Papers by Qingyang Hong

2 papers
Dual-Reasoner: Bridging Interleaved Atomicity and Streaming Latency via Thinking-while-Talking (2026.findings-acl)

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Challenge: Existing methods to integrate Chain-of-Thought into spoken dialogue models incur prohibitive latency.
Approach: They propose a Streaming Masking Mechanism to ensure uninterrupted audio streaming . they use a quadruple-constraint system to reconstruct logical atomicity .
Outcome: Experimental results show that Dual-Reasoner improves speech generation performance with low latency.
DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration (2026.findings-acl)

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Challenge: Existing training-free acceleration approaches for text-to-speech models are constrained by training costs.
Approach: They propose a training-free acceleration framework that compresses computations in DiT-based TTS models . they propose Temporal Skipping and Branch Skipping to eliminate redundant computations .
Outcome: Experimental results show that the proposed framework reduces FLOPs and improves RTF by 37.1%.

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