Jiani Zhang

张佳妮


: jennyzhang0215 AT gmail DOT com
: My Github
: My Google Scholar

About Me

I obtained Ph.D. degree in the Department of Computer Science and Engineering from the Chinese University of Hong Kong in 2020. My Ph.D. supervisor was Prof. Irwin King. Before that, I received my B.E. degree from Shanghai Jiao Tong University in 2015 under the supervision of Prof. Kenny Q. Zhu and Prof. Shi-Lin Wang. Now, I'm an applied scientist of AWS AI Research and Education (AIRE) and is working on solving real-world applications using machine learning algorithms, especially natural language and graph related problems.

Research Interest

Machine Learning and Deep Learning
Graph Representation Learning
Recommender Systems
Education AI

Working Experiences

2021.08 - Now	Applied Scientist in AWS	CA, USA
2020.12 - 2021.04	Applied Scientist in Tencent	Shanghai, China

Selected Publications

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun

Proceedings of The Web Conference, 2023

[paper] [project page]
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding.

Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King

Proceedings of The Web Conference, 2020

[paper] [project page]
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems.

Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King

Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI), 2019.

[paper] [project page]
Title-Guided Encoding for Keyphrase Generation.

Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R Lyu

The Thirty-Third AAAI Conference on Artificial Intelligence, 2019.

[paper]
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.

Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung

The Conference on Uncertainty in Artificial Intelligence (UAI), 2018.

[paper] [project page]
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network.

Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management(CIKM), 2017.

[paper]
Dynamic Key-Value Memory Networks for Knowledge Tracing.

Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung

Proceedings of the 26th International Conference on World Wide Web (WWW), 2017.

[paper] [project page]

Academic Service

Conference Reviewer: AAAI 2021, IJCAI 2021, AAAI 2020, AAAI 2019, CIKM 2020, ICONIP 2020
Journal Reviewer:
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- IEEE Transactions on Signal Processing (T-SP)
- Computational Intelligence (COIN)
- Neurocomputing (NEUCOM)
- Neural Networks (NEUNET)
- Applied Computing and Informatics (ACI)

Presentations

Tutorial: Deep Learning on Graphs: Methods and Applications. The 27th International Conference on Neural Information Processing (ICONIP), Online, Nov. 22, 2020.

[Slides][Links]
Dynamic Key-Value Memory Networks for Knowledge Tracing, The 4th Greater China MOOC Symposium (GCMS), Hong Kong, July 20, 2017.

[Slides]