682 citations · 2.5k across the 94 of their papers we have counts for
9 papers · 1 filter
Experimental Quantum Switching for Exponentially Superior Quantum Communication Complexity
Kejin Wei, Nora Tischler, Si-Ran Zhao +13
Finding exponential separation between quantum and classical information tasks is like striking gold in quantum information research. Such an advantage is believed to hold for quan…
Topology optimization of micro-structured materials featured with the specific mechanical properties
Jie Gao, Hao Li, Zhen Luo +2
Micro-structured materials consisting of an array of microstructures are engineered to provide the specific material properties. This present work investigates the design of cellul…
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
Yi Zhou, Liwen Hu, Jun Xing +4
We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image. Our method can recover local strand details and has real-time performance.…
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System
Hao Li, Yongguo Kang, Zhenyu Wang
We present EMPHASIS, an emotional phoneme-based acoustic model for speech synthesis system. EMPHASIS includes a phoneme duration prediction model and an acoustic parameter predicti…
Large-scale Distance Metric Learning with Uncertainty
Qi Qian, Jiasheng Tang, Hao Li +2
Distance metric learning (DML) has been studied extensively in the past decades for its superior performance with distance-based algorithms. Most of the existing methods propose to…
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks
Sitao Xiang, Hao Li
Deep learning-based style transfer between images has recently become a popular area of research. A common way of encoding "style" is through a feature representation based on the…
Robust Optimization over Multiple Domains
Qi Qian, Shenghuo Zhu, Jiasheng Tang +3
In this work, we study the problem of learning a single model for multiple domains. Unlike the conventional machine learning scenario where each domain can have the corresponding m…
On Modular Training of Neural Acoustics-to-Word Model for LVCSR
Zhehuai Chen, Qi Liu, Hao Li +1
End-to-end (E2E) automatic speech recognition (ASR) systems directly map acoustics to words using a unified model. Previous works mostly focus on E2E training a single model which…
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras
Liuyuan Deng, Ming Yang, Hao Li +3
Understanding the surrounding environment of the vehicle is still one of the challenges for autonomous driving. This paper addresses 360-degree road scene semantic segmentation usi…