Ziqian Zhong
Scholar

Ziqian Zhong

Google Scholar ID: iZpSjEYAAAAJ
Carnegie Mellon University
deep learningtheoretical computer science
Citations & Impact
All-time
Citations
178
 
H-index
5
 
i10-index
3
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Selected papers include 'Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs' and others; selected awards include Gold Medal, Fourth Place at International Olympiad in Informatics 2019, First Place at Meta Hacker Cup 2024, Second Place at 46th ICPC World Final, and more.
Research Experience
  • Worked as a research scientist at Pika, leading the development of Pika 2.0.
Education
  • Currently a second-year PhD student at Carnegie Mellon University, advised by Aditi Raghunathan; previously studied computer science and math at MIT.
Background
  • Research Interest: Understanding, improving, and aligning large language models. Focuses on enhancing their robustness, controllability, and alignment with human values.
Miscellany
  • Side projects include: Is my problem new? (a semantic search demo for competitive programming problems), CP Ideas (generate competitive programming problems with GPT-3), Mosaic Detective (guess the word from an image downscaled), Light Synth (synthesizer, but with balls and whistles), Pitch Trainer (microtonal ear training, in Chinese).
Co-authors
0 total
Co-authors: 0 (list not available)