Rui Xi — accepted AI-conference papers

2026

Position: Web Agents Should Use Typed Actions Instead of Click-Based Browsing

Linxi Jiang, Rui Xi, Zhijie Liu, Shuo Chen, Zhiqiang Lin, Suman Nath

ICML 2026poster

This position paper argues that building a reliable agentic web requires shifting from click-based browsing to typed actions supported by a standardized semantic layer. Today’s agents primarily operate over low-level primitives such as clicks, keystrokes, and DOM manipulation. This reliance leads to…

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2026

Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution

Honglin Cao, Shuai Wang, Zijian Zhou, Ammar Belatreche, Wenjie Wei, Yu Liang +4

AAAI 2026technical

Conversion represents an effective approach for obtaining low-power models by transforming Artificial Neural Networks (ANNs) into event-driven Spiking Neural Networks (SNNs) without additional training. However, existing training-free conversion methods often incur substantial conversion errors. Her

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