26 citations · 44 across the 10 of their papers we have counts for
10 papers
Wisteria: A Unified Multi-Scale Feature Learning Framework for DNA Language Model
Weihua Wang, Haoji Li, Feilong Bao +2
DNA language model aims to decipher the regulatory grammar and semantic of genomes by capturing long range dependencies in DNA sequences. Existing methods emphasize long range toke…
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
Weihua Wang, Qiuyu Liang, Feilong Bao +1
Quaternion contains one real part and three imaginary parts, which provided a more expressive hypercomplex space for learning knowledge graph. Existing quaternion embedding models…
Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
Cunda Wang, Weihua Wang, Qiuyu Liang +2
Entity alignment aims to match identical entities across different knowledge graphs (KGs). Graph neural network-based entity alignment methods have achieved promising results in Eu…
Fully Hyperbolic Rotation for Knowledge Graph Embedding
Qiuyu Liang, Weihua Wang, Feilong Bao +1
Hyperbolic rotation is commonly used to effectively model knowledge graphs and their inherent hierarchies. However, existing hyperbolic rotation models rely on logarithmic and expo…
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
Qiuyu Liang, Weihua Wang, Feilong Bao +1
Linear Graph Convolutional Networks (GCNs) are used to classify the node in the graph data. However, we note that most existing linear GCN models perform neural network operations…
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset
Kailin Liang, Bin Liu, Yifan Hu +3
Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays. Mongolian is the official language of the Inner Mongoli…
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline
Yifan Hu, Pengkai Yin, Rui Liu +2
This paper introduces a high-quality open-source text-to-speech (TTS) synthesis dataset for Mongolian, a low-resource language spoken by over 10 million people worldwide. The datas…
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS
Rui Liu, Berrak Sisman, Feilong Bao +2
Tacotron-based end-to-end speech synthesis has shown remarkable voice quality. However, the rendering of prosody in the synthesized speech remains to be improved, especially for lo…
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss
Rui Liu, Berrak Sisman, Feilong Bao +2
Tacotron-based text-to-speech (TTS) systems directly synthesize speech from text input. Such frameworks typically consist of a feature prediction network that maps character sequen…
Teacher-Student Training for Robust Tacotron-based TTS
Rui Liu, Berrak Sisman, Jingdong Li +3
While neural end-to-end text-to-speech (TTS) is superior to conventional statistical methods in many ways, the exposure bias problem in the autoregressive models remains an issue t…