Search Results for author: Yao Xiao

Found 19 papers, 2 papers with code

End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning

no code implementations25 Apr 2022 Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore Willke, Shahin Nazarian, Paul Bogdan

To enable heterogeneous computing systems with autonomous programming and optimization capabilities, we propose a unified, end-to-end, programmable graph representation learning (PGL) framework that is capable of mining the complexity of high-level programs down to the universal intermediate representation, extracting the specific computational patterns and predicting which code segments would run best on a specific core in heterogeneous hardware platforms.

Graph Representation Learning

Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization

no code implementations6 Dec 2021 Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti

(2) They lack convexity constraints, which is important for meaningfully manipulating specific attributes for downstream tasks.

Data Augmentation Disentanglement +2

Towards Generic Interface for Human-Neural Network Knowledge Exchange

no code implementations29 Sep 2021 Yunhao Ge, Yao Xiao, Zhi Xu, Linwei Li, Ziyan Wu, Laurent Itti

Take image classification as an example, HNI visualizes the reasoning logic of a NN with class-specific Structural Concept Graphs (c-SCG), which are human-interpretable.

Image Classification Zero-Shot Learning

Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction

1 code implementation11 Sep 2021 Guoshun Nan, Guoqing Luo, Sicong Leng, Yao Xiao, Wei Lu

Dialogue-based relation extraction (DiaRE) aims to detect the structural information from unstructured utterances in dialogues.

Dialog Relation Extraction

Interventional Video Grounding with Dual Contrastive Learning

1 code implementation CVPR 2021 Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu

2) Meanwhile, we introduce a dual contrastive learning approach (DCL) to better align the text and video by maximizing the mutual information (MI) between query and video clips, and the MI between start/end frames of a target moment and the others within a video to learn more informative visual representations.

Causal Inference Contrastive Learning +1

EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds

no code implementations21 May 2021 Leilei Cao, Yao Xiao, Lin Xu

Modern face detectors employ feature pyramids to deal with scale variation.

Face Detection

Generative Auto-Encoder: Non-adversarial Controllable Synthesis with Disentangled Exploration

no code implementations1 Jan 2021 Yunhao Ge, Gan Xin, Zhi Xu, Yao Xiao, Yunkui Pang, Yining HE, Laurent Itti

DEAE can become a generative model and synthesis semantic controllable samples by interpolating latent code, which can even synthesis novel attribute value never is shown in the original dataset.

Data Augmentation Disentanglement +1

Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion

no code implementations27 Nov 2020 Lyujie Chen, Xiaming Yuan, Yao Xiao, Yiding Zhang, Jihong Zhu

We have conducted extensive autonomous landing experiments in a variety of familiar or completely unknown environments, verifying that our model can adaptively balance the accuracy and speed, and the UAV can robustly select a safe landing site.

Depth Completion

Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers

no code implementations15 Nov 2020 Yao Xiao, Yijun Zhao

We trained our model using the publicly available UTKFace dataset and evaluated our model by simulating up to 100 years of aging on 1, 156 male and 1, 207 female infant and toddler face photos.

Batch Sequential Adaptive Designs for Global Optimization

no code implementations21 Oct 2020 Jianhui Ning, Yao Xiao, Zikang Xiong

The computation burden of the new method is much lighter, and the points clustering is also avoided.

A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems

no code implementations9 Oct 2020 Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan

High-level applications, such as machine learning, are evolving from simple models based on multilayer perceptrons for simple image recognition to much deeper and more complex neural networks for self-driving vehicle control systems. The rapid increase in the consumption of memory and computational resources by these models demands the use of multi-core parallel systems to scale the execution of the complex emerging applications that depend on them.

Template-Instance Loss for Offline Handwritten Chinese Character Recognition

no code implementations12 Oct 2019 Yao Xiao, Dan Meng, Cewu Lu, Chi-Keung Tang

The long-standing challenges for offline handwritten Chinese character recognition (HCCR) are twofold: Chinese characters can be very diverse and complicated while similarly looking, and cursive handwriting (due to increased writing speed and infrequent pen lifting) makes strokes and even characters connected together in a flowing manner.

Offline Handwritten Chinese Character Recognition

Vehicle Detection in Deep Learning

no code implementations29 May 2019 Yao Xiao

Computer vision is developing rapidly with the support of deep learning techniques.

Region Proposal

A Supervised STDP-based Training Algorithm for Living Neural Networks

no code implementations30 Oct 2017 Yuan Zeng, Kevin Devincentis, Yao Xiao, Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky

Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.

Drug Discovery General Classification +4

1-HKUST: Object Detection in ILSVRC 2014

no code implementations22 Sep 2014 Cewu Lu, Hao Chen, Qifeng Chen, Hei Law, Yao Xiao, Chi-Keung Tang

We participated in the object detection track of ILSVRC 2014 and received the fourth place among the 38 teams.

Object Detection Object Localization +1

Cannot find the paper you are looking for? You can Submit a new open access paper.