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Zhen Huang

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#artificial intelligence Preprint Oct 2026

How GUI Agents Fail: GraceBench for Execution Stability Diagnosis

As GUI agents are increasingly deployed for mobile task automation, their reliability depends not only on final task outcomes, but also on whether they reach these outcomes through stable interaction trajectories. In automation workflows, unnecessary actions, detours, and execution errors can add noise to collected dat...

Ridong Zhang, Shu-Xian Liang, Chao-Qun Wan et al. · 0 citations
Preprint Oct 2026

Serve Now or Improve Later? Scheduling Self-Evolution in Online Agent Systems

Online agents can improve future service by constructing reusable tools, guidance, or model states, but this work competes with current requests for the same GPUs. Exploiting idle compute for self-evolution faces a fundamental systems constraint: benefits arrive only after an artifact is published and used, while pausi...

Yang-Bo Wei, Jun-Hong Qian, Zhen Huang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Forgetting Without Restarting: Execution-State Unlearning for Stateful LLM Agents

Long-running LLM agents are stateful: beyond the transcript they accrete compressed summaries, plaintext memory, pending tool plans, and, under every serving API, a KV cache. Yet today's"forget"operations delete a plaintext memory record and stop, leaving every artifact derived from the revoked information intact. We f...

Chao Yao, Yang-Bo Wei, Zhen Huang et al. · 1 citation
#artificial intelligence Preprint Aug 2026

PCBnet: A Dataset and Automatic Construction of SPICE Netlists from Schematic Images

This work presents PCBnet, a large-scale PCB schematic dataset comprising over 300 real-world designs with annotated pins and paired SPICE netlists, and develops an automated schematic-to-netlist pipeline that combines visual recognition, topology construction, and domain-knowledge-guided multi-agent correction.

Zhen Huang, Yu-Hao Gao, Yu-Zhi Liu et al. · 0 citations

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