Zichao (Jack) Wang 王子超

Zichao (Jack) Wang
王子超

Machine intelligence for human intelligence

Selected Publications

See my Google Scholar profile for a full publication list.

  1. RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs
    Nigel Fernandez, Branislav Kveton, Ryan A. Rossi, Andrew S. Lan, Zichao Wang
    International Conference on Learning Representations (ICLR), 2026
  2. Interview-Informed Generative Agents for Product Discovery: A Validation Study
    Zichao Wang, Alexa Siu
    CHI Conference on Human Factors in Computing Systems (CHI), 2026
  3. Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education
    Naiming Liu, Blair Bradford, Joshua Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard Baraniuk
    arXiv preprint, 2025
  4. UniEDU: A Unified Language and Vision Assistant for Education Applications
    Zhengyang Chu, Jiaqi Xie, Shaolei Wang, Zichao Wang, Qingsong Wen
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
  5. Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
    Zihao Lin, Zichao Wang, Yuwei Pan, Varun Manjunatha, Ryan Rossi, Andrew S. Lan, Lifu Huang, Tong Sun
    North American Chapter of the Association for Computational Linguistics (NAACL), 2025
  6. ATLAS: A System for PDF-centric Human Interaction Data Collection
    Alexa Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun
    North American Chapter of the Association for Computational Linguistics (NAACL), 2024
  7. Retrieval-based Controllable Molecule Generation
    Zichao Wang*, Weili Nie*, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar (*=equal contribution)
    International Conference on Learning Representations (ICLR), 2023
  8. Open-Ended Knowledge Tracing
    Naiming Liu*, Zichao Wang*, Richard G. Baraniuk, Andrew Lan (*=equal contribution)
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
  9. Towards Human-like Educational Question Generation with Large Language Models
    Zichao Wang*, Jakob Valdez*, Debshila Basu Mallick, Richard G. Baraniuk (*=equal contribution)
    Conference on Artificial Intelligence in Education (AIED), 2022
  10. Mathematical Formula Representation via Tree Embeddings
    Zichao Wang, Mengxue Zhang, Andrew S. Lan, and Richard G. Baraniuk
    IEEE International Conference on Big Data (IEEE BigData), 2021
  11. Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
    Zichao Wang, Andrew S. Lan, and Richard G. Baraniuk
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
  12. Large-Scale Educational Question Analysis with Partial Variational Auto-encoders
    Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon P. Jones, Richard G. Baraniuk, and Cheng Zhang
    Symposium on Educational Advances in Artificial Intelligence (AAAI-EAAI), 2021
  13. A Max Affine Spline Perspective of Recurrent Neural Networks
    Zichao Wang, Randall Balestriero, and Richard G. Baraniuk
    International Conference on Learning Representations (ICLR), 2019
  14. QG-Net: A Data-driven Question Generation Model for Educational Content
    Zichao Wang, Andrew S. Lan, Weili Nie, Andrew E. Waters, Phillip J. Grimaldi, and Richard G. Baraniuk
    ACM Conference on Learning at Scale (L@S), 2018