Search Results for author: Yu Zhou

Found 131 papers, 49 papers with code

A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization

no code implementations EMNLP 2020 Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou, Chengqing Zong

Medical entity normalization, which links medical mentions in the text to entities in knowledge bases, is an important research topic in medical natural language processing.

Medical Procedure

Revolutionizing Wireless Networks with Self-Supervised Learning: A Pathway to Intelligent Communications

no code implementations11 Jun 2024 Zhixiang Yang, Hongyang Du, Dusit Niyato, Xudong Wang, Yu Zhou, Lei Feng, Fanqin Zhou, Wenjing Li, Xuesong Qiu

With the rapid proliferation of mobile devices and data, next-generation wireless communication systems face stringent requirements for ultra-low latency, ultra-high reliability, and massive connectivity.

Self-Supervised Learning

A DAFT Based Unified Waveform Design Framework for High-Mobility Communications

no code implementations4 Jun 2024 Xingyao Zhang, Haoran Yin, Yanqun Tang, Yu Zhou, Yuqing Liu, Jinming Du, Yipeng Ding

With the increasing demand for multi-carrier communication in high-mobility scenarios, it is urgent to design new multi-carrier communication waveforms that can resist large delay-Doppler spreads.

Self-Modifying State Modeling for Simultaneous Machine Translation

1 code implementation4 Jun 2024 Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong

Besides, building decision paths requires unidirectional encoders to simulate streaming source inputs, which impairs the translation quality of SiMT models.

Machine Translation Translation

Implicit Neural Image Field for Biological Microscopy Image Compression

1 code implementation29 May 2024 Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu, Rongyu Zhang, Shaokang Wang, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang

The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualization.

Image Compression Management

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models

no code implementations9 Apr 2024 Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan

To address these challenges, this paper proposes a comprehensive benchmark, namely CausalBench, to evaluate the causality understanding capabilities of LLMs.

Reading Comprehension

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

no code implementations9 Apr 2024 Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan

To the best of our knowledge, this work presents the first systematic evaluation of LLMs for numerical optimization, offering a progressive, wide-coverage, and behavioral analysis.

GI-Free Pilot-Aided Channel Estimation for Affine Frequency Division Multiplexing Systems

no code implementations1 Apr 2024 Yu Zhou, Haoran Yin, Nanhao Zhou, Yanqun Tang, Xiaoying Zhang, Weijie Yuan

The recently developed affine frequency division multiplexing (AFDM) can achieve full diversity in doubly selective channels, providing a comprehensive sparse representation of the delay-Doppler domain channel.

TextBlockV2: Towards Precise-Detection-Free Scene Text Spotting with Pre-trained Language Model

no code implementations15 Mar 2024 Jiahao Lyu, Jin Wei, Gangyan Zeng, Zeng Li, Enze Xie, Wei Wang, Yu Zhou

Taking advantage of the fine-tuned language model on scene recognition benchmarks and the paradigm of text block detection, extensive experiments demonstrate the superior performance of our scene text spotter across multiple public benchmarks.

Language Modelling Optical Character Recognition (OCR) +3

Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing

1 code implementation5 Feb 2024 Yan Shu, Weichao Zeng, Zhenhang Li, Fangmin Zhao, Yu Zhou

Our aim is to establish this survey as a fundamental resource, fostering continued exploration and innovation in the dynamic area of visual text processing.

Image Enhancement Image Manipulation +1

Exploiting Low-level Representations for Ultra-Fast Road Segmentation

1 code implementation4 Feb 2024 Huan Zhou, Feng Xue, Yucong Li, Shi Gong, Yiqun Li, Yu Zhou

The spatial detail branch is firstly designed to extract low-level feature representation for the road by the first stage of ResNet-18.

Road Segmentation

MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images

1 code implementation30 Jan 2024 Xurui Li, Ziming Huang, Feng Xue, Yu Zhou

We reveal that the abundant normal and abnormal cues implicit in unlabeled test images can be exploited for anomaly determination, which is ignored by prior methods.

Anomaly Classification

Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner

no code implementations CVPR 2024 Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Deli Zhao, Ran Yi, Wenping Wang, Yong-Jin Liu

A diffusion model which is formulated to produce an image using thousands of denoising steps usually suffers from a slow inference speed.

Denoising

Toward Real Text Manipulation Detection: New Dataset and New Solution

no code implementations12 Dec 2023 Dongliang Luo, Yuliang Liu, Rui Yang, Xianjin Liu, Jishen Zeng, Yu Zhou, Xiang Bai

With the surge in realistic text tampering, detecting fraudulent text in images has gained prominence for maintaining information security.

Contrastive Learning

Hard Label Black Box Node Injection Attack on Graph Neural Networks

1 code implementation22 Nov 2023 Yu Zhou, Zihao Dong, Guofeng Zhang, Jingchen Tang

In this work, we will propose a non-targeted Hard Label Black Box Node Injection Attack on Graph Neural Networks, which to the best of our knowledge, is the first of its kind.

Graph Classification Node Classification

Deep learning based Image Compression for Microscopy Images: An Empirical Study

1 code implementation2 Nov 2023 Yu Zhou, Jan Sollmann, Jianxu Chen

In the end, we hope the present study could shed light on the potential of deep learning based image compression and the impact of image compression on downstream deep learning based image analysis models.

Cloud Computing Image Compression

Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge

1 code implementation23 Oct 2023 Te-Lin Wu, Yu Zhou, Nanyun Peng

The ability to actively ground task instructions from an egocentric view is crucial for AI agents to accomplish tasks or assist humans virtually.

Phrase Grounding World Knowledge

Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner

no code implementations14 Oct 2023 Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Ran Yi, Deli Zhao, Wenping Wang, Yong-Jin Liu

By viewing the generation of diffusion models as a discretized integrating process, we argue that the quality drop is partly caused by applying an inaccurate integral direction to a timestep interval.

Denoising

Advancing Transformer's Capabilities in Commonsense Reasoning

1 code implementation10 Oct 2023 Yu Zhou, Yunqiu Han, Hanyu Zhou, Yulun Wu

In this work, we aim to bridge the gap by introducing current ML-based methods to improve general purpose pre-trained language models in the task of commonsense reasoning.

Transfer Learning

On input-to-state stability verification of identified models obtained by Koopman operator

no code implementations3 Sep 2023 Wenjie Mei, Yu Zhou, Ahmad Taha, Chengyan Zhao

This paper proposes a class of basis functions for realizing the input-to-state stability verification of identified models obtained from the true system (assumed to be input-to-state stable) using the Koopman operator.

Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning

no code implementations14 Aug 2023 Xugong Qin, Pengyuan Lyu, Chengquan Zhang, Yu Zhou, Kun Yao, Peng Zhang, Hailun Lin, Weiping Wang

Different from existing methods which integrate multiple-granularity features or multiple outputs, we resort to the perspective of representation learning in which auxiliary tasks are utilized to enable the encoder to jointly learn robust features with the main task of per-pixel classification during optimization.

Representation Learning Scene Text Detection +1

Digital Self-Interference Cancellation With Robust Multi-layered Total Least Mean Squares Adaptive Filters

no code implementations6 Aug 2023 Shiyu Song, Yanqun Tang, Xizhang Wei, Yu Zhou, Xianjie Lu, Zhengpeng Wang, Songhu Ge

In each layer, our proposed m-MTLS estimator first employs an M-estimate total least mean squares (MTLS) algorithm to eliminate residual SI from the received signal and give a new estimation of the RT channel.

How many preprints have actually been printed and why: a case study of computer science preprints on arXiv

no code implementations3 Aug 2023 Jialiang Lin, Yao Yu, Yu Zhou, Zhiyang Zhou, Xiaodong Shi

In the case of these manuscripts, the traditional fuzzy matching method is incapable of mapping the preprint to the final published version.

CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization

1 code implementation6 Jul 2023 Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong

Therefore, we propose a novel Coarse-to-Fine contribution network for multimodal Summarization (CFSum) to consider different contributions of images for summarization.

EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation

1 code implementation9 Jun 2023 Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen

Artificial intelligence (AI) has been widely used in bioimage image analysis nowadays, but the efficiency of AI models, like the energy consumption and latency is not ignorable due to the growing model size and complexity, as well as the fast-growing analysis needs in modern biomedical studies.

Non-Sequential Graph Script Induction via Multimedia Grounding

1 code implementation27 May 2023 Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji

To automate the induction of such graph scripts for given tasks, we propose to take advantage of loosely aligned videos of people performing the tasks.

Masked and Permuted Implicit Context Learning for Scene Text Recognition

no code implementations25 May 2023 Xiaomeng Yang, Zhi Qiao, Jin Wei, Dongbao Yang, Yu Zhou

We utilize the training procedure of PLM, and to integrate MLM, we incorporate word length information into the decoding process and replace the undetermined characters with mask tokens.

Decoder Language Modelling +2

Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection

no code implementations20 May 2023 Xiao-Min Zeng, Yan Song, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue, Li-Rong Dai, Ian McLoughlin

In this paper, we propose a joint generative and contrastive representation learning method (GeCo) for anomalous sound detection (ASD).

Contrastive Learning Representation Learning

E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation

1 code implementation9 May 2023 Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong

Furthermore, the ablation studies verify the generalization of our method, where the proposed modal adapter is effective to bridge various OCR and MT models.

Decoder Machine Translation +3

Multi-Teacher Knowledge Distillation For Text Image Machine Translation

no code implementations9 May 2023 Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong

Text image machine translation (TIMT) has been widely used in various real-world applications, which translates source language texts in images into another target language sentence.

Decoder Knowledge Distillation +3

A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing

1 code implementation23 Apr 2023 Yu Zhou, Yu Chen, Xiao Zhang, Pan Lai, Lei Huang, Jianmin Jiang

While the initial reconstruction sub-network has a hierarchical structure to progressively recover the image, reducing the number of parameters, the residual reconstruction sub-network facilitates recurrent residual feature extraction via recurrent learning to perform both feature fusion and deep reconstructions across different scales.

Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild

1 code implementation14 Mar 2023 Yu Zhou, Liyuan Guo, Lianghai Jin

Firstly, to reduce redundancy among features extracted from pre-trained ResNet-50, we use the orthogonal loss to decompose and compact these features into three sets of orthogonal sub-features.

Facial Expression Recognition Facial Expression Recognition (FER)

Overview and Performance Analysis of Various Waveforms in High Mobility Scenarios

no code implementations28 Feb 2023 Yu Zhou, Haoran Yin, Jiaojiao Xiong, Shiyu Song, Jiajun Zhu, Jinming Du, Haibo Chen, Yanqun Tang

In the high-mobility scenarios of next-generation wireless communication systems (beyond 5G/6G), the performance of orthogonal frequency division multiplexing (OFDM) deteriorates drastically due to the loss of orthogonality between the subcarriers caused by large Doppler frequency shifts.

Vocal Bursts Intensity Prediction

Cyclic Delay-Doppler Shift: A Simple Transmit Diversity Technique for Delay-Doppler Waveforms in Doubly Selective Channels

no code implementations22 Feb 2023 Haoran Yin, Jiaojiao Xiong, Yu Zhou, Chi Zhang, Di Zhang, Xizhang Wei, Yanqun Tang

Delay-Doppler waveform design has been considered as a promising solution to achieve reliable communication under high-mobility channels for the space-air-ground-integrated networks (SAGIN).

UATVR: Uncertainty-Adaptive Text-Video Retrieval

1 code implementation ICCV 2023 Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang

In the refined embedding space, we represent text-video pairs as probabilistic distributions where prototypes are sampled for matching evaluation.

Retrieval Semantic correspondence +1

Even Order Explicit Symplectic Geometric Algorithms for Quaternion Kinematical Differential Equation in Guidance Navigation and Control via Diagonal Padè Approximation and Cayley Transform

no code implementations13 Dec 2022 Hong-Yan Zhang, Fei Liu, Yu Zhou, Man Liang

Although explicit symplectic geometric algorithms (ESGA) for this problem are available, there is a lack of a unified way for constructing high order symplectic difference schemes with configurable order parameter.

Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction

no code implementations14 Nov 2022 Gecheng Chen, Yu Zhou, Xudong Zhang, Rui Tuo

The area of transfer learning comprises supervised machine learning methods that cope with the issue when the training and testing data have different input feature spaces or distributions.

Domain Adaptation motion prediction +1

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning

no code implementations2 Nov 2022 Yifei Zhang, Chang Liu, Yu Zhou, Weiping Wang, Qixiang Ye, Xiangyang Ji

In this paper, we present relation-aware contrastive self-supervised learning (ReCo) to integrate instance relations, i. e., global distribution relation and local interpolation relation, into the CSL framework in a plug-and-play fashion.

Relation Self-Supervised Learning

Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images

1 code implementation9 Oct 2022 Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng

Due to the high-cost annotations of abnormal images, most methods utilize only known normal images during training and identify samples deviating from the normal profile as anomalies in the testing phase.

Anomaly Detection Self-Supervised Learning

Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task

1 code implementation8 Oct 2022 Cong Ma, Yaping Zhang, Mei Tu, Xu Han, Linghui Wu, Yang Zhao, Yu Zhou

End-to-end text image translation (TIT), which aims at translating the source language embedded in images to the target language, has attracted intensive attention in recent research.

Multi-Task Learning Translation

Generalized Homogeneous Rigid-BodyAttitude Control

no code implementations4 Oct 2022 Yu Zhou, Andrey Polyakov, Gang Zheng

The attitude tracking problem for a full-actuated rigid body in 3D is studied using a impulsive system model based on Lie algebra so(3).

Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers

no code implementations28 Sep 2022 Jialiang Lin, Yingmin Wang, Yao Yu, Yu Zhou, Yidong Chen, Xiaodong Shi

Some organizations and researchers manually collect AI papers with available source code to contribute to the AI community.

Weakly Supervised Semantic Segmentation via Progressive Patch Learning

1 code implementation16 Sep 2022 Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma

"Progressive Patch Learning" further extends the feature destruction and patch learning to multi-level granularities in a progressive manner.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

Field Evaluation of Four Low-cost PM Sensors and Design, Development and Field Evaluation of A Wearable PM Exposure Monitoring System

no code implementations11 Jul 2022 Wei-Ying Yi, Yu Zhou, Ya-Fen Chan, Yee Leung, Kam-Sang Woo, Wen-Wei Che, Kai-Hon Lau, Jia-Min Chen, Kwong-Sak Leung

To mitigate the significant biases/errors in research studying the associations between PM and health, which are introduced by the coarse/inadequate assessments of PM exposure from conventional PM monitoring paradigm, a personalized monitoring system consisting of a low-cost wearable PM device is proposed.

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

1 code implementation8 Jun 2022 Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng

Subsequently, inter-discrepancy between the two modules, and intra-discrepancy inside the module that is trained on only normal images are designed as anomaly scores to indicate anomalies.

One-Class Classification

GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation

no code implementations16 Apr 2022 Shi Gong, Xiaoqing Ye, Xiao Tan, Jingdong Wang, Errui Ding, Yu Zhou, Xiang Bai

Birds-eye-view (BEV) semantic segmentation is critical for autonomous driving for its powerful spatial representation ability.

Autonomous Driving Image Segmentation +2

MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners

no code implementations14 Apr 2022 Tianxi Wang, Feng Xue, Yu Zhou, Anlong Ming

Moreover, we further apply the proposed MARF to the people detection and tracking system, achieving a considerable gain in all metrics.

Binary Classification

Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement

1 code implementation4 Mar 2022 Junwen Xiong, Yu Zhou, Peng Zhang, Lei Xie, Wei Huang, Yufei zha

Active speaker detection and speech enhancement have become two increasingly attractive topics in audio-visual scenario understanding.

Multi-Task Learning Speech Enhancement

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification

1 code implementation15 Dec 2021 Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang

Since the covariance matrix of each category represents the feature transformation directions, we can sample new directions from similar categories to generate definitely different instances.

Data Augmentation Long-tail Learning

Learning to Select the Next Reasonable Mention for Entity Linking

no code implementations8 Dec 2021 Jian Sun, Yu Zhou, Chengqing Zong

To address the problem, we propose a novel model, called DyMen, to dynamically adjust the subsequent linking target based on the previously linked entities via reinforcement learning, enabling the model to select a link target that can fully use previously linked information.

Entity Linking Knowledge Graphs +2

Ghost Imaging Based on Recurrent Neural Network

no code implementations1 Dec 2021 Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Yu Zhou, Zhuo Xu

The testing results show that the proposed method can achieve image reconstruction at a very low sampling rate (0. 38$\%$).

Image Reconstruction

Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression

1 code implementation17 Nov 2021 Feng Xue, Anlong Ming, Yu Zhou

Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera.

regression

Video Text Tracking With a Spatio-Temporal Complementary Model

1 code implementation9 Nov 2021 Yuzhe Gao, Xing Li, Jiajian Zhang, Yu Zhou, Dian Jin, Jing Wang, Shenggao Zhu, Xiang Bai

We leverage a Siamese ComplementaryModule to fully exploit the continuity characteristic of the textinstances in the temporal dimension, which effectively alleviatesthe missed detection of the text instances, and hence ensuresthe completeness of each text trajectory.

text similarity

TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation

1 code implementation25 Oct 2021 Wei Wang, Yu Zhou, Jiahao Lv, Dayan Wu, Guoqing Zhao, Ning Jiang, Weiping Wang

The research focus of scene text detection and recognition has shifted to arbitrary shape text in recent years, where the text shape representation is a fundamental problem.

Scene Text Detection Scene Text Recognition +2

Dense Semantic Contrast for Self-Supervised Visual Representation Learning

no code implementations16 Sep 2021 Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang

Concretely, these downstream tasks require more accurate representation, in other words, the pixels from the same object must belong to a shared semantic category, which is lacking in the previous methods.

Contrastive Learning Instance Segmentation +4

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition

1 code implementation9 Sep 2021 Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang

In this paper, we propose a Parallel, Iterative and Mimicking Network (PIMNet) to balance accuracy and efficiency.

Decoder Scene Text Recognition

Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection

no code implementations8 Sep 2021 Xugong Qin, Yu Zhou, Youhui Guo, Dayan Wu, Zhihong Tian, Ning Jiang, Hongbin Wang, Weiping Wang

We propose to use an MLP decoder instead of the "deconv-conv" decoder in the mask head, which alleviates the issue and promotes robustness significantly.

Decoder Instance Segmentation +5

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

2 code implementations EMNLP 2021 Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong

Therefore, in this paper, we introduce a novel Chinese dataset for Customer Service Dialogue Summarization (CSDS).

Video 3D Sampling for Self-supervised Representation Learning

no code implementations8 Jul 2021 Wei Li, Dezhao Luo, Bo Fang, Yu Zhou, Weiping Wang

As a result, we can leverage the spatial information (the size of objects), temporal information (the direction and magnitude of motions) as our learning target.

Action Recognition Representation Learning +2

Multi-View Correlation Distillation for Incremental Object Detection

no code implementations5 Jul 2021 Dongbao Yang, Yu Zhou, Weiping Wang

Due to the storage burden and the privacy of old data, sometimes it is impractical to train the model from scratch with both old and new data.

Object object-detection +1

MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification

no code implementations2 Jul 2021 Xiaoni Li, Yucan Zhou, Yu Zhou, Weiping Wang

Hierarchical classification is significant for complex tasks by providing multi-granular predictions and encouraging better mistakes.

Classification Image Classification

Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

no code implementations28 Jun 2021 Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao

This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task.

4k Benchmarking

Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble

1 code implementation18 Jun 2021 Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, YiXuan Wang, Yanlin Chen, Leye Wang, Man Huang

To address this issue, we propose a novel semi-supervised transfer learning framework based on optimal transport theory and self-paced ensemble for Sepsis early detection, called SPSSOT, which can efficiently transfer knowledge from the source hospital (with rich labeled data) to the target hospital (with scarce labeled data).

Domain Adaptation Semi-supervised Domain Adaptation +1

Exploring Instance Relations for Unsupervised Feature Embedding

1 code implementation7 May 2021 Yifei Zhang, Yu Zhou, Weiping Wang

Despite the great progress achieved in unsupervised feature embedding, existing contrastive learning methods typically pursue view-invariant representations through attracting positive sample pairs and repelling negative sample pairs in the embedding space, while neglecting to systematically explore instance relations.

Contrastive Learning Image Classification +2

TransCrowd: weakly-supervised crowd counting with transformers

1 code implementation19 Apr 2021 Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai

Current weakly-supervised counting methods adopt the CNN to regress a total count of the crowd by an image-to-count paradigm.

Crowd Counting

A Physics-based and Data-driven Linear Three-Phase Power Flow Model for Distribution Power Systems

no code implementations18 Mar 2021 Yitong Liu, Zhengshuo Li, Yu Zhou

Case studies have demonstrated that our model generally has 2 to over 10-fold smaller average errors than other linear power flow models, enjoys a satisfying accuracy against bad data, and facilitates a faster solution to DPS analysis and optimization problems.

Boundary-induced and scene-aggregated network for monocular depth prediction

1 code implementation26 Feb 2021 Feng Xue, Junfeng Cao, Yu Zhou, Fei Sheng, Yankai Wang, Anlong Ming

However, two issues remain unresolved: (1) The deep feature encodes the wrong farthest region in a scene, which leads to a distorted 3D structure of the predicted depth; (2) The low-level features are insufficient utilized, which makes it even harder to estimate the depth near the edge with sudden depth change.

Depth Estimation Depth Prediction +1

Focal Inverse Distance Transform Maps for Crowd Localization

3 code implementations16 Feb 2021 Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou

Most regression-based methods utilize convolution neural networks (CNN) to regress a density map, which can not accurately locate the instance in the extremely dense scene, attributed to two crucial reasons: 1) the density map consists of a series of blurry Gaussian blobs, 2) severe overlaps exist in the dense region of the density map.

Crowd Counting SSIM

Streaming from the Air: Enabling Drone-sourced Video Streaming Applications on 5G Open-RAN Architectures

no code implementations21 Jan 2021 Lorenzo Bertizzolo, Tuyen X. Tran, John Buczek, Bharath Balasubramanian, Rittwik Jana, Yu Zhou, Tommaso Melodia

This may result in uplink inter-cell interference and uplink performance degradation for the neighboring ground UEs when drones transmit at high data-rates (e. g., video streaming).

Networking and Internet Architecture Signal Processing

Quick Annotator: an open-source digital pathology based rapid image annotation tool

1 code implementation6 Jan 2021 Runtian Miao, Robert Toth, Yu Zhou, Anant Madabhushi, Andrew Janowczyk

Image based biomarker discovery typically requires an accurate segmentation of histologic structures (e. g., cell nuclei, tubules, epithelial regions) in digital pathology Whole Slide Images (WSI).

whole slide images

Graph Neural Networks: Taxonomy, Advances and Trends

no code implementations16 Dec 2020 Yu Zhou, Haixia Zheng, Xin Huang, Shufeng Hao, Dengao Li, Jumin Zhao

Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks.

Dual Attention Network for Cross-lingual Entity Alignment

no code implementations COLING 2020 Jian Sun, Yu Zhou, Chengqing Zong

The hierarchical attention adaptively aggregates the low-hierarchy and the high-hierarchy information, which is beneficial to balance the neighborhood information of counterpart entities and distinguish non-counterpart entities with similar structures.

Entity Alignment Graph Attention +2

Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity

no code implementations COLING 2020 Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou, Chengqing Zong

Previous studies combining knowledge graph (KG) with neural machine translation (NMT) have two problems: i) Knowledge under-utilization: they only focus on the entities that appear in both KG and training sentence pairs, making much knowledge in KG unable to be fully utilized.

Machine Translation Multi-Task Learning +3

Gaussian Constrained Attention Network for Scene Text Recognition

1 code implementation19 Oct 2020 Zhi Qiao, Xugong Qin, Yu Zhou, Fei Yang, Weiping Wang

In this paper, we propose Gaussian Constrained Attention Network to deal with this problem.

Scene Text Recognition

Two-Level Residual Distillation based Triple Network for Incremental Object Detection

no code implementations27 Jul 2020 Dongbao Yang, Yu Zhou, Dayan Wu, Can Ma, Fei Yang, Weiping Wang

Modern object detection methods based on convolutional neural network suffer from severe catastrophic forgetting in learning new classes without original data.

Incremental Learning Object +3

Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification

no code implementations13 Jul 2020 Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, QinGhua Hu, Weiping Wang

Some works in the optimization of deep neural networks have shown that a better arrangement of training data can make the classifier converge faster and perform better.

General Classification Meta-Learning

Progressive Cluster Purification for Unsupervised Feature Learning

1 code implementation6 Jul 2020 Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye

In this work, we propose a novel clustering based method, which, by iteratively excluding class inconsistent samples during progressive cluster formation, alleviates the impact of noise samples in a simple-yet-effective manner.

Clustering Specificity

Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization

no code implementations ACL 2020 Junnan Zhu, Yu Zhou, Jiajun Zhang, Cheng-qing Zong

Cross-lingual summarization aims at summarizing a document in one language (e. g., Chinese) into another language (e. g., English).

Decoder Translation

Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning

1 code implementation20 Jun 2020 Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye

The generative perception model acts as a feature decoder to focus on comprehending high temporal resolution and short-term representation by introducing a motion-attention mechanism.

Action Recognition Decoder +3

Self-Training for Domain Adaptive Scene Text Detection

no code implementations23 May 2020 Yudi Chen, Wei Wang, Yu Zhou, Fei Yang, Dongbao Yang, Weiping Wang

To address this problem, we propose a self-training framework to automatically mine hard examples with pseudo-labels from unannotated videos or images.

Image to Video Generation Scene Text Detection +1

Boosting API Recommendation with Implicit Feedback

no code implementations4 Feb 2020 Yu Zhou, Xinying Yang, Taolue Chen, Zhiqiu Huang, Xiaoxing Ma, Harald Gall

In this paper, we propose a framework, BRAID (Boosting RecommendAtion with Implicit FeeDback), which leverages learning-to-rank and active learning techniques to boost recommendation performance.

Active Learning Learning-To-Rank

Fish Detection Using Deep Learning

no code implementations Applied Computational Intelligence and Soft Computing 2020 Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains.

Data Augmentation Fish Detection

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

1 code implementation2 Jan 2020 Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang

As a proxy task, it converts rich self-supervised representations into video clip operations (options), which enhances the flexibility and reduces the complexity of representation learning.

Representation Learning Retrieval +4

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

2 code implementations11 Dec 2019 Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai

In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches.

Object object-detection +1

DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage

no code implementations15 Oct 2019 Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang

The source code suggestions provided by current IDEs are mostly dependent on static type learning.

Code Completion

Deep Transfer Learning for Source Code Modeling

1 code implementation12 Oct 2019 Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang

A challenging issue of these approaches is that they require training from starch for a different related problem.

Transfer Learning

NCLS: Neural Cross-Lingual Summarization

1 code implementation IJCNLP 2019 Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Cheng-qing Zong

Moreover, we propose to further improve NCLS by incorporating two related tasks, monolingual summarization and machine translation, into the training process of CLS under multi-task learning.

Machine Translation Multi-Task Learning +1

Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning

no code implementations27 Aug 2019 Xugong Qin, Yu Zhou, Dongbao Yang, Weiping Wang

The performance of the proposed method is comparable with the state-of-the-art methods with only 10% pixel-level annotated data and 90% rectangle-level weakly annotated data.

Curved Text Detection Text Detection +1

Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning

1 code implementation ICCV 2019 Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou

On one hand, considering the relevance between edge and orientation, two sub-networks are designed to share the occlusion cue.

Understanding Memory Modules on Learning Simple Algorithms

no code implementations1 Jul 2019 Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Cheng-qing Zong

Recent work has shown that memory modules are crucial for the generalization ability of neural networks on learning simple algorithms.

Dimensionality Reduction

Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference

no code implementations ACL 2019 He Bai, Yu Zhou, Jiajun Zhang, Cheng-qing Zong

Dialogue contexts are proven helpful in the spoken language understanding (SLU) system and they are typically encoded with explicit memory representations.

Retrieval slot-filling +2

A Novel Multi-layer Framework for Tiny Obstacle Discovery

2 code implementations23 Apr 2019 Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou

For tiny obstacle discovery in a monocular image, edge is a fundamental visual element.

Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection

no code implementations21 Mar 2019 Rui Lu, Menghan Zhou, Anlong Ming, Yu Zhou

Occlusion edge detection requires both accurate locations and context constraints of the contour.

Edge Detection

CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

1 code implementation3 Mar 2019 Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang

We evaluate CodeGRU with real-world data set and it shows that CodeGRU outperforms the state-of-the-art language models and help reduce the vocabulary size up to 24. 93\%.

Code Completion Code Generation +1

Neural Abstract Style Transfer for Chinese Traditional Painting

1 code implementation8 Dec 2018 Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu

In experiments, the proposed method shows more appealing stylized results in transferring the style of Chinese traditional painting than state-of-the-art neural style transfer methods.

Style Transfer

Decorated marked surfaces III: The derived category of a decorated marked surface

no code implementations31 Mar 2018 Aslak Bakke Buan, Yu Qiu, Yu Zhou

As an application, we show that the spherical twist group $\operatorname{ST}(\mathbf{S}_\bigtriangleup)$ associated to $\mathcal{D}_{fd}(\mathbf{S}_\bigtriangleup)$ acts faithfully on its space of stability conditions.

Representation Theory Rings and Algebras

Learning from Parenthetical Sentences for Term Translation in Machine Translation

no code implementations WS 2017 Guoping Huang, Jiajun Zhang, Yu Zhou, Cheng-qing Zong

Terms extensively exist in specific domains, and term translation plays a critical role in domain-specific machine translation (MT) tasks.

Machine Translation Sentence +1

Imaging around corners with single-pixel detector by computational ghost imaging

no code implementations8 Dec 2016 Bin Bai, Jianbin Liu, Yu Zhou, Songlin Zhang, Yuchen He, Zhuo Xu

We have designed a single-pixel camera with imaging around corners based on computational ghost imaging.

Object

Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization

no code implementations30 Aug 2016 Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang

In particular, the stable matching between subproblems and solutions, which achieves an equilibrium between their mutual preferences, implicitly strikes a balance between the convergence and diversity.

Decorated marked surfaces II: Intersection numbers and dimensions of Homs

no code implementations14 Nov 2014 Yu Qiu, Yu Zhou

We study the 3-Calabi-Yau categories $\mathcal{D}$ arising from quivers with potential associated to a decorated marked surface $\mathbf{S}_\bigtriangleup$ introduced by the first author.

Representation Theory Category Theory Geometric Topology

Cluster categories for marked surfaces: punctured case

no code implementations31 Oct 2013 Yu Qiu, Yu Zhou

We study the cluster categories arising from marked surfaces (with punctures and non-empty boundaries).

Representation Theory Geometric Topology 16G20, 18E30, 16E30, 57M50 (primary), 16G70 (secondary)

Unsupervised Tree Induction for Tree-based Translation

no code implementations TACL 2013 Feifei Zhai, Jiajun Zhang, Yu Zhou, Cheng-qing Zong

In current research, most tree-based translation models are built directly from parse trees.

Machine Translation Translation

Fusion with Diffusion for Robust Visual Tracking

no code implementations NeurIPS 2012 Yu Zhou, Xiang Bai, Wenyu Liu, Longin J. Latecki

A key feature of our approach is that the time complexity of the dif-fusion on the TPG is the same as the diffusion process on each of the original graphs, Moreover, it is not necessary to explicitly construct the TPG in our frame-work.

Clustering Visual Tracking

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