Scholar
Xiaoqin Feng
Google Scholar ID: -rW26N0AAAAJ
University of Southern California
LLM/Agent/Application/Data/Evaluation
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fengxqinx@gmail.com
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Publications
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Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
2025
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Resume (English only)
Background
Deeply motivated by the potential of multi-modal information to improve lives
Mission is to bridge real-world needs with advanced AI systems
Research interests include Generative AI, LLM-powered agents, Human-AI Collaboration, and AI for Science
Focus areas: agents, speech, data, evaluation, and real-world applications
Committed to advancing AI through rigorous research and practical innovation
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