Hello.
I am Chengyuan Deng, a fifth-year PhD student at Rutgers Theory Group, where I am fortunate to be advised by Jie Gao.
My research revolves around graph algorithm, geometry and machine learning.
I am training myself as a musician on classical music slowly.
I am on the job market looking for a postdoc or a full-time position. Drop me a line if you see a match, thank you!
Contact:

Publications
As is the convention in Theoretical Computer Science, authorships are in alphabetical order. Empirical ML papers are exceptions in this list.

Recognitions
Invited Talks
- The Discrepancy of Shortest Paths, Rutgers DIMACS Theory Seminar, 2024
- Explainable Clustering, Harvard Theory Reading Group of Physics ML, 2023
Professional Service
- Reviewer, SOSA 2026; SoCG 2026; Random 2025; NeurIPS 2023-25; ICLR 2023-25;
- Guest Lecturer and Advising, Machine Learning course at Quisqueya University, Haiti
Honors and Awards
- Rizvi Research Excellence Award, 2025
- Rutgers SGS Travel Award, 2025
- Travel Award, WADS 2023
- Travel Award, Neurips 2022
- Master Graduation with honor, Outstanding Publication Award
Music
I am gradually constructing this site to include performance recordings, compositions, analysis and notes.
Chamber music recording
I recently find much pleasure in chamber music. I do not find it a contradiction to a soloist's strong personality, but rather a different way of expressing it—one that thrives on dialogue, sensitivity, and the subtle interplay between voices.
Beethoven: Piano Trio in B-flat Major, Op. 97 "Archduke" - Mov I. Allegro moderato
0:000:00
Dvorak: Piano Quintet in A Major, Op. 81 - Mov I, II, & III
0:000:00