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publications
Experimental Sensing Quantum Atmosphere of a Single Spin
Published in Quantum Frontier, 2020
With Zhiping Yang, Zhijie Li, Qing-Dong Jiang, Zihua Chai, Changkui Duan, Ya Wang, Xing Rong and Jiangfeng Du.
Recommended citation: Zhu, Kehang, et al. "Experimental sensing quantum atmosphere of a single spin." Quantum Frontiers 3.1 (2024): 1. https://link.springer.com/article/10.1007/s44214-023-00048-8
Dynamics of a tunable QED in quantum spin ice
Published in APS March Meeting, 2021
With Siddhardh Morampudi, Yeqi Huang, Youjin Deng and Frank Wilczek. Accepted at APS March Meeting 2022 as focused talk.
Recommended citation: 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
Published in Accepted in IEEE CHI 2024, 2023
With Carolina Nobre, Eric Morth, Hanspeter Pfister and Johanna Beyer.
Recommended citation: 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
Published in CODE, 2023
With Benjamin Manning and John Horton
Recommended citation: 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
Published in ICLC, 2023
With Benjamin Manning and John Horton
Recommended citation: 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
Published in Arxiv, 2023
With Henry Bae, Aghyad Deeb and Alex Fleury.
Recommended citation: Bae, Henry, Aghyad Deeb, Alex Fleury, and Kehang Zhu. "ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity." arXiv preprint arXiv:2312.11511 (2023). https://arxiv.org/abs/2312.11511
Automated Social Science: Language Models as Scientist and Subjects
Published in NBER working paper, 2024
Recommended citation: 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
Published:
teaching
Computational method in quantum material (Spring 2021, USTC)
Workshop, USTC, Physics Department, 2021
Topics include Monte Carlo method, quantum Monte Carlo, worm algorithm and the implementation in parallel computing.
Physics-S1A: Introduction to Physics (Summer 2023, Harvard)
Undergraduate course, Harvard University, Physics Department, 2023
This course is an introduction to Newtonian mechanics. Topics include Newton’s laws, kinematics, statics, conservation of energy and momentum, the simple harmonic oscillator, and rotations.
Physics 262/ Applied Physics 284: Statistic Mechanics (Fall 2023, Harvard)
Graduate course, Harvard University, Physics Department, 2023
Basic principles of statistical physics with applications including: the equilibrium properties of classical and quantum gases; phase diagrams, phase transitions and critical points, as illustrated by the gas-liquid transition and simple magnetic models; Bose-Einstein condensation.