Lingling Zhang

87 papers A* 20A 1Journal 61Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGT CoRR Pengyu Li, Lingling Zhang, Zhitao Gao, Yanrui Wu, Yuxuan Dong, Huan Liu, Bifan Wei, Jun Liu
2026	A*	`conf`	Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving. AAAI Wenjun Wu, Lingling Zhang, Bo Zhao, Bo Li, Xinyu Zhang, Yaqiang Wu
2026	J	`jnl`	ErrEval: Error-Aware Evaluation for Question Generation through Explicit Diagnostics. CoRR Weiping Fu, Bifan Wei, Jingyi Hao, Yushun Zhang, Jian Zhang, Jiaxin Wang, Bo Li, Yu He, Lingling Zhang, Jun Liu
2026	J	`jnl`	GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams. CoRR Yushun Zhang, Weiping Fu, Zesheng Yang, Bo Zhao, Lingling Zhang, Jian Zhang, Yumeng Fu, Jiaxing Huang, Jun Liu
2026	J	`jnl`	GeoTree: A Dynamic Tree-Based Geometry Problem Solver Through LLM-Symbolic Reasoning. IEEE Trans. Multim. Yaxian Wang, Bifan Wei, Yinghong Ma, Lingling Zhang, Xudong Jiang, Henghui Ding, Jun Liu
2026	J	`jnl`	LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory. IEEE Trans. Pattern Anal. Mach. Intell. Lingling Zhang, Wenjun Wu, Jun Liu, Xiaojun Chang, Xin Hu, Xuan Luo, Yaqiang Wu, Qinghua Zheng
2026	A*	`conf`	MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning. AAAI Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu
2026	J	`jnl`	MAXS: Meta-Adaptive Exploration with LLM Agents. CoRR Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu
2026	J	`jnl`	Memory-enriched thought-by-thought framework for complex Diagram Question Answering. Comput. Vis. Image Underst. Xinyu Zhang, Lingling Zhang, Yanrui Wu, Shaowei Wang, Wenjun Wu, Muye Huang, Qianying Wang, Jun Liu
2026	J	`jnl`	ReDiffuse: Rotation Equivariant Diffusion Model for Multi-focus Image Fusion. CoRR Bo Li, Tingting Bao, Lingling Zhang, Weiping Fu, Yaxian Wang, Jun Liu
2026	A*	`conf`	ST-SAM: Multimodal Scene Text Segmentation with Dense Visual and Sparse Textual Prompts via SAM. AAAI Jin Wei, Yaqiang Wu, Jiayi Yan, Zeng Li, Zhen Xu, Yu Zhou, Lingling Zhang, Qianying Wang
2026	J	`jnl`	SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More. CoRR Muye Huang, Lingling Zhang, Yifei Li, Yaqiang Wu, Jun Liu
2026	J	`jnl`	When Multi-Focus Image Fusion Meets Nonlinear Spiking Neural P Systems. IEEE Trans. Multim. Bo Li, Lingling Zhang, Tingting Bao, Yunkuo Lei, Xiaoqing Zhang, Jun Liu
2025	J	`jnl`	Alignment-Guided Self-Supervised Learning for Diagram Question Answering. IEEE Trans. Multim. Shaowei Wang, Lingling Zhang, Wenjun Wu, Tao Qin, Xinyu Zhang, Jun Liu
2025	J	`jnl`	ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. CoRR Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu
2025	J	`jnl`	CoFFT: Chain of Foresight-Focus Thought for Visual Language Models. CoRR Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou
2025	A*	`conf`	Cognitive Predictive Coding Network: Rethinking the Generalization in Raven's Progressive Matrices. ACM Multimedia Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Jun Liu
2025	A*	`conf`	Diagram-Driven Course Questions Generation. EMNLP Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Basura Fernando, Jun Liu
2025	A*	`conf`	EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. AAAI Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu
2025	A*	`conf`	GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. SIGIR Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin
2025	J	`jnl`	Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs. Pattern Recognit. Wenjun Wu, Lingling Zhang, Jun Liu, Ming Ren, Xin Hu, Jiaxin Wang, Qianying Wang
2025	—	`conf`	PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning. ACL (1) Xinyu Zhang, Yuxuan Dong, Yanrui Wu, Jiaxing Huang, Chengyou Jia, Basura Fernando, Mike Zheng Shou, Lingling Zhang, Jun Liu
2025	J	`jnl`	PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning. CoRR Xinyu Zhang, Yuxuan Dong, Yanrui Wu, Jiaxing Huang, Chengyou Jia, Basura Fernando, Mike Zheng Shou, Lingling Zhang, Jun Liu
2025	J	`jnl`	Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs. CoRR Shihao Qi, Jie Ma, Ziang Yin, Lingling Zhang, Jian Zhang, Jun Liu, Feng Tian, Tongliang Liu
2025	—	`conf`	SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. KDD (2) Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu
2025	J	`jnl`	SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. CoRR Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu
2025	J	`jnl`	TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction. IEEE Trans. Pattern Anal. Mach. Intell. Lingling Zhang, Yujie Zhong, Qinghua Zheng, Jun Liu, Qianying Wang, Jiaxin Wang, Xiaojun Chang
2024	A*	`conf`	A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. WWW Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong
2024	J	`jnl`	Alignment Relation is What You Need for Diagram Parsing. IEEE Trans. Image Process. Xinyu Zhang, Lingling Zhang, Xin Hu, Jun Liu, Shaowei Wang, Qianying Wang
2024	A*	`conf`	CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering. CVPR Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu
2024	J	`jnl`	Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations. IEEE Trans. Knowl. Data Eng. Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Qianying Wang
2024	A*	`conf`	Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). ICDE Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
2024	J	`jnl`	DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams. CoRR Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Jun Liu
2024	A*	`conf`	E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator. CVPR Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, Shaowei Wang, Qianying Wang
2024	J	`jnl`	EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. CoRR Muye Huang, Lai Han, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu
2024	J	`jnl`	FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. IEEE Trans. Knowl. Data Eng. Lingling Zhang, Yifei Li, Qianying Wang, Yun Wang, Hang Yan, Jiaxin Wang, Jun Liu
2024	J	`jnl`	Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin. CoRR Tianlin Guo, Lingling Zhang, Jiaxin Wang, Yuokuo Lei, Yifei Li, Haofen Wang, Jun Liu
2024	J	`jnl`	GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering. CoRR Lingling Zhang, Muye Huang, Qianying Wang, Yaxian Wang, Wenjun Wu, Jun Liu
2024	J	`jnl`	Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery. CoRR Jiaxin Wang, Lingling Zhang, Jun Liu, Tianlin Guo, Wenjun Wu
2024	J	`jnl`	Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. IEEE Trans. Neural Networks Learn. Syst. Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
2024	J	`jnl`	Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems. Neural Networks Bo Li, Lingling Zhang, Jun Liu, Hong Peng, Qianying Wang, Jiaqi Liu
2024	J	`jnl`	Multi-view cognition with path search for one-shot part labeling. Comput. Vis. Image Underst. Shaowei Wang, Lingling Zhang, Tao Qin, Jun Liu, Yifei Li, Qianying Wang, Qinghua Zheng
2024	J	`jnl`	TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. IEEE Trans. Neural Networks Learn. Syst. Jiaxin Wang, Lingling Zhang, Jun Liu, Kunming Ma, Wenjun Wu, Xiang Zhao, Yaqiang Wu, Yi Huang
2024	J	`jnl`	VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning. CoRR Muye Huang, Lingling Zhang, Lai Han, Wenjun Wu, Xinyu Zhang, Jun Liu
2024	—	`conf`	When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. ACL (1) Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu
2023	J	`jnl`	Contrastive Graph Representations for Logical Formulas Embedding. IEEE Trans. Knowl. Data Eng. Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
2023	A*	`conf`	Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. IJCAI Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang
2023	J	`jnl`	DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering. IEEE Trans. Image Process. Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Jiaxin Wang, Qianying Wang
2023	J	`jnl`	Dynamic dual graph networks for textbook question answering. Pattern Recognit. Yaxian Wang, Jun Liu, Jie Ma, Hongwei Zeng, Lingling Zhang, Junjun Li
2023	A*	`conf`	GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu
2023	J	`jnl`	Improved prototypical network for active few-shot learning. Pattern Recognit. Lett. Yaqiang Wu, Yifei Li, Tianzhe Zhao, Lingling Zhang, Bifan Wei, Jun Liu, Qinghua Zheng
2023	J	`jnl`	Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. Knowl. Based Syst. Yudai Pan, Jun Liu, Lingling Zhang, Yi Huang
2023	J	`jnl`	Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text. CoRR Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
2023	J	`jnl`	MoCA: Incorporating domain pretraining and cross attention for textbook question answering. Pattern Recognit. Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang
2023	J	`jnl`	MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE Trans. Knowl. Data Eng. Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng
2023	J	`jnl`	RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. Lingling Zhang, Xinyu Zhang, Qianying Wang, Wenjun Wu, Xiaojun Chang, Jun Liu
2023	J	`jnl`	Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. IEEE Trans. Circuits Syst. Video Technol. Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu
2023	J	`jnl`	TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann
2022	J	`jnl`	Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng
2022	J	`jnl`	Computer Science Diagram Understanding with Topology Parsing. ACM Trans. Knowl. Discov. Data Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Tao Qin, Jun Liu
2022	J	`jnl`	GPTR: Gestalt-Perception Transformer for Diagram Object Detection. CoRR Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu
2022	A*	`conf`	Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao
2022	A*	`conf`	Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. EMNLP Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang
2022	A*	`conf`	Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. SIGIR Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang
2022	J	`jnl`	Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. CoRR Fangzhi Xu, Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang
2022	A*	`conf`	MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. EMNLP Jiaxin Wang, Lingling Zhang, Jun Liu, Xi Liang, Yujie Zhong, Yaqiang Wu
2021	—	`conf`	CSDQA: Diagram Question Answering in Computer Science. CCKS Shaowei Wang, Lingling Zhang, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu
2021	J	`jnl`	Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. IEEE Trans. Image Process. Xin Hu, Lingling Zhang, Jun Liu, Qinghua Zheng, Jianlong Zhou
2021	—	`conf`	Fuzzy c-Means Clustering with Discriminative Projection. ICBK Wenjun Wu, Lingling Zhang, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu
2021	A*	`conf`	Learning Discriminative Neural Representations for Event Detection. SIGIR Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang
2021	J	`jnl`	Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. CoRR Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin
2021	J	`jnl`	MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. CoRR Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan
2021	J	`jnl`	RL-CSDia: Representation Learning of Computer Science Diagrams. CoRR Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu
2021	J	`jnl`	Rule-enhanced iterative complementation for knowledge graph reasoning. Inf. Sci. Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma
2020	J	`jnl`	Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann
2020	J	`jnl`	Diverse fuzzy Pattern Recognit. Lett. Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng
2020	J	`jnl`	Few-shot activity recognition with cross-modal memory network. Pattern Recognit. Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann
2020	J	`jnl`	Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. Neural Comput. Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang
2020	A	`conf`	Graph Few-shot Learning with Attribute Matching. CIKM Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng
2020	A*	`conf`	ZSTAD: Zero-Shot Temporal Activity Detection. CVPR Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
2020	J	`jnl`	ZSTAD: Zero-Shot Temporal Activity Detection. CoRR Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
2019	J	`jnl`	Large-Scale Robust Semisupervised Classification. IEEE Trans. Cybern. Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng
2019	J	`jnl`	Scheduled sampling for one-shot learning via matching network. Pattern Recognit. Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann
2018	J	`jnl`	Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. Neural Comput. Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng
2017	A*	`conf`	Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. IJCAI Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng
2017	J	`jnl`	Distributed extreme learning machine with alternating direction method of multiplier. Neurocomputing Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng
2016	J	`jnl`	Sparse Multi-Modal Topical Coding for Image Annotation. Neurocomputing Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng