Sparse Multi-Modal Topical Coding for Image Annotation. - Lingyun Song; Minnan Luo; Jun Liu 002; Lingling Zhang 005; Buyue Qian; Max Haifei Li; Qinghua Zheng (Neurocomputing, 2016)

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. - Minnan Luo; Lingling Zhang 005; Feiping Nie 001; Xiaojun Chang; Buyue Qian; Qinghua Zheng (IJCAI, 2017)

Distributed extreme learning machine with alternating direction method of multiplier. - Minnan Luo; Lingling Zhang 005; Jun Liu 002; Jun Guo; Qinghua Zheng (Neurocomputing, 2017)

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng (Neural Comput., 2018)

Scheduled sampling for one-shot learning via matching network. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng; Alexander G. Hauptmann (Pattern Recognit., 2019)

Large-Scale Robust Semisupervised Classification. - Lingling Zhang 005; Minnan Luo; Zhihui Li 001; Feiping Nie 001; Huaxiang Zhang 001; Jun Liu 002; Qinghua Zheng (IEEE Trans. Cybern., 2019)

Graph Few-shot Learning with Attribute Matching. - Ning Wang 020; Minnan Luo; Kaize Ding; Lingling Zhang 005; Jundong Li; Qinghua Zheng (CIKM, 2020)

ZSTAD: Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Sen Wang 001; Zongyuan Ge; Alexander G. Hauptmann (CVPR, 2020)

Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. - Xin Hu; Jun Liu 002; Jie Ma 001; Yudai Pan; Lingling Zhang 005 (Neural Comput., 2020)

Few-shot activity recognition with cross-modal memory network. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Mahesh Prakash; Alexander G. Hauptmann (Pattern Recognit., 2020)

Diverse fuzzy c-means for image clustering. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Zhihui Li 001; Qinghua Zheng (Pattern Recognit. Lett., 2020)

Deep Top-$k$ Ranking for Image-Sentence Matching. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Multim., 2020)

CSDQA: Diagram Question Answering in Computer Science. - Shaowei Wang; Lingling Zhang 005; Yi Yang 073; Xin Hu; Tao Qin 002; Bifan Wei; Jun Liu 002 (CCKS, 2021)

Fuzzy c-Means Clustering with Discriminative Projection. - Wenjun Wu; Lingling Zhang 005; Yiwei Chen; Xuan Luo; Bifan Wei; Jun Liu 002 (ICBK, 2021)

Learning Discriminative Neural Representations for Event Detection. - Jinzhi Liao; Xiang Zhao 002; Xinyi Li 001; Lingling Zhang 005; Jiuyang Tang (SIGIR, 2021)

RL-CSDia: Representation Learning of Computer Science Diagrams. - Shaowei Wang; Lingling Zhang 005; Xuan Luo; Yi Yang 073; Xin Hu; Jun Liu 002 (CoRR, 2021)

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Xin Hu; Tianzhe Zhao; Qika Lin (CoRR, 2021)

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan (CoRR, 2021)

Rule-enhanced iterative complementation for knowledge graph reasoning. - Qika Lin; Jun Liu 002; Yudai Pan; Lingling Zhang 005; Xin Hu; Jie Ma 001 (Inf. Sci., 2021)

Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Qinghua Zheng; Jianlong Zhou (IEEE Trans. Image Process., 2021)

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qika Lin; Xin Hu; Qianying Wang (EMNLP, 2022)

MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Xi Liang; Yujie Zhong; Yaqiang Wu (EMNLP, 2022)

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. - Qika Lin; Jun Liu 002; Fangzhi Xu; Yudai Pan; Yifan Zhu 001; Lingling Zhang 005; Tianzhe Zhao (SIGIR, 2022)

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. - Fangzhi Xu; Jun Liu 002; Qika Lin; Yudai Pan; Lingling Zhang 005 (SIGIR, 2022)

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. - Lingling Zhang 005; Shaowei Wang; Xiaojun Chang; Jun Liu 002; Zongyuan Ge; Qinghua Zheng (IEEE Trans. Circuits Syst. Video Technol., 2022)

Computer Science Diagram Understanding with Topology Parsing. - Shaowei Wang; Lingling Zhang 005; Xuan Luo; Yi Yang 073; Xin Hu; Tao Qin 002; Jun Liu 002 (ACM Trans. Knowl. Discov. Data, 2022)

GPTR: Gestalt-Perception Transformer for Diagram Object Detection. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Jinfu Fan; Yang You 001; Yaqiang Wu (AAAI, 2023)

Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Xinyu Zhang 021; Wenjun Wu; Qianying Wang (IJCAI, 2023)

DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Lingling Zhang 005; Jiaxin Wang 002; Qianying Wang (IEEE Trans. Image Process., 2023)

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Zhihui Li 001; Lina Yao 001; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Contrastive Graph Representations for Logical Formulas Embedding. - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (IEEE Trans. Knowl. Data Eng., 2023)

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. - Lingling Zhang 005; Shaowei Wang; Jun Liu 002; Xiaojun Chang; Qika Lin; Yaqiang Wu; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic dual graph networks for textbook question answering. - Yaxian Wang; Jun Liu 002; Jie Ma 001; Hongwei Zeng; Lingling Zhang 005; Junjun Li (Pattern Recognit., 2023)

Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Qika Lin; Lingling Zhang 005; Yaqiang Wu (IEEE Trans. Circuits Syst. Video Technol., 2023)

MoCA: Incorporating domain pretraining and cross attention for textbook question answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan; Yi Huang; Qianying Wang (Pattern Recognit., 2023)

Improved prototypical network for active few-shot learning. - Yaqiang Wu; Yifei Li 006; Tianzhe Zhao; Lingling Zhang 005; Bifan Wei; Jun Liu 002; Qinghua Zheng (Pattern Recognit. Lett., 2023)

Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Yi Huang (Knowl. Based Syst., 2023)

RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. - Lingling Zhang 005; Xinyu Zhang 021; Qianying Wang; Wenjun Wu; Xiaojun Chang; Jun Liu 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. - Jiaxin Wang 002; Lingling Zhang 005; Wee Sun Lee; Yujie Zhong; Liwei Kang; Jun Liu 002 (ACL (1), 2024)

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering. - Shaowei Wang; Lingling Zhang 005; Longji Zhu; Tao Qin 002; Kim-Hui Yap; Xinyu Zhang 021; Jun Liu 002 (CVPR, 2024)

E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator. - Wenjun Wu; Lingling Zhang 005; Jun Liu 002; Xi Tang; Yaxian Wang; Shaowei Wang; Qianying Wang (CVPR, 2024)

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (ICDE, 2024)

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Yun Lin 001; Jin Song Dong (WWW, 2024)

Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Tianlin Guo; Wenjun Wu (CoRR, 2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. - Muye Huang; Lai Han; Xinyu Zhang 021; Wenjun Wu; Jie Ma 001; Lingling Zhang 005; Jun Liu 002 (CoRR, 2024)

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning. - Muye Huang; Lingling Zhang 005; Lai Han; Wenjun Wu; Xinyu Zhang 021; Jun Liu 002 (CoRR, 2024)

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering. - Lingling Zhang 005; Muye Huang; QianYing Wang; Yaxian Wang; Wenjun Wu; Jun Liu 002 (CoRR, 2024)

Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin. - Tianlin Guo; Lingling Zhang 005; Jiaxin Wang 002; Yuokuo Lei; Yifei Li 006; Haofen Wang; Jun Liu 002 (CoRR, 2024)

DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams. - Xinyu Zhang 021; Lingling Zhang 005; Yanrui Wu; Muye Huang; Wenjun Wu; Bo Li; Shaowei Wang; Jun Liu 002 (CoRR, 2024)

Multi-view cognition with path search for one-shot part labeling. - Shaowei Wang; Lingling Zhang 005; Tao Qin 002; Jun Liu 002; Yifei Li 006; Qianying Wang; Qinghua Zheng (Comput. Vis. Image Underst., 2024)

Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems. - Bo Li; Lingling Zhang 005; Jun Liu 002; Hong Peng; Qianying Wang; Jiaqi Liu (Neural Networks, 2024)

Alignment Relation is What You Need for Diagram Parsing. - Xinyu Zhang 021; Lingling Zhang 005; Xin Hu; Jun Liu 002; Shaowei Wang; Qianying Wang (IEEE Trans. Image Process., 2024)

Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Qianying Wang (IEEE Trans. Knowl. Data Eng., 2024)

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Kunming Ma; Wenjun Wu; Xiang Zhao 002; Yaqiang Wu; Yi Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. - Lingling Zhang 005; Yifei Li 006; Qianying Wang; Yun Wang; Hang Yan 010; Jiaxin Wang 002; Jun Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. - Fangzhi Xu; Jun Liu 002; Qika Lin; Tianzhe Zhao; Jian Zhang 087; Lingling Zhang 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. - Muye Huang; Han Lai; Xinyu Zhang 021; Wenjun Wu; Jie Ma 001; Lingling Zhang 005; Jun Liu 002 (AAAI, 2025)

GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Lingling Zhang 005; Shuting He; Jun Li; Qika Lin (SIGIR, 2025)

Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs. - Wenjun Wu; Lingling Zhang 005; Jun Liu 002; Ming Ren; Xin Hu; Jiaxin Wang 002; Qianying Wang (Pattern Recognit., 2025)

Alignment-Guided Self-Supervised Learning for Diagram Question Answering. - Shaowei Wang; Lingling Zhang 005; Wenjun Wu; Tao Qin 002; Xinyu Zhang 021; Jun Liu 002 (IEEE Trans. Multim., 2025)

TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction. - Lingling Zhang 005; Yujie Zhong; Qinghua Zheng; Jun Liu 002; Qianying Wang; Jiaxin Wang 002; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. - Muye Huang; Lingling Zhang 005; Jie Ma 001; Han Lai; Fangzhi Xu; Yifei Li 006; Wenjun Wu; Yaqiang Wu; Jun Liu 002 (CoRR, 2025)