Search Results for author: Han Xiao

Found 27 papers, 6 papers with code

Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

1 code implementation CVPR 2022 Han Xiao, Ziwei Wang, Zheng Zhu, Jie zhou, Jiwen Lu

Differentiable architecture search (DARTS) acquires the optimal architectures by optimizing the architecture parameters with gradient descent, which significantly reduces the search cost.

Neural Architecture Search

AI Enlightens Wireless Communication: A Transformer Backbone for CSI Feedback

no code implementations16 Jun 2022 Han Xiao, Zhiqin Wang, Dexin Li, Wenqiang Tian, Xiaofeng Liu, Wendong Liu, Shi Jin, Jia Shen, Zhi Zhang, Ning Yang

This paper is based on the background of the 2nd Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AIWork Group, where the framework of the eigenvector-based channel state information (CSI) feedback problem is firstly provided.

Data Augmentation

Support Vector Machines under Adversarial Label Contamination

no code implementations1 Jun 2022 Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli

Machine learning algorithms are increasingly being applied in security-related tasks such as spam and malware detection, although their security properties against deliberate attacks have not yet been widely understood.

Active Learning BIG-bench Machine Learning +1

Generalizable Mixed-Precision Quantization via Attribution Rank Preservation

1 code implementation ICCV 2021 Ziwei Wang, Han Xiao, Jiwen Lu, Jie zhou

On the contrary, our GMPQ searches the mixed-quantization policy that can be generalized to largescale datasets with only a small amount of data, so that the search cost is significantly reduced without performance degradation.

Quantization

AI Enlightens Wireless Communication: Analyses, Solutions and Opportunities on CSI Feedback

no code implementations12 Jun 2021 Han Xiao, Zhiqin Wang, Wenqiang Tian, Xiaofeng Liu, Wendong Liu, Shi Jin, Jia Shen, Zhi Zhang, Ning Yang

In this paper, we give a systematic description of the 1st Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AI Work Group.

Quantization

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

no code implementations20 Feb 2020 Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Guoping Gao, Fang Zheng, Rui Li, Zhihua Guo, Rong Ma, Jing Yang, Lan Zhang, Xiping Hu, Yumin Li, Bin Hu

The EEG dataset includes not only data collected using traditional 128-electrodes mounted elastic cap, but also a novel wearable 3-electrode EEG collector for pervasive applications.

EEG

Searching for polarization in signed graphs: a local spectral approach

1 code implementation26 Jan 2020 Han Xiao, Bruno Ordozgoiti, Aristides Gionis

In this paper we formulate the problem of finding local polarized communities in signed graphs as a locally-biased eigen-problem.

Hybrid Kronecker Product Decomposition and Approximation

no code implementations6 Dec 2019 Chencheng Cai, Rong Chen, Han Xiao

As an effective dimension reduction tool, singular value decomposition is often used to analyze high dimensional matrices, which are traditionally assumed to have a low rank matrix approximation.

Dimensionality Reduction

KoPA: Automated Kronecker Product Approximation

no code implementations5 Dec 2019 Chencheng Cai, Rong Chen, Han Xiao

Specifically, we propose to approximate a given matrix by the sum of a few Kronecker products of matrices, which we refer to as the Kronecker product approximation (KoPA).

Denoising

Matrix Completion using Kronecker Product Approximation

no code implementations26 Nov 2019 Chencheng Cai, Rong Chen, Han Xiao

A matrix completion problem is to recover the missing entries in a partially observed matrix.

Collaborative Filtering Denoising +1

Asynchronous "Events" are Better For Motion Estimation

no code implementations24 Apr 2019 Yuhu Guo, Han Xiao, Yidong Chen, Xiaodong Shi

As an instance of event-based camera, Dynamic and Active-pixel Vision Sensor (DAVIS) combines a standard camera and an event-based camera.

Motion Estimation

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

3 code implementations17 Apr 2019 Sujay Khandagale, Han Xiao, Rohit Babbar

In this paper, we develop a suite of algorithms, called Bonsai, which generalizes the notion of label representation in XMC, and partitions the labels in the representation space to learn shallow trees.

Extreme Multi-Label Classification General Classification +2

Dual Ask-Answer Network for Machine Reading Comprehension

1 code implementation6 Sep 2018 Han Xiao, Feng Wang, Jian-Feng Yan, Jingyao Zheng

The task of question answering or question generation aims to infer an answer or a question when given the counterpart based on context.

Machine Reading Comprehension Question Answering +1

Convexification of Neural Graph

no code implementations9 Jan 2018 Han Xiao

Traditionally, most complex intelligence architectures are extremely non-convex, which could not be well performed by convex optimization.

Intelligence Graph

no code implementations5 Jan 2018 Han Xiao

However, to construct powerful intelligence systems with various methods, we propose the intelligence graph (short as \textbf{\textit{iGraph}}), which is composed by both of neural and probabilistic graph, under the framework of forward-backward propagation.

NDT: Neual Decision Tree Towards Fully Functioned Neural Graph

no code implementations16 Dec 2017 Han Xiao

Though traditional algorithms could be embedded into neural architectures with the proposed principle of \cite{xiao2017hungarian}, the variables that only occur in the condition of branch could not be updated as a special case.

Hungarian Layer: Logics Empowered Neural Architecture

no code implementations7 Dec 2017 Han Xiao, Yidong Chen, Xiaodong Shi

However, lacking of logic flow (e. g. \textit{if, for, while}), traditional algorithms (e. g. \textit{Hungarian algorithm, A$^*$ searching, decision tress algorithm}) could not be embedded into this paradigm, which limits the theories and applications.

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

33 code implementations25 Aug 2017 Han Xiao, Kashif Rasul, Roland Vollgraf

We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70, 000 fashion products from 10 categories, with 7, 000 images per category.

BIG-bench Machine Learning

SAR: Semantic Analysis for Recommendation

no code implementations21 Feb 2017 Han Xiao, Lian Meng

Recommendation system is a common demand in daily life and matrix completion is a widely adopted technique for this task.

Matrix Completion

KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm

no code implementations27 Aug 2016 Han Xiao, Minlie Huang, Xiaoyan Zhu

Since both aspects and categories are semantics-relevant, the collection of categories in each aspect is treated as the semantic representation of this triple.

Entity Retrieval Knowledge Graph Embedding +1

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

no code implementations17 Apr 2016 Han Xiao, Minlie Huang, Xiaoyan Zhu

To this end, this paper proposes a semantic representation method for knowledge graph \textbf{(KSR)}, which imposes a two-level hierarchical generative process that globally extracts many aspects and then locally assigns a specific category in each aspect for every triple.

Knowledge Graph Embedding Question Answering

From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction

no code implementations15 Dec 2015 Han Xiao, Minlie Huang, Xiaoyan Zhu

Knowledge graph embedding aims at offering a numerical knowledge representation paradigm by transforming the entities and relations into continuous vector space.

Knowledge Graph Embedding Link Prediction

TransA: An Adaptive Approach for Knowledge Graph Embedding

no code implementations18 Sep 2015 Han Xiao, Minlie Huang, Yu Hao, Xiaoyan Zhu

Knowledge representation is a major topic in AI, and many studies attempt to represent entities and relations of knowledge base in a continuous vector space.

Knowledge Graph Embedding Metric Learning +1

TransG : A Generative Mixture Model for Knowledge Graph Embedding

no code implementations18 Sep 2015 Han Xiao, Minlie Huang, Yu Hao, Xiaoyan Zhu

Recently, knowledge graph embedding, which projects symbolic entities and relations into continuous vector space, has become a new, hot topic in artificial intelligence.

Knowledge Graph Embedding

Margin-Based Feed-Forward Neural Network Classifiers

no code implementations11 Jun 2015 Han Xiao, Xiaoyan Zhu

Margin-Based Principle has been proposed for a long time, it has been proved that this principle could reduce the structural risk and improve the performance in both theoretical and practical aspects.

Max-Entropy Feed-Forward Clustering Neural Network

no code implementations11 Jun 2015 Han Xiao, Xiaoyan Zhu

Entropy-Based Principle is the principle with which we could estimate the unknown distribution under some limited conditions.

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