Search Results for author: Hui Wang

Found 93 papers, 29 papers with code

Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

no code implementations19 Apr 2024 Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu

To address this challenge, DEEPEN maps the probability distribution of each model from the probability space to a universe relative space based on the relative representation theory, and performs aggregation.

Ensemble Learning

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities

1 code implementation7 Mar 2024 Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang

To solve this issue, we first introduce negative seed entities in the inputs, which belong to the same fine-grained semantic class as the positive seed entities but differ in certain attributes.

Attribute Contrastive Learning +1

COPR: Continual Human Preference Learning via Optimal Policy Regularization

no code implementations22 Feb 2024 Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu

Reinforcement Learning from Human Feedback (RLHF) is commonly utilized to improve the alignment of Large Language Models (LLMs) with human preferences.

Continual Learning

CPPO: Continual Learning for Reinforcement Learning with Human Feedback

no code implementations Conference 2024 Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu

The approach of Reinforcement Learning from Human Feedback (RLHF) is widely used for enhancing pre-trained Language Models (LM), enabling them to better align with human preferences.

Continual Learning reinforcement-learning

Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion

no code implementations16 Jan 2024 Ji Huang, Hui Wang

This allows the model to adaptively fuse feature maps from different levels and effectively integrate feature information from different scales.

Object object-detection +2

Training and Serving System of Foundation Models: A Comprehensive Survey

no code implementations5 Jan 2024 Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng

Additionally, the paper summarizes the challenges and presents a perspective on the future development direction of foundation model systems.

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models

no code implementations1 Jan 2024 Jinglong Luo, Yehong Zhang, JiaQi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

However, the application of SMPC in Privacy-Preserving Inference (PPI) for large language models, particularly those based on the Transformer architecture, often leads to considerable slowdowns or declines in performance.

Knowledge Distillation Privacy Preserving

Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features

no code implementations30 Dec 2023 Yuming Huang, Yingpin Chen, Changhui Wu, Hanrong Xie, Binhui Song, Hui Wang

In the local feature aggregation stage, we introduce a shift convolution to realize the interaction between local spatial information and channel information.

Image Super-Resolution

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection

no code implementations19 Dec 2023 Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu

In the rapidly growing digital economy, protecting intellectual property (IP) associated with digital products has become increasingly important.

Multimodality of AI for Education: Towards Artificial General Intelligence

no code implementations10 Dec 2023 Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai

This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intelligence (AGI) in educational contexts.

Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines

no code implementations8 Dec 2023 Hui Wang, Anh Dang, Zihao Wu, Son Mac

The advancements in Generative Artificial Intelligence (GenAI) technologies such as ChatGPT provide opportunities to enrich educational experiences, but also raise concerns about academic integrity if misused.

COPR: Continual Learning Human Preference through Optimal Policy Regularization

no code implementations24 Oct 2023 Han Zhang, Lin Gui, Yuanzhao Zhai, Hui Wang, Yu Lei, Ruifeng Xu

The technique of Reinforcement Learning from Human Feedback (RLHF) is a commonly employed method to improve pre-trained Language Models (LM), enhancing their ability to conform to human preferences.

Continual Learning reinforcement-learning

SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation

1 code implementation9 Sep 2023 Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang

Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare.

RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting

no code implementations31 Aug 2023 Hui Wang, Shiwan Zhao, Xiguang Zheng, Yong Qin

Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech.

Decoder Retrieval +1

Intelligence-Endogenous Management Platform for Computing and Network Convergence

no code implementations7 Aug 2023 Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao

Therefore, in this article, we present the concept of an intelligence-endogenous management platform for CNCs called \emph{CNC brain} based on artificial intelligence technologies.

Management Scheduling

Self-Distillation Network with Ensemble Prototypes: Learning Robust Speaker Representations without Supervision

1 code implementation5 Aug 2023 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Shiliang Zhang

It assigns representation of augmented views of utterances to the same prototypes as the representation of the original view, thereby enabling effective knowledge transfer between the views.

Representation Learning Speaker Verification +1

Model Provenance via Model DNA

no code implementations4 Aug 2023 Xin Mu, Yu Wang, Yehong Zhang, JiaQi Zhang, Hui Wang, Yang Xiang, Yue Yu

Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e. g., understanding where the model comes from, how it is trained, and how it is used).

Representation Learning

Personalized Federated Learning via Amortized Bayesian Meta-Learning

no code implementations5 Jul 2023 Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu

Federated learning is a decentralized and privacy-preserving technique that enables multiple clients to collaborate with a server to learn a global model without exposing their private data.

Meta-Learning Personalized Federated Learning +2

AOG-LSTM: An adaptive attention neural network for visual storytelling

no code implementations Neurocomputing 2023 Hanqing Liu, Jiacheng Yang, Chia-Hao Chang, Wei Wang, Hai-Tao Zheng, Yong Jiang, Hui Wang, Rui Xie, and Wei Wu

Moreover, the existing method of alleviating error accumulation based on replacing reference words does not take into account the different effects of each word.

Decoder Visual Storytelling

Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

no code implementations26 Jun 2023 Jinglong Luo, Yehong Zhang, JiaQi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

In contrast to existing studies that protect the data privacy of GPR via homomorphic encryption, differential privacy, or federated learning, our proposed method is more practical and can be used to preserve the data privacy of both the model inputs and outputs for various data-sharing scenarios (e. g., horizontally/vertically-partitioned data).

Federated Learning GPR +2

Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization

no code implementations22 May 2023 Luyao Cheng, Siqi Zheng, Zhang Qinglin, Hui Wang, Yafeng Chen, Qian Chen

In this paper, we propose methods to extract speaker-related information from semantic content in multi-party meetings, which, as we will show, can further benefit speaker diarization.

speaker-diarization Speaker Diarization +1

An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification

2 code implementations22 May 2023 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Jiajun Qi

This paper proposes a novel architecture called Enhanced Res2Net (ERes2Net), which incorporates both local and global feature fusion techniques to improve the performance.

Speaker Verification

A novel parameter decoupling approach of personalized federated learning for image analysis

no code implementations IET computer vision 2023 Ruizheng Su, Xiongwen Pang, Hui Wang

To address the problem of the statistical heterogeneity in image analysis, PCCFED, a personalised federated learning method utilizing the strategy of parameter decoupling is proposed.

Personalized Federated Learning

Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search

no code implementations26 Feb 2023 Hui Wang, Abdallah Saffidine, Tristan Cazenave

First, a nesting of the tree search inspired by the Nested Monte Carlo Search algorithm is effective on most instance types in the benchmark.

The most probable dynamics of receptor-ligand binding on cell membrane

no code implementations16 Feb 2023 Xi Chen, Hui Wang, Jinqiao Duan

We consider the dynamics of a receptor binding to a ligand on the cell membrane, where the receptor and ligand perform different motions and are thus modeled by stochastic differential equations with Gaussian noise or non-Gaussian noise.

Semantic Feature Integration network for Fine-grained Visual Classification

no code implementations13 Feb 2023 Hui Wang, Yueyang Li, Haichi Luo

By eliminating unnecessary features and reconstructing the semantic relations among discriminative features, our SFI-Net has achieved satisfying performance.

Classification Fine-Grained Image Classification

Robust Split Federated Learning for U-shaped Medical Image Networks

1 code implementation13 Dec 2022 Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang

To achieve this goal, in this paper, we propose Robust Split Federated Learning (RoS-FL) for U-shaped medical image networks, which is a novel hybrid learning paradigm of FL and SL.

Federated Learning

Integrated optimization of train timetables rescheduling and response vehicles on a disrupted metro line

no code implementations12 Dec 2022 Hui Wang, Jialin Liu, Feng Li, Hao Ji, Bin Jia, Ziyou Gao

Numerical cases of Beijing Metro Line 9 verify the efficiency and effectiveness of our proposed model, and results show that: (1) when occurring a disruption event during peak hours, the impact on the normal timetable is greater, and passengers in the direction with fewer train services are more affected; (2) if passengers stranded at the terminal stations of disruption area are not transported in time, they will rapidly increase at a speed of more than 300 passengers per minute; (3) compared with the fixed shortest path, using the response vehicles reduces the total travel time about 7%.

Pushing the limits of self-supervised speaker verification using regularized distillation framework

1 code implementation8 Nov 2022 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen

A range of experiments conducted on the VoxCeleb datasets demonstrate the superiority of the regularized DINO framework in speaker verification.

Data Augmentation Self-Supervised Learning +1

A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms

no code implementations8 Sep 2022 Hui Wang, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, Jiangpeng Li

However, with wide applications of deep learning in robotic arms, there are new challenges such as the allocation of grasping computing power and the growing demand for security.

Decoder Image Compression

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

1 code implementation23 Jun 2022 Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li

Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.

Conditional Image Generation Denoising

Motion Gait: Gait Recognition via Motion Excitation

no code implementations22 Jun 2022 Yunpeng Zhang, Zhengyou Wang, Shanna Zhuang, Hui Wang

Gait recognition, which can realize long-distance and contactless identification, is an important biometric technology.

Gait Recognition

Exploring evolution-aware & -free protein language models as protein function predictors

1 code implementation14 Jun 2022 Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding

Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ranging from 3D structure prediction to various function predictions.

Multiple Sequence Alignment

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation

no code implementations10 Jun 2022 Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen

Relevant recommendation is a special recommendation scenario which provides relevant items when users express interests on one target item (e. g., click, like and purchase).

Disentanglement Re-Ranking

Encoded Gradients Aggregation against Gradient Leakage in Federated Learning

no code implementations26 May 2022 Dun Zeng, Shiyu Liu, Siqi Liang, Zonghang Li, Hui Wang, Irwin King, Zenglin Xu

However, privacy information could be leaked from uploaded gradients and be exposed to malicious attackers or an honest-but-curious server.

Federated Learning

Cross-Enhancement Transformer for Action Segmentation

1 code implementation19 May 2022 Jiahui Wang, Zhenyou Wang, Shanna Zhuang, Hui Wang

Temporal convolutions have been the paradigm of choice in action segmentation, which enhances long-term receptive fields by increasing convolution layers.

Action Segmentation Decoder +1

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction

no code implementations29 Apr 2022 Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang

It is a time-aware, event-aware and task-adaptive method with the following advantages: 1) modeling heterogeneous information and temporal information in a unified way and considering temporal irregular characteristics locally and globally respectively, 2) taking full advantage of correlations among different types of events via cross-event attention.

Time Series Analysis

Unsupervised Quantized Prosody Representation for Controllable Speech Synthesis

no code implementations7 Apr 2022 Yutian Wang, Yuankun Xie, Kun Zhao, Hui Wang, Qin Zhang

In this paper, we propose a novel prosody disentangle method for prosodic Text-to-Speech (TTS) model, which introduces the vector quantization (VQ) method to the auxiliary prosody encoder to obtain the decomposed prosody representations in an unsupervised manner.

Quantization Speech Synthesis

Graph-based Approximate NN Search: A Revisit

no code implementations2 Apr 2022 Hui Wang, Yong Wang, Wan-Lei Zhao

For the graph construction, a two-stage graph diversification scheme is proposed, which makes a good trade-off between the efficiency and reachability for the search procedure that builds upon it.

graph construction Information Retrieval +1

Multimodal data matters: language model pre-training over structured and unstructured electronic health records

1 code implementation25 Jan 2022 Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang

As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain.

Decision Making Language Modelling +1

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs

1 code implementation25 Jan 2022 Zhe Lin, Zike Yuan, Jieru Zhao, Wei zhang, Hui Wang, Yonghong Tian

Specifically, in the graph construction flow, we introduce buffer insertion, datapath merging, graph trimming and feature annotation techniques to transform HLS designs into graph-structured data, which encode both intra-operation micro-architectures and inter-operation interconnects annotated with switching activities.

graph construction Graph Learning

A Survey on Neural-symbolic Learning Systems

no code implementations10 Nov 2021 Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan

In recent years, neural systems have demonstrated highly effective learning ability and superior perception intelligence.

Meter-Range Wireless Motor Drive for Pipeline Transportation

no code implementations26 Oct 2021 Wei Liu, K. T. Chau, Hui Wang, Tengbo Yang

This paper proposes and implements a meter-range wireless motor drive (WMD) system for promising applications of underground pipeline transportations or in-pipe robots.

Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement

1 code implementation13 Oct 2021 Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang

Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance.

Speech Enhancement

A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement

no code implementations5 Sep 2021 Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng

After that, the second stage is applied to further suppress the residual noise components and estimate the clean phase by a complex spectral mapping network, which is a pure complex-valued network composed of complex 2D convolution/deconvolution and complex temporal-frequency attention blocks.

Denoising Speech Enhancement

FedLab: A Flexible Federated Learning Framework

1 code implementation24 Jul 2021 Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu

Federated learning (FL) is a machine learning field in which researchers try to facilitate model learning process among multiparty without violating privacy protection regulations.

Federated Learning

Progressive Class-based Expansion Learning For Image Classification

no code implementations28 Jun 2021 Hui Wang, Hanbin Zhao, Xi Li

In this paper, we propose a novel image process scheme called class-based expansion learning for image classification, which aims at improving the supervision-stimulation frequency for the samples of the confusing classes.

Classification Image Classification

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-$N$ Recommendation

no code implementations12 Jun 2021 Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen

Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-$N$ recommender systems, called \emph{HIN-based recommendation}.

Recommendation Systems

A Deep Variational Bayesian Framework for Blind Image Deblurring

no code implementations5 Jun 2021 Hui Wang, Zongsheng Yue, Qian Zhao, Deyu Meng

Under this framework, the posterior of the latent clean image and blur kernel can be jointly estimated in an amortized inference fashion with DNNs, and the involved inference DNNs can be trained by fully considering the physical blur model, together with the supervision of data driven priors for the clean image and blur kernel, which is naturally led to by the evidence lower bound objective.

Blind Image Deblurring Image Deblurring +1

Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning

no code implementations13 May 2021 Hui Wang, Mike Preuss, Aske Plaat

AlphaZero has achieved impressive performance in deep reinforcement learning by utilizing an architecture that combines search and training of a neural network in self-play.

Board Games reinforcement-learning +1

Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

no code implementations1 May 2021 Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang

In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.

energy trading Management +1

Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning

no code implementations4 Mar 2021 Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li

Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning.

General Classification Image Classification +2

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

1 code implementation3 Nov 2020 Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.

Collaborative Filtering Sequential Recommendation

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

1 code implementation3 Oct 2020 Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang

In particular, we aim to design an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints.

Edge-computing Networking and Internet Architecture

Leveraging Historical Interaction Data for Improving Conversational Recommender System

no code implementations19 Aug 2020 Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen

Most of the existing CRS methods focus on learning effective preference representations for users from conversation data alone.

Attribute Recommendation Systems

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

2 code implementations18 Aug 2020 Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen

To tackle this problem, we propose the model S^3-Rec, which stands for Self-Supervised learning for Sequential Recommendation, based on the self-attentive neural architecture.

Attribute Self-Supervised Learning +1

Memory Efficient Class-Incremental Learning for Image Classification

no code implementations4 Aug 2020 Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li

To cope with the forgetting problem, many CIL methods transfer the knowledge of old classes by preserving some exemplar samples into the size-constrained memory buffer.

Classification Class Incremental Learning +4

What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning

no code implementations24 Jul 2020 Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li

As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network.

Neural Architecture Search

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning

no code implementations14 Jun 2020 Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat

A later algorithm, Nested Rollout Policy Adaptation, was able to find a new record of 82 steps, albeit with large computational resources.

Game of Go reinforcement-learning +3

Warm-Start AlphaZero Self-Play Search Enhancements

no code implementations26 Apr 2020 Hui Wang, Mike Preuss, Aske Plaat

Recently, AlphaZero has achieved landmark results in deep reinforcement learning, by providing a single self-play architecture that learned three different games at super human level.

Board Games Evolutionary Algorithms

Iterative Context-Aware Graph Inference for Visual Dialog

1 code implementation CVPR 2020 Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang

Visual dialog is a challenging task that requires the comprehension of the semantic dependencies among implicit visual and textual contexts.

Graph Attention Graph Embedding +2

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

no code implementations12 Mar 2020 Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

A secondary result of our experiments concerns the choice of optimization goals, for which we also provide recommendations.

A Group Norm Regularized Factorization Model for Subspace Segmentation

no code implementations8 Jan 2020 Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang

Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace.

Clustering Graph Clustering +1

Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling

no code implementations1 Jan 2020 Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song

Accurate identification and localization of the vertebrae in CT scans is a critical and standard preprocessing step for clinical spinal diagnosis and treatment.

General Classification Multi-Label Classification +1

Composing Knowledge Graph Embeddings via Word Embeddings

no code implementations9 Sep 2019 Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang

As $(\mathbf{h},\mathbf{r},\mathbf{t})$ is learned from the existing facts within a knowledge graph, these representations can not be used to detect unknown facts (if the entities or relations never occur in the knowledge graph).

Knowledge Graph Completion Knowledge Graph Embedding +3

On the Merge of k-NN Graph

1 code implementation2 Aug 2019 Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo

Unfortunately, a closely related issue of how to merge two existing k-NN graphs has been overlooked.

graph construction Information Retrieval +1

Neural Machine Reading Comprehension: Methods and Trends

no code implementations2 Jul 2019 Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang

Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques over the past few years.

Machine Reading Comprehension

Hyper-Parameter Sweep on AlphaZero General

1 code implementation19 Mar 2019 Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

Therefore, in this paper, we choose 12 parameters in AlphaZero and evaluate how these parameters contribute to training.

Game of Go

Democratisation of Usable Machine Learning in Computer Vision

no code implementations18 Feb 2019 Raymond Bond, Ansgar Koene, Alan Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong

Many industries are now investing heavily in data science and automation to replace manual tasks and/or to help with decision making, especially in the realm of leveraging computer vision to automate many monitoring, inspection, and surveillance tasks.

BIG-bench Machine Learning Decision Making

Assessing the Potential of Classical Q-learning in General Game Playing

1 code implementation14 Oct 2018 Hui Wang, Michael Emmerich, Aske Plaat

For small games, simple classical table-based Q-learning might still be the algorithm of choice.

Board Games Q-Learning +2

Most Probable Evolution Trajectories in a Genetic Regulatory System Excited by Stable Lévy Noise

no code implementations9 Oct 2018 Xiujun Cheng, Hui Wang, Xiao Wang, Jinqiao Duan, Xiaofan Li

We especially examine those most probable trajectories from low concentration state to high concentration state (i. e., the likely transcription regime) for certain parameters, in order to gain insights into the transcription processes and the tipping time for the transcription likely to occur.

Approximation by filter functions

no code implementations20 Jun 2018 Ivo Düntsch, Günther Gediga, Hui Wang

In this exploratory article, we draw attention to the common formal ground among various estimators such as the belief functions of evidence theory and their relatives, approximation quality of rough set theory, and contextual probability.

Minimum Margin Loss for Deep Face Recognition

no code implementations17 May 2018 Xin Wei, Hui Wang, Bryan Scotney, Huan Wan

Face recognition has achieved great progress owing to the fast development of the deep neural network in the past a few years.

Face Recognition

Approximate k-NN Graph Construction: a Generic Online Approach

no code implementations9 Apr 2018 Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo

On the one hand, the approximate k-nearest neighbor graph construction is treated as a search task.

graph construction Information Retrieval +1

Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network

no code implementations CIKM 2017 Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang

However, the prior work only attends to the sentiment information and ignores the aspect-related information in the text, which may cause mismatching between the sentiment words and the aspects when an unrelated sentiment word is semantically meaningful for the given aspect.

Classification Sentence +2

Concordance and the Smallest Covering Set of Preference Orderings

1 code implementation15 Sep 2016 Zhiwei Lin, Hui Wang, Cees H. Elzinga

Preference orderings are orderings of a set of items according to the preferences (of judges).

Decision Making Marketing

A machine learning method for the large-scale evaluation of urban visual environment

no code implementations11 Aug 2016 Lun Liu, Hui Wang, Chunyang Wu

Given the size of modern cities in the urbanising age, it is beyond the perceptual capacity of most people to develop a good knowledge about the beauty and ugliness of the city at every street corner.

BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction

Information-theoretic Interestingness Measures for Cross-Ontology Data Mining

no code implementations29 Apr 2015 Prashanti Manda, Fiona McCarthy, Bindu Nanduri, Hui Wang, Susan M. Bridges

Development of efficient data mining methods and metrics to mine and assess the quality of the mined relationships has not kept pace with the growth of annotation data.


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