Scholar
Zhihan Yang
Google Scholar ID: WjinQ20AAAAJ
Cornell University
machine learning
generative models
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Homepage
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Citations & Impact
All-time
Citations
227
H-index
6
i10-index
5
Publications
9
Co-authors
22
list available
Contact
Email
zhihany@cs.cornell.edu
Twitter
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GitHub
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Publications
2 items
Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models
2026
Cited
0
Scaling Beyond Masked Diffusion Language Models
2026
Cited
0
Resume (English only)
Academic Achievements
- CRA Outstanding Undergraduate Researcher Award
- Paper: Esoteric Language Models (2025)
- Paper: Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models (ICLR Oral, 2025)
- Paper: Adversarial Bandits for Drawing Generalizable Conclusions in Non-Adversarial Experiments: An Empirical Study (EDM Short Paper, 2022)
- Paper: Hierarchical Reinforcement Learning under Mixed Observability (WAFR, 2022)
- Paper: Recurrent Off-policy Baselines for Memory-based Continuous Control (Deep RL Workshop @ NeurIPS, 2021)
- Paper: Game Level Clustering and Generation using Gaussian Mixture VAEs (AIIDE Oral, 2020)
Research Experience
Currently a first-year PhD student at Cornell CS.
Education
B.A. in Mathematics and Statistics from Carleton College; Advisors included Seth Cooper, Anna Rafferty, Christopher Amato, and Adam Loy.
Background
Research Interest: Machine learning, specifically generative models.
Miscellany
Other projects: Upcoming.
Co-authors
22 total
Anurag Sarkar
University of Alberta
Seth Cooper
Associate Professor of Computer and Information Science
Subham Sekhar Sahoo
Cornell University
Hai Nguyen
Applied Scientist, Amazon Robotics | Ph.D. Northeastern University
Co-author 5
Volodymyr Kuleshov
Cornell Tech
Aaron Gokaslan
Cornell University
Justin T Chiu
Cohere
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