Search Results for author: Wei Huang

Found 31 papers, 16 papers with code

Deep Active Learning by Leveraging Training Dynamics

no code implementations16 Oct 2021 Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He

Active learning theories and methods have been extensively studied in classical statistical learning settings.

Active Learning

Long-tailed Distribution Adaptation

1 code implementation6 Oct 2021 Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye

We propose to jointly optimize empirical risks of the unbalanced and balanced domains and approximate their domain divergence by intra-class and inter-class distances, with the aim to adapt models trained on the long-tailed distribution to general distributions in an interpretable way.

Domain Adaptation Instance Segmentation +2

Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification

no code implementations17 Sep 2021 Wei Huang, Chen Liu, Yihua Zhao, Xinyun Yang, Zhaoming Pan, Zhimin Zhang, Guiquan Liu

Hierarchical Text Classification (HTC), which aims to predict text labels organized in hierarchical space, is a significant task lacking in investigation in natural language processing.

Hierarchical structure Text Classification

Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking

1 code implementation31 Jul 2021 Jingxian Sun, Lichao Zhang, Yufei zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang

To solve this problem, we propose to distill representations of the TIR modality from the RGB modality with Cross-Modal Distillation (CMD) on a large amount of unlabeled paired RGB-TIR data.

Transfer Learning

Heterogeneous network-based drug repurposing for COVID-19

1 code implementation20 Jul 2021 Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng

The Corona Virus Disease 2019 (COVID-19) belongs to human coronaviruses (HCoVs), which spreads rapidly around the world.

Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective

no code implementations22 Jun 2021 Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari

By leveraging recent techniques on the network pruning at initialization, we designed a FreeFlow proxy to score the importance of candidate operations in NAS without any training nor labels, and proposed a novel framework called \textit{training and label free neural architecture search} (\textbf{FreeNAS}) accordingly.

Network Pruning Neural Architecture Search

Conformer: Local Features Coupling Global Representations for Visual Recognition

3 code implementations ICCV 2021 Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, YaoWei Wang, Jianbin Jiao, Qixiang Ye

Within Convolutional Neural Network (CNN), the convolution operations are good at extracting local features but experience difficulty to capture global representations.

Image Classification Instance Segmentation +3

PD-GAN: Probabilistic Diverse GAN for Image Inpainting

1 code implementation CVPR 2021 Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao

To this end, we propose spatially probabilistic diversity normalization (SPDNorm) inside the modulation to model the probability of generating a pixel conditioned on the context information.

Image Inpainting Image Restoration

Advanced Deep Networks for 3D Mitochondria Instance Segmentation

1 code implementation16 Apr 2021 Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong

Mitochondria instance segmentation from electron microscopy (EM) images has seen notable progress since the introduction of deep learning methods.

3D Instance Segmentation Denoising +2

Detecting Operational Adversarial Examples for Reliable Deep Learning

no code implementations13 Apr 2021 Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang

The utilisation of Deep Learning (DL) raises new challenges regarding its dependability in critical applications.

Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information

no code implementations24 Mar 2021 Wei Huang, Richard Combes, Cindy Trinh

We propose a novel algorithm for multi-player multi-armed bandits without collision sensing information.

Multi-Armed Bandits

DeFLOCNet: Deep Image Editing via Flexible Low-level Controls

1 code implementation CVPR 2021 Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bing Jiang, Wei Liu

While existing methods combine an input image and these low-level controls for CNN inputs, the corresponding feature representations are not sufficient to convey user intentions, leading to unfaithfully generated content.

Texture Synthesis

Sequential Random Network for Fine-grained Image Classification

no code implementations12 Mar 2021 Chaorong Li, Malu Zhang, Wei Huang, Fengqing Qin, Anping Zeng, Yuanyuan Huang

To address this issue, we use the proposed SRN which composed of BiLSTM and several Tanh-Dropout blocks (called BiLSTM-TDN), to further process DCNN one-dimensional features for highlighting the detail information of image.

Classification

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective

no code implementations3 Mar 2021 Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen, Miao Zhang

To overcome the exponential decay problem more fundamentally, we propose Critical DropEdge, a connectivity-aware and graph-adaptive sampling method, inspired by our theoretical insights on trainability.

A Unified Framework for Specification Tests of Continuous Treatment Effect Models

no code implementations16 Feb 2021 Wei Huang, Oliver Linton, Zheng Zhang

We propose a general framework for the specification testing of continuous treatment effect models.

Fairness and Accuracy in Federated Learning

no code implementations18 Dec 2020 Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang

An appropriate weight selection algorithm that combines the information quantity of training accuracy and training frequency to measure the weights is proposed.

Fairness Federated Learning

BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations

2 code implementations5 Dec 2020 Xingyu Zhao, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn

Given the pressing need for assuring algorithmic transparency, Explainable AI (XAI) has emerged as one of the key areas of AI research.

Implicit bias of deep linear networks in the large learning rate phase

no code implementations25 Nov 2020 Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu

We claim that depending on the separation conditions of data, the gradient descent iterates will converge to a flatter minimum in the catapult phase.

Embedding and Extraction of Knowledge in Tree Ensemble Classifiers

1 code implementation16 Oct 2020 Wei Huang, Xingyu Zhao, Xiaowei Huang

Whilst, as the increasing use of machine learning models in security-critical applications, the embedding and extraction of malicious knowledge are equivalent to the notorious backdoor attack and its defence, respectively.

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

1 code implementation ECCV 2020 Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang

We use CNN features from the deep and shallow layers of the encoder to represent structures and textures of an input image, respectively.

Image Inpainting

Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface

no code implementations19 May 2020 Wei Huang, Yong Zeng, Yongming Huang

This paper investigates the achievable rate region of the multiple-input single-output (MISO) interference channel aided by intelligent reflecting surfaces (IRSs).

On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization

3 code implementations13 Apr 2020 Wei Huang, Weitao Du, Richard Yi Da Xu

The prevailing thinking is that orthogonal weights are crucial to enforcing dynamical isometry and speeding up training.

Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems

2 code implementations19 Dec 2019 Wei Huang, Richard Yi Da Xu

Our work is primarily inspired by the Gaussian Process Latent Variable Model (GPLVM), which was a non-linear dimensionality reduction method.

Dimensionality Reduction Recommendation Systems

Mean field theory for deep dropout networks: digging up gradient backpropagation deeply

1 code implementation19 Dec 2019 Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao

In recent years, the mean field theory has been applied to the study of neural networks and has achieved a great deal of success.

One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block

no code implementations18 Dec 2019 Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang

However, the two-stage architecture is time-consuming, the contextual information lack high-level semantics and ignores both the semantic relevance and distance information of hole's feature patches, these limitations result in blurry textures and distorted structures of final result.

Image Inpainting Texture Synthesis

Coverage Guided Testing for Recurrent Neural Networks

1 code implementation5 Nov 2019 Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang

The test metrics and test case generation algorithm are implemented into a tool TestRNN, which is then evaluated on a set of LSTM benchmarks.

Defect Detection Drug Discovery +3

Transferability of Spectral Graph Convolutional Neural Networks

no code implementations30 Jul 2019 Ron Levie, Wei Huang, Lorenzo Bucci, Michael M. Bronstein, Gitta Kutyniok

Transferability, which is a certain type of generalization capability, can be loosely defined as follows: if two graphs describe the same phenomenon, then a single filter or ConvNet should have similar repercussions on both graphs.

testRNN: Coverage-guided Testing on Recurrent Neural Networks

1 code implementation20 Jun 2019 Wei Huang, Youcheng Sun, Xiaowei Huang, James Sharp

Recurrent neural networks (RNNs) have been widely applied to various sequential tasks such as text processing, video recognition, and molecular property prediction.

Molecular Property Prediction Video Recognition

Attributes-aided Part Detection and Refinement for Person Re-identification

no code implementations27 Feb 2019 Shuzhao Li, Huimin Yu, Wei Huang, Jing Zhang

Person attributes are often exploited as mid-level human semantic information to help promote the performance of person re-identification task.

Person Re-Identification

Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization

no code implementations1 May 2018 Wei Huang, Tao Xu, Kangshun Li, Jun He

PMODE and HECO-PDE are compared with the algorithms from the IEEE CEC 2018 competition and another recent MOEA for constrained optimisation.

Multiobjective Optimization

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