Scholar
Qingxuan Jiang
Google Scholar ID: D7TlJL4AAAAJ
Graduate Student, MIT
Machine Learning
Optimization
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Citations & Impact
All-time
Citations
252
H-index
5
i10-index
3
Publications
10
Co-authors
0
Contact
Email
qingxuan@mit.edu
CV
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GitHub
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Publications
5 items
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains
2025
Cited
0
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
2025
Cited
0
The Hunger Game Debate: On the Emergence of Over-Competition in Multi-Agent Systems
2025
Cited
0
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
2025
Cited
0
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
2025
Cited
0
Resume (English only)
Academic Achievements
Conference Publications:
- "Adversarial Example Decomposition", ICML Workshop 2019
- "Differentiating through the Fréchet Mean", ICML 2020 (equal contribution)
- "Neural Manifold Ordinary Differential Equations", NeurIPS 2020
Journal Publication:
- "Sobolev Orthogonal Polynomials on the Sierpinski Gasket", Journal of Fourier Analysis and Applications, 2021
Honors and Awards:
- Tanner Dean’s Scholar, Cornell University
- Rank 122/4638 in 2017 William Lowell Putnam Mathematical Competition
- 4th Place, Cornell Mathematical Contest in Modeling 2018
- Honorable Mention, International Mathematical Contest in Modeling 2019
Research Experience
Local Elasticity and Generalization of Neural Networks, advised by Prof. Weijie Su
Cornell REU 2020: Analysis and Implementation of Spectral Method, advised by Prof. Alex Townsend
Cornell SPUR 2019: Orthogonal Polynomials on the Sierpinski Gasket, advised by Profs. Kasso Okoudjou and Robert Strichartz
Research project: First-order Methods on Large-scale Convex Optimization Problems, advised by Prof. James Renegar
Undergraduate thesis: Proximal Bundle Methods and Nonlinear Acceleration, advised by Prof. Adrian Lewis
Co-authors
0 total
Co-authors: 0 (list not available)
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