LEAD@IJCAI-ECAI2026 is the first workshop on Learning-assisted Algorithm Design (LEAD), held by IJCAI-ECAI 2026 conference.

Submission Guidelines

Papers must be no shorter than 6 pages and no longer than 9 pages in total: 4 to 7 pages for the body of the paper and 2 pages for references. 

List of Topics

With the rapid growth of the LEAD field, the topic of interests of this workshop cover a wide range of participants, which include but not limited to following:

• Reinforcement Learning-assisted Algorithm Configuration

• Reinforcement Learning-assisted Operator/Algorithm Selection

• Pre-trained Optimization Model

• Surrogate Modelling within Online/Offline Evolutionary Systems

• Hyper-Heuristics

• Large Language Model for Automated Algorithm Design

• Large Language Model for Optimization Modelling

• Large Language Model for Foundational Optimization Systems

• Self-evolved Agentic Systems

• Evolutionary Reinforcement Learning

• Autoregressive Learning for Automated Algorithm Design

• Foundational Optimization Models

• Exploratory Landscape Analysis

• Fitness Landscape Analysis

• Instance Space Analysis

• Meta-Black-Box Optimization

• Evaluation Metrics

• Benchmarks, Tools, Platforms

• Position papers on related LEAD sub-fields

• Applications of LEAD

Committees

Program Committee

• Wenjie Qiu
• Xian-rong Zhang
• Yuanting Zhong

Organizing committee

• Yue-Jiao Gong
• Zeyuan Ma
• Hongshu Guo

Contact

All questions about submissions should be emailed to LEAD-2026@outlook.com