2026

1. One Token per Trade: Multi-Resolution Limit Order Book Forecasting with a Foundation Model

   Srijan Sood, Maxime Kawawa-Beaudan, Zhijin Guo, and Daniel Borrajo

   In ICML 2026 Workshop on Forecasting (Forecast@ICML), 2026
2. From Composition to Compositionality: Discovering Reusable Structure in Polyphonic Music Embeddings

   Zhijin Guo, Richard Freedman, and Martha Lewis

   In 2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents (CompLearn @ ICML 2026), 2026
3. Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks

   Zhijin Guo, Li Zhang, Tyler Bonnet, Janet B. Pierrehumbert, and Xiaowen Dong

   arXiv preprint arXiv:2605.12345, 2026
4. Deep FinResearch Bench: Evaluating AI’s Ability to Conduct Professional Financial Investment Research

   Mirazul Haque, Antony Papadimitriou, Samuel Mensah, Zhiqiang Ma, Zhijin Guo, Joy Prakash Sain, Simerjot Kaur, Charese Smiley, and Xiaomo Liu

   arXiv preprint arXiv:2604.21006, 2026
5. CrediBench: Web-Scale Network Data for Credibility Prediction

   Emma Kondrup, Sebastian Sabry, Hussein Abdallah, Zachary Yang, Jiaqi Xiong, Kellin Pelrine, James Zhou, Zhijin Guo, Michael M. Bronstein, Jean-François Godbout, Reihaneh Rabbany, and Shenyang Huang

   In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026

2025

1. Quantifying Compositionality of Classic and State-of-the-Art Embeddings

   Zhijin Guo, Chenhao Xue, Zhaozhen Xu, Hongbo Bo, Yuxuan Ye, Janet B. Pierrehumbert, and Martha Lewis

   In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

   DOI