqiang Liu, Jun Liu, Haimeng Duan, Wei Hu, Bifan Wei:
Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data. ESWC (1) 2017: 53-67 - [c33]Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu:
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. ISWC (2) 2017: 219-227 - [c32]Wenqiang Liu, Jun Liu, Haimeng Duan, Jian Zhang, Wei Hu, Bifan Wei:
TruthDiscover: Resolving Object Conflicts on Massive Linked Data. WWW (Companion Volume) 2017: 243-246 - [i6]Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu:
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. CoRR abs/1707.05340 (2017) - [i5]Meng Wang, Mengyue Liu, Jun Liu, Sen Wang, Guodong Long, Buyue Qian:
Safe Medicine Recommendation via Medical Knowledge Graph Embedding. CoRR abs/1710.05980 (2017) - 2016
- [j18]Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng:
Sparse Multi-Modal Topical Coding for Image Annotation. Neurocomputing 214: 162-174 (2016) - [j17]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Managing Deadline-constrained Bag-of-Tasks Jobs on Hybrid Clouds with Closest Deadline First Scheduling. KSII Trans. Internet Inf. Syst. 10(7): 2952-2971 (2016) - [j16]Zheng Yan, Jun Liu, Robert H. Deng, Francisco Herrera:
Editorial: Trust Management for Multimedia Big Data. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 57:1-57:2 (2016) - [c31]Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Tianyi Chen, Zhenzhou Tian, Xiaodong Zhang, Qinghua Zheng, Ting Liu:
Frequent Subgraph Based Familial Classification of Android Malware. ISSRE 2016: 24-35 - [c30]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Managing deadline-constrained bag-of-tasks jobs on hybrid clouds. SpringSim (HPS) 2016: 22 - [c29]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Server consolidation for internet applications in virtualized data centers. SpringSim (HPS) 2016: 24 - [c28]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Improvements to Online Distributed Monitoring Systems. Trustcom/BigDataSE/ISPA 2016: 1093-1100 - [i4]Wenqiang Liu, Jun Liu, Jian Zhang, Haimeng Duan, Bifan Wei:
TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data. CoRR abs/1603.02056 (2016) - [i3]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Server Consolidation for Internet Applications in Virtualized Data Centers. CoRR abs/1604.08330 (2016) - [i2]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
Managing Deadline-constrained Bag-of-Tasks Jobs on Hybrid Clouds. CoRR abs/1604.08335 (2016) - [i1]Wenqiang Liu, Jun Liu, Haimeng Duan, Xie He, Bifan Wei:
Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data. CoRR abs/1604.08407 (2016) - 2015
- [j15]Weizhan Zhang, Jun Liu, Chen Liu, Qinghua Zheng, Wei Zhang:
Workload modeling for virtual machine-hosted application. Expert Syst. Appl. 42(4): 1835-1844 (2015) - [j14]Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang:
Knowledge Engineering with Big Data. IEEE Intell. Syst. 30(5): 46-55 (2015) - [j13]Zheng Yan, Jun Liu, Athanasios V. Vasilakos, Laurence T. Yang:
Trustworthy data fusion and mining in Internet of Things. Future Gener. Comput. Syst. 49: 45-46 (2015) - [j12]Jun Liu, Zheng Yan, Laurence T. Yang:
Fusion - An aide to data mining in Internet of Things. Inf. Fusion 23: 1-2 (2015) - [j11]Wen-qian Liu, Jun Liu, Meng Wang, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao:
Faceted fusion of RDF data. Inf. Fusion 23: 16-24 (2015) - [j10]Ya-nan Qian, Qinghua Zheng, Tetsuya Sakai, Junting Ye, Jun Liu:
Dynamic author name disambiguation for growing digital libraries. Inf. Retr. J. 18(5): 379-412 (2015) - [j9]Bifan Wei, Jun Liu, Qinghua Zheng, Wei Zhang, Chenchen Wang, Bei Wu:
DF-Miner: Domain-specific facet mining by leveraging the hyperlink structure of Wikipedia. Knowl. Based Syst. 77: 80-91 (2015) - [j8]Feng Zhao, Jun Liu, Jingyu Zhou, Hai Jin, Laurence T. Yang:
LS-AMS: An Adaptive Indexing Structure for Realtime Search on Microblogs. IEEE Trans. Big Data 1(4): 125-137 (2015) - [c27]Siyu Yao, Jun Liu, Meng Wang, Bifan Wei, Xuelu Chen:
ANNA: Answering Why-Not Questions for SPARQL. ISWC (Posters & Demos) 2015 - [c26]Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong:
Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. TrustCom/BigDataSE/ISPA (2) 2015: 136-142 - [d1]Hao Chen, Mengting Zhan, Jianhong Mi, Yanzhang Lv, Jun Liu:
microblogPCU. UCI Machine Learning Repository, 2015
- 2014
- [j7]Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng:
Motif-Based Hyponym Relation Extraction from Wikipedia Hyperlinks. IEEE Trans. Knowl. Data Eng. 26(10): 2507-2519 (2014) - [c25]Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao:
Faceted Exploring for Domain Knowledge over Linked Open Data. CIKM 2014: 2009-2011 - [c24]Bo Wang, Ying Song, Yuzhong Sun, Jun Liu:
MiCA: Real-Time Mixed Compression Scheme for Large-Scale Distributed Monitoring. ICPP 2014: 441-450 - 2013
- [j6]Qinghua Zheng, Zhaohui Wu, Xiaocheng Cheng, Lu Jiang, Jun Liu:
Learning to crawl deep web. Inf. Syst. 38(6): 801-819 (2013) - [j5]Bifan Wei, Jun Liu, Qinghua Zheng, Wei Zhang, Xiaoyu Fu, Boqin Feng:
A Survey of Faceted Search. J. Web Eng. 12(1&2): 41-64 (2013) - [c23]Hongying Bao, Haiping Zhu, Jun Liu, Feng Tian, Yan Chen:
Analysis on Topic Map Oriented E-Learner Behavior and Study Efficiency. HPCC/EUC 2013: 2379-2384 - [c22]Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng:
DFT-extractor: a system to extract domain-specific faceted taxonomies from wikipedia. WWW (Companion Volume) 2013: 277-280 - 2012
- [j4]Jun Liu, Sha Sha, Qinghua Zheng, Wei Zhang:
Ranking the Difficulty Level of the Knowledge Units Based on Learning Dependency. Int. J. Distance Educ. Technol. 10(1): 31-43 (2012) - [j3]Jun Liu, Jincheng Wang, Qinghua Zheng, Wei Zhang, Lu Jiang:
Topological analysis of knowledge maps. Knowl. Based Syst. 36: 260-267 (2012) - [c21]Zhenhua Tian, Zhen Wang, Ziqi Liu, Hengheng Xiang, Jun Liu, Qinghua Zheng:
Learning to identify core term of knowledge unit from short text. FSKD 2012: 1303-1308 - [c20]Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng:
MOTIF-RE: Motif-Based Hypernym/Hyponym Relation Extraction from Wikipedia Links. ICONIP (5) 2012: 610-619 - 2011
- [j2]Jun Liu, Lu Jiang, Zhaohui Wu, Qinghua Zheng:
Deep Web adaptive crawling based on minimum executable pattern. J. Intell. Inf. Syst. 36(2): 197-215 (2011) - [j1]Jun Liu, Lu Jiang, Zhaohui Wu, Qinghua Zheng, Ya-nan Qian:
Mining learning-dependency between knowledge units from text. VLDB J. 20(3): 335-345 (2011) - [c19]Qinghua Zheng, Junying Luo, Jun Liu:
Automatic term extraction from Chinese scientific texts. CSCWD 2011: 727-734 - 2010
- [c18]Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu:
Abstracting Markov Networks. Abstraction, Reformulation, and Approximation 2010 - [c17]Qinghua Zheng, Xin Wang, Wanyu Deng, Jun Liu, Xiyuan Wu:
Incremental Projection Vector Machine: A One-Stage Learning Algorithm for High-Dimension Large-Sample Dataset. Australasian Conference on Artificial Intelligence 2010: 132-141 - [c16]Qinjiao Mao, Boqin Feng, Shanliang Pan, Qinghua Zheng, Jun Liu:
New collaborative recommendation approach based on concept lattice. FSKD 2010: 1803-1807 - [c15]Qinghua Zheng, Ya-nan Qian, Jun Liu:
Yotta: A Knowledge Map Centric E-Learning System. ICEBE 2010: 42-49 - [c14]Jun Liu, Sha Sha, Qinghua Zheng, Ling Chen:
Ranking Difficulty of Knowledge Units Based on Learning Dependency. ICEBE 2010: 77-82 - [c13]Lu Jiang, Zhaohui Wu, Qian Feng, Jun Liu, Qinghua Zheng:
Efficient Deep Web Crawling Using Reinforcement Learning. PAKDD (1) 2010: 428-439 - [c12]Jun Liu, Lu Jiang, Zhaohui Wu, Qinghua Zheng, Ya-nan Qian:
Mining preorder relation between knowledge units from text. SAC 2010: 1047-1053
2000 – 2009
- 2009
- [c11]Qinghua Zheng, Zhaohui Wu, Lu Jiang, Jun Liu:
A collaborative knowledge construction system design for massive knowledge resources. CSCWD 2009: 137-142 - [c10]Lu Jiang, Jun Liu, Zhaohui Wu, Qinghua Zheng, Ya-nan Qian:
ETM Toolkit: A development tool based on Extended Topic Map. CSCWD 2009: 528-533 - [c9]Wei Wang, Qinghua Zheng, Jun Liu, Yingying Chen, Pengfei Tang:
Exploiting various information for knowledge element relation recognition. GrC 2009: 565-571 - [c8]Heli Sun, Jianbin Huang, Boqin Feng, Tao Li, Yingliang Zhao, Jun Liu:
OrdRank: Learning to Rank with Ordered Multiple Hyperplanes. Web Intelligence 2009: 560-563 - [c7]Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu:
Learning Deep Web Crawling with Diverse Features. Web Intelligence 2009: 572-575 - [c6]Jun Liu, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Xiao Liu:
Crawling Deep Web Content through Query Forms. WEBIST 2009: 634-642 - 2008
- [c5]Ting Peng, Qinghua Zheng, Jun Liu, Shan Jiang, Yang Wu:
Multi-Object Multimedia Presentation Synchronization Strategy. CCNC 2008: 653-654 - [c4]Huimin Lu, Boqin Feng, Yingliang Zhao, Qinghua Zheng, Jun Liu:
Distributed Knowledge Management Based on Extended Topic Maps. CSSE (1) 2008: 649-652 - [c3]Huimin Lu, Boqin Feng, Yingliang Zhao, Qinghua Zheng, Jun Liu:
A New Model for Distributed Knowledge Organization Management. GCC 2008: 261-265 - 2006
- [c2]Jun Liu, Qinghua Zheng, Franky Chan:
A Method for User Behavior Modeling Based on Web Page Metadata. CSCWD 2006: 770-775 - 2002
- [c1]Qinghua Zheng, Yongling Song, Jun Liu, Dehong Yu:
A Resource Reservation and Scheduling Algorithm for Learning On-Demand System over Satellite and Cable Network. ISMSE 2002: 166-173
Coauthor Index
[j80] [j73] [j68] [c61] [j62] [j61] [j57] [j51] [j44] [j42] [i11] [j40] [j37] [j36] [c41] [i7] [j35] [j33] [j30] [j28] [c39] [j26] [j23] [j18] [c31] [j15] [j14] [j11] [j10] [j9] [c26] [j7] [c25] [j6] [j5] [c22] [j4] [j3] [c21] [c20] [j2] [j1] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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