zjlxgxz / pprgo_pytorch

PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

Welcome to Xingzhi (Jacky) Guo's Homepage

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 🏞🌧 .

Research Interests

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

Education

• 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

Work Experience

• 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

Academic Service

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

Publications

• 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 🤖🤩

Manuscripts in Submission

• Guo X., Wang S., Zhou B., Xiao Y., Skiena S., Submitted to KDD'24
• Zhou B., Sun Y, Harikandeh H., Guo X., Yang D., Xiao Y., Submitted to ICML'24
• Guo X., Zhou B., Chen H., Verstyuk S., Skiena S., In submission
• Guo X., Skiena S., Hierarchies over Vector Space: Orienting Word and Graph Embeddings, In submission (A small cute idea, in submission)

Presentations

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