Lingling Zhang

According to our database, Lingling Zhang authored at least 52 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction.

Jiaxin Wang, Lingling Zhang, Jun Liu, Kunming Ma, Wenjun Wu, Xiang Zhao, Yaqiang Wu, Yi Huang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Alignment Relation is What You Need for Diagram Parsing.

Xinyu Zhang, Lingling Zhang, Xin Hu, Jun Liu, Shaowei Wang, Qianying Wang

IEEE Trans. Image Process., 2024

Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems.

Bo Li, Lingling Zhang, Jun Liu, Hong Peng, Qianying Wang, Jiaqi Liu

Neural Networks, 2024

Multi-view cognition with path search for one-shot part labeling.

Shaowei Wang, Lingling Zhang, Tao Qin, Jun Liu, Yifei Li, Qianying Wang, Qinghua Zheng

Comput. Vis. Image Underst., 2024

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering.

Lingling Zhang, Muye Huang, QianYing Wang, Yaxian Wang, Wenjun Wu, Jun Liu

CoRR, 2024

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning.

Muye Huang, Lingling Zhang, Lai Han, Wenjun Wu, Xinyu Zhang, Jun Liu

CoRR, 2024

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding.

Muye Huang, Lai Han, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu

CoRR, 2024

Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery.

Jiaxin Wang, Lingling Zhang, Jun Liu, Tianlin Guo, Wenjun Wu

CoRR, 2024

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction.

Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong

Proceedings of the ACM on Web Conference 2024, 2024

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract).

Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator.

Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, Shaowei Wang, Qianying Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering.

Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models.

Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation.

Lingling Zhang, Xinyu Zhang, Qianying Wang, Wenjun Wu, Xiaojun Chang, Jun Liu

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Incorporating logic rules with textual representations for interpretable knowledge graph reasoning.

Yudai Pan, Jun Liu, Lingling Zhang, Yi Huang

Knowl. Based Syst., October, 2023

Improved prototypical network for active few-shot learning.

Yaqiang Wu, Yifei Li, Tianzhe Zhao, Lingling Zhang, Bifan Wei, Jun Liu, Qinghua Zheng

Pattern Recognit. Lett., August, 2023

MoCA: Incorporating domain pretraining and cross attention for textbook question answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang

Pattern Recognit., August, 2023

Spatial-Semantic Collaborative Graph Network for Textbook Question Answering.

Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Dynamic dual graph networks for textbook question answering.

Yaxian Wang, Jun Liu, Jie Ma, Hongwei Zeng, Lingling Zhang, Junjun Li

Pattern Recognit., July, 2023

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification.

Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., June, 2023

Contrastive Graph Representations for Logical Formulas Embedding.

Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng

IEEE Trans. Knowl. Data Eng., April, 2023

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering.

Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Jiaxin Wang, Qianying Wang

IEEE Trans. Image Process., 2023

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text.

Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang

CoRR, 2023

Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention.

Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GPTR: Gestalt-Perception Transformer for Diagram Object Detection.

Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Computer Science Diagram Understanding with Topology Parsing.

Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Tao Qin, Jun Liu

ACM Trans. Knowl. Discov. Data, 2022

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning.

Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng

IEEE Trans. Circuits Syst. Video Technol., 2022

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning.

Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction.

Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering.

Jiaxin Wang, Lingling Zhang, Jun Liu, Xi Liang, Yujie Zhong, Yaqiang Wu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations.

Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model.

Xin Hu, Lingling Zhang, Jun Liu, Qinghua Zheng, Jianlong Zhou

IEEE Trans. Image Process., 2021

Rule-enhanced iterative complementation for knowledge graph reasoning.

Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma

Inf. Sci., 2021

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan

CoRR, 2021

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning.

Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin

CoRR, 2021

RL-CSDia: Representation Learning of Computer Science Diagrams.

Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu

CoRR, 2021

Learning Discriminative Neural Representations for Event Detection.

Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Fuzzy c-Means Clustering with Discriminative Projection.

Wenjun Wu, Lingling Zhang, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

CSDQA: Diagram Question Answering in Computer Science.

Shaowei Wang, Lingling Zhang, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

2020

Deep Top-$k$ Ranking for Image-Sentence Matching.

Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann

IEEE Trans. Multim., 2020

Diverse fuzzy <i>c</i>-means for image clustering.

Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng

Pattern Recognit. Lett., 2020

Few-shot activity recognition with cross-modal memory network.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann

Pattern Recognit., 2020

Fine-Grained 3D-Attention Prototypes for Few-Shot Learning.

Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang

Neural Comput., 2020

ZSTAD: Zero-Shot Temporal Activity Detection.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Graph Few-shot Learning with Attribute Matching.

Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Large-Scale Robust Semisupervised Classification.

Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng

IEEE Trans. Cybern., 2019

Scheduled sampling for one-shot learning via matching network.

Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann

Pattern Recognit., 2019

2018

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.

Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng

Neural Comput., 2018

2017

Distributed extreme learning machine with alternating direction method of multiplier.

Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng

Neurocomputing, 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.

Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Sparse Multi-Modal Topical Coding for Image Annotation.

Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng

Neurocomputing, 2016