b'Han Xiao'

research

∙ 05/17/2023

G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks

It has become a popular paradigm to transfer the knowledge of large-scal...

0 Anchun Gui, et al. ∙

research

∙ 05/08/2023

HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation

To fully leverage the advantages of large-scale pre-trained language mod...

0 Anchun Gui, et al. ∙

research

∙ 05/06/2023

Simultaneously Transmitting and Reflecting RIS (STAR-RIS) Assisted Multi-Antenna Covert Communications: Analysis and Optimization

This paper investigates the multi-antenna covert communications assisted...

0 Han Xiao, et al. ∙

research

∙ 05/06/2023

STAR-RIS Aided Covert Communication

This paper investigates the multi-antenna covert communications assisted...

0 Han Xiao, et al. ∙

research

∙ 04/13/2023

Learning Accurate Performance Predictors for Ultrafast Automated Model Compression

In this paper, we propose an ultrafast automated model compression frame...

0 Ziwei Wang, et al. ∙

research

∙ 10/12/2022

Token-Label Alignment for Vision Transformers

Data mixing strategies (e.g., CutMix) have shown the ability to greatly ...

0 Han Xiao, et al. ∙

research

∙ 10/04/2022

Concise and interpretable multi-label rule sets

Multi-label classification is becoming increasingly ubiquitous, but not ...

24 Martino Ciaperoni, et al. ∙

research

∙ 06/20/2022

Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

In this paper, we propose a Shapley value based method to evaluate opera...

0 Han Xiao, et al. ∙

research

∙ 06/01/2022

Support Vector Machines under Adversarial Label Contamination

Machine learning algorithms are increasingly being applied in security-r...

11 Huang Xiao, et al. ∙

research

∙ 03/31/2022

On the Population Monotonicity of Independent Set Games

An independent set game is a cooperative game defined on graphs and deal...

0 Libing Wang, et al. ∙

research

∙ 10/03/2021

Multi-linear Tensor Autoregressive Models

Contemporary time series analysis has seen more and more tensor type dat...

0 Zebang Li, et al. ∙

research

∙ 08/21/2021

Equivariant Variance Estimation for Multiple Change-point Model

The variance of noise plays an important role in many change-point detec...

0 Ning Hao, et al. ∙

research

∙ 08/05/2021

Generalizable Mixed-Precision Quantization via Attribution Rank Preservation

In this paper, we propose a generalizable mixed-precision quantization (...

0 Ziwei Wang, et al. ∙

research

∙ 07/03/2021

Approximate Core Allocations for Multiple Partners Matching Games

The multiple partners matching game is a cooperative profit-sharing game...

0 Han Xiao, et al. ∙

research

∙ 05/12/2021

Generalized Autoregressive Moving Average Models with GARCH Errors

One of the important and widely used classes of models for non-Gaussian ...

0 Tingguo Zheng, et al. ∙

research

∙ 05/03/2021

Population Monotonicity in Matching Games

A matching game is a cooperative profit game defined on an edge-weighted...

0 Han Xiao, et al. ∙

research

∙ 10/18/2020

Arboricity Games: the Core and the Nucleolus

The arboricity of a network is the minimum number of forests needed to c...

0 Han Xiao, et al. ∙

research

∙ 02/20/2020

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

According to the World Health Organization, the number of mental disorde...

0 Hanshu Cai, et al. ∙

research

∙ 02/20/2020

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

According to the World Health Organization, the number of mental disorde...

0 Hanshu Cai, et al. ∙

research

∙ 02/07/2020

Population Monotonic Allocation Schemes for Vertex Cover Games

For the class of vertex cover games (introduced by Deng et al., Math. Op...

0 Han Xiao, et al. ∙

research

∙ 01/26/2020

Searching for polarization in signed graphs: a local spectral approach

Signed graphs have been used to model interactions in social net-works, ...

0 Han Xiao, et al. ∙

research

∙ 12/06/2019

Hybrid Kronecker Product Decomposition and Approximation

Discovering the underlying low dimensional structure of high dimensional...

0 Chencheng Cai, et al. ∙

research

∙ 12/05/2019

KoPA: Automated Kronecker Product Approximation

We consider matrix approximation induced by the Kronecker product decomp...

6 Chencheng Cai, et al. ∙

research

∙ 11/26/2019

Stable Matrix Completion using Properly Configured Kronecker Product Decomposition

Matrix completion problems are the problems of recovering missing entrie...

7 Chencheng Cai, et al. ∙

research

∙ 11/08/2019

On the Convexity of Independent Set Games

This paper investigates independent set games (introduced by Deng et al....

0 Qizhi Fang, et al. ∙

research

∙ 04/24/2019

Asynchronous "Events" are Better For Motion Estimation

Event-based camera is a bio-inspired vision sensor that records intensit...

0 Yuhu Guo, et al. ∙

research

∙ 04/17/2019

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

Extreme multi-label classification refers to supervised multi-label lear...

0 Sujay Khandagale, et al. ∙

research

∙ 12/21/2018

Autoregressive Models for Matrix-Valued Time Series

In finance, economics and many other fields, observations in a matrix fo...

0 Rong Chen, et al. ∙

research

∙ 09/06/2018

Dual Ask-Answer Network for Machine Reading Comprehension

There are three modalities in the reading comprehension setting: questio...

0 Han Xiao, et al. ∙

research

∙ 07/12/2018

Multi-Perspective Neural Architecture for Recommendation System

Currently, there starts a research trend to leverage neural architecture...

0 Han Xiao, et al. ∙

research

∙ 01/09/2018

Convexification of Neural Graph

Traditionally, most complex intelligence architectures are extremely non...

0 Han Xiao, et al. ∙

research

∙ 01/05/2018

Intelligence Graph

In fact, there exist three genres of intelligence architectures: logics ...

0 Han Xiao, et al. ∙

research

∙ 12/16/2017

NDT: Neual Decision Tree Towards Fully Functioned Neural Graph

Though traditional algorithms could be embedded into neural architecture...

0 Han Xiao, et al. ∙

research

∙ 12/07/2017

Hungarian Layer: Logics Empowered Neural Architecture

Neural architecture is a purely numeric framework, which fits the data a...

0 Han Xiao, et al. ∙

research

∙ 08/25/2017

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

We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale im...

0 Han Xiao, et al. ∙

research

∙ 04/17/2016

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

Knowledge representation is an important, long-history topic in AI, and ...

0 Han Xiao, et al. ∙

research

∙ 12/15/2015

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

Knowledge graph embedding aims at offering a numerical knowledge represe...

0 Han Xiao, et al. ∙

research

∙ 09/18/2015

TransA: An Adaptive Approach for Knowledge Graph Embedding

Knowledge representation is a major topic in AI, and many studies attemp...

0 Han Xiao, et al. ∙

research

∙ 09/18/2015

TransG : A Generative Mixture Model for Knowledge Graph Embedding

Recently, knowledge graph embedding, which projects symbolic entities an...

0 Han Xiao, et al. ∙

Han Xiao

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