b'Wei Zhou'

research

∙ 12/21/2021

Maxwell: a hardware and software highly integrated compute-storage system

The compute-storage framework is responsible for data storage and proces...

ing Ma, et al. ∙

research

∙ 11/13/2021

Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features

One of the key communicative competencies is the ability to maintain flu...

Yu Qiao, et al. ∙

research

∙ 11/11/2021

Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic

Autonomous driving has attracted significant research interests in the p...

Wei Zhou, et al. ∙

research

∙ 11/01/2021

Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers

Directed acyclic graph (DAG) models are widely used to represent causal ...

Wei Zhou, et al. ∙

research

∙ 10/13/2021

On Language Model Integration for RNN Transducer based Speech Recognition

The mismatch between an external language model (LM) and the implicitly ...

Wei Zhou, et al. ∙

research

∙ 09/13/2021

AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce

Live streaming is becoming an increasingly popular trend of sales in E-c...

Guohai Xu, et al. ∙

research

∙ 08/18/2021

GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation

Existing data-driven methods can well handle short text generation. Howe...

Xuming Lin, et al. ∙

research

∙ 08/17/2021

SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts

Many generation tasks follow a one-to-many mapping relationship: each in...

Shaobo Cui, et al. ∙

research

∙ 08/01/2021

Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text

Chinese sentiment analysis (CSA) has always been one of the challenges i...

Binlong Zhang, et al. ∙

research

∙ 07/28/2021

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)

The repairing work of terracotta warriors in Emperor Qinshihuang Mausole...

Yao Hu, et al. ∙

research

∙ 07/28/2021

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds

The existing 3D deep learning methods adopt either individual point-base...

Wei Zhou, et al. ∙

research

∙ 07/26/2021

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

Detecting rumors on social media is a very critical task with significan...

Lingwei Wei, et al. ∙

research

∙ 07/16/2021

Automatic Firmware Emulation through Invalidity-guided Knowledge Inference (Extended Version)

Emulating firmware for microcontrollers is challenging due to the tight ...

Wei Zhou, et al. ∙

research

∙ 06/17/2021

PEN4Rec: Preference Evolution Networks for Session-based Recommendation

Session-based recommendation aims to predict user the next action based ...

Dou Hu, et al. ∙

research

∙ 05/15/2021

Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness

Single image super-resolution (SISR) algorithms reconstruct high-resolut...

Wei Zhou, et al. ∙

research

∙ 05/10/2021

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media

The rapid development of social media changes the lifestyle of people an...

Chunyuan Yuan, et al. ∙

research

∙ 04/30/2021

Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning

We present a new convolutional neural network, called Multi Voxel-Point ...

Wei Zhou, et al. ∙

research

∙ 04/19/2021

Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition

Subword units are commonly used for end-to-end automatic speech recognit...

Wei Zhou, et al. ∙

research

∙ 04/13/2021

Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept

With the advent of direct models in automatic speech recognition (ASR), ...

Wei Zhou, et al. ∙

research

∙ 04/01/2021

Bayesian Graph Convolutional Network for Traffic Prediction

Recently, adaptive graph convolutional network based traffic prediction ...

Jun Fu, et al. ∙

research

∙ 01/27/2021

FedH2L: Federated Learning with Model and Statistical Heterogeneity

Federated learning (FL) enables distributed participants to collectively...

Yiying Li, et al. ∙

research

∙ 12/08/2020

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning

The dissemination of fake news significantly affects personal reputation...

Chunyuan Yuan, et al. ∙

research

∙ 12/01/2020

Deep Multi-Scale Features Learning for Distorted Image Quality Assessment

Image quality assessment (IQA) aims to estimate human perception based i...

Wei Zhou, et al. ∙

research

∙ 12/01/2020

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods

In this paper, we present a seed-region-growing CNN(SRG-Net) for unsuper...

Yao Hu, et al. ∙

research

∙ 10/30/2020

Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition

To join the advantages of classical and end-to-end approaches for speech...

Wei Zhou, et al. ∙

research

∙ 10/15/2020

Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting

In traffic forecasting, graph convolutional networks (GCNs), which model...

Jun Fu, et al. ∙

research

∙ 09/26/2020

Affinity Space Adaptation for Semantic Segmentation Across Domains

Semantic segmentation with dense pixel-wise annotation has achieved exce...

Wei Zhou, et al. ∙

research

∙ 09/18/2020

Residual Spatial Attention Network for Retinal Vessel Segmentation

Reliable segmentation of retinal vessels can be employed as a way of mon...

Changlu Guo, et al. ∙

research

∙ 09/07/2020

Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment

In recent years, deep learning has achieved promising success for multim...

Wei Zhou, et al. ∙

research

∙ 08/19/2020

LIRA: Lifelong Image Restoration from Unknown Blended Distortions

Most existing image restoration networks are designed in a disposable wa...

Jianzhao Liu, et al. ∙

research

∙ 07/22/2020

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration

Hybrid-distorted image restoration (HD-IR) is dedicated to restore real ...

Xin Li, et al. ∙

research

∙ 07/16/2020

Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis

Document-level Sentiment Analysis (DSA) is more challenging due to vague...

Lingwei Wei, et al. ∙

research

∙ 06/23/2020

Rethinking Distributional Matching Based Domain Adaptation

Domain adaptation (DA) is a technique that transfers predictive models t...

Bo Li, et al. ∙

research

∙ 06/09/2020

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction

Information diffusion prediction is a fundamental task for understanding...

Chunyuan Yuan, et al. ∙

research

∙ 05/25/2020

AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization

Withthegrowthofknowledgegraphs, entity descriptions are becoming extreme...

Dongjun Wei, et al. ∙

research

∙ 05/19/2020

Investigations on Phoneme-Based End-To-End Speech Recognition

Common end-to-end models like CTC or encoder-decoder-attention models us...

Albert Zeyer, et al. ∙

research

∙ 04/13/2020

Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks

Numerous image superresolution (SR) algorithms have been proposed for re...

Wei Zhou, et al. ∙

research

∙ 04/07/2020

Channel Attention Residual U-Net for Retinal Vessel Segmentation

Retinal vessel segmentation is a vital step for the diagnosis of many ea...

Changlu Guo, et al. ∙

research

∙ 04/07/2020

Dense Residual Network for Retinal Vessel Segmentation

Retinal vessel segmentation plays an imaportant role in the field of ret...

Changlu Guo, et al. ∙

research

∙ 04/02/2020

Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model

In hybrid HMM based speech recognition, LSTM language models have been w...

Wei Zhou, et al. ∙

research

∙ 04/02/2020

The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment

We present a complete training pipeline to build a state-of-the-art hybr...

Wei Zhou, et al. ∙

research

∙ 03/11/2020

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Off-Policy Actor-Critic (Off-PAC) methods have proven successful in a va...

Wei Zhou, et al. ∙

research

∙ 02/21/2020

Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks

Quality assessment of omnidirectional images has become increasingly urg...

Wei Zhou, et al. ∙

research

∙ 12/31/2019

Logic Bugs in IoT Platforms and Systems: A Review

In recent years, IoT platforms and systems have been rapidly emerging. A...

Wei Zhou, et al. ∙

research

∙ 11/09/2019

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification

Automatically labeling multiple styles for every song is a comprehensive...

Qianwen Ma, et al. ∙

research

∙ 11/07/2019

Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce

Information-seeking conversation system aims at satisfying the informati...

Zhenxin Fu, et al. ∙

research

∙ 10/18/2019

DLB: Deep Learning Based Load Balancing

Load balancing mechanisms have been widely adopted by distributed platfo...

Xiaoke Zhu, et al. ∙

research

∙ 10/18/2019

Follow Alice into the Rabbit Hole: Giving Dialogue Agents Understanding of Human Level Attributes

For conversational AI and virtual assistants to communicate with humans ...

Aaron W. Li, et al. ∙

research

∙ 09/28/2019

Feature Fusion Detector for Semantic Cognition of Remote Sensing

The value of remote sensing images is of vital importance in many areas ...

Wei Zhou, et al. ∙

research

∙ 09/10/2019

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

The development of social media has revolutionized the way people commun...

Chunyuan Yuan, et al. ∙

Wei Zhou

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