LabCompass

Yexiang Xue

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1996
Reinforcement Learning in RoboticsMachine Learning in Materials ScienceMachine Learning and Data ClassificationTopic ModelingBayesian Modeling and Causal Inference

Publications

144

Citations

1,928

Est. group size

~8

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

Yexiang Xue works in artificial intelligence and machine learning, with a focus on combining symbolic reasoning (rule-based logical methods) with neural generative models, optimization under uncertainty, and reinforcement learning. Recent work also applies AI methods to scientific and medical problems, such as materials analysis, literature summarization with large language models, and burn injury assessment. Prospective students would likely engage with topics spanning generative modeling, multi-objective optimization, and applied AI for science and healthcare.

Neuro-symbolic AI and generative modelsMulti-objective and constrained optimizationReinforcement learning and imitation learningLarge language models for scientific literature analysisApplied AI for science and medicine

Publication output has fluctuated over the past decade, rising through 2019 and 2023 before dipping in 2025 and sharply increasing again in 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 12.8/year recently
2017: 10 publications172018: 10 publications182019: 15 publications192020: 9 publications202021: 12 publications212022: 14 publications222023: 17 publications17232024: 11 publications242025: 7 publications252026: 15 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×52
  • Proceedings of the AAAI Conference on Artificial Intelligence×13
  • Lecture notes in computer science×7
  • Military Medicine×3
  • Journal of Nuclear Materials×3
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

Claim or correct this profile