Publications

You can also find my articles on my Google Scholar profile.

SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization Permalink

Published in arXiv, 2026

We present SemanticOpt, an LLM-based black-box optimization method that leverages problem-specific semantic information and fine-tuning from Bayesian optimization methods to propose high-quality candidates efficiently.

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ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization Permalink

Published in ScaleOPT: GPU-Accelerated and Scalable Optimization at Neurips 2025, 2025

We present ZeroShotOpt, a general-purpose, pretrained model for continuous black-box optimization tasks ranging from 2D to 20D.

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The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering Permalink

Published in PVLDB, 2024

We introduce the ParClusterers Benchmark Suite (PCBS)—a collection of highly scalable parallel graph clustering algorithms and benchmarking tools that streamline comparing different graph clustering algorithms and implementations.

Recommended citation: Shangdi Yu, Jessica Shi, Jamison Meindl, David Eisenstat, Xiaoen Ju, Sasan Tavakkol, Laxman Dhulipala, Jakub Łącki, Vahab Mirrokni, and Julian Shun. The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering. PVLDB, 18(3): 836-849, 2024. doi:10.14778/3712221.3712246
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