Xingzhi Guo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Anomaly Detection

Formal Verification

Lexical Features

Top Venues

Publications

Xingzhi Guo, Dakota Handzlik, Jason J. Jones, Steven S. Skiena
The Evolution of Occupational Identity in Twitter Biographies. ICWSM (2024)
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. ICDM (Workshops) (2023)
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
Accelerating Personalized PageRank Vector Computation. CoRR (2023)
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
Accelerating Personalized PageRank Vector Computation. KDD (2023)
Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena
Provable Fairness for Neural Network Models Using Formal Verification. EWAF (2023)
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. CoRR (2023)
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
COMET: Convolutional Dimension Interaction for Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Anomaly Tracking over Large Dynamic Graphs. CoRR (2022)
Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena
Provable Fairness for Neural Network Models using Formal Verification. CoRR (2022)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Anomaly Tracking over Large Dynamic Graphs. KDD (2022)
Syed Fahad Sultan, Xingzhi Guo, Steven Skiena
Low-dimensional genotype embeddings for predictive models. BCB (2022)
Xingzhi Guo, Steven Skiena
Hierarchies over Vector Space: Orienting Word and Graph Embeddings. CoRR (2022)
Xingzhi Guo, Brian Kondracki, Nick Nikiforakis, Steven Skiena
Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets. WWW (2022)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Representation Learning over Large Dynamic Graphs. CoRR (2021)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Representation Learning over Large Dynamic Graphs. KDD (2021)
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. CoRR (2020)
Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy
Improving Device Directedness Classification of Utterances with Semantic Lexical Features. CoRR (2020)
Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy
Improving Device Directedness Classification of Utterances With Semantic Lexical Features. ICASSP (2020)
Xingzhi Guo, Yu-Cian Huang, Edwinn Gamborino, Shih-Huan Tseng, Li-Chen Fu, Su-Ling Yeh
Inferring Human Feelings and Desires for Human-Robot Trust Promotion. HCI (11) (2019)