Jun Liu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 130

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

Inf. Fusion

Neurocomputing

Publications

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) (2024)
Bin Shang, Yinliang Zhao, Jun Liu
Learnable convolutional attention network for knowledge graph completion. Knowl. Based Syst. 285 (2024)
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 (2024)
Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu
QGEval: A Benchmark for Question Generation Evaluation. CoRR (2024)
Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
Untargeted Adversarial Attack on Knowledge Graph Embeddings. CoRR (2024)
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) (2024)
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 (2024)
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. CoRR (2024)
Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
Untargeted Adversarial Attack on Knowledge Graph Embeddings. SIGIR (2024)
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)
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) (2024)
Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria
Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion 111 (2024)
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 (2024)
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 (2024)
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)
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)
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) (2024)
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 (2024)
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)
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. ACL (1) (2024)
Bin Shang, Yinliang Zhao, Jun Liu
Knowledge graph representation learning with relation-guided aggregation and interaction. Inf. Process. Manag. 61 (4) (2024)
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)
Hongwei Zeng, Bifan Wei, Jun Liu
RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation. Knowl. Based Syst. 300 (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2023)
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) (2023)
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) (2023)
Yudai Pan, Jun Liu, Lingling Zhang, Yi Huang
Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. Knowl. Based Syst. 277 (2023)
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) (2023)
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) (2023)
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 (2023)
Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI (2023)
Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong
-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. KDD (2023)
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) (2023)
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) (2023)
Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. IJCAI (2023)
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) (2023)
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) (2023)
Bin Shang, Yinliang Zhao, Di Wang, Jun Liu
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. SIGIR (2023)
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)
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 (2023)
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) (2023)
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 (2023)
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) (2022)
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)
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) (2022)
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) (2022)
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)
Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng
Weakly Supervised Learning for Textbook Question Answering. IEEE Trans. Image Process. 31 (2022)
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 (2021)
Wenjun Wu, Lingling Zhang, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu
Fuzzy c-Means Clustering with Discriminative Projection. ICBK (2021)
Hongwei Zeng, Zhenjie Hong, Jun Liu, Bifan Wei
Multi-task Learning for Multi-turn Dialogue Generation with Topic Drift Modeling. ICBK (2021)
Yanzhang Lyu, Hongzhi Yin, Jun Liu, Mengyue Liu, Huan Liu, Shizhuo Deng
Reliable Recommendation with Review-level Explanations. ICDE (2021)
Hongwei Zeng, Jun Liu, Meng Wang, Bifan Wei
A sequence to sequence model for dialogue generation with gated mixture of topics. Neurocomputing 437 (2021)
Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma
Rule-enhanced iterative complementation for knowledge graph reasoning. Inf. Sci. 575 (2021)
Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu
RL-CSDia: Representation Learning of Computer Science Diagrams. CoRR (2021)
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)
Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang
Weakly Supervised Group Mask Network for Object Detection. Int. J. Comput. Vis. 129 (3) (2021)
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)
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 (2021)
Bei Wu, Bifan Wei, Jun Liu, Kewei Wu, Meng Wang
Faceted Text Segmentation via Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu
An anomaly detection framework for time-evolving attributed networks. Neurocomputing 407 (2020)
Zheng Yan, Jun Liu, Laurence T. Yang, Witold Pedrycz
Data fusion in heterogeneous networks. Inf. Fusion 53 (2020)
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) (2020)
Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng
-means for image clustering. Pattern Recognit. Lett. 130 (2020)
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 (2020)
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)
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR (2020)
Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker
Structured query construction via knowledge graph embedding. Knowl. Inf. Syst. 62 (5) (2020)
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) (2020)
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 (2020)
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR (2020)
Jie Ma, Jun Liu, Junjun Li, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang
XTQA: Span-Level Explanations of the Textbook Question Answering. CoRR (2020)
Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang
Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. Neural Comput. 32 (9) (2020)
Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin
Jointly Optimized Neural Coreference Resolution with Mutual Attention. WSDM (2020)
Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
Anomaly Detection in Time-Evolving Attributed Networks. DASFAA (3) (2019)
Zhaotong Guo, Bifan Wei, Jun Liu, Bei Wu
TF-Miner: Topic-Specific Facet Mining by Label Propagation. DASFAA (3) (2019)
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) (2019)
Mengyue Liu, Jun Liu, Yihe Chen, Meng Wang, Hao Chen, Qinghua Zheng
AHNG: Representation learning on attributed heterogeneous network. Inf. Fusion 50 (2019)
Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng
Large-Scale Robust Semisupervised Classification. IEEE Trans. Cybern. 49 (3) (2019)
Hongwei Zeng, Zhuo Zhi, Jun Liu, Bifan Wei
Extended Answer and Uncertainty Aware Neural Question Generation. CoRR (2019)
Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker
Structured Query Construction via Knowledge Graph Embedding. CoRR (2019)
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)
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) (2019)
Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA (1) (2019)
Siyu Yao, Ruijie Wang, Shen Sun, Derui Bu, Jun Liu
Joint Embedding Learning of Educational Knowledge Graphs. CoRR (2019)
Meng Wang, Jun Liu, Bifan Wei, Siyu Yao, Hongwei Zeng, Lei Shi
Answering why-not questions on SPARQL queries. Knowl. Inf. Syst. 58 (1) (2019)
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)
Qinghua Zheng, Jun Liu, Hongwei Zeng, Zhaotong Guo, Bei Wu, Bifan Wei
Knowledge forest: a novel model to organize knowledge fragments. CoRR (2019)
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)
Hao Chen, Jun Liu, Yanzhang Lv, Max Haifei Li, Mengyue Liu, Qinghua Zheng
. Inf. Fusion 44 (2018)
Zheng Yan, Jun Liu, Laurence T. Yang, Nitesh V. Chawla
Big data fusion in Internet of Things. Inf. Fusion 40 (2018)
Jun Guo, Jun Liu
Deterministic construction of compressed sensing matrices based on semilattices. J. Comb. Optim. 35 (1) (2018)
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)
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)
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) (2018)
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 (2018)
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) (2018)

Jun Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Liu