most citedA Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems

25 citations · 29 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2024

StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion

Zhichao Wang, Yuanzhe Chen, Xinsheng Wang +2

StreamVoice has recently pushed the boundaries of zero-shot voice conversion (VC) in the streaming domain. It uses a streamable language model (LM) with a context-aware approach to…

eess.AS2024

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion

Ziqian Ning, Shuai Wang, Pengcheng Zhu +4

Streaming voice conversion has become increasingly popular for its potential in real-time applications. The recently proposed DualVC 2 has achieved robust and high-quality streamin…

cs.IT20242 cited

Sensing Mutual Information with Random Signals in Gaussian Channels: Bridging Sensing and Communication Metrics

Lei Xie, Fan Liu, Jiajin Luo +1

Sensing performance is typically evaluated by classical radar metrics, such as Cramer-Rao bound and signal-to-clutter-plus-noise ratio. The recent development of the integrated sen…

cs.LG202325 cited

A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems

Shuo Zhang, Yang Liu, Lei Xie

Molecular sciences address a wide range of problems involving molecules of different types and sizes and their complexes. Recently, geometric deep learning, especially Graph Neural…

cs.SD20231 cited

The second multi-channel multi-party meeting transcription challenge (M2MeT) 2.0): A benchmark for speaker-attributed ASR

Yuhao Liang, Mohan Shi, Fan Yu +11

With the success of the first Multi-channel Multi-party Meeting Transcription challenge (M2MeT), the second M2MeT challenge (M2MeT 2.0) held in ASRU2023 particularly aims to tackle…

cs.SD20231 cited

The FlySpeech Audio-Visual Speaker Diarization System for MISP Challenge 2022

Li Zhang, Huan Zhao, Yue Li +6

This paper describes the FlySpeech speaker diarization system submitted to the second \textbf{M}ultimodal \textbf{I}nformation Based \textbf{S}peech \textbf{P}rocessing~(\textbf{MI…