3 citations · 5 across the 4 of their papers we have counts for
6 papers
Aggressive Post-Training Compression on Extremely Large Language Models
Zining Zhang, Yao Chen, Bingsheng He +1
The increasing size and complexity of Large Language Models (LLMs) pose challenges for their deployment on personal computers and mobile devices. Aggressive post-training model com…
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks
Zining Zhang, Bingsheng He, Zhenjie Zhang
To efficiently perform inference with neural networks, the underlying tensor programs require sufficient tuning efforts before being deployed into production environments. Usually,…
TransMask: A Compact and Fast Speech Separation Model Based on Transformer
Zining Zhang, Bingsheng He, Zhenjie Zhang
Speech separation is an important problem in speech processing, which targets to separate and generate clean speech from a mixed audio containing speech from different speakers. Em…
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus
Zining Zhang, Bingsheng He, Zhenjie Zhang
Non-parallel many-to-many voice conversion is recently attract-ing huge research efforts in the speech processing community. A voice conversion system transforms an utterance of a…
X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network
Zining Zhang, Bingsheng He, Zhenjie Zhang
Extracting the speech of a target speaker from mixed audios, based on a reference speech from the target speaker, is a challenging yet powerful technology in speech processing. Rec…
Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging
Yeqi Bai, Tao Ma, Lipo Wang +1
While deep learning technologies are now capable of generating realistic images confusing humans, the research efforts are turning to the synthesis of images for more concrete and…