Homepage
YANG Menglin
Location: SHB 1024; The Chinese University of Hong Kong; Shatin, N.T., Hong Kong
Email: mlyang at cse.cuhk.edu.hk
GitHub: https://github.com/marlin-codes
About Me
I am third-year PhD student from the Department of Computer Science and Engineering;
The Chinese University of Hong Kong (CUHK) advised by Prof. Irwin King. I am interested
in the (temporal) graph representation learning, hyperbolic/sphere/semi-Riemannian space
embedding, and machine learning theory. Currently, I focus on the following research topics:
- Graph theory for graph embedding
- Temporal network embedding
- Hyperbolic represenation learning
- Recommender system
- Knowledge graph
- Graph-based Drug discovery
Welcome outstanding undergraduates and Master/PhD students to visit our WISC laboratory
and cooperate with me for graph-related research. If you are interested, just drop an email
to me.
Recent Publications
-
[WebConf 2022] HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization (acceptance rate: 17.7%)
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
-
[KDD 2021] Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (acceptance rate: 15.4%) [pdf] [code]
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
-
[ICDM 2020] FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding (acceptance rate: 9.8%) [pdf] [code]
Menglin Yang, Ziqiao Meng, Irwin King
-
[WSDM 2022] Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (acceptance rate: 20.23%) [pdf][code]
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
-
[ICDE 2022] Discovering Representative Attribute-stars via Minimum Description Length.
Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Lujia Pan, Menglin Yang
-
[NeurIPS 2021 SSL workshop] Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Jiahong Liu*, Menglin Yang*, Min Zhou, Shanshan Feng, Philippe Fournier-Viger [pdf]
*The first two authors have equal contribution
Reviewer
- ICML 2022
- ICML 2021
- ICML 2020
- NeurIPS 2021
- ICLR 2022
- WebConf 2022
Teaching
- 2022 CSCI2100A Data Structure
- 2021 CSCI2100A Data Structure
- 2020 CSCI2100A Data Structure
- ENGG 2760A / ESTR 2018: Probability for Engineers
Homepage
YANG Menglin
Location: SHB 1024; The Chinese University of Hong Kong; Shatin, N.T., Hong Kong
Email: mlyang at cse.cuhk.edu.hk
GitHub: https://github.com/marlin-codes
About Me
I am third-year PhD student from the Department of Computer Science and Engineering;
The Chinese University of Hong Kong (CUHK) advised by Prof. Irwin King. I am interested
in the (temporal) graph representation learning, hyperbolic/sphere/semi-Riemannian space
embedding, and machine learning theory. Currently, I focus on the following research topics:
Welcome outstanding undergraduates and Master/PhD students to visit our WISC laboratory
and cooperate with me for graph-related research. If you are interested, just drop an email
to me.
Recent Publications
[WebConf 2022] HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization (acceptance rate: 17.7%)
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
[KDD 2021] Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (acceptance rate: 15.4%) [pdf] [code]
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
[ICDM 2020] FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding (acceptance rate: 9.8%) [pdf] [code]
Menglin Yang, Ziqiao Meng, Irwin King
[WSDM 2022] Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (acceptance rate: 20.23%) [pdf][code]
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
[ICDE 2022] Discovering Representative Attribute-stars via Minimum Description Length.
Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Lujia Pan, Menglin Yang
[NeurIPS 2021 SSL workshop] Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Jiahong Liu*, Menglin Yang*, Min Zhou, Shanshan Feng, Philippe Fournier-Viger [pdf]
*The first two authors have equal contribution
Reviewer
Teaching