Publications

2026

1. WWW

   EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

   Linxiao Li^* and Zhixiang Lu^*†

   In Proceedings of the ACM Web Conference 2026 (WWW’26), 2026

   Accepted (Acceptance Rate: 21.7%) Abs Bib PDF

   Accepted

   EcoThink is a green adaptive inference framework that addresses LLM overthinking in agent systems. It achieves an average of 40.4% energy savings (up to 81.9%) without significant performance loss, making AI agents more sustainable and accessible.

   @inproceedings{li2026ecothink,
     title = {EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents},
     author = {Li, Linxiao and Lu, Zhixiang},
     booktitle = {Proceedings of the ACM Web Conference 2026 (WWW'26)},
     year = {2026},
     url = {https://dl.acm.org/doi/10.1145/3774904.3792995}
   }

2. ICML

   Deterministic Component Mining for Multi-framework UI2Code Generation

   Zixiong Yang^*, Linxiao Li^*, Jiaye Lin, and 3 more authors

   In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 2026

   Accepted (Acceptance Rate: 26.6%) Abs Bib

   Accepted

   We propose a deterministic component mining approach for multi-framework UI2Code generation, enabling accurate and framework-agnostic code synthesis from UI designs.

   @inproceedings{yang2026dcm,
     title = {Deterministic Component Mining for Multi-framework UI2Code Generation},
     author = {Yang, Zixiong and Li, Linxiao and Lin, Jiaye and Wu, Binrui and Kang, Xiaoyu and Gao, Jiechao},
     booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)},
     year = {2026},
     url = {https://icml.cc/virtual/2026/poster/64878}
   }