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Zhihang Sun

2 accepted papers

2025

Learning Neural Vocoder from Range-Null Space Decomposition

IJCAI 2025

Despite the rapid development of neural vocoders in recent years, they usually suffer from some intrinsic challenges like opaque modeling, and parameter-performance trade-off. In this study, we propose an innovative time-frequency (T-F) domain-based neural vocoder to resolve the above-mentioned chal

2025

Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract)

AAAI 2025technical

In recent years, reinforcement learning has been widely applied in the field of games. However, most studies focus on assisting agents to achieve victory, with less attention paid to whether the agents exhibit human-like characteristics. In order to build human-like agents with high performance, we…

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