Search Results for author: Tao Zhou

Found 75 papers, 22 papers with code

Edge-aware Feature Aggregation Network for Polyp Segmentation

no code implementations19 Sep 2023 Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan

Besides, a Scale-aware Convolution Module (SCM) is proposed to learn scale-aware features by using dilated convolutions with different ratios, in order to effectively deal with scale variation.

Enhancing Event Sequence Modeling with Contrastive Relational Inference

no code implementations6 Sep 2023 Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, james Y zhang, Siqiao Xue, Jun Zhou

Extensive experiments on three real-world datasets demonstrate the effectiveness of our model in capturing event interactions for event sequence modeling tasks.

Point Processes Variational Inference

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation

1 code implementation26 Aug 2023 Yizhe Zhang, Tao Zhou, Shuo Wang, Ye Wu, Pengfei Gu, Danny Z. Chen

Our new method is iterative and consists of two main stages: (1) segmentation model training; (2) expanding the labeled set by using the trained segmentation model, an unlabeled set, SAM, and domain-specific knowledge.

Image Segmentation Lesion Segmentation +2

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype

no code implementations21 Aug 2023 Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao

Essentially, we present a novel paradigm based on the vision-language model to learn SF-UniDA and hugely reduce the labeling costs on the source domain.

Few-Shot Learning Language Modelling +1

Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network: Movie and literature cases

no code implementations24 May 2023 Zheng Hu, Shi-Min Cai, Jun Wang, Tao Zhou

Thus, the representation of users' dislikes should be integrated into the user modelling when we construct a collaborative recommendation model.

Bounded KRnet and its applications to density estimation and approximation

no code implementations15 May 2023 Li Zeng, Xiaoliang Wan, Tao Zhou

In this paper, we develop an invertible mapping, called B-KRnet, on a bounded domain and apply it to density estimation/approximation for data or the solutions of PDEs such as the Fokker-Planck equation and the Keller-Segel equation.

Density Estimation

Can SAM Segment Polyps?

no code implementations15 Apr 2023 Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong

Recently, Meta AI Research releases a general Segment Anything Model (SAM), which has demonstrated promising performance in several segmentation tasks.

AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources

no code implementations9 Apr 2023 Anakha V Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Siniša Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara

We present an end-to-end automated workflow that uses large-scale remote compute resources and an embedded GPU platform at the edge to enable AI/ML-accelerated real-time analysis of data collected for x-ray ptychography.


Self-Paced Learning for Open-Set Domain Adaptation

no code implementations10 Mar 2023 Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao

Open-set domain adaptation aims to not only recognize target samples belonging to common classes shared by source and target domains but also perceive unknown class samples.

Domain Adaptation

IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning

no code implementations7 Feb 2023 Ling Guo, Hao Wu, Wenwen Zhou, Yan Wang, Tao Zhou

We propose a novel framework for uncertainty quantification via information bottleneck (IB-UQ) for scientific machine learning tasks, including deep neural network (DNN) regression and neural operator learning (DeepONet).

Data Augmentation Operator learning +1

Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation

no code implementations3 Feb 2023 Zhiwei Gao, Tao Tang, Liang Yan, Tao Zhou

The second extension is to present the subset simulation algorithm as the posterior model (instead of the truncated Gaussian model) for estimating the error indicator, which can more effectively estimate the failure probability and generate new effective training points in the failure region.

Prompting Neural Machine Translation with Translation Memories

no code implementations13 Jan 2023 Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu

Improving machine translation (MT) systems with translation memories (TMs) is of great interest to practitioners in the MT community.

Machine Translation NMT +1

Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis

2 code implementations2 Dec 2022 Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen

To take advantage of both paired and unpaired data, in this paper, we propose a Multi-scale Transformer Network (MT-Net) with edge-aware pre-training for cross-modality MR image synthesis.

Image Generation Image Imputation +3

Feature Aggregation and Propagation Network for Camouflaged Object Detection

1 code implementation2 Dec 2022 Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang

In this paper, we propose a novel Feature Aggregation and Propagation Network (FAP-Net) for camouflaged object detection.

object-detection Object Detection

A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms

no code implementations1 Dec 2022 Zhengwang Xia, Tao Zhou, Saqib Mamoon, Amani Alfakih, Jianfeng Lu

Brain network provides important insights for the diagnosis of many brain disorders, and how to effectively model the brain structure has become one of the core issues in the domain of brain imaging analysis.

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates

no code implementations1 Nov 2022 Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao

Our evaluation with three scientific surrogates and 32 GPUs illustrates that SOLAR can achieve up to 24. 4X speedup over PyTorch Data Loader and 3. 52X speedup over state-of-the-art data loaders.


Adaptive deep density approximation for fractional Fokker-Planck equations

no code implementations26 Oct 2022 Li Zeng, Xiaoliang Wan, Tao Zhou

To this end, we represent the solution with an explicit PDF model induced by a flow-based deep generative model, simplified KRnet, which constructs a transport map from a simple distribution to the target distribution.

Failure-informed adaptive sampling for PINNs

no code implementations1 Oct 2022 Zhiwei Gao, Liang Yan, Tao Zhou

For instance, a fixed set of (prior chosen) training points may fail to capture the effective solution region (especially for problems with singularities).

Prompt-driven efficient Open-set Semi-supervised Learning

no code implementations28 Sep 2022 Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang

In this paper, we propose a prompt-driven efficient OSSL framework, called OpenPrompt, which can propagate class information from labeled to unlabeled data with only a small number of trainable parameters.

Outlier Detection

Myopia prediction for adolescents via time-aware deep learning

no code implementations26 Sep 2022 Junjia Huang, Wei Ma, Rong Li, Na Zhao, Tao Zhou

Result: The mean absolute prediction error on the testing set was 0. 273-0. 257 for spherical equivalent, ranging from 0. 189-0. 160 to 0. 596-0. 473 if we consider different lengths of historical records and different prediction durations.

Time Series Time Series Analysis

Deep learning at the edge enables real-time streaming ptychographic imaging

no code implementations20 Sep 2022 Anakha V Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, YuDong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara

Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from integrated circuits to biological cells.

Camouflaged Object Detection via Context-aware Cross-level Fusion

2 code implementations27 Jul 2022 Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou

To address these challenges, we propose a novel Context-aware Cross-level Fusion Network (C2F-Net), which fuses context-aware cross-level features for accurately identifying camouflaged objects.

object-detection Object Detection

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation

no code implementations21 Mar 2022 Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong

Further, by defining a new form of data centroid, we transform the recovery problem of a label-dependent part to a centroid estimation problem.

Binary Classification

On Vision Features in Multimodal Machine Translation

1 code implementation ACL 2022 Bei Li, Chuanhao Lv, Zefan Zhou, Tao Zhou, Tong Xiao, Anxiang Ma, Jingbo Zhu

Previous work on multimodal machine translation (MMT) has focused on the way of incorporating vision features into translation but little attention is on the quality of vision models.

Image Captioning Multimodal Machine Translation +3

Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

no code implementations16 Mar 2022 Ling Guo, Hao Wu, Xiaochen Yu, Tao Zhou

We introduce a sampling based machine learning approach, Monte Carlo physics informed neural networks (MC-PINNs), for solving forward and inverse fractional partial differential equations (FPDEs).

Consistency and Diversity induced Human Motion Segmentation

no code implementations10 Feb 2022 Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen

Besides, a novel constraint based on the Hilbert Schmidt Independence Criterion (HSIC) is introduced to ensure the diversity of multi-level subspace representations, which enables the complementarity of multi-level representations to be explored to boost the transfer learning performance.

Motion Segmentation Transfer Learning

Solving time dependent Fokker-Planck equations via temporal normalizing flow

no code implementations28 Dec 2021 Xiaodong Feng, Li Zeng, Tao Zhou

In this work, we propose an adaptive learning approach based on temporal normalizing flows for solving time-dependent Fokker-Planck (TFP) equations.

Information Cocoons in Online Navigation

no code implementations14 Sep 2021 Lei Hou, Xue Pan, Kecheng Liu, Zimo Yang, Jianguo Liu, Tao Zhou

Social media and online navigation bring us enjoyable experience in accessing information, and simultaneously create information cocoons (ICs) in which we are unconsciously trapped with limited and biased information.

Recommendation Systems Retrieval

Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models

no code implementations30 Aug 2021 Ling Guo, Hao Wu, Tao Zhou

We introduce in this work the normalizing field flows (NFF) for learning random fields from scattered measurements.

Gaussian Processes

Specificity-preserving RGB-D Saliency Detection

3 code implementations ICCV 2021 Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu

To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level information.

object-detection Object Detection +4

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

2 code implementations26 May 2021 Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu

Camouflaged object detection (COD) is a challenging task due to the low boundary contrast between the object and its surroundings.

object-detection Object Detection

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation

1 code implementation17 May 2021 Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang

Specifically, a bidirectional image synthesis and segmentation module is proposed to segment the brain tumor using the intermediate data distributions generated for the two domains, which includes an image-to-image translator and a shared-weighted segmentation network.

Brain Tumor Segmentation Image Generation +2

Collaborative Filtering Approach to Link Prediction

no code implementations14 Mar 2021 Yan-Li Lee, Tao Zhou

Considering the delicate but important difference between personalized recommendation and link prediction, we further propose an improved framework named as self-included collaborative filtering (SCF).

Collaborative Filtering Link Prediction +1

Progresses and Challenges in Link Prediction

no code implementations23 Feb 2021 Tao Zhou

Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology.

Ensemble Learning Link Prediction +2

Visual-Textual Attentive Semantic Consistency for Medical Report Generation

no code implementations ICCV 2021 Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao

Second, the progressive report decoder consists of a sentence decoder and a word decoder, where we propose image-sentence matching and description accuracy losses to constrain the visual-textual semantic consistency.

Medical Report Generation Word Embeddings

Improving EEG Decoding via Clustering-based Multi-task Feature Learning

no code implementations12 Dec 2020 Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki

With the encoded label matrix, we devise a novel multi-task learning algorithm by exploiting the subclass relationship to jointly optimize the EEG pattern features from the uncovered subclasses.

Clustering EEG +2

High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming

no code implementations7 Dec 2020 Tao Zhou, Mathew Cherukara, Charudatta Phatak

Lorentz transmission electron microscopy is a unique characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materials at high spatial resolution.


Light Field Salient Object Detection: A Review and Benchmark

1 code implementation10 Oct 2020 Keren Fu, Yao Jiang, Ge-Peng Ji, Tao Zhou, Qijun Zhao, Deng-Ping Fan

Secondly, we benchmark nine representative light field SOD models together with several cutting-edge RGB-D SOD models on four widely used light field datasets, from which insightful discussions and analyses, including a comparison between light field SOD and RGB-D SOD models, are achieved.

Benchmarking object-detection +3

Dynamic Fusion based Federated Learning for COVID-19 Detection

no code implementations22 Sep 2020 Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Sin Kit Lo, Fei-Yue Wang

To improve communication efficiency and model performance, in this paper, we propose a novel dynamic fusion-based federated learning approach for medical diagnostic image analysis to detect COVID-19 infections.

BIG-bench Machine Learning Decision Making +3

RGB-D Salient Object Detection: A Survey

9 code implementations1 Aug 2020 Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao

Further, considering that the light field can also provide depth maps, we review SOD models and popular benchmark datasets from this domain as well.

object-detection RGB-D Salient Object Detection +2

Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection

no code implementations10 Jul 2020 Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Bi-Yuan Liu

Our MCI-Net includes two key components: 1) a cross-modal feature learning network, which is used to learn the high-level features for the RGB images and depth cues, effectively enabling the correlations between the two sources to be exploited; and 2) a multi-level interactive integration network, which integrates multi-level cross-modal features to boost the SOD performance.

object-detection RGB-D Salient Object Detection +2

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

4 code implementations13 Jun 2020 Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

To address these challenges, we propose a parallel reverse attention network (PraNet) for accurate polyp segmentation in colonoscopy images.

Ranked #6 on Camouflaged Object Segmentation on CAMO (using extra training data)

Camouflaged Object Segmentation Camouflage Segmentation +1

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients

no code implementations1 Jun 2020 Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao

Then, we use a modality-specific network to extract implicit and high-level features from different MR scans.

ParaDiag: parallel-in-time algorithms based on the diagonalization technique

1 code implementation19 May 2020 Martin J. Gander, Jun Liu, Shu-Lin Wu, Xiaoqiang Yue, Tao Zhou

These results are obtained on the Tianhe-1 supercomputer in China and the SIUE Campus Cluster in the US and and we compare these results to the performance of parareal and MGRiT, two widely used PinT algorithms.

Numerical Analysis Numerical Analysis

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

3 code implementations22 Apr 2020 Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis.

Camouflage Segmentation Computed Tomography (CT)

Real-time sparse-sampled Ptychographic imaging through deep neural networks

1 code implementation15 Apr 2020 Mathew J. Cherukara, Tao Zhou, Youssef Nashed, Pablo Enfedaque, Alex Hexemer, Ross J. Harder, Martin V. Holt

Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving chemical or magnetic information from a sample.

Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images

no code implementations6 Apr 2020 Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Chang-Yin Wang, Bi-Yuan Liu

Furthermore, by using the proposed joint saliency measure, a variety of saliency maps are generated based on the discriminant dictionary.

Dictionary Learning object-detection +2

Exploration of Surgeons' Natural Skills for Robotic Catheterization

no code implementations6 Mar 2020 Olatunji Mumini Omisore, Wenjing Du, Tao Zhou, Shipeng Han, Kamen Ivanov, Yousef Al-Handarish, Lei Wang

Despite having the robotic catheter systems which have recently emerged as safe way of performing cardiovascular interventions, a number of important challenges are yet to be investigated.

Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis

2 code implementations11 Feb 2020 Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao

Medical image synthesis has been proposed as an effective solution to this, where any missing modalities are synthesized from the existing ones.

Image Generation

Hierarchical Clustering Supported by Reciprocal Nearest Neighbors

no code implementations9 Jul 2019 Wen-Bo Xie, Yan-Li Lee, Cong Wang, Duan-Bing Chen, Tao Zhou

Clustering is a fundamental analysis tool aiming at classifying data points into groups based on their similarity or distance.

Astronomy Clustering +1

Computational Socioeconomics

no code implementations15 May 2019 Jian Gao, Yi-Cheng Zhang, Tao Zhou

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development.

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

no code implementations15 Apr 2019 Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, DaCheng Tao

In this paper, we propose a novel matching based tracker by investigating the relationship between template matching and the recent popular correlation filter based trackers (CFTs).

Template Matching Visual Tracking

Customer Sharing in Economic Networks with Costs

no code implementations18 Jul 2018 Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

To tackle this problem, we develop a novel mechanism called customer sharing mechanism (CSM) which incentivizes all sellers to share each other's sale information to their private customer groups.

Payoff Control in the Iterated Prisoner's Dilemma

no code implementations17 Jul 2018 Dong Hao, Kai Li, Tao Zhou

Repeated game has long been the touchstone model for agents' long-run relationships.

A generalized method toward drug-target interaction prediction via low-rank matrix projection

1 code implementation6 Jun 2017 Ratha Pech, Dong Hao, Yan-Li Lee, Maryna Po, Tao Zhou

On one hand, when there is no extra characteristic information of drugs or targets, the proposed method utilizes only the known interactions.

BIG-bench Machine Learning Drug Discovery +1

Attention-based Natural Language Person Retrieval

no code implementations24 May 2017 Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos

Following the recent progress in image classification and captioning using deep learning, we develop a novel natural language person retrieval system based on an attention mechanism.

Image Classification Person Retrieval +2

Mechanism Design in Social Networks

no code implementations13 Feb 2017 Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

The challenge to the seller is to design a mechanism to incentivize the buyers, who are aware of the auction, to further propagate the information to their neighbors so that more buyers will participate in the auction and hence, the seller will be able to make a higher revenue.

Computer Science and Game Theory

Link Prediction via Matrix Completion

no code implementations22 Jun 2016 Ratha Pech, Dong Hao, Liming Pan, Hong Cheng, Tao Zhou

Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in the recent years.

Link Prediction Matrix Completion

Patch-based Texture Synthesis for Image Inpainting

no code implementations5 May 2016 Tao Zhou, Brian Johnson, Rui Li

We form it as an optimization problem that identifies the potential patches for synthesis from an coarse-to-fine manner.

Image Inpainting Image Retrieval +2

Visual Tracking via Nonnegative Regularization Multiple Locality Coding

no code implementations5 Oct 2015 Fanghui Liu, Tao Zhou, Irene Y. H. Gu, Jie Yang

Weights of these various dictionaries are also learned from approximated LLC in the similar framework.

Object Tracking Visual Tracking

Robust Visual Tracking via Inverse Nonnegative Matrix Factorization

no code implementations20 Sep 2015 Fanghui Liu, Tao Zhou, Keren Fu, Irene Y. H. Gu, Jie Yang

It utilizes both the foreground and background information, and imposes a local coordinate constraint, where the basis matrix is sparse matrix from the linear combination of candidates with corresponding nonnegative coefficient vectors.

Visual Tracking

Recommender Systems

1 code implementation6 Feb 2012 Linyuan Lü, Matus Medo, Chi Ho Yeung, Yi-Cheng Zhang, Zi-Ke Zhang, Tao Zhou

In this article, we review recent developments in recommender systems and discuss the major challenges.

Recommendation Systems

Predicting Missing Links via Local Information

3 code implementations5 Jan 2009 Tao Zhou, Linyuan Lu, Yi-Cheng Zhang

Missing link prediction of networks is of both theoretical interest and practical significance in modern science.

Data Analysis, Statistics and Probability Physics and Society

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