Scholar
Ruocheng Guo
Google Scholar ID: 8Nuj8NwAAAAJ
Intuit AI Research
Citations & Impact
Citations
3,991
H-index
33
i10-index
59
Publications
20
Co-authors
119
list available
Publications
Resume (English only)
Academic Achievements
- 2025: 2 papers accepted at IJCAI’25, 1 at ACL’25, and 1 at KDD’25
- 2024: Paper accepted at NeurIPS’24; Invited talk at 2nd Workshop on Causal Inference and Machine Learning in Practice @ KDD’24
- Senior PC member for CIKM’25 demo and resource tracks
- PC co-chair of the industry track of IEEE DSAA’25
- Invited guest lecture on conformal causal inference at Case Western Reserve University
- Gave a talk on LLM Agents at LinkedIn Market AI
- Authored survey papers: 'Causal Interpretability for Machine Learning' and 'A Survey of Learning Causality with Data'
- Maintains algorithm repository Awesome-Causality-Algorithms and data repository Awesome-Causality-Data
- Co-supervised/co-authored papers with students published at top venues including ACL, KDD, SIGIR, IJCAI, WWW, SDM, ICDM, ICLR
Research Experience
- Staff Research Scientist, Intuit AI Research, March 2025 – present
- Senior Machine Learning Researcher, ByteDance Research (London), June 2022 – January 2025
- Assistant Professor, City University of Hong Kong, August 2021 – June 2022
- AI Resident, Google X, August 2020 – December 2020, Mentor: Hongxu Ma
- Research Intern, Microsoft Research, May 2020 – August 2020, Mentors: Emre Kiciman, Pengchuan Zhang
- Research Intern, Etsy, May 2019 – August 2019, Mentors: Liangjie Hong, Xiaoting Zhao, Adam Henderson
