Papers by Zhi Qiao
HYDEN: Hyperbolic Density Representations for Medical Images and Reports (2025.coling-main)
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| Challenge: | Existing methods for visual semantic representation learning struggle to address semantic uncertainty, especially in the medical domain. |
| Approach: | They propose a hyperbolic density embedding based image-text representation learning approach tailored for specific medical domain data. |
| Outcome: | The proposed method performs better than baseline methods on zero-shot tasks and fine-tuning tasks on different datasets. |
GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems (2026.acl-long)
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Xinyi Wang, Wei Dai, Kyle Qiao, Ke Wang, Peng Chen, Gang Cao, null Kangqin, Zhongpu Wang, Xiaode Zhang, Yanming Liu, Jihao Gu, Jingtao Xu, Gong Zhi
| Challenge: | Automated interaction with graphical user interfaces (GUIs) is central to general artificial intelligence, but remains challenging within Super App ecosystems. |
| Approach: | They propose a framework synergizing autonomous data synthesis with dual-agent co-evolution . GUI0 establishes a domain-aware foundation model via synthesized corpora and employs curriculum-driven reinforcement learning . |
| Outcome: | The proposed framework outperforms Gemini-2.5-Pro and Claude-4-Sonnet in the SuperAPP benchmark and has universal efficacy across base models. |