Hey, I am Ziming! I graduated from Yale University, with double major in Computer Science and Philosophy. I will be joining UC Berkeley for Computer Science PhD, working with Prof. Ion Stoica and Prof. Scott Shenker.
I am advised by Prof. Anurag Khandelwal, Prof. Dragomir Radev at Yale, and Prof. Rashmi Vinayak at CMU. I am fortunate to work with collaborators from Microsoft Research, NetApp, Facebook AI, Salesforce Research, and Twitter. I was awarded Outstanding Undergraduate Researcher Award (2023) Runner-Up, Computer Science Prize (2023), and Rosenfeld Science Scholars Fellowship (2021).
I am broadly interested in Computer Systems. I am currently working on an OS stack for memory disaggregation, and some cool project for Sky Computing. Earlier I have worked on learned software cache, compressed data store, and extending language models to long inputs.
Trinity: A Fast and Space-efficient Multi-attribute Data Store
Ziming Mao, Anurag Khandelwal, Kiran Srinivasan
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Ziming Mao*, Chen Henry Wu*, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
For a full list of publications, please see Google Scholar.