Ao-Jin Li — accepted AI-conference papers

2026

Learning from Comparison: Constrained Projection Policy Optimization for Pareto-Front Improvement

Jintao Li, Maowen Tang, Yongji Long, Weixuan Liu, Yanlang Zheng, Sicheng He +3

ICML 2026poster

Constrained multi-objective reinforcement learning aims to discover a diverse set of feasible trade-offs, yet scalarization and signed, normalized group-relative advantages can be brittle under objective-scale drift, near-ties, and feasibility scarcity. We propose constrained projection policy optim…

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2026

Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization

Jintao Li, Zhenxin Chen, Sicheng He, Ao-Jin Li, Shui Yu

AAAI 2026technical

A primary motivation for analog integrated circuit (IC) design automation is the inefficiency of manual design in meeting increasingly stringent specifications, which often involve over 10 objectives. Recent advances in reinforcement learning (RL) emerge as a promising method, yet gaps remain when

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