Scholar
Shanshan Zhong
Google Scholar ID: 0htBiCEAAAAJ
Carnegie Mellon University
Language Models
Multimodal Understanding
Multimodal Generation
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Citations
301
H-index
9
i10-index
9
Publications
19
Co-authors
20
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Publications
14 items
Zipbench: Low-Cost Framework for Compressing Comprehensive Benchmarks of Large Language Models
2026
Cited
0
Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
2026
Cited
0
One Run Is Not an Idea: The Implementation Lottery in Automated Research
2026
Cited
0
Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer
2026
Cited
0
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks
2026
Cited
0
AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
2026
Cited
0
Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
2026
Cited
0
What Generative Search Engines Like and How to Optimize Web Content Cooperatively
2025
Cited
0
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Resume (English only)
Co-authors
20 total
Zhongzhan Huang (黄中展)
Tsinghua University
Jinghui Qin
Guangdong University of Technology
Liang Lin
Fellow of IEEE/IAPR, Professor of Computer Science, Sun Yat-sen University
Mingfu Liang
Meta | Northwestern University
Shanghua Gao
Harvard University
Pan Zhou
Assistant Professor at SMU
Marinka Zitnik
Associate Professor, Harvard University
Co-author 8