1. Guanglin Niu, Bo Li. Logic and Commonsense-Guided Temporal Knowledge Graph Completion. AAAI 2023 (CCF A, Top Conference). Long Paper. [Paper] [Code]

1. Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu. CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion. ACL 2022 (CCF A, Top Conference). Long Paper. [Paper] [Code]

2. Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu. Joint Semantics and Data-Driven Path Representation for Knowledge Graph Reasoning. Neurocomputing (Q1 SCI, IF: 5.719). [Paper]

3. Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu. Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference. COLING 2022 (CCF B, Top Conference). Long Paper. [Paper] [Code]

1. Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si. Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. SIGIR 2021 (CCF A, Top Conference). Long paper. [Paper] [Code]

2. Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu. Entity Concept Enhanced Few-Shot Relation Extraction. ACL 2021 (CCF A, Top Conference). Short paper. [Paper] [Code]

3. Guanglin Niu, Yang Li, et al. Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings. Preprint Arxiv. [Paper]

1. Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li and Xiaowei Zhang. Rule-Guided Compositional Representation Learning on Knowledge Graphs. AAAI 2020 (CCF A, Top Conference). Long paper (Spotlight). [Paper] [Code]

2. Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu and Jingyang Li. AutoETER: Automated Entity Type Representation with Relation-Aware Attention for Knowledge Graph Embedding. EMNLP 2020 Findings (CCF B, Top Conference). Long paper. [Paper] [Code]

1. Ming Xin, Jin Zheng, Bo Li, Guanglin Niu and Miaohui Zhang. Real-time object tracking via self-adaptive appearance modeling. Neurocomputing. Q1, IF: 5.719. [Paper]

1. 李晶阳, 牛广林, 唐呈光, 余海洋, 李杨, 付彬, 孙健. 万字综述：行业知识图谱构建最新进展. PaperWeekly. [Paper]

2. 李杨, 李晶阳, 牛广林, 唐呈光, 付彬, 余海洋, 孙健. 知识表示与融入技术前沿进展及应用. PaperWeekly. [Paper]

1. 牛广林, 李波, 张永飞, 李晶阳. 一种结合规则和路径的知识图谱组合表示学习方法. 国家发明专利. 已授权. 201910185467.0.

2. 李波, 牛广林, 张永飞, 李晶阳. 一种引入实体类型自动化表示的知识图谱嵌入与推理方法. 国家发明专利. 已授权. 202010135936.0.

3. 李晶阳, 李波, 张永飞, 牛广林, 孙悦. 基于图卷积神经网络的强化学习知识图谱推理方法及装置. 国家发明专利. 已受理. 202010333094.X.

1. Qinglei Hu, Guanglin Niu, et al. Spacecraft Attitude Fault-Tolerant Control Based on Iterative Learning Observer and Control Allocation. Aerospace Science and Technology, 245-253. Q1 SCI, Top Journal.

2. Qinglei Hu, Guanglin Niu. Attitude Output Feedback Control for Rigid Spacecraft with Finite-Time Convergence. ISA transactions, (70) 173-186. Q1 SCI, Top Journal.

3. Guanglin Niu, Qinglei Hu, Lei Guo. Iterative Disturbance Observer Design for Spacecraft Fault-Tolerant Control with Actuator Failure. 36th Chinese Control Conference (CCC), 2017. EI.

4. Guanglin Niu, Qinglei Hu. Robust Finite-Time Observer Design for Rigid Spacecraft with Reaction Wheel Friction. 35th Chinese Control Conference (CCC), 2016. EI.

5. Qinglei Hu, Xingxing Zhang, Guanglin Niu. Observer-Based Fault Tolerant Control and Experimental Verification for Rigid Spacecraft. Aerospace Science and Technology, (92) 373-386. Q1 SCI, Top Journal.

6. 胡庆雷, 牛广林, 等. 一种基于迭代学习干扰观测器的航天器姿态容错控制方法. 国家发明专利. 已授权. CN201710379752.7.

7. 胡庆雷, 牛广林, 等. 集成故障观测器和控制分配策略的航天器姿态容错控制方法. 国家发明专利. 已授权. CN201910158638.0.

RPJE
AutoETER
CAKE

CookBook-KG
Visualization and Retrieval System of Chinese Cookbook Knowledge Graph
WeChat Mini Program of Chinese CookBook Knowledge Base Question Answering System

Temporal-and-Evolving-KG

Oct, 2022: 【MLNLP学术Talk】第12期-北航牛广林-具有可解释性的神经符号知识图谱推理. MLNLP
Apr, 2022: ACL预讲3 (Video From 17:15). AI Time
Dec, 2020: 自动化学习实体类型表示的知识图谱嵌入方法. Student Forums on Frontiers of Artificial Intelligence (SFFAI)
Apr, 2020: 规则引导的知识图谱组合式表示学习. Student Forums on Frontiers of Artificial Intelligence (SFFAI)
Dec, 2019: Rule-Guided Compositional Representation Learning on Knowledge Graphs. Alibaba Group
Dec, 2018: 知识图谱表示学习综述 (A Survery of Knowledge Graph Representation Learning). Colab, Beihang University
Oct, 2018: 知识图谱推理之表示学习 (Knowledge Graph Embedding). Institute of Automation，Chinese Academy of Sciences

AI Time: 常识和事实联合驱动的知识图谱推理框架
人工智能前沿讲习: 【活动通知】SFFAI93×CRIPAC 知识图谱专题
专知: 近期必读的六篇 EMNLP 2020【知识图谱】相关论文和代码
人工智能前沿学生论坛: SFFAI分享 | 牛广林：规则引导的知识图谱组合式表示学习【附PPT与视频资料】
雷锋网: AAAI 2020 | 这 10 篇论文值得你了解（附PPT下载）
开放知识图谱: 论文浅尝 | AAAI2020 - 基于规则的知识图谱组合表征学习

School of Computer Science and Engineering,

School of Automation Science and Electrical Engineering,

Department of Automation,

School of Management and Economics,

Knowledge Graph

Outstanding Graduates. Beihang University.

National First Prize. The Futurelab Cup of Artificial Intelligence and Robotic Projects.

First-Class Scholarship, Beihang University.
Outstanding Graduate Student, Beihang University.

Second-Class Scholarship, Beihang University.
Outstanding Student Cadres, Beihang University.

Excellent Research Paper Scholarship, Beihang University.
Ph.D. Student Freshman Scholarship, Beihang University.

Second-Class Scholarship, Beihang University.

First-Class Scholarship, Beihang University.

First Prize of Freescale Smart Car Competition in North China, China.
First-Class Scholarship, Beijing Institute of Technology.
Second Prize of the Century Cup Science and Technology Innovation Competition, Beijing Institute of Technology.

First-Class Scholarship, Beijing Institute of Technology.
Excellent Youth League Member, Beijing Institute of Technology.
Merit Student, Beijing Institute of Technology.

Second-Class Scholarship, Beijing Institute of Technology.
Excellent Youth League Member, Beijing Institute of Technology.
Merit Student, Beijing Institute of Technology.

Independent Recruitment, Beijing Institute of Technology.

Third Prize of Chemistry Competition, Gansu.