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Me in 2018, an unknown street in Manhattan	Something about me
	My name is Xingzhi (Jacky) Guo (郭,行之). I was born and raised in Lanxi. It's a charming tiny town, east-central China I spent 7 years in Taiwan 🎓🥟🧋🤤 Finished PhD in Long Island, New York 🗽🌆. Now working at Amazon in Bellevue, WA 🏞🌧 .

Graph representation learning, Deep learning applications for NLP/Dialogue Agent, Optimization

• Ph.D. in Computer Science, 2018.8 - 2023.5
  GPA 4.0/4.0; Supervised by Prof.Steven Skiena @Data Science Lab, Stony Brook University, New York
• M.S. in Computer Science and Information Engineering, 2015.9 - 2018.7
  GPA 3.9/4.0; Supervised by Prof.Li-Chen Fu @Intelligent Robot Lab, National Taiwan University, Taiwan
• B.S. in Telecommunication and Information Engineering, 2011.9 - 2015.7
  GPA 3.9/4.0; Supervised by Prof.Shu-Yin Chiang @Robotics Research Center, Ming Chuan University, Taiwan

• Applied Scientist (Full-time), 2023.7 - present
  @Artificial General Intelligence (previously Alexa AI), Amazon, Bellevue, WA
  • Topics: LLM for Proactive Agent and RecSys
• Applied Scientist (Intern), Summer 2019/2020/2021/2022
  @Alexa AI, Amazon, Seattle, WA
  • Topics: Dialogue directedness classification, Active learning, Pretraining (L)LM, Non-autoregressive (L)LM

• Program Committee LoG2023, KDD2022/23, CIKM2023, PAKDD2023/24, ICWSM2022/23

• Guo X., Handzlik D, Jones JJ., Skiena S., The Evolution of Occupational Identity in Twitter Biographies, The International AAAI Conference on Web and Social Media (ICWSM) 2024 (Long)
  • We collect and analyze the biography changes of 50 million Twitter users from 2015 to 2021, using their bios as a proxy for self-identity, with a focus on work identity.
• Zhang C., Xiang W., Guo X., Zhou B., Yang D., SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs, Workshop of Graph Learning on Graphs (MLoG) at The IEEE International Conference on Data Mining (ICDM) 2023.
• Chen Z., Guo X., Zhou B.*, Yang D., Skiena S., Accelerating Personalized PageRank Vector Computation, ACM Knowledge Discovery and Data Mining (KDD)2023 (Long)
  • Make faster PPR approximation by introducing theoretically justifiable three-line change. *:corresponding author
• Borca-Tasciuc G., Guo X., Bak S., Skiena S., Provable Fairness for Neural Network Models using Formal Verification, European Workshop on Algorithmic Fairness 2023 (Short)
  • Proposed fairness metrics using Formal Verification to evaluate the neural classifiers' fairness without any testing data sample
• Lin Z., Feng L., Guo X., Yin R., Kwoh CK., C Xu. "COMET: Convolutional Dimension Interaction for Deep Matrix Factorization." ACM Transactions on Intelligent Systems and Technology(2023)
• Sultan SF., Guo X., Skiena S., Low-Dimensional Genotype Embeddings for Predictive Models, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2022 (Short)
  • Embed ~100K-dimensional SNPs of human chromosomes to a few hundreds dimensions while preserving predictive power and privacy. 🧬
• Guo X., Zhou B., Skiena S., Subset Node Anomaly Tracking over Large Dynamic Graphs. ACM Knowledge Discovery and Data Mining (KDD)2022 (Long)
  • Fast algorithm to track both subset node/graph-level anomalies over large dynamic weighted graphs 😎
• Guo X., Kondracki B., Nikiforakis N., S., Skiena S., Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets, ACM Web Conference (WWW) 2022 (Long)
  • A cute investigation about why/how news agencies did post-publication modification 😀
• Guo X., Zhou B., Skiena S., Subset Node Representation Learning over Large Dynamic Graphs. ACM Knowledge Discovery and Data Mining (KDD)2021 (Long)
  • A very cool, useful non-deep fast learning algorithm for semi-novel practical graph learning problem 😎
• K Gillespie, I.C. Konstantakopoulos, Guo X., Vasudevan VT., and Sethy A. "Improving device directedness classification of utterances with semantic lexical features." Speech, & Signal Processing (ICASSP)2020 (Short)
  • Detect whether the user is talking to Alexa. From my first internship, thanks to all teammates 🍻!
• Guo X., Huang Y., Gamborino E., Tseng SH., Fu LC., and Yeh SL., "Inferring human feelings and desires for human-robot trust promotion." International Conference on Human-Computer Interaction (HCII)2019 (Long)
  • Promoting human-robot trust by identifying human desire in conversations. Part of my master thesis. Missing Taipei so much 🧋
• Chiang SY., Guo X., and Hu HW., "Real time self-localization of omni-vision robot by pattern match system." International Conference on Advanced Robotics and Intelligent Systems (ARIS) 2014 (Short)
  • My very first paper when I was an undergrad, and devoted almost entire 3 years in making a team of cool robots from scratch (both software/hardware)More Video 🤖🤩

• Guo X., Zhou B., Chen H., Verstyuk S., Skiena S., Submitted to The Proceedings of the National Academy of Sciences (PNAS)
• Guo X., Zhou B., Skiena S., plan to submit to KDD'24
• Guo X., Skiena S., Hierarchies over Vector Space: Orienting Word and Graph Embeddings (A small cute idea, in submission)

• WWW2022 Post-publication modification of News titles
• COVID-19 Research Lightning Talk
• KDD2021 Subset node embeddings over large dynamic graphs