papers

Publications (17)

cs.RO2026

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels

Xinyu Yang, Tianxing Chen, Honghao Su +38

The paper proposes a layered systems framework for achieving trustworthy embodied intelligence, defining trustworthiness as sustained safe success and introducing graded trustworth…

#trustworthy ai#embodied intelligence#robotics#system safety
cs.SD2025

Accelerating Autoregressive Speech Synthesis Inference With Speech Speculative Decoding

Zijian Lin, Yang Zhang, Yougen Yuan +5

Modern autoregressive speech synthesis models leveraging language models have demonstrated remarkable performance. However, the sequential nature of next token prediction in these…

cond-mat.mtrl-sci2025

Interlayer Hopping between Surface Mott Insulator and Bulk Band Insulator in layered 1T-TaS_{2}

Zijian Lin, Jie Li, Xiaodong Cao +7

In condensed matter physics, various mechanisms give rise to distinct insulating phases. The competition and interplay between these phases remain elusive, even for the seemingly m…

cs.SD2026

Qwen-Music Technical Report

Jin Xu, Kangdi Wang, Ruibin Yuan +24

Qwen-Music is a large language model‑based system that generates high‑fidelity songs with vocals from text prompts or re‑imagines existing tracks, using a semantic token representa…

#music generation#text-to-music#cover song generation#semantic tokenization
cs.CL2026

TTS-PRISM: A Perceptual Reasoning and Interpretable Speech Model for Fine-Grained Diagnosis

Xi Wang, Jie Wang, Xingchen Song +8

While generative text-to-speech (TTS) models approach human-level quality, monolithic metrics fail to diagnose fine-grained acoustic artifacts or explain perceptual collapse. To ad…

cs.CV2023

A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance

Zeyi Huang, Andy Zhou, Zijian Lin +3

Domain generalization studies the problem of training a model with samples from several domains (or distributions) and then testing the model with samples from a new, unseen domain…