b'Wei Zhou'

research

∙ 01/24/2023

Story Shaping: Teaching Agents Human-like Behavior with Stories

Reward design for reinforcement learning agents can be difficult in situ...

Xiangyu Peng, et al. ∙

research

∙ 01/18/2023

Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection

Many dense 3D point clouds have been exploited to represent visual objec...

Wei Zhou, et al. ∙

research

∙ 12/11/2022

AliCHI: A Large-scale Multi-modal Dataset and Automated Evaluation Tool for Human-like Dialogue Systems

A well-designed interactive human-like dialogue system is expected to ta...

Zhiling Luo, et al. ∙

research

∙ 12/07/2022

Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers

Recently, RNN-Transducers have achieved remarkable results on various au...

Zijian Yang, et al. ∙

research

∙ 11/22/2022

Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception

Image dehazing aims to restore spatial details from hazy images. There h...

Wei Zhou, et al. ∙

research

∙ 11/12/2022

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation

Vessel segmentation is essential in many medical image applications, suc...

Tianyi Shi, et al. ∙

research

∙ 11/07/2022

Torwards time-domain extended source waveform inversion

Full waveform inversion (FWI) updates the subsurface model from an initi...

Pengliang Yang, et al. ∙

research

∙ 10/26/2022

Monotonic segmental attention for automatic speech recognition

We introduce a novel segmental-attention model for automatic speech reco...

Albert Zeyer, et al. ∙

research

∙ 10/18/2022

HMM vs. CTC for Automatic Speech Recognition: Comparison Based on Full-Sum Training from Scratch

In this work, we compare from-scratch sequence-level cross-entropy (full...

Tina Raissi, et al. ∙

research

∙ 10/06/2022

Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning

Digital human recommendation system has been developed to help customers...

Xiong Junwu, et al. ∙

research

∙ 09/28/2022

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

Semi-supervised few-shot learning consists in training a classifier to a...

Xiu-Shen Wei, et al. ∙

research

∙ 09/07/2022

FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications

Real-time object detection on Unmanned Aerial Vehicles (UAVs) is a chall...

Wei Zhou, et al. ∙

research

∙ 08/31/2022

Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling

Objective quality assessment of 3D point clouds is essential for the dev...

Wei Zhou, et al. ∙

research

∙ 08/16/2022

What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation

Emulating firmware of microcontrollers is challenging due to the lack of...

Wei Zhou, et al. ∙

research

∙ 07/15/2022

Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity

There has been a growing interest in developing image super-resolution (...

Wei Zhou, et al. ∙

research

∙ 07/13/2022

RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Coronary CT Angiography (CCTA) is susceptible to various distortions (e....

Yiting Lu, et al. ∙

research

∙ 06/07/2022

Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation

The emotion recognition in conversation (ERC) task aims to predict the e...

Yinan Bao, et al. ∙

research

∙ 05/12/2022

Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation

Blind image quality assessment (BIQA), which aims to accurately predict ...

Qiuping Jiang, et al. ∙

research

∙ 05/04/2022

Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion-Cause Pair Extraction

The Emotion-Cause Pair Extraction (ECPE) task aims to extract emotions a...

Yinan Bao, et al. ∙

research

∙ 04/22/2022

Efficient Training of Neural Transducer for Speech Recognition

As one of the most popular sequence-to-sequence modeling approaches for ...

Wei Zhou, et al. ∙

research

∙ 04/07/2022

HIT-UAV: A High-altitude Infrared Thermal Dataset for Unmanned Aerial Vehicles

This paper presents a High-altitude infrared thermal dataset, HIT-UAV, f...

Jiashun Suo, et al. ∙

research

∙ 02/25/2022

A Brief Survey on Adaptive Video Streaming Quality Assessment

Quality of experience (QoE) assessment for adaptive video streaming play...

Wei Zhou, et al. ∙

research

∙ 02/18/2022

Rank-Sensitive Computation of the Rank Profile of a Polynomial Matrix

Consider a matrix 𝐅∈𝕂[x]^m × n of univariate polynomials over a field 𝕂....

George Labahn, et al. ∙

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. ∙

Wei Zhou

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