activity
20242026
most citedA Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Duplex-MPE: Benchmarking Multi-Party Interaction in Full-Duplex Dialogue

Chengqian Ma, Wenhao Feng, Weixuan Jin +7

Real-time full-duplex speech models can listen while speaking, enabling natural interaction without rigid turn boundaries. Existing benchmarks evaluate turn-taking, interruption ha…

cs.SD2026

Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue

Chengqian Ma, Wei Tao, Haoyu Zhang +1

An avatar that holds a conversation should decide what to say and to move while saying it, yet these abilities live in separate model families: spoken dialogue models produce speec…

cs.CL2025

C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

Chengqian Ma, Wei Tao, Yiwen Guo

Spoken Dialogue Models (SDMs) have recently attracted significant attention for their ability to generate voice responses directly to users' spoken queries. Despite their increasin…

cs.CV2025★ 2 cited

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

Chengqian Ma, Zhengyi Shi, Zhiqiang Lu +3

Image quality assessment (IQA) represents a pivotal challenge in image-focused technologies, significantly influencing the advancement trajectory of image processing and computer v…

cs.CL2024

Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting

Xiangyu Zhao, Chengqian Ma

Large Language Models (LLMs) exhibit remarkable proficiency in addressing a diverse array of tasks within the Natural Language Processing (NLP) domain, with various prompt design s…