Experimental Sensing Quantum Atmosphere of a Single Spin
Zhu, Kehang, et al. "Experimental sensing quantum atmosphere of a single spin." Quantum Frontiers 3.1 (2024): 1.
CV
Education
- Ph.D in Physics, Harvard University, 2026 (expected)
- M.S. in Computer Science, Harvard University, 2024
- M.A. in Physics, Harvard University, 2023
- B.S. in Physics, University of Science and Technology of China, 2021
Publications
Dynamics of a tunable QED in quantum spin ice
Kehang Zhu, et.al. (2021). Dynamics of a tunable QED in quantum spin ice.
Reading Between the Pixels: Investigating the Conceptual Hurdles to Visualization Literacy
Carolina Nobre, Kehang Zhu, et.al. (2023). Reading Between the Pixels: Investigating the Conceptuxal Hurdles to Visualization Literacy
Silica Scientist: A Tool for Automated Causal Hypothesis Generation and Simulated Experimental Validation
Kehang Zhu*, Benjamin Manning*, John Horton. Silica Scientist: A Tool for Automated Causal Hypothesis Generation and Simulated Experimental Validation (2023 CODE)
Automated Social Science: Using Large language Models to Identify Causal Relationships in Social Phenomena
Benjamin Manning*, Kehang Zhu*, John Horton. Automated Social Science: Using Large language Models to Identify Causal Relationships in Social Phenomena (2023 ICLC)
ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity
Bae, Henry, Aghyad Deeb, Alex Fleury, and Kehang Zhu. "ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity." arXiv preprint arXiv:2312.11511 (2023).
Automated Social Science: Language Models as Scientist and Subjects
Manning, Benjamin S., Kehang Zhu, and John J. Horton. Automated Social Science: Language Models as Scientist and Subjects. No. w32381. National Bureau of Economic Research, 2024.
Talks
Talk on APS March Meeting 2022
Invited talk for conference at 2022 APS march meeting, Chicago, USA
Talk on Machine Learning for Science (AI4S)
Talk at Harvard, SEAS, Cambridge, MA
Talk on Visualizaiton and Human-computer interaction
Talk at Harard, CS department, Allston, MA
Automated Social Science—A Structural Causal Model-Based Approach
Co-author at ICLC, Boca Raton, FL, USA
Agent-based modeling: Harnessing Large Language Models for Automated Exploration of Emergent Behaviors in Simulated Social Systems
Invited talk at AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), MIT, USA
Physicalization of Social Experiments: Harnessing Large Language Models for Automated Exploration of Emergent Behaviors in Simulated Social Systems
Invited talk at 2024 APS march meeting, Minneapolis, USA