Lingling Zhang (张玲玲)

Lingling Zhang (张玲玲)

Lingling Zhang（张玲玲）is an associate professor at the School of Computer Science and Technology, Xi’an Jiaotong University, and a member of Shaanxi Province Key Laboratory of Big Data Knowledge Engineering (陕西省大数据知识工程重点试验室，学术带头人郑庆华院士). She received joint Ph.D. training at the Carnegie Mellon University （卡耐基梅隆大学） from September 2018 to September 2019 and earned his Ph.D. from Xi’an Jiaotong University in July 2020. Her research focuses on the application of artificial intelligence technologies such as knowledge graphs, large language models and computer vision in smart education.

📖 Work and Educations Experience

  • 2023.01 - now, Associate Professor and Ph.D. Supervisor, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an.
  • 2021.10 - 2022.03, Seconded Staff Member, Center for Science and Technology Development（教育部科技发展中心）, Ministry of Education, Beijing.
  • 2020.07 - 2022.12, Assistant Professor, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an.
  • 2018.09 - 2019.09, Visiting Scholar, School of Computer Science, Carnegie Mellon University, Pittsburgh, USA.
  • 2015.09 - 2020.06, Ph.D., Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an. Supervisor: Jun Liu.
  • 2011.09 - 2015.06, Bachelor, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an.

🔥 News

  • 2026.04: Three papers are accepted by ACL 2026, five papers are accepted by ACL Findings 2026!
  • 2026.04: Won the First Prize of Shaanxi Provincial Science and Technology Progress Award （陕西省科技进步一等奖，排9）！
  • 2026.03: Three papers are accepted by CVPR 2026！
  • 2026.04: Won the Second Prize of the Wu Wenjun Artificial Intelligence Science and Technology Progress Award （人工智能学会吴文俊科技进步二等奖，排1）！
  • 2026.02: Won the Second Prize of Shaanxi Provincial Teaching Achievement Award （陕西省教学成果二等奖，排2）！
  • 2025.09: Three papers are accepted by NeurIPS 2025！
  • 2025.09: Won the second prize of the Teaching Achievements of the Chinese Association of Automation（自动化学会教学成果二等奖，排1）！

💬 Projects

  • 科技部重点研发计划课题，跨媒体教学资源的智能聚合与精准导学研究，2022YFC3303603，2022.10~2025.09，256万，主持。
  • 国家自然科学基金面上项目，大模型与符号融合的可解释几何问题求解方法研究，62477036，2025.01~2028.12，65万，主持。
  • 国家自然科学基金青年项目，教科书问答中的小样本推理方法研究，62106190，2022.01~2021.12，30万，主持。
  • 国家自然科学基金重大项目子课题，智能教学策略设计与调节机制，62293554HZ，2023.01~2027.12，72万，主持。
  • 北京联想横向课题，大模型+检索增强的教学问答推理系统，2025.04~2026.03，300万，主持。
  • 人民网横向课题，符号-神经融合的几何问题求解方法研究，2024.06~2025.05，100万，主持。
  • 中国移动横向课题，数据目录自动产生及分析机制研究，2023.11~2024.10，100万，主持。
  • CCF联想蓝海基金，面向中小学教育的教科书智能问答研究，2022.07~2023.06，30万，主持。

🎖 Honors and Awards

  • 2025 陕西省科技进步一等奖，大规模流媒体智能服务中云网端协同关键技术及应用，完成人：张未展、龚铁梁、闫彩霞、杜海鹏、李睿、董博、刘欢、师斌、张玲玲、罗敏楠、田锋、吕欣、马岚、王琦、刘江

  • 2025 人工智能学会吴文俊科技进步二等奖，神经-符号协同的抽象图文推理技术及应用，完成人：张玲玲、武亚强、刘欢、魏笔凡、田锋、王茜莺、刘均、董怡翔、王璐妍、李睿、李辉、张未展、董博、闫彩霞、朱春强

  • 2025 陕西省高等教育教学成果二等奖，立机制创平台建模式首创师机生混合增强智能赋能新工科人才培养新体系，完成人：田锋、 张玲玲、 周丽涛、 陈妍、 戴傲

  • 2025 秦创原青年科技人才

  • 2025 陕西高校优秀青年人才支持计划

  • 2025 中国工程院第一期青年智库学者沙龙一等奖

  • 2024 中国自动化学会高等教育教学成果二等奖，强产教融合，强项目驱动，强科教融汇，打造三强实践育人新模式，完成人：张玲玲、田锋、景洲、锁志海、徐墨、洪丹丹

  • 2024 西安自动化学会青年人才托举

  • 2024 第九届中国国际”互联网+”大学生创新创业大赛银奖，《慧测济康一AI病理辅助诊断引领者》，指导教师:李辰、刘均、龚铁梁、张玲玲、高泽宇等

  • 2023 CCF-科技进步一等奖，数实融合精准导学关键技术与应用，完成人：王茜莺、田锋、武亚强、张玲玲、王璐妍、张晓平

  • 2023 西安交通大学优秀研究生导师团队

  • 2022 第八届中国国际”互联网+”大学生创新创业大赛金奖，《知识森林智慧教育的知识引擎》，指导老师：刘均、郑庆华、田锋、张玲玲、马杰、王小华等

  • 2022 西安交通大学优秀博士学位论文

  • 2021 全国知识图谱与语义计算大会CCKS最佳论文资源奖

  • 2020 西安交通大学优秀博士毕业生

  • 2020 徐宗本应用数学论文奖

📝 Publications

TPAMI 2025
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Lingling Zhang, Wenjun Wu, Jun Liu, Xiaojun Chang, Xin Hu, Xuan Luo, Yaqiang Wu, Qinghua Zheng, LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory, IEEE TPAMI 2025.（CCF A，第一作者）

TPAMI 2025
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Lingling Zhang, Yujie Zhong, Qinghua Zheng, Jun Liu, Qianying Wang, Jiaxin Wang, Xiaojun Chang. TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction. IEEE TPAMI 2024.（CCF A，第一作者）

TPAMI 2022
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Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, and Alex Hauptmann. TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE TPAMI 2022.（CCF A，第一作者）

TKDE 2024
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Lingling Zhang, Yifei Li*, Qianying Wang, Yun Wang, Hang Yan, Jiaxin Wang, and Jun Liu. FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. IEEE TKDE, 2024.（CCF A，第一作者）

TKDE 2022
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Lingling Zhang, Shaowei Wang, Jun Liu*, Xiaojun Chang, Qika Lin, Yaqiang Wu, and Qinghua Zheng. MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE TKDE, 2022.（CCF A，第一作者）

📚 2026 Published or Accepted Papers

  • Yifei Li#, Weidong Guo#, Lingling Zhang*, Rongman Xu, Muye Huang, Hui Liu, Lijiao Xu, Yu Xu, Jun Liu. Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents. ACL 2026.（CCF A，唯一通讯）
  • Yumeng Fu, Jiayin Zhu, Lingling Zhang, Wenjun Wu, Bo Zhao, Shaoxuan Ma, Yushun Zhang, Jun Liu. GeoLaux: A Benchmark for Evaluating MLLMs’ Geometry Performance on Long-Step Problems Requiring Auxiliary Lines. ACL 2026.（CCF A，共同通讯）
  • Xinyu Zhang, Yuchen Wan, Boxuan Zhang, Zesheng Yang, Lingling Zhang*, Bifan Wei, Jun Liu. Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving. ACL 2026.（CCF A，唯一通讯）
  • Xinyu Zhang, Boxuan Zhang, Yuchen Wan, Lingling Zhang*, YiXing Yao, Bifan Wei, Yaqiang Wu, Jun Liu. OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving. ACL 2026 Findings.（唯一通讯）
  • Pengyu Li, Lingling Zhang*, Zhitao Gao, Yanrui Wu, Yuxuan Dong, Huan Liu, Bifan Wei, Jun Liu. AGT\textsuperscript{AO}: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality. ACL Findings 2026.（唯一通讯）
  • Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, li yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu. MAXS: Meta-Adaptive Exploration with LLM Agents. ACL Findings 2026.
  • Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Lingling Zhang, Yixin Chen, Xuequn Shang. G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning. ACL Findings 2026.
  • Yuxuan Dong, Xinyu Zhang*, Lingling Zhang, Han Lai, Pengyu Li, Bifan Wei, Yaqiang Wu, Jun Liu. PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving. ACL Findings 2026.
  • Lingling Zhang#, Muye Huang#*, Qianying Wang, Yaxian Wang, Wenjun Wu, Ziqi He, Jun Liu. GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering. CVIU 2026.（共同一作）
  • Bo Li, Yunkuo Lei, Tingting Bao, Hang Yan, Yaxian Wang, Weiping Fu, Lingling Zhang*, Jun Liu. Neurodynamics-Driven Coupled Neural P Systems for Multi-Focus Image Fusion. CVPR 2026.（CCF A，唯一通讯）
  • Muye Huang, Lingling Zhang*, Yifei Li, Yaqiang Wu, Jun Liu. SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More. CVPR 2026.（CCF A，唯一通讯）
  • Xinyu Zhang, Yuxuan Dong, Lingling Zhang*, Chengyou Jia, Zhuohang Dang, YiXing Yao, Yaqiang Wu, Basura Fernando, Jun Liu. Beyond Layer-Wise Merging: Chain-of-Merging for Vision-Language Models. CVPR 2026.（CCF A，唯一通讯）
  • Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu. MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning. AAAI 2026.
  • Jin Wei, Yaqiang Wu, Jiayi Yan, Zeng Li, Zhen Xu, Yu Zhou, Lingling Zhang, QianYing Wang. ST-SAM: Multimodal Scene Text Segmentation with Dense Visual and Sparse Textual Prompts via SAM. AAAI 2026.
  • Wenjun Wu, Lingling Zhang*, Bo Zhao, Bo Li, Xinyu Zhang, Yaqiang Wu. Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving. AAAI 2026.（CCF A，唯一通讯）
  • Xinyu Zhang, Lingling Zhang, Yanrui Wu, Shaowei Wang, Wenjun Wu, Muye Huang, Qianying Wang and Jun Liu. Memory-Enriched Thought-by-Thought Framework for Complex Diagram Question Answering. CVIU 2026.（共同通讯）

📚 2025 Published or Accepted Papers

  • Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou. CoFFT: Chain of Foresight-Focus Thought for Visual Language Models. NeurIPS 2025.（CCF A，共同通讯）
  • Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu. ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. NeurIPS 2025.（CCF A，共同通讯）
  • Wenjun Wu, Lingling Zhang*, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu. Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration. NeurIPS 2025.（CCF A，唯一通讯）
  • Xinyu Zhang, Lingling Zhang*, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Basura Fernando, Jun Liu. Diagram-driven course questions generation. EMNLP 2025.（唯一通讯）
  • Xinyu Zhang, Lingling Zhang*, Yanrui Wu, Muye Huang, Jun Liu. Cognitive Predictive Coding Network: Rethinking the Generalization in Raven’s Progressive Matrices. ACM MM 2025.（CCF A，唯一通讯）
  • Xinyu Zhang, Yuxuan Dong, Yanrui Wu, Jiaxing Huang, Chengyou Jia, Basura Fernando, Mike Zheng Shou, Lingling Zhang*, Jun Liu. PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning. ACL 2025.（CCF A，唯一通讯）
  • Yifei Li, Lingling Zhang*, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu. SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. KDD 2025.（CCF A，唯一通讯）
  • Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li and Qika Lin. GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. SIGIR 2025.
  • Bo Li, Lingling Zhang*, Tingting Bao, Yunkuo Lei, Xiaoqing Zhang, Jun Liu. When Multi-focus Image Fusion Meets Nonlinear Spiking Neural P Systems. TMM 2025.（唯一通讯）
  • Wenjun Wu, Lingling Zhang*, Jun Liu, Ming Ren, Xin Hu, Jiaxin Wang and Qianying Wang. Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs. PR 2025.（唯一通讯）
  • Lingling Zhang, Wenjun Wu, Jun Liu, Xiaojun Chang, Xin Hu, Xuan Luo, Yaqiang Wu, Qinghua Zheng. LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory. IEEE TPAMI 2025.（CCF A，第一作者）
  • Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu. EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. AAAI 2025.
  • Muye Huang, Lingling Zhang*, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu. VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning. AAAI 2025.（CCF A，唯一通讯）

📚 2024 Published or Accepted Papers

  • Lingling Zhang, Yujie Zhong, Qinghua Zheng, Jun Liu, Qianying Wang, Jiaxin Wang, Xiaojun Chang. TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction. IEEE TPAMI 2024.（CCF A，第一作者）
  • Shaowei Wang, Lingling Zhang, Wenjun Wu, Tao Qin, Xinyu Zhang, Jun Liu. Alignment-guided Self-supervised Learning for Diagram Question Answering. IEEE TMM 2024.（共同通讯）
  • Bo Li, Lingling Zhang*, Jun Liu, Hong Peng. Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems. Neural Networks 2024.（唯一通讯）
  • 李逸飞、张玲玲*、董宇轩、王佳欣、仲宇杰、魏笔凡. 基于大语言模型增强表征对齐的小样本持续关系抽取方法. 计算机科学与探索, 2024.（唯一通讯）
  • Lingling Zhang, Yifei Li*, Qianying Wang, Yun Wang, Hang Yan, Jiaxin Wang, and Jun Liu. FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. IEEE TKDE, 2024.（CCF A，第一作者）
  • 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 2024.（CCF A，唯一通讯）
  • 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. CVIU 2024.（共同通讯）
  • Xinyu Zhang, Lingling Zhang*, Xin Hu, Jun Liu, Shaowei Wang and Qianying Wang. Alignment Relation is What You Need for Diagram Parsing. IEEE TIP 2024.（CCF A，唯一通讯）
  • 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.（CCF A，唯一通讯）
  • 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.（CCF A，唯一通讯）
  • Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, QianyingWang. Context-Aware Commonsense Knowledge Graph Reasoning with Path-Guided Explanations. IEEE TKDE 2024.
  • Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jinsong Dong. A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. WWW 2024.

📚 2023 Published or Accepted Papers

  • 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. IEEE TNNLS 2023.
  • 潘雨黛、张玲玲、蔡忠闵*、赵天哲、魏笔凡、刘均. 基于大规模语言模型的知识图谱可微规则抽取. 计算机科学与探索, 2023.（非第一作者、非通讯）
  • 郑庆华、张玲玲、龚铁梁、刘欢. 大数据知识工程. 科学出版社, 2023.
  • Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Jiaxin Wang, Qianying Wang. DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering. IEEE TIP 2023.
  • Yudai Pan, Jun Liu*, Lingling Zhang, Yi Huang. Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. Knowledge-Based Systems, 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.（CCF A，唯一通讯）
  • 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 Recognition 2023.
  • Lingling Zhang, Xinyu Zhang, Qianying Wang, Wenjun Wu, Xiaojun Chang, Jun Liu. RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. IEEE TCSVT 2023.（第一作者）
  • Yaxian Wang, Jun Liu, Ma jie, Hongwei Zeng, Lingling Zhang, Junjun Li. Dynamic Dual Graph Networks for Textbook Question Answering. Pattern Recognition 2023.
  • 郑庆华, 刘欢, 龚铁梁, 张玲玲, 刘均. 大数据知识工程发展现状与未来展望. 中国工程科学, 2023, 已录用.（非第一作者、非通讯）
  • Xin Hu, Lingling Zhang*, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu. GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI 2023.（CCF A，唯一通讯）

📚 2022 Published or Accepted Papers

  • Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu. Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. IEEE TCSVT 2022.
  • 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 TNNLS, 2022.（唯一通讯）
  • Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu and Qianying Wang. Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. EMNLP 2022.
  • Jiaxin Wang, Lingling Zhang*, Jun Liu, Liang Xi, Yujie Zhong and Yaqiang Wu. MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. EMNLP 2022.（唯一通讯）
  • Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, and Alex Hauptmann. TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE TPAMI 2022.（CCF A，第一作者）
  • Lingling Zhang, Shaowei Wang, Jun Liu*, Xiaojun Chang, Qika Lin, Yaqiang Wu, and Qinghua Zheng. MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE TKDE, 2022.（CCF A，第一作者）
  • Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan and Lingling Zhang. Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. SIGIR 2022.
  • Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang and Tianzhe Zhao. Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR 2022.
  • Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Tao Qin, Jun Liu. Computer Science Diagram Understanding with Topology Parsing. ACM TKDD 2022.（共同通讯）

📚 2021 Published or Accepted Papers

  • Qika Lin; Jun Liu, Lingling Zhang*, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng. Contrastive Graph Representations for Logical Formulas Embedding. IEEE TKDE, 2021.（CCF A，唯一通讯）
  • 张玲玲*、陈一苇、吴文俊、魏笔凡、罗炫、常晓军、刘均. 基于对比约束的可解释小样本学习. 计算机研究与发展, 2021.（CCF A，唯一通讯）
  • Shaowei Wang, Lingling Zhang*, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu. CSDQA: Diagram Question Answering in Computer Science. China Conference on Knowledge Graph and Semantic Computing. Springer, Singapore, 2021: 274-280.（最佳论文资源奖，唯一通讯）
  • Wenjun Wu, Lingling Zhang*, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu. Fuzzy c-Means Clustering with Discriminative Projection. ICBK 2021.（唯一通讯）
  • Xin Hu, Lingling Zhang*, Jun Liu, Qinghua Zheng, Jianlong Zhou. Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. IEEE TIP, 2021.（CCF A，唯一通讯）
  • 蔺奇卡、张玲玲*、刘均、赵天哲. 基于问句感知图卷积的教育知识库问答方法. 计算机科学与探索, 2021.（唯一通讯）
  • 郑庆华、刘均、魏笔凡、张玲玲. 知识森林：理论、方法与实践. 科学出版社, 2021.
  • Jun Liu, Lingling Zhang, Bifan Wei, Qinghua Zheng. Virtual Teaching Assistants: Technologies, Applications and Challenges. In: Fang Chen, Jianlong Zhou (Eds.), Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership, Springer, 2021.（非第一作者、非通讯）
  • Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma. Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning. Information Sciences, 2021.
  • Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, and Qinghua Zheng. Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE TCSVT 2021, Accepted.（第一作者）
  • Jinzhi Liao, Xiang Zhao, Xibyi Li, Lingling Zhang, Jiuyang Tang. Learning Discriminative Neural Representations for Event Detection. SIGIR 2021.

📚 2020 Previous Published or Accepted Papers

  • Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng. Graph Few-shot Learning with Attribute Matching. CIKM 2020.
  • Lingling Zhang, Xiaojun Chang, Jun Liu, Sen Wang, Zongyuan Ge, Minnan Luo, Alexander Hauptmann. ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020.（CCF A，第一作者）
  • Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang. Fine-grained 3D-Attention Prototypes for FewShot Learning. Neural Computation, 2020.
  • Lingling Zhang, Xiaojun Chang, Jiu Liu, Minnan Luo, and Alexander G. Hauptmann. Few-Shot Activity Recognition with Cross-Modal Memory Network. Pattern Recognition, 2020.（第一作者）
  • Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huangxiang Zhang, Jun Liu, Qinghua Zheng. Large Scale Robust Semi-supervised Classification. IEEE TCYB, 2018, 49(3): 907-917.（第一作者）
  • Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, and Alexander G. Hauptmann. Deep Top-k Ranking for Image-Sentence Matching. IEEE TMM, 2019.（第一作者）
  • Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, and Alexander G. Hauptmann. Scheduled Sampling for One-Shot Learning via Matching Network. Pattern Recognition, 2019.（第一作者）
  • Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng. Deep Semi-supervised Zero-shot Learning with Maximum Mean Discrepancy. Neural Computation, 2018, 30(5), 1426-1447.（第一作者）
  • Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng. Diverse fuzzy c-means for image clustering. Pattern Recognition Letter, 2018.（第一作者）
  • Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng. Adaptive Semi-supervised Learning with Discriminative Least Squares Regression. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  • Minnan Luo, Lingling Zhang, Jun Liu and Qinghua Zheng. Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier. Neurocomputing, 2017, 261, 164-170.
  • Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Haifei Li, Qinghua Zheng. Sparse Multi-Modal Topical Coding for Image Annotation. Neurocomputing, 2016, 214, 162-174.