Haopu Shang (尚昊璞)

  

Currently I am a PhD candidate of School of Artificial Intelligence in Nanjing University, supervised by Associate Prof. Chao Qian, and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

My recent works focus on Black-Box Optimization (e.g., Evolutionary Algorithms, Bayesian Optimization, Zero-order Optimization), Combinatorial Optimization and their applications, especially on
· Learn to Optimize, Data-driven Black-Box Optimization
· Evolutionary Learning, Employing Evolutionary Algorithms to enhance Machine Learning
· Neural Combinatorial Optimization

E-mail: shanghp at lamda.nju.edu.cn

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Any questions on my works, please feel free to contact me via E-mail.
Meanwhile, I am always willing to communicate, discuss and collaborate on my insterested topics. Feel free to contact me and let us have a wonderful talk!
Biography

I received my B.Sc.degree in June 2019 from Hunan University and M.Sc. degree in June 2022 from School of Artificial Intelligence, Nanjing University. After that, I worked as a Research Assistant in Associate Prof. Chao Qian's group. In September 2023, I was admitted to study for a Ph.D. degree in School of Artificial Intelligence, Nanjing University.

Publications
Neural Solver Selection for Combinatorial Optimization
Chengrui Gao*, Haopu Shang*, Ke Xue, Chao Qian.
arxiv preprint 2024

Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian.
arxiv preprint 2024

Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian.
ICML 2024

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian.
IJCAI 2024

Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization
Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian.
GECCO 2024, Poster Companion

Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection
Zi-Hang Cheng, Haopu Shang, Chao Qian.
arxiv preprint, 2024

Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu.
IJCAI 2023

Multi-objective Evolutionary Instance Selection for Multi-label Classification
Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian
PRICAI 2023

Robust Neural Network Pruning by Cooperative Coevolution
Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian.
PPSN 2022

Neural Network Pruning by Cooperative Coevolution
Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian.
IJCAI 2022


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