Search Results for author: Wei Zhou

Found 142 papers, 44 papers with code

Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection

no code implementations COLING 2022 Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu

In this paper, we propose a novel dual graph-based model, Uncertainty-aware Propagation Structure Reconstruction (UPSR) for improving fake news detection.

Fake News Detection

Intra-class Feature Variation Distillation for Semantic Segmentation

1 code implementation ECCV 2020 Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu

In this paper, different from previous methods performing knowledge distillation for densely pairwise relations, we propose a novel intra-class feature variation distillation (IFVD) to transfer the intra-class feature variation (IFV) of the cumbersome model (teacher) to the compact model (student).

Knowledge Distillation Segmentation +1

STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario

no code implementations30 Mar 2024 Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong

Many attack techniques have been proposed to explore the vulnerability of DNNs and further help to improve their robustness.

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings

no code implementations8 Mar 2024 Wei Zhou, Heike Adel, Hendrik Schuff, Ngoc Thang Vu

Attribution scores indicate the importance of different input parts and can, thus, explain model behaviour.

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation

no code implementations21 Feb 2024 Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li

However, constrained by high time and space costs, as well as the brief and anonymous nature of session data, the first LLM recommendation framework suitable for industrial deployment has yet to emerge in the field of SBR.

Session-Based Recommendations

Towards Loose-Fitting Garment Animation via Generative Model of Deformation Decomposition

no code implementations22 Dec 2023 Yifu Liu, Xiaoxia Li, Zhiling Luo, Wei Zhou

Existing data-driven methods for garment animation, usually driven by linear skinning, although effective on tight garments, do not handle loose-fitting garments with complex deformations well.

Structured Probabilistic Coding

1 code implementation21 Dec 2023 Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu

It can enhance the generalization ability of pre-trained language models for better language understanding.

Natural Language Understanding Representation Learning

SSTA: Salient Spatially Transformed Attack

no code implementations12 Dec 2023 Renyang Liu, Wei Zhou, Sixin Wu, Jun Zhao, Kwok-Yan Lam

Extensive studies have demonstrated that deep neural networks (DNNs) are vulnerable to adversarial attacks, which brings a huge security risk to the further application of DNNs, especially for the AI models developed in the real world.

DTA: Distribution Transform-based Attack for Query-Limited Scenario

no code implementations12 Dec 2023 Renyang Liu, Wei Zhou, Xin Jin, Song Gao, Yuanyu Wang, Ruxin Wang

In generating adversarial examples, the conventional black-box attack methods rely on sufficient feedback from the to-be-attacked models by repeatedly querying until the attack is successful, which usually results in thousands of trials during an attack.

Hard-label Attack

Are Large Language Models Good Fact Checkers: A Preliminary Study

no code implementations29 Nov 2023 Han Cao, Lingwei Wei, Mengyang Chen, Wei Zhou, Songlin Hu

However, they encounter challenges in effectively handling Chinese fact verification and the entirety of the fact-checking pipeline due to language inconsistencies and hallucinations.

Fact Checking Fact Verification

Double-Flow-based Steganography without Embedding for Image-to-Image Hiding

no code implementations25 Nov 2023 Bingbing Song, Derui Wang, Tianwei Zhang, Renyang Liu, Yu Lin, Wei Zhou

Hence, it provides a way to directly generate stego images from secret images without a cover image.

Steganalysis

CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability

1 code implementation22 Oct 2023 Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu

Neural network models are vulnerable to adversarial examples, and adversarial transferability further increases the risk of adversarial attacks.

Adversarial Attack

MeaeQ: Mount Model Extraction Attacks with Efficient Queries

1 code implementation21 Oct 2023 Chengwei Dai, Minxuan Lv, Kun Li, Wei Zhou

We study model extraction attacks in natural language processing (NLP) where attackers aim to steal victim models by repeatedly querying the open Application Programming Interfaces (APIs).

Active Learning Model extraction

SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack

no code implementations15 Oct 2023 Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, Wei Zhou

However, the distribution of these fake data lacks diversity and cannot detect the decision boundary of the target model well, resulting in the dissatisfactory simulation effect.

Model extraction

AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings

no code implementations15 Oct 2023 Renyang Liu, Jinhong Zhang, Haoran Li, Jin Zhang, Yuanyu Wang, Wei Zhou

Extensive studies have demonstrated that deep neural networks (DNNs) are vulnerable to adversarial attacks.

Can LSH (Locality-Sensitive Hashing) Be Replaced by Neural Network?

no code implementations15 Oct 2023 Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He

With the rapid development of GPU (Graphics Processing Unit) technologies and neural networks, we can explore more appropriate data structures and algorithms.

Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks

no code implementations15 Oct 2023 Renyang Liu, Wei Zhou, Jinhong Zhang, Xiaoyuan Liu, Peiyuan Si, Haoran Li

Inspired by this, we propose a novel model inversion attack method on HomoGNNs and HeteGNNs, namely HomoGMI and HeteGMI.

Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers

no code implementations11 Oct 2023 Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney

In this work, we investigate the effect of language models (LMs) with different context lengths and label units (phoneme vs. word) used in sequence discriminative training for phoneme-based neural transducers.

Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models

no code implementations11 Oct 2023 Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam

Existing black-box attacks have demonstrated promising potential in creating adversarial examples (AE) to deceive deep learning models.

Denoising

On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers

no code implementations25 Sep 2023 Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney

Empirically, we show that ILM subtraction and sequence discriminative training achieve similar performance across a wide range of experiments on Librispeech, including both MMI and minimum Bayes risk (MBR) criteria, as well as neural transducers and LMs of both full and limited context.

Language Modelling Relation +2

HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus

1 code implementation6 Sep 2023 Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu

ChatGPT has gained significant interest due to its impressive performance, but people are increasingly concerned about its potential risks, particularly around the detection of AI-generated content (AIGC), which is often difficult for untrained humans to identify.

Question Answering

E$^3$-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles

no code implementations9 Aug 2023 Jiashun Suo, Xingzhou Zhang, Weisong Shi, Wei Zhou

We first present an effective evaluation metric for actual tasks and construct a transparent energy consumption model based on hundreds of actual flight data to formalize the relationship between energy consumption and flight parameters.

Fire Detection Object +2

Dialogue Shaping: Empowering Agents through NPC Interaction

no code implementations28 Jul 2023 Wei Zhou, Xiangyu Peng, Mark Riedl

One major challenge in reinforcement learning (RL) is the large amount of steps for the RL agent needs to converge in the training process and learn the optimal policy, especially in text-based game environments where the action space is extensive.

Knowledge Graphs reinforcement-learning +1

CASEIN: Cascading Explicit and Implicit Control for Fine-grained Emotion Intensity Regulation

no code implementations27 Jun 2023 Yuhao Cui, Xiongwei Wang, Zhongzhou Zhao, Wei Zhou, Haiqing Chen

However, these high-level semantic probabilities are often inaccurate and unsmooth at the phoneme level, leading to bias in learning.

Disentanglement

Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems

1 code implementation7 Jun 2023 Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu

Dialogue response selection aims to select an appropriate response from several candidates based on a given user and system utterance history.

Conversational Response Selection Language Modelling +2

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations

1 code implementation2 Jun 2023 Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, Songlin Hu

To address this, we propose a supervised adversarial contrastive learning (SACL) framework for learning class-spread structured representations in a supervised manner.

Contrastive Learning Emotion Recognition in Conversation

RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition

no code implementations28 May 2023 Wei Zhou, Eugen Beck, Simon Berger, Ralf Schlüter, Hermann Ney

Modern public ASR tools usually provide rich support for training various sequence-to-sequence (S2S) models, but rather simple support for decoding open-vocabulary scenarios only.

Sequence-To-Sequence Speech Recognition speech-recognition

GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation

no code implementations24 May 2023 Wei Zhou, Qian Wang, Weiwei Jin, Xinzhe Shi, Ying He

Local Transformer uses a dynamic graph to calculate all neighboring point weights by intra-domain cross-attention with dynamically updated graph relations, so that every neighboring point could affect the features of centroid with different weights; Global Transformer enlarges the receptive field of Local Transformer by a global self-attention.

3D Point Cloud Classification Point Cloud Classification +1

VTPNet for 3D deep learning on point cloud

no code implementations10 May 2023 Wei Zhou, Weiwei Jin, Qian Wang, Yifan Wang, Dekui Wang, Xingxing Hao, Yongxiang Yu

Recently, Transformer-based methods for point cloud learning have achieved good results on various point cloud learning benchmarks.

Semantic Segmentation

Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain

no code implementations5 May 2023 Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie

This task is non-trivial, due to three challenges: the logic of the generated text, unstructured style reference, and biased training samples.

Attribute Data-to-Text Generation

JCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization

no code implementations30 Mar 2023 Yifu Liu, Xiaoxia Li, Zhiling Luo, Wei Zhou

These different actions are defined as conjoint actions, whose rest parts are definite phases, e. g., leaping over the bar in a HighJump.

Multiple Instance Learning Weakly-supervised Learning +2

BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding

1 code implementation25 Feb 2023 Yulong Liu, Yongqiang Ma, Wei Zhou, Guibo Zhu, Nanning Zheng

Our experiments show that this combination can boost the decoding model's performance on certain tasks like fMRI-text matching and fMRI-to-image generation.

Brain Decoding Image Generation +3

Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics

no code implementations24 Feb 2023 Wei Zhou, Zhou Wang

Omnidirectional image quality assessment (OIQA) aims to predict the perceptual quality of omnidirectional images that cover the whole 180$\times$360$^{\circ}$ viewing range of the visual environment.

Image Quality Assessment

Efficient 3D Object Reconstruction using Visual Transformers

no code implementations16 Feb 2023 Rohan Agarwal, Wei Zhou, Xiaofeng Wu, Yuhan Li

Reconstructing a 3D object from a 2D image is a well-researched vision problem, with many kinds of deep learning techniques having been tried.

3D Object Reconstruction Object

Story Shaping: Teaching Agents Human-like Behavior with Stories

no code implementations24 Jan 2023 Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark Riedl

We introduce a technique, Story Shaping, in which a reinforcement learning agent infers tacit knowledge from an exemplar story of how to accomplish a task and intrinsically rewards itself for performing actions that make its current environment adhere to that of the inferred story world.

reinforcement-learning Reinforcement Learning (RL) +1

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

1 code implementation18 Jan 2023 Wei Zhou, Guanghui Yue, Ruizeng Zhang, Yipeng Qin, Hantao Liu

Many dense 3D point clouds have been exploited to represent visual objects instead of traditional images or videos.

COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation

1 code implementation ICCV 2023 Yanzhao Zheng, Yunzhou Shi, Yuhao Cui, Zhongzhou Zhao, Zhiling Luo, Wei Zhou

To address this issue, we propose a novel framework called COOP (DeCOupling and COupling of Whole-Body GrasPing Pose Generation) to synthesize life-like whole-body poses that cover the widest range of human grasping capabilities.

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

no code implementations7 Dec 2022 Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney

Compared to the N-best-list based minimum Bayes risk objectives, lattice-free methods gain 40% - 70% relative training time speedup with a small degradation in performance.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation

1 code implementation12 Nov 2022 Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang

Vessel segmentation is crucial in many medical image applications, such as detecting coronary stenoses, retinal vessel diseases and brain aneurysms.

Enhancing and Adversarial: Improve ASR with Speaker Labels

no code implementations11 Nov 2022 Wei Zhou, Haotian Wu, Jingjing Xu, Mohammad Zeineldeen, Christoph Lüscher, Ralf Schlüter, Hermann Ney

Detailed analysis and experimental verification are conducted to show the optimal positions in the ASR neural network (NN) to apply speaker enhancing and adversarial training.

Multi-Task Learning

Monotonic segmental attention for automatic speech recognition

1 code implementation26 Oct 2022 Albert Zeyer, Robin Schmitt, Wei Zhou, Ralf Schlüter, Hermann Ney

We restrict the decoder attention to segments to avoid quadratic runtime of global attention, better generalize to long sequences, and eventually enable streaming.

Automatic Speech Recognition Automatic Speech Recognition (ASR)

Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning

no code implementations6 Oct 2022 Xiong Junwu, Xiaoyun Feng, Yunzhou Shi, James Zhang, Zhongzhou Zhao, Wei Zhou

Our proposed framework learns through real-time interactions between the digital human and customers dynamically through the state-of-art RL algorithms, combined with multimodal embedding and graph embedding, to improve the accuracy of personalization and thus enable the digital human agent to timely catch the attention of the customer.

Decision Making Graph Embedding +2

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

3 code implementations28 Sep 2022 Xiu-Shen Wei, He-Yang Xu, Faen Zhang, Yuxin Peng, Wei Zhou

Semi-supervised few-shot learning consists in training a classifier to adapt to new tasks with limited labeled data and a fixed quantity of unlabeled data.

Few-Shot Learning

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

no code implementations7 Sep 2022 Wei Zhou, Xuanlin Min, Rui Hu, Yiwen Long, Huan Luo, JunYi

Real-time object detection on Unmanned Aerial Vehicles (UAVs) is a challenging issue due to the limited computing resources of edge GPU devices as Internet of Things (IoT) nodes.

object-detection Real-Time Object Detection

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

no code implementations31 Aug 2022 Wei Zhou, Qi Yang, Qiuping Jiang, Guangtao Zhai, Weisi Lin

Objective quality assessment of 3D point clouds is essential for the development of immersive multimedia systems in real-world applications.

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

1 code implementation15 Jul 2022 Wei Zhou, Zhou Wang

There has been a growing interest in developing image super-resolution (SR) algorithms that convert low-resolution (LR) to higher resolution images, but automatically evaluating the visual quality of super-resolved images remains a challenging problem.

Generative Adversarial Network Image Quality Assessment +1

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

no code implementations13 Jul 2022 Yiting Lu, Jun Fu, Xin Li, Wei Zhou, Sen Liu, Xinxin Zhang, Congfu Jia, Ying Liu, Zhibo Chen

Therefore, we propose a Progressive Reinforcement learning based Instance Discarding module (termed as PRID) to progressively remove quality-irrelevant/negative instances for CCTA VIQA.

Image Quality Assessment Multiple Instance Learning

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

no code implementations7 Jun 2022 Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu

Since the dependencies between speakers are complex and dynamic, which consist of intra- and inter-speaker dependencies, the modeling of speaker-specific information is a vital role in ERC.

Emotion Recognition in Conversation

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

no code implementations12 May 2022 Qiuping Jiang, Jiawu Xu, Yudong Mao, Wei Zhou, Xiongkuo Min, Guangtao Zhai

The DDB-Net contains three modules, i. e., an image decomposition module, a feature encoding module, and a bilinear pooling module.

Blind Image Quality Assessment

Efficient Training of Neural Transducer for Speech Recognition

no code implementations22 Apr 2022 Wei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney

In this work, we propose an efficient 3-stage progressive training pipeline to build highly-performing neural transducer models from scratch with very limited computation resources in a reasonable short time period.

speech-recognition Speech Recognition

HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

1 code implementation7 Apr 2022 Jiashun Suo, Tianyi Wang, Xingzhou Zhang, Haiyang Chen, Wei Zhou, Weisong Shi

We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs).

Object object-detection +1

Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech

no code implementations31 Mar 2022 Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao

However, the works apply pre-training with character-based units to enhance the TTS phoneme encoder, which is inconsistent with the TTS fine-tuning that takes phonemes as input.

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

no code implementations11 Nov 2021 Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wanchen Ge

In this paper, we formulate the lane-changing decision making of multiple AVs in a mixed-traffic highway environment as a multi-agent reinforcement learning (MARL) problem, where each AV makes lane-changing decisions based on the motions of both neighboring AVs and HDVs.

Autonomous Driving Decision Making +3

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

no code implementations1 Nov 2021 Wei Zhou, Xin He, Wei Zhong, Junhui Wang

Directed acyclic graph (DAG) models are widely used to represent causal relationships among random variables in many application domains.

Raw Bayer Pattern Image Synthesis for Computer Vision-oriented Image Signal Processing Pipeline Design

no code implementations25 Oct 2021 Wei Zhou, Xiangyu Zhang, Hongyu Wang, Shenghua Gao, Xin Lou

It is shown that by adding another transformation, the proposed method is able to synthesize high-quality RAW Bayer images with arbitrary size.

Demosaicking Image Generation +3

On Language Model Integration for RNN Transducer based Speech Recognition

no code implementations13 Oct 2021 Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney

In this work, we study various ILM correction-based LM integration methods formulated in a common RNN-T framework.

Language Modelling speech-recognition +1

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

no code implementations18 Aug 2021 Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen

With these two synergic representations, we then regroup these phrases into a fine-grained plan, based on which we generate the final long text.

Story Generation

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

no code implementations17 Aug 2021 Shaobo Cui, Xintong Bao, Xuming Lin, Zhongzhou Zhao, Ji Zhang, Wei Zhou, Haiqing Chen

Each one-to-one mapping is associated with a conditional generation pattern and is modeled with an expert in SPMoE.

Paraphrase Generation

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

no code implementations1 Aug 2021 Binlong Zhang, Wei Zhou

Chinese sentiment analysis (CSA) has always been one of the challenges in natural language processing due to its complexity and uncertainty.

Chinese Sentiment Analysis Position +3

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

no code implementations28 Jul 2021 Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He

Extensive experiments on benchmark datasets such as ShapeNet Part, S3DIS and KITTI for various tasks show that MPVConv improves the accuracy of the backbone (PointNet) by up to \textbf{36\%}, and achieves higher accuracy than the voxel-based model with up to \textbf{34}$\times$ speedups.

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

no code implementations28 Jul 2021 Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao

Then we present a supervised segmentation and unsupervised reconstruction networks to learn the characteristics of 3D point clouds.

Segmentation

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

1 code implementation ACL 2021 Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu

Detecting rumors on social media is a very critical task with significant implications to the economy, public health, etc.

A Fixed Version of Quadratic Program in Gradient Episodic Memory

no code implementations7 Jul 2021 Wei Zhou, Yiying Li

Gradient Episodic Memory is indeed a novel method for continual learning, which solves new problems quickly without forgetting previously acquired knowledge.

Continual Learning

PEN4Rec: Preference Evolution Networks for Session-based Recommendation

1 code implementation17 Jun 2021 Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu

The process can strengthen the effect of relevant sequential behaviors during the preference evolution and weaken the disturbance from preference drifting.

Retrieval Session-Based Recommendations

Challenging distributional models with a conceptual network of philosophical terms

1 code implementation NAACL 2021 Yvette Oortwijn, Jelke Bloem, Pia Sommerauer, Francois Meyer, Wei Zhou, Antske Fokkens

We investigate the possibilities and limitations of using distributional semantic models for analyzing philosophical data by means of a realistic use-case.

Philosophy

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

1 code implementation15 May 2021 Wei Zhou, Zhou Wang, Zhibo Chen

In this paper, we assess the quality of SISR generated images in a two-dimensional (2D) space of structural fidelity versus statistical naturalness.

Generative Adversarial Network Image Quality Assessment +1

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

no code implementations10 May 2021 Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu

The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates social panic and triggers a crisis of social trust.

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

no code implementations30 Apr 2021 Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He

Extensive experiments on benchmark datasets such as ShapeNet Part, S3DIS and KITTI for various tasks show that MVPConv improves the accuracy of the backbone (PointNet) by up to 36%, and achieves higher accuracy than the voxel-based model with up to 34 times speedup.

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

no code implementations19 Apr 2021 Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney

Subword units are commonly used for end-to-end automatic speech recognition (ASR), while a fully acoustic-oriented subword modeling approach is somewhat missing.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech

no code implementations17 Apr 2021 Yu Qiao, Wei Zhou, Elma Kerz, Ralf Schlüter

In recent years, automated approaches to assessing linguistic complexity in second language (L2) writing have made significant progress in gauging learner performance, predicting human ratings of the quality of learner productions, and benchmarking L2 development.

Benchmarking

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

no code implementations13 Apr 2021 Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney

With the advent of direct models in automatic speech recognition (ASR), the formerly prevalent frame-wise acoustic modeling based on hidden Markov models (HMM) diversified into a number of modeling architectures like encoder-decoder attention models, transducer models and segmental models (direct HMM).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Bayesian Graph Convolutional Network for Traffic Prediction

no code implementations1 Apr 2021 Jun Fu, Wei Zhou, Zhibo Chen

Under this framework, the graph structure is viewed as a random realization from a parametric generative model, and its posterior is inferred using the observed topology of the road network and traffic data.

Traffic Prediction

No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness

no code implementations22 Feb 2021 Wei Zhou, Jiahua Xu, Qiuping Jiang, Zhibo Chen

To our knowledge, the proposed model is the first no-reference quality assessment method for 360-degreee images that combines multi-frequency information and image naturalness.

ERP Image Quality Assessment

FedH2L: Federated Learning with Model and Statistical Heterogeneity

no code implementations27 Jan 2021 Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales

Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy.

Federated Learning

Improving robustness of softmax corss-entropy loss via inference information

no code implementations1 Jan 2021 Bingbing Song, wei he, Renyang Liu, Shui Yu, Ruxin Wang, Mingming Gong, Tongliang Liu, Wei Zhou

Several state-of-the-arts start from improving the inter-class separability of training samples by modifying loss functions, where we argue that the adversarial samples are ignored and thus limited robustness to adversarial attacks is resulted.

Deep Multi-Scale Features Learning for Distorted Image Quality Assessment

no code implementations1 Dec 2020 Wei Zhou, Zhibo Chen

In this paper, motivated by the human visual system (HVS) combining multi-scale features for perception, we propose to use pyramid features learning to build a DNN with hierarchical multi-scale features for distorted image quality prediction.

Image Quality Assessment

Unsupervised Segmentation for Terracotta Warrior Point Cloud (SRG-Net)

1 code implementation1 Dec 2020 Yao Hu, Guohua Geng, Kang Li, Wei Zhou

Then we present a supervised segmentation and unsupervised reconstruction networks to learn the characteristics of 3D point clouds.

Clustering Segmentation

Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition

no code implementations30 Oct 2020 Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney

To join the advantages of classical and end-to-end approaches for speech recognition, we present a simple, novel and competitive approach for phoneme-based neural transducer modeling.

Language Modelling speech-recognition +1

Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting

no code implementations15 Oct 2020 Jun Fu, Wei Zhou, Zhibo Chen

The graph structure in our network is learned from the physical topology of the road network and traffic data in an end-to-end manner, which discovers a more accurate description of the relationship among traffic flows.

Traffic Prediction

Affinity Space Adaptation for Semantic Segmentation Across Domains

1 code implementation26 Sep 2020 Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu

Specifically, we perform domain adaptation on the affinity relationship between adjacent pixels termed affinity space of source and target domain.

Segmentation Semantic Segmentation +1

Residual Spatial Attention Network for Retinal Vessel Segmentation

1 code implementation18 Sep 2020 Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian

In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation.

Retinal Vessel Segmentation Segmentation

Empirical Fourier Decomposition: An Accurate Adaptive Signal Decomposition Method

no code implementations17 Sep 2020 Wei Zhou, Zhongren Feng, Y. F. Xu, Xiongjiang Wang, Hao Lv

An accurate adaptive signal decomposition method, called the empirical Fourier decomposition (EFD), is proposed to solve the problems in this work.

Computational Efficiency

LIRA: Lifelong Image Restoration from Unknown Blended Distortions

no code implementations ECCV 2020 Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen

Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task.

Image Restoration SSIM

Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery

no code implementations10 Aug 2020 Junlin Li, Wei Zhou, Cheng Cheng

For example, sparse Bayesian learning (SBL) was proposed to learn major features from a dictionary of basis functions, which makes identified models interpretable.

feature selection Sparse Learning

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

1 code implementation16 Jul 2020 Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu

Furthermore, we design a Sentiment-based Rethinking mechanism (SR) by refining the HIN with sentiment label information to learn a more sentiment-aware document representation.

Sentiment Analysis Sentiment Classification +1

Rethinking Distributional Matching Based Domain Adaptation

no code implementations23 Jun 2020 Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

In this paper, in order to devise robust DA algorithms, we first systematically analyze the limitations of DM based methods, and then build new benchmarks with more realistic domain shifts to evaluate the well-accepted DM methods.

Domain Adaptation

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

no code implementations9 Jun 2020 Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu

For one thing, previous works cannot jointly utilize both the social network and diffusion graph for prediction, which is insufficient to model the complexity of the diffusion process and results in unsatisfactory prediction performance.

Misinformation

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

1 code implementation25 May 2020 Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu

In this paper, a novel integration method called AutoSUM is proposed for automatic feature extraction and multi-user preference simulation to overcome the drawbacks of previous methods.

feature selection Word Embeddings

A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models

1 code implementation19 May 2020 Mohammad Zeineldeen, Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney

Following the rationale of end-to-end modeling, CTC, RNN-T or encoder-decoder-attention models for automatic speech recognition (ASR) use graphemes or grapheme-based subword units based on e. g. byte-pair encoding (BPE).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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

no code implementations13 Apr 2020 Wei Zhou, Qiuping Jiang, Yuwang Wang, Zhibo Chen, Weiping Li

Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions.

Image Quality Assessment

Channel Attention Residual U-Net for Retinal Vessel Segmentation

2 code implementations7 Apr 2020 Changlu Guo, Márton Szemenyei, Yangtao Hu, Wenle Wang, Wei Zhou, Yugen Yi

Retinal vessel segmentation is a vital step for the diagnosis of many early eye-related diseases.

Retinal Vessel Segmentation

Gradient-based Feature Extraction From Raw Bayer Pattern Images

no code implementations6 Apr 2020 Wei Zhou, Ling Zhang, Shengyu Gao, Xin Lou

In this paper, the impact of demosaicing on gradient extraction is studied and a gradient-based feature extraction pipeline based on raw Bayer pattern images is proposed.

Demosaicking Pedestrian Detection

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

no code implementations2 Apr 2020 Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney

We present a complete training pipeline to build a state-of-the-art hybrid HMM-based ASR system on the 2nd release of the TED-LIUM corpus.

Data Augmentation

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

1 code implementation9 Nov 2019 Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu

Based on the two types of relations, we use a graph convolutional network to learn the deep correlations between styles automatically.

General Classification

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

1 code implementation7 Nov 2019 Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan

Information-seeking conversation system aims at satisfying the information needs of users through conversations.

Text Matching

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots

1 code implementation IJCNLP 2019 Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu

Existing works mainly focus on matching candidate responses with every context utterance on multiple levels of granularity, which ignore the side effect of using excessive context information.

Conversational Response Selection Retrieval

ALOHA: Artificial Learning of Human Attributes for Dialogue Agents

1 code implementation18 Oct 2019 Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey

We propose Human Level Attributes (HLAs) based on tropes as the basis of a method for learning dialogue agents that can imitate the personalities of fictional characters.

Community Detection Language Modelling +1

Feature Fusion Detector for Semantic Cognition of Remote Sensing

no code implementations28 Sep 2019 Wei Zhou, Yiying Li

Based on experiments on the remote sensing dataset from Google Earth, our LFFN has proved effective and practical for the semantic cognition of remote sensing, achieving 89% mAP which is 4. 1% higher than that of FPN.

Learning review representations from user and product level information for spam detection

no code implementations10 Sep 2019 Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu

Then, we use orthogonal decomposition and fusion attention to learn a user, review, and product representation from the review information.

Spam detection

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

1 code implementation10 Sep 2019 Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu

The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and spreading rumors.

Tensor Oriented No-Reference Light Field Image Quality Assessment

no code implementations5 Sep 2019 Wei Zhou, Likun Shi, Zhibo Chen, Jinglin Zhang

Light field image (LFI) quality assessment is becoming more and more important, which helps to better guide the acquisition, processing and application of immersive media.

Image Quality Assessment

Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement

1 code implementation4 Sep 2019 Jiahua Xu, Wei Zhou, Zhibo Chen, Suiyi Ling, Patrick Le Callet

Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D contents.

Multimedia Image and Video Processing

No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement

no code implementations17 Aug 2019 Likun Shi, Wei Zhou, Zhibo Chen, Jinglin Zhang

In this paper, we propose a No-Reference Light Field image Quality Assessment (NR-LFQA) scheme, where the main idea is to quantify the LFI quality degradation through evaluating the spatial quality and angular consistency.

Image Quality Assessment

An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language Learners

no code implementations WS 2019 Wei Zhou, Renfen Hu, Feipeng Sun, Ronghuai Huang

In this paper, we propose a novel testing strategy by combining automatic item generation (AIG) and computerized adaptive testing (CAT) in vocabulary assessment for Chinese L2 learners.

LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring

no code implementations1 Jul 2019 Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney

LSTM based language models are an important part of modern LVCSR systems as they significantly improve performance over traditional backoff language models.

Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory

no code implementations12 Jun 2019 Zhibo Chen, Jiahua Xu, Chaoyi Lin, Wei Zhou

In this paper, based on the predictive coding theory of the human vision system (HVS), we propose a stereoscopic omnidirectional image quality evaluator (SOIQE) to cope with the characteristics of 3D 360-degree images.

Image Quality Assessment

Spectral Perturbation Meets Incomplete Multi-view Data

no code implementations31 May 2019 Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou

In this work, we show a strong link between perturbation risk bounds and incomplete multi-view clustering.

Clustering Incomplete multi-view clustering +1

ESA: Entity Summarization with Attention

2 code implementations25 May 2019 Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Jizhong Han, Songlin Hu

Entity summarization aims at creating brief but informative descriptions of entities from knowledge graphs.

Clustering Knowledge Graphs

Review-Driven Answer Generation for Product-Related Questions in E-Commerce

1 code implementation27 Apr 2019 Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen

Then, we devise a mechanism to identify the relevant information from the noise-prone review snippets and incorporate this information to guide the answer generation.

Answer Generation

Feature-Critic Networks for Heterogeneous Domain Generalization

2 code implementations31 Jan 2019 Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales

The well known domain shift issue causes model performance to degrade when deployed to a new target domain with different statistics to training.

Domain Generalization

Hierarchical Reinforcement Learning for Multi-agent MOBA Game

no code implementations23 Jan 2019 Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou

Real Time Strategy (RTS) games require macro strategies as well as micro strategies to obtain satisfactory performance since it has large state space, action space, and hidden information.

Hierarchical Reinforcement Learning Imitation Learning +3

TextField: Learning A Deep Direction Field for Irregular Scene Text Detection

1 code implementation4 Dec 2018 Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai

Experimental results show that the proposed TextField outperforms the state-of-the-art methods by a large margin (28% and 8%) on two curved text datasets: Total-Text and CTW1500, respectively, and also achieves very competitive performance on multi-oriented datasets: ICDAR 2015 and MSRA-TD500.

Scene Text Detection Text Detection

Unsupervised Single Image Deraining with Self-supervised Constraints

no code implementations21 Nov 2018 Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou

Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and practicality in real-world multimedia applications.

Benchmarking Generative Adversarial Network +1

Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving

no code implementations24 Oct 2018 Wei Zhou, Julie Stephany Berrio, Stewart Worrall, Eduardo Nebot

This paper presents a novel method for analysing the robustness of semantic segmentation models and provides a number of metrics to evaluate the classification performance over a variety of environmental conditions.

Autonomous Driving General Classification +2

Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective

no code implementations13 Sep 2018 Wei Zhou, Alex Zyner, Stewart Worrall, Eduardo Nebot

Semantic segmentation using deep neural networks has been widely explored to generate high-level contextual information for autonomous vehicles.

Autonomous Vehicles Data Augmentation +2

A Deep Relevance Model for Zero-Shot Document Filtering

1 code implementation ACL 2018 Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen

In the era of big data, focused analysis for diverse topics with a short response time becomes an urgent demand.

Sentiment Analysis Text Classification +1

Histograms of Gaussian normal distribution for feature matching in clutter scenes

no code implementations19 Jun 2017 Wei Zhou, Caiwen Ma, Arjan Kuijper

Especially in cluttered scenes there are many feature mismatches between scenes and models.

CFAR Line Detector for Polarimetric SAR Images Using Wilks’ Test Statistic

no code implementations1 May 2016 Ruijin Jin, Wei Zhou, Junjun Yin, and Jian Yang

In this letter, a constant false-alarm rate line detector for polarimetric synthetic aperture radar (Pol-SAR) images is presented based on Wilks’ test statistic, which can be used to test the equality of two covariance matrices following the complex Wishart distribution.

Cannot find the paper you are looking for? You can Submit a new open access paper.