Xingzhi Guo

According to our database, Xingzhi Guo authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast and Robust Contextual Node Representation Learning over Dynamic Graphs.

Xingzhi Guo, Silong Wang, Baojian Zhou, Yanghua Xiao, Steven Skiena

CoRR, 2024

Analyzing the Evolution of Graphs and Texts.

Xingzhi Guo

CoRR, 2024

Iterative Methods via Locally Evolving Set Process.

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao

CoRR, 2024

The Evolution of Occupational Identity in Twitter Biographies.

Xingzhi Guo, Dakota Handzlik, Jason J. Jones, Steven S. Skiena

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023

COMET: Convolutional Dimension Interaction for Collaborative Filtering.

Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu

ACM Trans. Intell. Syst. Technol., August, 2023

Accelerating Personalized PageRank Vector Computation.

Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs.

Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

Provable Fairness for Neural Network Models Using Formal Verification.

Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Hierarchies over Vector Space: Orienting Word and Graph Embeddings.

Xingzhi Guo, Steven Skiena

CoRR, 2022

Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets.

Xingzhi Guo, Brian Kondracki, Nick Nikiforakis, Steven Skiena

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Subset Node Anomaly Tracking over Large Dynamic Graphs.

Xingzhi Guo, Baojian Zhou, Steven Skiena

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Low-dimensional genotype embeddings for predictive models.

Syed Fahad Sultan, Xingzhi Guo, Steven Skiena

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

Subset Node Representation Learning over Large Dynamic Graphs.

Xingzhi Guo, Baojian Zhou, Steven Skiena

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.

Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu

CoRR, 2020

Improving Device Directedness Classification of Utterances With Semantic Lexical Features.

Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Inferring Human Feelings and Desires for Human-Robot Trust Promotion.

Xingzhi Guo, Yu-Cian Huang, Edwinn Gamborino, Shih-Huan Tseng, Li-Chen Fu, Su-Ling Yeh

Proceedings of the Cross-Cultural Design. Methods, Tools and User Experience, 2019