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Lingling Zhang 0005
Person information
- affiliation: Xi'an Jiaotong University, School of Computer Science and Technology, Key Laboratory of Intelligent Networks and Network Security, Xi'an, China
- affiliation (PhD 2020): Xi'an Jiaotong University, China
Other persons with the same name
- Lingling Zhang — disambiguation page
- Lingling Zhang 0001 — University of Chinese Academy of Sciences, School of Management, Beijing, China (and 1 more)
- Lingling Zhang 0002 — Hunan Women's University, Department of Information Technology, Changsha, China (and 1 more)
- Lingling Zhang 0003 — Northwestern Polytechnical University, School of Marine Science and Technology, Shaanxi, China
- Lingling Zhang 0004 — Liaoning Normal University, School of Mathematics, China
- Lingling Zhang 0006 — Beijing Institute of Technology, School of Machinery and Vehicles, Beijing, China (and 1 more)
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2020 – today
- 2024
- [j28]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) - [j27]Bo Li, Lingling Zhang, Jun Liu, Hong Peng, Qianying Wang, Jiaqi Liu:
Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems. Neural Networks 179: 106603 (2024) - [j26]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) - [j25]Lingling Zhang, Yifei Li, Qianying Wang, Yun Wang, Hang Yan, Jiaxin Wang, Jun Liu:
FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. IEEE Trans. Knowl. Data Eng. 36(12): 8267-8282 (2024) - [j24]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) - [c17]Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu:
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. ACL (1) 2024: 13130-13147 - [c16]Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, Shaowei Wang, Qianying Wang:
E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator. CVPR 2024: 13828-13837 - [c15]Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu:
CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering. CVPR 2024: 13969-13979 - [c14]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 - [c13]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 - [i11]Jiaxin Wang, Lingling Zhang, Jun Liu, Tianlin Guo, Wenjun Wu:
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery. CoRR abs/2401.06327 (2024) - [i10]Muye Huang, Lai Han, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu:
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. CoRR abs/2409.01577 (2024) - [i9]Muye Huang, Lingling Zhang, Lai Han, Wenjun Wu, Xinyu Zhang, Jun Liu:
VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning. CoRR abs/2409.01667 (2024) - [i8]Lingling Zhang, Muye Huang, QianYing Wang, Yaxian Wang, Wenjun Wu, Jun Liu:
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering. CoRR abs/2409.02611 (2024) - 2023
- [j23]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) - [j22]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) - [j21]Yaxian Wang, Jun Liu, Jie Ma, Hongwei Zeng, Lingling Zhang, Junjun Li:
Dynamic dual graph networks for textbook question answering. Pattern Recognit. 139: 109441 (2023) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [c12]Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI 2023: 899-907 - [c11]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 - [i7]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
- [j13]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) - [j12]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) - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [i6]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) - [i5]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
- [j11]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) - [j10]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) - [c6]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 - [c5]Wenjun Wu, Lingling Zhang, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu:
Fuzzy c-Means Clustering with Discriminative Projection. ICBK 2021: 418-425 - [c4]Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang:
Learning Discriminative Neural Representations for Event Detection. SIGIR 2021: 644-653 - [i4]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) - [i3]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) - [i2]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
- [j9]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) - [j8]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) - [j7]Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng:
Diverse fuzzy c-means for image clustering. Pattern Recognit. Lett. 130: 275-283 (2020) - [j6]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) - [c3]Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng:
Graph Few-shot Learning with Attribute Matching. CIKM 2020: 1545-1554 - [c2]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 - [i1]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)
2010 – 2019
- 2019
- [j5]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) - [j4]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) - 2018
- [j3]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng:
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. Neural Comput. 30(5) (2018) - 2017
- [j2]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) - [c1]Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng:
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. IJCAI 2017: 2421-2427 - 2016
- [j1]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)
Coauthor Index
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last updated on 2024-12-08 01:32 CET by the dblp team
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