Haopu Shang

Ph.D. candidate · Nanjing University

Haopu Shang尚昊璞

Exploring the interplay between
learning and optimization.

I am a Ph.D. candidate at the School of Artificial Intelligence, Nanjing University, advised by Prof. Chao Qian. I am a member of the LAMDA Group, led by Prof. Zhi-Hua Zhou.

My research focuses on black-box and combinatorial optimization. I am interested in using learning to design better optimizers, and using evolutionary algorithms to improve machine learning.

shanghp@lamda.nju.edu.cn
Haopu Shang
LAMDA · Nanjing UniversityNanjing, China

Research

Learning for better optimization

01 /

Black-box optimization

Data-driven optimization, Bayesian optimization, and learning to select the right algorithm.

02 /

Evolutionary learning

Evolutionary methods for efficient machine learning, from neural network pruning to feature selection.

03 /

Combinatorial optimization

Neural solvers and learning-guided search for routing and mixed-integer optimization.

Publications & preprints

Research works

View Google Scholar

* Equal contribution

2026

2025

2024

2023

2022

Background

Education
& experience

Before my doctoral studies, I worked as a research assistant in Prof. Chao Qian’s group at Nanjing University.

2023 — Present

Ph.D. in Artificial Intelligence

Nanjing University

School of Artificial Intelligence · Advisor: Chao Qian
2019 — 2022

M.Sc.

Nanjing University

School of Artificial Intelligence
Graduated 2019

B.Sc.

Hunan University

Get in touch

Always happy to exchange ideas.

For questions about my work or potential research collaborations, feel free to reach out.

shanghp@lamda.nju.edu.cn