Dong Yang

I am a research scientist at OPPO Research Institute working on NLP (large language model, knowledge graph reasoning), and complex networks (applications of graph theory, data science).

Bio: I received my Ph. D. from the Department of Electronic Engineering at City University of Hong Kong in 2019, where I was advised by Tommy W. S. Chow (Fellow, IEEE) and Guanrong Chen (Life Fellow, IEEE). After that, I was a postdoctoral scholar in the Management of Complex Systems (MCS) at University of California Merced from 2019 to 2021, where I was advised by Alex M. Pertersen and worked in his research group. As an undergraduate student, I received a B.S. degree in the Department of Electronics Information Science and Technology at China Agricultural University in 2013.

Research: My research interests include natural language processing and complex networks, especially graph neural networks, large language model, applications of graph theory and data science. I am mostly excited about developing new computational techniques with machine learning and complex networks to explore some universal patterns and fundamental mechanisms in many real systems. I am extremely interested in proposing simple methods to address complicated real-world scenarios.

Recent News:
Dec. 10. 2022 Our work, namely GammaE, is presented at EMNLP 2022 (oral).
Nov. 09. 2022 Our work CHAOS lead the CLUE benchmark.

CV Mail Scholar Github

Dong Yang and his wife.

Selected Publications

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs (Oral Presentation)
Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Project Page / Paper / Supplemental / Code /

@InProceedings{Dong2022EMNLP, 
	author = {Dong Yang and Peijun Qing and Yang Li and Haonan Lu and Xiaodong Lin}, 
	title = {GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs}, 
	booktitle = {Proc. of the Empirical Methods in Natural Language Processing (EMNLP)}, 
	year = {2022}, 
}

Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
Dong Yang, Monica Li, Hong Fu, Jicong Fan, Zhao Zhang, Howard Leung
IEEE Transaction on Image Processing, 2022
Project Page / Paper / Supplemental / Code /

@InProceedings{Dong2022IEEE, 
	author = {Dong Yang and Monica Li and Hong Fu and Jicong Fan and Zhao Zhang and Howard Leung}, 
	title = {Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition}, 
	booktitle = {IEEE Transaction on Image Processing}, 
	year = {2022}, 
}

Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities (Under review)
Dong Yang, Ioannis Pavlidis, Alexander Petersen
Under Review, 2021
Project Page / Paper / Supplemental / Code /

@InProceedings{Schwarz2022NEURIPS, 
	author = {Dong Yang and Ioannis Pavlidis and Alexander Petersen}, 
	title = {Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities}, 
	booktitle = {Under Review}, 
	year = {2021}, 
}

Henneberg Growth of Social Networks: Modeling the Facebook
Dong Yang, Mengyang Liu, Yichao Zhang, Dong Lin, Zhengping Fan, Guanrong Chen
IEEE Transaction on Network Science and Engineering, 2018
Project Page / Paper / Supplemental / Code /

@InProceedings{Dong2018EEE, 
	author = {Dong Yang and Mengyang Liu and Yichao Zhang and Dong Lin and Zhengping Fan and Guanrong Chen}, 
	title = {Henneberg Growth of Social Networks: Modeling the Facebook}, 
	booktitle = {IEEE Transaction on Network Science and Engineering}, 
	year = {2018}, 
}

True and fake information spreading over the Facebook
Dong Yang, Tommy Chow, Lu Zhong, Zhaoyang Tian, Qingpeng Zhang, Guanrong Chen
Physica A: Statistical Mechanics and its Applications, 2018
Project Page / Paper / Supplemental / Code /

@InProceedings{Dong2018PhysicaA, 
	author = {Dong Yang and Tommy Chow and Lu Zhong and Zhaoyang Tian and Qingpeng Zhang and Guanrong Chen}, 
	title = {True and fake information spreading over the Facebook}, 
	booktitle = {Physica A: Statistical Mechanics and its Applications}, 
	year = {2018}, 
}

Talks

Invited talk about Knowledge graph Reasoning at LOGS 2022.
LOGS, 2022
Slides

Invited talk about GammaE: Knowledge graph Reasoning at EMNLP 2022.
EMNLP, 2022
Slides

Academic Services
Reviewers
Journal: Nature Physics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Network Science and Engineering, IEEE Access, IEEE Transaction on Computational Social systems, Journal of Complex Networks, Neural Computing and Applications, IEEE Transactions on Multimedia, Physica A: Statistical Mechanics and its Applications
Conference: IJCAI, AAAI, ICLR, AMM, ICDM, NCAA, WebSci, International Conference on Industrial Informatics.

Teaching Experience
Course Lecturer, GreedyAI
Courses: Advanced topics in machine learning; Advanced natural language processing; Graph neural networks; Applications of knowledge graphs and information extraction.

Teaching Assistant, CityU 2017-2019
EE 1354: Introduction to Electronic Design (Java), Fall 2018, Spring 2019, Course Instructor: Dr. K. S. Tang
EE 2331: Data Structures and Algorithms (C/C++), Fall 2017, Spring 2018, Course Instructor: Dr. Derek C. W. Pao
EE6605: Complex Networks: Modeling, Dynamics and Control, Spring 2017, Course Instructor: Prof. Guanrong Chen
EE2203: Modelling Techniques (C/C++), Spring 2017, Course Instructor: Dr. K. L. Chan

Mentoring
Peijun Qing, Undergraduate student (2022.01-current) at Xidian University, now at OPPO Research Institute.

Former Members
Yang Li, Master student (2022.01-2022.08) at the Hong Kong Polytechnic University.
Monica Mengqi Li, Master student (2019.04-2021.12), now at Bishop’s University, Sherbrooke, Canada

For any inquiries, feel free to reach out to me via mail!