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Jun 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 — 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
- [j96]Shaowei Wang, Lingling Zhang, Tao Qin, Jun Liu, Yifei Li, Qianying Wang, Qinghua Zheng:
Multi-view cognition with path search for one-shot part labeling. Comput. Vis. Image Underst. 244: 104015 (2024) - [j95]Jie Ma, Jun Liu, Qi Chai, Pinghui Wang, Jing Tao:
Diagram Perception Networks for Textbook Question Answering via Joint Optimization. Int. J. Comput. Vis. 132(5): 1578-1591 (2024) - [j94]Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria:
Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion 111: 102525 (2024) - [j93]Bin Shang, Yinliang Zhao, Jun Liu:
Knowledge graph representation learning with relation-guided aggregation and interaction. Inf. Process. Manag. 61(4): 103752 (2024) - [j92]Tianliang Qi, Yujie Li, Weihua Ji, Kuo-Ming Chao, Yan Chen, Haiping Zhu, Caixia Yan, Jun Liu, Mo Xu, Zhihai Suo, Qinghua Zheng, Feng Tian:
Multiple GRAphs-oriented Random wAlk (MulGRA2) for social link prediction. Inf. Sci. 669: 120563 (2024) - [j91]Bin Shang, Yinliang Zhao, Jun Liu:
Learnable convolutional attention network for knowledge graph completion. Knowl. Based Syst. 285: 111360 (2024) - [j90]Dailusi Ma, Haiping Zhu, Siji Liao, Yan Chen, Jun Liu, Feng Tian, Ping Chen:
Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. Knowl. Based Syst. 294: 111743 (2024) - [j89]Hongwei Zeng, Bifan Wei, Jun Liu:
RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation. Knowl. Based Syst. 300: 112120 (2024) - [j88]Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun:
A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. Neural Networks 179: 106558 (2024) - [j87]Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao:
Robust Visual Question Answering: Datasets, Methods, and Future Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5575-5594 (2024) - [j86]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) - [j85]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) - [j84]Jiaxin Wang, Lingling Zhang, Jun Liu, Kunming Ma, Wenjun Wu, Xiang Zhao, Yaqiang Wu, Yi Huang:
TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9147-9161 (2024) - [c74]Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu:
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. ACL (1) 2024: 13091-13116 - [c73]Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu:
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. ACL (1) 2024: 13413-13429 - [c72]Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu:
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. LREC/COLING 2024: 1577-1587 - [c71]Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng:
Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). ICDE 2024: 5717-5718 - [c70]Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin:
Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. INFOCOM 2024: 1321-1330 - [c69]Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu:
Untargeted Adversarial Attack on Knowledge Graph Embeddings. SIGIR 2024: 1701-1711 - [c68]Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong:
A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. WWW 2024: 2181-2192 - [i28]Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu:
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. CoRR abs/2403.09721 (2024) - [i27]Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du:
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. CoRR abs/2404.12020 (2024) - [i26]Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu:
Untargeted Adversarial Attack on Knowledge Graph Embeddings. CoRR abs/2405.10970 (2024) - [i25]Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu:
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. CoRR abs/2405.19109 (2024) - [i24]Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu:
QGEval: A Benchmark for Question Generation Evaluation. CoRR abs/2406.05707 (2024) - [i23]Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu:
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. CoRR abs/2406.11736 (2024) - 2023
- [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [c67]Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI 2023: 899-907 - [c66]Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria:
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) 2023: 1281-1293 - [c65]Hongwei Zeng, Bifan Wei, Jun Liu, Weiping Fu:
Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model. ACL (1) 2023: 8989-9010 - [c64]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 - [c63]Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan:
Towards Understanding the Instability of Network Embedding (Extended Abstract). ICDE 2023: 3825-3826 - [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 - [i22]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) - [i21]Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria:
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. CoRR abs/2306.09841 (2023) - [i20]Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao:
Robust Visual Question Answering: Datasets, Methods, and Future Challenges. CoRR abs/2307.11471 (2023) - [i19]Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu:
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. CoRR abs/2311.09278 (2023) - 2022
- [j65]Lingyun Song, Mengzhen Yu, Xuequn Shang, Yu Lu, Jun Liu, Ying Zhang, Zhanhuai Li:
A deep grouping fusion neural network for multimedia content understanding. IET Image Process. 16(9): 2398-2411 (2022) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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
- [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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
- [j51]Fan Wu, Qinhua Zheng, Feng Tian, Zhihai Suo, Yuan Zhou, Kuo-Ming Chao, Mo Xu, Nazaraf Shah, Jun Liu, Fei Li:
Supporting poverty-stricken college students in smart campus. Future Gener. Comput. Syst. 111: 599-616 (2020) - [j50]Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu:
An anomaly detection framework for time-evolving attributed networks. Neurocomputing 407: 39-49 (2020) - [j49]Zheng Yan, Jun Liu, Laurence T. Yang, Witold Pedrycz:
Data fusion in heterogeneous networks. Inf. Fusion 53: 1-3 (2020) - [j48]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) - [j47]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) - [j46]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) - [j45]Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng:
Diverse fuzzy c-means for image clustering. Pattern Recognit. Lett. 130: 275-283 (2020) - [j44]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) - [j43]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
- [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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,