刘均
教授
计算机学院 · 西安交通大学
✉ liukeen@xjtu.edu.cn研究方向
自然语言理解
计算机视觉
智慧教育获奖与荣誉
国家级领军人才
国家科技进步二等奖
国家教学成果二等奖
教育部新世纪优秀人才
中国商飞卓越科学家
自动化学会科技进步特等奖
陕西省技术发明一等奖
陕西省自然科学一等奖
陕西省青年科技奖
王宽诚育才奖
陕西省优秀博士学位论文指导教师
校优秀导师团队
互联网+国赛金奖项目指导教师
西咸新区秦创源创新人才
西安交通大学科技工作先进个人
IEEE 高级会员
CCF 高级会员
Best Paper ×3
IEEE Outstanding Service Award
Google 奖教金
IBM中国优秀教师奖主持的科研项目
- 2025.1–2026.12 国家自然科学基金原创探索(延续) · 示意图深度理解方法（62450005）
- 2023.1–2027.12 国家自然科学基金重大项目 · 跨媒体教学资源理解与个性化导学（62293553）
- 2023.1–2023.12 国家自然科学基金原创探索 · 视觉感知引导的示意图理解（62250066）
- 2022.1–2025.12 国家自然科学基金 · 一阶逻辑公式表征学习与可微推理（62176207）
- 2018.5–2021.4 国家重点研发计划 · 教育大数据分析挖掘与智慧教育示范（2018YFB1004500）
- 2017.1–2020.12 国家自然科学基金 · 知识碎片分面聚合方法（61672419）
- 2016.1–2020.12 国家自然科学基金重点项目 · 在线协同学习机理与方法（61532004）
- 2012.1–2014.12 国家"863"计划 · 海量Web数据内容管理与分析挖掘（2012AA011003）
- 2011.1–2014.12 国家自然科学基金 · 知识地图拓扑演化与e-Learning应用（61173112）
- 2010.1–2012.12 "核高基"国家科技重大专项 · 数字教育关键技术（2010ZX01045-001-005-2）
- 2009.1–2011.12 国家自然科学基金 · 知识元及其关联挖掘方法（60803079）
- 2008.7–2010.6 国家"863"计划 · 海量知识资源组织管理与服务（2008AA01Z131）
- 2007.1–2009.12 国家科技支撑计划 · 村镇教育资源远程服务（2006BAJ07B06-2）
其它项目（省部级、横向、教改等 14 项）
- 2026.1–2028.12 国开在线横向 · AI驱动的大规模个性化学习平台
- 2025.9–2030.8 教育部学科突破先导 · 面向工程互联网的知识工程
- 2023.7–2025.06 陕西省重点研发计划 · 智能教学环境构建（2023GXLH-023）
- 2023.1–2024.10 西安交大教改(重点) · 采集式学习的实践教学模式
- 2020.1–2020.10 联想横向 · 基于知识森林的教与学系统
- 2020.1–2020.12 弘成科技协同育人 · 数据挖掘
- 2018.1–2018.12 Intel产学合作协同育人 · 自然语言理解与机器翻译
- 2018.1–2019.12 西安交大在线教改 · 知识森林碎片化知识组织与导航学习
- 2016.1–2017.12 教育部在线教育研究基金 · 学习者学习路径优化
- 2014.1–2016.12 西安交大青年教师跟踪支持 · 知识地图导航学习
- 2010.1–2011.12 教育部专项 · 基于知识元的科技论文检索
- 2009.1–2011.12 教育部新世纪优秀人才 · 知识元关联挖掘（NCET-08-0433）
- 2005.1–2007.12 陕西省自然科学基金 · 领域知识获取及可计算化
- 2002.1–2003.12 教育部中央财政专项 · 计算机教学管理(CMI)示范系统
获奖
- 2022 陕西省自然科学一等奖 · 大数据知识工程（第6）
- 2022 国家教学成果二等奖 · 一带一路人才培养（第4）
- 2020 中国自动化学会科技进步特等奖 · 知识森林智能导学（第3）
- 2018 陕西省技术发明一等奖 · 知识地图导航学习（第2）
- 2017 国家科技进步二等奖 · 税务大数据（第7）
- 2013 中国电子学会科技进步一等奖 · 电子税务大数据（第4）
- 2009 国家教学成果二等奖 · 数字教学资源共享（第3）
- 2006 国家科技进步二等奖 · 天地网远程教育（第3）
- 2003 陕西省科技进步一等奖 · IP网远程教学（第2）
代表论文
2026
Journal
Spiking Neural P Systems Incorporating Winner-take-all Mechanism
T. Bao, B. Wei, B. Li, L. Zhang, H. Peng, X. Zhang, J. Liu
Information and Computation, 2026
Reasoning step by step via a neural-symbolic geometry problem solver
Y. Wang, B. Wei, Y. Ma, X. Jiang, H. Ding, Z. Cai, J. Liu
Pattern Recognition, 2026
GKG-LLM: A unified framework for generalized knowledge graph construction
J. Zhang, S. Qi, Y. Dong, L. Yuan, T. Shen, W. Fu, B. Wei, H. Zhu, J. Liu
Information Fusion, 2026
Explainable Visual Question Answering: A Survey on Methods, Datasets and Evaluation
Y. Wang, Q. Lin, J. Shi, Y. An, J. Liu, B. Wei, X. Jiang
Information Fusion, 2026
Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement
J. Zhang, Z. Wang, Z. Wang, W. Fu, Y. He, H. Zhu, Q. Lin, J. Liu
IEEE TAFFC, 2026
Memory-Enriched Thought-by-Thought Framework for Complex Diagram Question Answering
X. Zhang, L. Zhang, Y. Wu, S. Wang, W. Wu, M. Huang, Q. Wang, J. Liu
CVIU, 2026
Conference
MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization
J. Zhang, Z. Wang, H. Zhu, K. Cheng, K. He, B. Li, Q. Lin, J. Liu, E. Cambria
AAAI 2026
MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning
J. Zhang, Z. Wang, Z. Wang, F. Xu, Q. Lin, L. Zhang, R. Mao, E. Cambria, J. Liu
AAAI 2026
SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More
M. Huang, L. Zhang, Y. Li, Y. Wu, J. Liu
CVPR 2026
Beyond Layer-Wise Merging: Chain-of-Merging for Vision-Language Models
X. Zhang, Y. Dong, L. Zhang, C. Jia, Z. Dang, Y. Yao, Y. Wu, B. Fernando, J. Liu
CVPR 2026
Neurodynamics-Driven Coupled Neural P Systems for Multi-Focus Image Fusion
B. Li, Y. Lei, T. Bao, H. Yan, Y. Wang, W. Fu, L. Zhang, J. Liu
CVPR 2026
Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
T. Zhao, J. Chen, S. Zhang, H. Zhu, Q. Lin, J. Liu
SIGIR 2026
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
H. Yan, F. Xu, R. Xu, Y. Li, J. Zhang, H. Luo, X. Wu, A. T. Luu, H. Zhao, Q. Lin, J. Liu
ACL 2026
Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents
Y. Li, W. Guo, L. Zhang, R. Xu, M. Huang, H. Liu, L. Xu, Y. Xu, J. Liu
ACL 2026
GeoLaux: A Benchmark for Evaluating MLLMs Geometry Performance on Long-Step Problems Requiring Auxiliary Lines
Y. Fu, J. Zhu, L. Zhang, W. Wu, B. Zhao, S. Ma, Y. Zhang, J. Liu
ACL 2026
Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving
X. Zhang, Y. Wan, B. Zhang, Z. Yang, L. Zhang, B. Wei, J. Liu
ACL 2026
OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving
X. Zhang, B. Zhang, Y. Wan, L. Zhang, Y. Yao, B. Wei, Y. Wu, J. Liu
ACL 2026 Findings
AGT^AO: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality
P. Li, L. Zhang, Z. Gao, Y. Wu, Y. Dong, H. Liu, B. Wei, J. Liu
ACL 2026 Findings
MAXS: Meta-Adaptive Exploration with LLM Agents
J. Zhang, Z. Wang, Z. Wang, Y. He, H. Luo, L. Yuan, L. Zhang, R. Mao, Q. Lin, J. Liu
ACL 2026 Findings
PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving
Y. Dong, X. Zhang, L. Zhang, H. Lai, P. Li, B. Wei, Y. Wu, J. Liu
ACL 2026 Findings
2025
Journal
B2BGAN: A Backbone-to-Branches GAN-based Oversampling Approach for Class-Imbalanced Tabular Data
X. Wang, C. Wang, M. Wang, J. Liu, X. Guan
IEEE TKDE, 2025
When Multi-focus Image Fusion Meets Nonlinear Spiking Neural P Systems
B. Li, L. Zhang, T. Bao, Y. Lei, X. Zhang, J. Liu
IEEE TMM, 2025
GeoTree: A Dynamic Tree-based Geometry Problem Solver through LLM-Symbolic Reasoning
Y. Wang, B. Wei, Y. Ma, L. Zhang, X. Jiang, H. Ding, J. Liu
IEEE TMM, 2025
Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs
W. Wu, L. Zhang, J. Liu, M. Ren, X. Hu, J. Wang, Q. Wang
Pattern Recognition, 2025
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels
H. Han, M. Luo, H. Liu, F. Nan, J. Liu
IEEE TNNLS, 2025
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
F. Xu, Q. Lin, J. Han, T. Zhao, J. Liu, E. Cambria
IEEE TKDE, 2025
Machine Memory Intelligence: Inspired by Human Memory Mechanisms
Q. Zheng, H. Liu, X. Zhang, C. Yan, X. Cao, T. Gong, Y. Liu, B. Shi, Z. Peng, X. Fan, Y. Cai, J. Liu
Engineering, 2025
LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory
L. Zhang, W. Wu, J. Liu, X. Chang, X. Hu, X. Luo, Y. Wu, Q. Zheng
IEEE TPAMI, 2025
Conference
CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
X. Zhang, Y. Dong, L. Zhang, C. Jia, Z. Dang, B. Fernando, J. Liu, M. Shou
NeurIPS 2025
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
M. Huang, L. Zhang, J. Ma, H. Lai, F. Xu, Y. Li, W. Wu, Y. Wu, J. Liu
NeurIPS 2025
Deliberation on Priors: Trustworthy Reasoning of LLMs on Knowledge Graphs
J. Ma, N. Qu, Z. Gao, X. Rui, J. Liu, H. Pei, J. Xie, L. Song, P. Wang, J. Tao, S. Zhou
NeurIPS 2025
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
W. Wu, L. Zhang, B. Zhao, M. Huang, Q. Wang, J. Liu
NeurIPS 2025
Diagram-driven course questions generation
X. Zhang, L. Zhang, Y. Wu, M. Huang, W. Wu, B. Li, S. Wang, B. Fernando, J. Liu
EMNLP 2025
Cognitive Predictive Coding Network: Rethinking the Generalization in Raven Progressive Matrices
X. Zhang, L. Zhang, Y. Wu, M. Huang, J. Liu
ACM MM 2025
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
F. Xu, Q. Sun, K. Cheng, J. Liu, Y. Qiao, Z. Wu
ACL 2025
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
F. Xu, H. Yan, C. Ma, H. Zhao, Q. Sun, K. Cheng, J. He, J. Liu, Z. Wu
ACL 2025
Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
F. Xu, H. Yan, C. Ma, H. Zhao, J. Liu, Q. Lin, Z. Wu
ACL 2025
PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning
X. Zhang, Y. Dong, Y. Wu, J. Huang, C. Jia, B. Fernando, M. Shou, L. Zhang, J. Liu
ACL 2025
SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
Y. Li, L. Zhang, H. Yan, T. Zhao, Z. Ma, M. Huang, J. Liu
KDD 2025
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction
L. Song, X. Sun, X. Gan, Y. Pan, X. Han, J. Ma, J. Liu, X. Shang
IJCAI 2025
GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering
Y. Wang, B. Wei, J. Liu, L. Zhang, S. He, J. Li, Q. Lin
SIGIR 2025
Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis
T. Zhao, J. Chen, Y. Ru, Q. Lin, Y. Geng, H. Zhu, Y. Pan, J. Liu
SIGIR 2025
ResoFilter: Fine-grained Synthetic Data Filtering for LLMs through Data-Parameter Resonance Analysis
Z. Tu, X. Meng, Y. He, Z. Yao, T. Qi, J. Liu, M. Li
NAACL 2025
Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under LLM Supervision
Y. Pan, J. Hong, T. Zhao, L. Song, J. Liu, X. Shang
WWW 2025
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models
J. Ma, Z. Gao, Q. Chai, W. Sun, P. Wang, H. Pei, J. Tao, L. Song, J. Liu, C. Zhang, L. Cui
AAAI 2025
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
M. Huang, H. Lai, X. Zhang, W. Wu, J. Ma, L. Zhang, J. Liu
AAAI 2025
VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning
M. Huang, L. Zhang, H. Lai, W. Wu, X. Zhang, J. Liu
AAAI 2025
📎 2024 及更早论文（点击展开全部）
2024
Journal
TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction
L. Zhang, Y. Zhong, Q. Zheng, J. Liu, Q. Wang, J. Wang, X. Chang
IEEE TPAMI, 2024
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
J. Ma, P. Wang, D. Kong, Z. Wang, J. Liu, H. Pei, J. Zhao
IEEE TPAMI, 2024
Alignment Relation is What You Need for Diagram Parsing
X. Zhang, L. Zhang, X. Hu, J. Liu, S. Wang, Q. Wang
IEEE TIP, 2024
Context-Aware Commonsense Knowledge Graph Reasoning with Path-Guided Explanations
Y. Pan, J. Liu, T. Zhao, L. Zhang, Q. Wang
IEEE TKDE, 2024
FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction
L. Zhang, Y. Li, Q. Wang, Y. Wang, H. Yan, J. Wang, J. Liu
IEEE TKDE, 2024
RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation
H. Zeng, B. Wei, J. Liu
Knowledge-Based Systems, 2024
Interest-Driven Community Detection on Attributed Heterogeneous Information Networks
M. Liu, J. Liu, Y. Dong, R. Mao, E. Cambria
Information Fusion, 2024
Multi-View Cognition with Path Search for One-Shot Part Labeling
S. Wang, L. Zhang, T. Qin, J. Liu, Y. Li, Q. Wang, Q. Zheng
CVIU, 2024
Learning Path Recommendation with Multi-behavior User Modeling and Cascading Deep Q Networks
D. Ma, H. Zhu, S. Liao, Y. Chen, J. Liu, F. Tian, P. Chen
Knowledge-Based Systems, 2024
Learnable Convolutional Attention Network for Knowledge Graph Completion
B. Shang, Y. Zhao, J. Liu
Knowledge-Based Systems, 2024
Knowledge Graph Representation Learning with Relation-guided Aggregation and Interaction
B. Shang, Y. Zhao, J. Liu
Information Processing and Management, 2024
Conference
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
J. Ma, M. Hu, P. Wang, W. Sun, L. Song, H. Pei, J. Liu, Y. Du
NeurIPS 2024
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
W. Fu, B. Wei, J. Hu, Z. Kai, J. Liu
EMNLP 2024
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models
J. Wang, L. Zhang, W. Lee, Y. Zhong, L. Kang, J. Liu
ACL 2024
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering
F. Xu, Q. Lin, T. Zhao, J. Han, J. Liu
ACL 2024
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
F. Xu, Z. Wu, Q. Sun, S. Ren, F. Yuan, Y. Qiao, J. Liu
ACL 2024
Untargeted Adversarial Attack on Knowledge Graph Embeddings
T. Zhao, J. Chen, Y. Ru, Q. Lin, Y. Geng, J. Liu
SIGIR 2024
E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator
W. Wu, L. Zhang, J. Liu, X. Tang, Y. Wang, S. Wang, Q. Wang
CVPR 2024
CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering
S. Wang, L. Zhang, L. Zhu, T. Qin, K. Yap, X. Zhang, J. Liu
CVPR 2024
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
J. Zhang, C. Yang, H. Zhu, Q. Lin, F. Xu, J. Liu
COLING 2024
A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction
Y. Pan, J. Liu, T. Zhao, L. Zhang, Y. Lin, J. Dong
WWW 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for KG Completion
B. Shang, Y. Zhao, J. Liu, D. Wang
AAAI 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
B. Shang, Y. Zhao, J. Liu, D. Wang
AAAI 2024
2023
Journal
Diagram Perception Networks for Textbook Question Answering via Joint Optimization
J. Ma, J. Liu, Q. Chai, P. Wang, J. Tao
IJCV, 2023
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text
F. Xu, J. Liu, Q. Lin, T. Zhao, J. Zhang, L. Zhang
IEEE TNNLS, 2023
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning
C. Wang, P. Wang, T. Qin, C. Wang, X. Guan, J. Liu, K. Chang
IEEE TNNLS, 2023
DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering
Y. Wang, B. Wei, J. Liu, L. Zhang, J. Wang, Q. Wang
IEEE TIP, 2023
XTQA: Span-Level Explanations for Textbook Question Answering
J. Ma, Q. Chai, J. Liu, Q. Yin, P. Wang, Q. Zheng
IEEE TNNLS, 2023
Incorporating Logic Rules with Textual Representations for Interpretable Knowledge Graph Reasoning
Y. Pan, J. Liu, L. Zhang, Y. Huang
Knowledge-Based Systems, 2023
MoCA: Incorporating Domain Pretraining and Cross Attention for Textbook Question Answering
F. Xu, Q. Lin, J. Liu, L. Zhang, T. Zhao, Q. Chai, Y. Pan, Y. Huang, Q. Wang
Pattern Recognition, 2023
Dynamic Dual Graph Networks for Textbook Question Answering
Y. Wang, J. Liu, J. Ma, H. Zeng, L. Zhang, J. Li
Pattern Recognition, 2023
RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation
L. Zhang, X. Zhang, Q. Wang, W. Wu, X. Chang, J. Liu
IEEE TCSVT, 2023
Conference
GBTTE: Graph Attention Network Based Bus Travel Time Estimation
Y. Rong, J. Yao, J. Liu, et al.
CIKM 2023
B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning
M. Liu, Y. Lin, J. Liu, B. Liu, Q. Zheng, J. Dong
KDD 2023
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion
B. Shang, Y. Zhao, D. Wang, J. Liu
SIGIR 2023
GPTR: Gestalt-Perception Transformer for Diagram Object Detection
X. Hu, L. Zhang, J. Liu, J. Fan, Y. You, Y. Wu
AAAI 2023
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention
X. Hu, L. Zhang, J. Liu, Y. You, Y. Wu
IJCAI 2023
Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation
H. Zeng, J. Liu, B. Wei, W. Fu
ACL 2023
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning
Q. Lin, J. Liu, R. Mao, F. Xu, E. Cambria
ACL 2023
2022
Journal
Spatial-Semantic Collaborative Graph Network for Textbook Question Answering
Y. Wang, B. Wei, J. Liu, Q. Lin, L. Zhang, Y. Wu
IEEE TCSVT, 2022
TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction
J. Wang, L. Zhang, J. Liu, K. Ma, W. Wu, X. Zhao, Y. Wu, Y. Huang
IEEE TNNLS, 2022
Fusing Topology Contexts and Logical Rules in Language Models for KG Completion
Q. Lin, R. Mao, J. Liu, F. Xu, E. Cambria
Information Fusion, 2022
Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-source Data
Y. Rong, Z. Xu, J. Liu, et al.
IEEE TITS, 2022
Answering Knowledge-based Visual Questions via the Exploration of Question Purpose
L. Song, J. Li, J. Liu, Y. Yang, X. Shang, M. Sun
Pattern Recognition, 2022
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection
L. Zhang, X. Chang, J. Liu, M. Luo, Z. Li, L. Yao, A. Hauptmann
IEEE TPAMI, 2022
Weakly Supervised Learning for Textbook Question Answering
J. Ma, Q. Chai, J. Huang, J. Liu, Y. You, Q. Zheng
IEEE TIP, 2022
Multistructure Contrastive Learning for Event Representation
J. Zheng, F. Cai, J. Liu, Y. Ling, H. Chen
IEEE TNNLS, 2022
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification
L. Zhang, S. Wang, J. Liu, X. Chang, Q. Lin, Y. Wu, Q. Zheng
IEEE TKDE, 2022
Conference
Generating Relevant and Informative Questions for Open-domain Conversations
Y. Ling, F. Cai, J. Liu, H. Chen, M. de Rijke
ACM TOIS, 2022
Computer Science Diagram Understanding with Topology Parsing
S. Wang, L. Zhang, X. Luo, Y. Yang, X. Hu, T. Qin, J. Liu
ACM TKDD, 2022
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations
Y. Pan, J. Liu, L. Zhang, T. Zhao, Q. Lin, X. Hu, Q. Wang
EMNLP 2022
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering
J. Wang, L. Zhang, J. Liu, L. Xi, Y. Zhong, Y. Wu
EMNLP 2022
BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-Task Learning
Y. Rong, J. Liu, Z. Xu, J. Ding, C. Zhang, J. Gao
ECML-PKDD 2022
Incorporating Prior Type Information for Few-shot Knowledge Graph Completion
S. Yao, T. Zhao, F. Xu, J. Liu
APWeb-WAIM 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
F. Xu, J. Liu, Q. Lin, Y. Pan, L. Zhang
SIGIR 2022
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction
Q. Lin, J. Liu, F. Xu, Y. Pan, Y. Zhu, L. Zhang, T. Zhao
SIGIR 2022
2021
Journal
Contrastive Graph Representations for Logical Formulas Embedding
Q. Lin, J. Liu, L. Zhang, Y. Pan, X. Hu, F. Xu, H. Zeng
IEEE TKDE, 2021
Keep and Select: Improving Hierarchical Context Modeling for Multi-turn Response Generation
Y. Ling, F. Cai, J. Liu, H. Chen, M. de Rijke
IEEE TNNLS, 2021
Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model
X. Hu, L. Zhang, J. Liu, Q. Zheng, J. Zhou
IEEE TIP, 2021
Multi-Task Learning for Visual Question Answering
J. Ma, J. Liu, Q. Lin, B. Wu, Y. Wang, Y. You
IEEE TNNLS, 2021
Relation-aware Fine-grained Reasoning Network for Textbook Question Answering
J. Ma, J. Liu, Y. Wang, J. Li, T. Liu
IEEE TNNLS, 2021
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning
L. Zhang, S. Wang, X. Chang, J. Liu, Z. Ge, Q. Zheng
IEEE TCSVT, 2021
Conference
Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning
Q. Lin, J. Liu, Y. Pan, L. Zhang, X. Hu, J. Ma
Information Sciences, 2021
CSDQA: Diagram Question Answering in Computer Science
S. Wang, L. Zhang, Y. Yang, X. Hu, T. Qin, B. Wei, J. Liu
CCKS 2021
Reliable Recommendation with Review-level Explanations
Y. Lyu, H. Yin, J. Liu, M. Liu, H. Liu, S. Deng
ICDE 2021
知识森林：理论、方法与实践
郑庆华, 刘均, 魏笔凡, 张玲玲
科学出版社, 2021
2020
Journal
Weakly Supervised Group Mask Network for Object Detection
L. Song, J. Liu, M. Sun, X. Shang
IJCV, 2020
Faceted Text Segmentation via Multi-Task Learning
B. Wu, B. Wei, J. Liu, K. Wu, M. Wang
IEEE TNNLS, 2020
Few-Shot Activity Recognition with Cross-Modal Memory Network
L. Zhang, X. Chang, J. Liu, M. Luo, A. Hauptmann
Pattern Recognition, 2020
Conference
Fine-grained 3D-Attention Prototypes for Few-Shot Learning
X. Hu, J. Liu, J. Ma, Y. Pan, L. Zhang
Neural Computation, 2020
ZSTAD: Zero-Shot Temporal Activity Detection
L. Zhang, X. Chang, J. Liu, S. Wang, Z. Ge, M. Luo, A. Hauptmann
CVPR 2020
2019
Journal
Deep Top-k Ranking for Image-Sentence Matching
L. Zhang, M. Luo, J. Liu, X. Chang, Y. Yang, A. Hauptmann
IEEE TMM, 2019
Scheduled Sampling for One-Shot Learning via Matching Network
L. Zhang, J. Liu, M. Luo, X. Chang, Q. Zheng, A. Hauptmann
Pattern Recognition, 2019
AHNG: Representation Learning on Attributed Heterogeneous Network
M. Liu, J. Liu, Y. Chen, H. Chen, M. Wang, Q. Zheng
Information Fusion, 2019
Conference
Knowledge Forest: A Novel Model to Organize Knowledge Fragments
Q. Zheng, J. Liu, H. Zeng, Z. Guo, B. Wu, B. Wei
Science China Information Sciences, 2019
Jointly Optimized Neural Coreference Resolution with Mutual Attention
J. Ma, J. Liu, Y. Li, X. Hu, Y. Pan, S. Sun, Q. Lin
WSDM 2019
2018
Journal
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification
L. Song, J. Liu, B. Qian, M. Sun
IEEE TIP, 2018
Android Malware Familial Classification via Frequent Subgraph Analysis
M. Fan, J. Liu, X. Luo, K. Chen, Z. Tian, Q. Zheng, T. Liu
IEEE TIFS, 2018
Graph Embedding based Query Construction over Knowledge Graphs
R. Wang, M. Wang, J. Liu
IEEE ICBK 2018
Conference
Facet Annotation by Extending CNN with a Matching Strategy
B. Wu, B. Wei, J. Liu, Z. Guo, Y. Zheng, Y. Chen
Neural Computation, 2018
Graph Embedding based Familial Analysis of Android Malware
M. Fan, X. Luo, J. Liu, M. Wang, C. Nong, Q. Zheng, T. Liu
ICSE 2019
CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis
M. Fan, X. Luo, J. Liu, C. Nong, Q. Zheng, T. Liu
NASAC 2018
Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding
M. Wang, R. Wang, J. Liu, Y. Chen, L. Zhang, G. Qi
ISWC 2018
2017
Journal
DAPASA: Detecting Android Piggybacked Apps through Sensitive Subgraph Analysis
M. Fan, J. Liu, W. Wang, H. Li, Z. Tian, T. Liu
IEEE TIFS, 2017
Knowledge Engineering with Big Data (BigKE)
X. Wu, H. Chen, J. Liu, G. Wu, R. Lu, N. Zheng
IEEE Access, 2017
Conference
Internet Traffic Classification Based on Expanding Vector of Flow
L. Ding, J. Liu, T. Qin, H. Li
Computer Networks, 2017
2016
Journal
Faceted Fusion of RDF Data
W. Liu, J. Liu, M. Wang, Q. Zheng, W. Zhang, L. Song, S. Yao
Information Fusion, 2015
Motif-based Hyponym Relation Extraction from Wikipedia Hyperlinks
B. Wei, J. Liu, J. Ma, Q. Zheng, W. Zhang, B. Feng
IEEE TKDE, 2014
Topological Analysis of Knowledge Maps
J. Liu, J. Wang, Q. Zheng, W. Zhang, L. Jiang
Knowledge-Based Systems, 2012
Conference
Sparse Multi-Modal Topical Coding for Image Annotation
L. Song, M. Luo, J. Liu, L. Zhang, H. Li, Q. Zheng
Neurocomputing, 2016
Frequent Subgraph based Familial Classification of Android Malware
M. Fan, J. Liu, X. Luo, K. Chen, T. Chen, Z. Tian, X. Zhang, T. Liu
ISSRE 2016
Mining Learning-Dependency between Knowledge Units from Text
J. Liu, L. Jiang, Z. Wu, Q. Zheng
VLDB Journal, 2011
Faceted Exploring for Domain Knowledge over Linked Open Data
M. Wang, J. Liu, W. Liu, Q. Zheng, W. Zhang, L. Song, S. Yao
CIKM 2014
DFT-extractor: A System to Extract Domain-specific Faceted Taxonomies from Wikipedia
B. Wei, J. Liu, J. Ma, Q. Zheng, W. Zhang, B. Feng
WWW 2013