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Xingzhi Guo
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2020 – today
- 2024
- [c10]Xingzhi Guo, Dakota Handzlik, Jason J. Jones
, Steven S. Skiena:
The Evolution of Occupational Identity in Twitter Biographies. ICWSM 2024: 502-514 - [i9]Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao:
Iterative Methods via Locally Evolving Set Process. CoRR abs/2410.15020 (2024) - 2023
- [j1]Zhuoyi Lin
COMET: Convolutional Dimension Interaction for Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 14(4): 59:1-59:18 (2023) - [c9]Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena:
Provable Fairness for Neural Network Models Using Formal Verification. EWAF 2023 - [c8]Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang:
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. ICDM (Workshops) 2023: 1178-1185 - [c7]Zhen Chen
Accelerating Personalized PageRank Vector Computation. KDD 2023: 262-273 - [i8]Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena:
Accelerating Personalized PageRank Vector Computation. CoRR abs/2306.02102 (2023) - [i7]Chi Zhang, Wenkai Xiang
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. CoRR abs/2312.10504 (2023) - 2022
- [c6]Syed Fahad Sultan, Xingzhi Guo, Steven Skiena
Low-dimensional genotype embeddings for predictive models. BCB 2022: 52:1-52:4 - [c5]Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Anomaly Tracking over Large Dynamic Graphs. KDD 2022: 475-485 - [c4]Xingzhi Guo, Brian Kondracki, Nick Nikiforakis, Steven Skiena
Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets. WWW 2022: 588-598 - [i6]Xingzhi Guo, Baojian Zhou, Steven Skiena:
Subset Node Anomaly Tracking over Large Dynamic Graphs. CoRR abs/2205.09786 (2022) - [i5]Xingzhi Guo, Steven Skiena:
Hierarchies over Vector Space: Orienting Word and Graph Embeddings. CoRR abs/2211.01430 (2022) - [i4]Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena:
Provable Fairness for Neural Network Models using Formal Verification. CoRR abs/2212.08578 (2022) - 2021
- [c3]Xingzhi Guo, Baojian Zhou, Steven Skiena:
Subset Node Representation Learning over Large Dynamic Graphs. KDD 2021: 516-526 - [i3]Xingzhi Guo, Baojian Zhou, Steven Skiena:
Subset Node Representation Learning over Large Dynamic Graphs. CoRR abs/2106.01570 (2021) - 2020
- [c2]Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy:
Improving Device Directedness Classification of Utterances With Semantic Lexical Features. ICASSP 2020: 7859-7863 - [i2]Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu:
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. CoRR abs/2007.14129 (2020) - [i1]Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy:
Improving Device Directedness Classification of Utterances with Semantic Lexical Features. CoRR abs/2010.01949 (2020)
2010 – 2019
- 2019
- [c1]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: 365-375
Coauthor Index
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