Xianfeng Tang

Scientist

Amazon Search

Amazon Inc.

Hello!

I am an Applied Scientist in Amazon Search Query Understanding team. I obtained my PhD degree from College of IST, the Pennsylvania State University. I was very fortunate to have been advised by Dr. Prasenjit Mitra and Dr. Suhang Wang. Prior to this, I received my Bachelor of Engineering degree from Computer Science Department, University of Science and Technology of China.

My research interests are machine learning, data mining, knowledge graph, graph neural networks, search & recommendation, and AutoML. Our team is hiring interns for 2022 (spring, summer, and autumn). If you are interested in working with us, please email me with your CV.

Interests

Machine Learning
Data Mining
Graph-structured Data

Education

PhD in College of IST, 2016 - 2020

Pennsylvania State University
BEng in Computer Science, 2012 - 2016

University of Science and Technology of China

News & Updates

01/2021: One paper is accepted to WWW 2021
07/2020: Two papers are accepted to CIKM 2020
05/2020: Two papers are accepted to KDD 2020
Website setup

Experiences

Applied Scientist II

Amazon

Jan 2021 – Present Palo Alto

Research Intern

Snap Inc.

Sep 2020 – Dec 2019 Santa Monica

Research Intern

Pinterest

May 2020 – Aug 2020 San Francisco

Research Intern

Snap Inc.

Sep 2019 – Dec 2019 Santa Monica

Research Intern

Bytedance

May 2019 – Aug 2019 Palo Alto

Research Intern

Intellifusion

May 2018 – Aug 2018 Shenzhen

Research Intern

Microsoft Research Asia

Jul 2015 – May 2016 Beijing

Publications

Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra, Suhang Wang (2020). Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. Proceedings of the 2020 ACM on Conference on Information and Knowledge Management.

Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang (2020). Semi-Supervised Graph-to-Graph Translation. Proceedings of the 2020 ACM on Conference on Information and Knowledge Management.

Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang (2020). Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang (2020). Graph Structure Learning for Robust Graph Neural Networks. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant Honavar (2020). Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. Proceedings of The Web Conference 2020.

Kai Chen, Yanwei Yu, Peng Song, Xianfeng Tang, Lei Cao, Xiangrong Tong (2020). Find you if you drive: Inferring home locations for vehicles with surveillance camera data. Knowledge-Based Systems.

Peng Lv, Yanwei Yu, Yangyang Fan, Xianfeng Tang, Xiangrong Tong (2020). Layer-constrained variational autoencoding kernel density estimation model for anomaly detection. Knowledge-Based Systems.

Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra, Suhang Wang (2020). Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. AAAI Conference on Artificial Intelligence (AAAI).

Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang (2020). Transferring Robustness for Graph Neural Network Against Poisoning Attacks. ACM International Conference on Web Search and Data Mining (WSDM).

Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li (2019). A simple baseline for travel time estimation using large-scale trip data. ACM Transactions on Intelligent Systems and Technology (TIST).

Yanwei Yu*, Xianfeng Tang*, Huaxiu Yao, Xiuwen Yi, Zhenhui Li (*equal contribution) (2019). Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Transactions on Big Data.

Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang (2019). Joint modeling of dense and incomplete trajectories for citywide traffic volume inference. The World Wide Web Conference.

Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li (2019). Learning from multiple cities: A meta-learning approach for spatial-temporal prediction. The World Wide Web Conference.

Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant Honavar (2019). MEGAN: a generative adversarial network for multi-view network embedding. IJCAI'19 Proceedings of the 28th International Joint Conference on Artificial Intelligence.

Huaxiu Yao*, Xianfeng Tang*, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li (*equal contribution) (2019). Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI Conference on Artificial Intelligence, 2019.

Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li (2018). Deep multi-view spatial-temporal network for taxi demand prediction. Thirty-Second AAAI Conference on Artificial Intelligence.

Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li (2018). Representation learning for large-scale dynamic networks. International Conference on Database Systems for Advanced Applications.