Maowen Tang — 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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2025

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models

JianXing Liao, Junyan Xu, Yatao Sun, Maowen Tang, Sicheng He, Jingxian Liao +3

ACL 2025long

Designing complex computer-aided design (CAD) models is often time-consuming due to challenges such as computational inefficiency and the difficulty of generating precise models. We propose a novel language-guided framework for industrial design automation to address these issues, integrating large…

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