Papers by Zhixiong Zhuang
Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control (2026.findings-acl)
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Changhao Jiang, Jiahao Chen, Zhenghao Xiang, Zhixiong Yang, Hanchen Wang, Jiabao Zhuang, Xinmeng Che, Jiajun Sun, Hui Li, Yifei Cao, Shihan Dou, Ming Zhang, Junjie Ye, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
| Challenge: | Recent commercial systems such as Suno demonstrate strong capabilities in long-form song generation, but academic research remains non-reproducible due to the lack of publicly available training data. |
| Approach: | They propose a system for long-form song generation with fine-grained style conditioning that includes a licensed synthetic dataset and a song generation model, Muse. |
| Outcome: | The proposed system achieves competitive performance on phoneme error rate, text–music style similarity, and audio aesthetic quality while enabling controllable segment-level generation across different musical structures. |
ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks (2026.findings-acl)
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| Challenge: | Existing defenses against prompt extraction are either easily bypassed or require constant updates to address new threats. |
| Approach: | They propose a new mechanism that replaces the original prompt with a proxy to prevent prompt leakage by obfuscating the extracted prompt. |
| Outcome: | The proposed defense outperforms the existing defense, which only achieves 42.80% of the prompts extracted from the original task. |