b'Hui Wang'

research

∙ 06/23/2022

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible ...

Shengming Li, et al. ∙

research

∙ 06/22/2022

Motion Gait: Gait Recognition via Motion Excitation

Gait recognition, which can realize long-distance and contactless identi...

Yunpeng Zhang, et al. ∙

research

∙ 06/14/2022

Exploring evolution-based -free protein language models as protein function predictors

Large-scale Protein Language Models (PLMs) have improved performance in ...

Mingyang Hu, et al. ∙

research

∙ 06/10/2022

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

Relevant recommendation is a special recommendation scenario which provi...

Zihan Lin, et al. ∙

research

∙ 05/19/2022

Cross-Enhancement Transformer for Action Segmentation

Temporal convolutions have been the paradigm of choice in action segment...

Jiahui Wang, et al. ∙

research

∙ 04/28/2022

Computational Approaches to Model X-ray Photon Correlation Spectroscopy from Molecular Dynamics

X-ray photon correlation spectroscopy (XPCS) allows for the resolution o...

Shaswat Mohanty, et al. ∙

research

∙ 04/07/2022

Unsupervised Quantized Prosody Representation for Controllable Speech Synthesis

In this paper, we propose a novel prosody disentangle method for prosodi...

Yutian Wang, et al. ∙

research

∙ 04/02/2022

Graph-based Approximate NN Search: A Revisit

Nearest neighbor search plays a fundamental role in many disciplines suc...

Hui Wang, et al. ∙

research

∙ 03/01/2022

DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement

Full-band speech enhancement based on deep neural networks is still chal...

Guochen Yu, et al. ∙

research

∙ 02/16/2022

DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement

The decoupling-style concept begins to ignite in the speech enhancement ...

Guochen Yu, et al. ∙

research

∙ 01/25/2022

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

Power estimation is the basis of many hardware optimization strategies. ...

Zhe Lin, et al. ∙

research

∙ 11/04/2021

Energy-Efficient Online Data Sensing and Processing in Wireless Powered Edge Computing Systems

This paper focuses on developing energy-efficient online data processing...

Xian Li, et al. ∙

research

∙ 10/13/2021

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

Curriculum learning begins to thrive in the speech enhancement area, whi...

Guochen Yu, et al. ∙

research

∙ 09/26/2021

Joint magnitude estimation and phase recovery using Cycle-in-Cycle GAN for non-parallel speech enhancement

For the lack of adequate paired noisy-clean speech corpus in many real s...

Guochen Yu, et al. ∙

research

∙ 09/05/2021

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

Cycle-consistent generative adversarial networks (CycleGAN) have shown t...

Guochen Yu, et al. ∙

research

∙ 07/28/2021

CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism

Non-parallel training is a difficult but essential task for DNN-based sp...

Guochen Yu, et al. ∙

research

∙ 06/28/2021

Progressive Class-based Expansion Learning For Image Classification

In this paper, we propose a novel image process scheme called class-base...

Hui Wang, et al. ∙

research

∙ 06/27/2021

Online Cognitive Data Sensing and Processing Optimization in Energy-harvesting Edge Computing Systems

Mobile edge computing (MEC) has recently become a prevailing technique t...

Xian Li, et al. ∙

research

∙ 06/12/2021

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

Due to the flexibility in modelling data heterogeneity, heterogeneous in...

Hui Wang, et al. ∙

research

∙ 06/05/2021

A Deep Variational Bayesian Framework for Blind Image Deblurring

Blind image deblurring is an important yet very challenging problem in l...

Hui Wang, et al. ∙

research

∙ 05/13/2021

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

AlphaZero has achieved impressive performance in deep reinforcement lear...

Hui Wang, et al. ∙

research

∙ 05/01/2021

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

The advent of distributed energy resources (DERs), such as distributed r...

Qing Yang, et al. ∙

research

∙ 04/14/2021

An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks

Mobile edge computing (MEC) is a promising paradigm to accommodate the i...

Xian Li, et al. ∙

research

∙ 03/29/2021

Large-Scale Approximate k-NN Graph Construction on GPU

k-nearest neighbor graph is a key data structure in many disciplines suc...

Hui Wang, et al. ∙

research

∙ 03/04/2021

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

Unsupervised domain adaptation (UDA) typically carries out knowledge tra...

Hui Wang, et al. ∙

research

∙ 02/05/2021

Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning

In this paper, we consider a multi-user mobile-edge computing (MEC) netw...

Suzhi Bi, et al. ∙

research

∙ 01/31/2021

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning

Federated Learning (FL) is an emerging paradigm through which decentrali...

Wenzhuo Yang, et al. ∙

research

∙ 12/29/2020

Joint Beamforming and Power Control for Throughput Maximization in IRS-assisted MISO WPCNs

Intelligent reflecting surface (IRS) is an emerging technology to enhanc...

Yuan Zheng, et al. ∙

research

∙ 11/03/2020

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

In recent years, there are a large number of recommendation algorithms p...

Wayne Xin Zhao, et al. ∙

research

∙ 10/03/2020

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

Opportunistic computation offloading is an effective method to improve t...

Suzhi Bi, et al. ∙

research

∙ 08/19/2020

Leveraging Historical Interaction Data for Improving Conversational Recommender System

Recently, conversational recommender system (CRS) has become an emerging...

Kun Zhou, et al. ∙

research

∙ 08/18/2020

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

Recently, significant progress has been made in sequential recommendatio...

Kun Zhou, et al. ∙

research

∙ 08/04/2020

Memory Efficient Class-Incremental Learning for Image Classification

With the memory-resource-limited constraints, class-incremental learning...

Hanbin Zhao, et al. ∙

research

∙ 07/24/2020

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

As an important and challenging problem, multi-domain learning (MDL) typ...

Hanbin Zhao, et al. ∙

research

∙ 07/19/2020

Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs

Intelligent reflecting surface (IRS) can effectively enhance the energy ...

Yuan Zheng, et al. ∙

research

∙ 06/14/2020

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning

Morpion Solitaire is a popular single player game, performed with paper ...

Hui Wang, et al. ∙

research

∙ 05/21/2020

Sequential Recommendation with Self-Attentive Multi-Adversarial Network

Recently, deep learning has made significant progress in the task of seq...

Ruiyang Ren, et al. ∙

research

∙ 04/26/2020

Warm-Start AlphaZero Self-Play Search Enhancements

Recently, AlphaZero has achieved landmark results in deep reinforcement ...

Hui Wang, et al. ∙

research

∙ 04/05/2020

Iterative Context-Aware Graph Inference for Visual Dialog

Visual dialog is a challenging task that requires the comprehension of t...

Dan Guo, et al. ∙

research

∙ 03/12/2020

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

The landmark achievements of AlphaGo Zero have created great research in...

Hui Wang, et al. ∙

research

∙ 02/24/2020

Computation Rate Maximization in Wireless Powered MEC with Spread Spectrum Multiple Access

The integration of mobile edge computing (MEC) and wireless power transf...

Yuegui Chen, et al. ∙

research

∙ 01/24/2020

Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack

Machine learning algorithms, when applied to sensitive data, pose a pote...

Bo Zhang, et al. ∙

research

∙ 01/08/2020

A Group Norm Regularized LRR Factorization Model for Spectral Clustering

Spectral clustering is a very important and classic graph clustering met...

Xishun Wang, et al. ∙

research

∙ 01/01/2020

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

Accurate identification and localization of the vertebrae in CT scans is...

Chunli Qin, et al. ∙

research

∙ 12/25/2019

Reusing Wireless Power Transfer for Backscatter-assisted Relaying in WPCNs

User cooperation is an effective technique to tackle the severe near-far...

Yuan Zheng, et al. ∙

research

∙ 09/09/2019

Composing Knowledge Graph Embeddings via Word Embeddings

Learning knowledge graph embedding from an existing knowledge graph is v...

Lianbo Ma, et al. ∙

research

∙ 07/02/2019

Neural Machine Reading Comprehension: Methods and Trends

Machine Reading Comprehension (MRC), which requires the machine to answe...

Shanshan Liu, et al. ∙

research

∙ 07/01/2019

A Semantics-Based Hybrid Approach on Binary Code Similarity Comparison

Binary code similarity comparison is a methodology for identifying simil...

Yikun Hu, et al. ∙

research

∙ 05/30/2019

Quantifying consensus of rankings based on q-support patterns

Rankings, representing preferences over a set of candidates, are widely ...

Zhengui Xue, et al. ∙

research

∙ 04/19/2019

Optimizing Throughput Fairness of Cluster-based Cooperation in Underlay Cognitive WPCNs

In this paper, we consider a secondary wireless powered communication ne...

Lina Yuan, et al. ∙

Hui Wang

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