Search Results for author: Zhi Liu

Found 47 papers, 16 papers with code

Salient Object Detection in Optical Remote Sensing Images Driven by Transformer

1 code implementation15 Sep 2023 Gongyang Li, Zhen Bai, Zhi Liu, Xinpeng Zhang, Haibin Ling

KTM models the contextual correlation knowledge of two middle-level features of different scales based on the self-attention mechanism, and transfers the knowledge to the raw features to generate more discriminative features.

object-detection Object Detection +2

Deep Neural Networks in Video Human Action Recognition: A Review

no code implementations25 May 2023 Zihan Wang, Yang Yang, Zhi Liu, Yifan Zheng

Our current related research addresses multiple novel proposed research works and compares their advantages and disadvantages between the derived deep learning frameworks rather than machine learning frameworks.

Action Recognition Optical Flow Estimation +1

Multimodal Sentiment Analysis: A Survey

no code implementations12 May 2023 Songning Lai, Xifeng Hu, Haoxuan Xu, Zhaoxia Ren, Zhi Liu

Multimodal sentiment analysis has become an important research area in the field of artificial intelligence.

Multimodal Sentiment Analysis

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention

1 code implementation7 Mar 2023 Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang

To address this issue, we propose a slice grouped domain attention (SGDA) module to enhance the generalization capability of the pulmonary nodule detection networks.

Computed Tomography (CT)

Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment

1 code implementation7 Jan 2023 Gongyang Li, Zhi Liu, Xinpeng Zhang, Weisi Lin

Then, semantic kernels are used to activate salient object locations in two groups of high-level features through dynamic convolution operations in DSMM.

object-detection Object Detection +1

Towards Reliable Item Sampling for Recommendation Evaluation

no code implementations28 Nov 2022 Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu

Since Rendle and Krichene argued that commonly used sampling-based evaluation metrics are "inconsistent" with respect to the global metrics (even in expectation), there have been a few studies on the sampling-based recommender system evaluation.

Recommendation Systems

Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network

no code implementations4 Nov 2022 Hanyi Hu, Long Zhang, Shuan Li, Zhi Liu, Yao Yang, Chongning Na

In financial fraud detection, the modus operandi of criminals can be identified by analyzing user profile and their behaviors such as transaction, loaning etc.

Fraud Detection Graph Attention

RGB-T Semantic Segmentation with Location, Activation, and Sharpening

1 code implementation26 Oct 2022 Gongyang Li, Yike Wang, Zhi Liu, Xinpeng Zhang, Dan Zeng

The highlight of LASNet is that we fully consider the characteristics of cross-modal features at different levels, and accordingly propose three specific modules for better segmentation.

Scene Understanding Segmentation +2

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation

no code implementations18 Oct 2022 Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang

In this paper, we propose task-specific meta distillation that simultaneously learns two models in meta-learning: a large teacher model and a small student model.

Few-Shot Image Classification Few-Shot Learning

Estimating spot volatility under infinite variation jumps with dependent market microstructure noise

no code implementations31 May 2022 Qiang Liu, Zhi Liu

Jumps and market microstructure noise are stylized features of high-frequency financial data.

Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing

1 code implementation19 Apr 2022 Zhi Liu, Uma Bhandaram, Nikhil Garg

A major concern is that residents do not report problems at the same rates, with heterogeneous reporting delays directly translating to downstream disparities in how quickly incidents can be addressed.

Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images

1 code implementation25 Mar 2022 Gongyang Li, Zhi Liu, Dan Zeng, Weisi Lin, Haibin Ling

As the key component of ACCoNet, ACCoM activates the salient regions of output features of the encoder and transmits them to the decoder.

object-detection Object Detection +1

Robust Event Triggering Control for Lateral Dynamics of Intelligent Vehicles with Designable Inter-event Times

no code implementations14 Mar 2022 Xing Chu, Zhi Liu, Lei Mao, Xin Jin, Zhaoxia Peng, Guoguang Wen

In this brief, an improved event-triggered update mechanism (ETM) for the linear quadratic regulator is proposed to solve the lateral motion control problem of intelligent vehicle under bounded disturbances.

Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback

1 code implementation29 Jan 2022 Jie Li, Ling Han, Cong Zhang, Qiyue Li, Zhi Liu

Most of the current prediction methods combining saliency detection and FoV information neither take into account that the distortion of projected 360-degree videos can invalidate the weight sharing of traditional convolutional networks, nor do they adequately consider the difficulty of obtaining complete multi-user FoV information, which degrades the prediction performance.

Saliency Detection Time Series +1

Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation

1 code implementation20 Jan 2022 Gongyang Li, Zhi Liu, Zhen Bai, Weisi Lin, and Haibin Ling

Then, following the coarse-to-fine strategy, we generate an initial coarse saliency map from high-level semantic features in a Correlation Module (CorrM).

object-detection Object Detection +1

Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Graph Information

no code implementations22 Dec 2021 Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang

Considering uncertainties and voltage fluctuation issues introduced by RERs, in this paper, we propose a deep reinforcement learning (DRL)-based strategy leveraging spatial-temporal (ST) graphical information of power systems, to dynamically search for the optimal operation, i. e., optimal power flow (OPF), of power systems with a high uptake of RERs.

reinforcement-learning Reinforcement Learning (RL)

Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images

1 code implementation2 Dec 2021 Gongyang Li, Zhi Liu, Weisi Lin, Haibin Ling

In this paper, we propose a novel Multi-Content Complementation Network (MCCNet) to explore the complementarity of multiple content for RSI-SOD.

object-detection Object Detection +1

On the regularization landscape for the linear recommendation models

no code implementations29 Sep 2021 Dong Li, Zhenming Liu, Ruoming Jin, Zhi Liu, Jing Gao, Bin Ren

Recently, a wide range of recommendation algorithms inspired by deep learning techniques have emerged as the performance leaders several standard recommendation benchmarks.

Spatio-Temporal Self-Attention Network for Video Saliency Prediction

no code implementations24 Aug 2021 Ziqiang Wang, Zhi Liu, Gongyang Li, Yang Wang, Tianhong Zhang, Lihua Xu, Jijun Wang

3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper.

Saliency Prediction Video Saliency Prediction

On Sampling Top-K Recommendation Evaluation

no code implementations20 Jun 2021 Dong Li, Ruoming Jin, Jing Gao, Zhi Liu

Recently, Rendle has warned that the use of sampling-based top-$k$ metrics might not suffice.

Towards a Better Understanding of Linear Models for Recommendation

no code implementations27 May 2021 Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou

Through the derivation and analysis of the closed-form solutions for two basic regression and matrix factorization approaches, we found these two approaches are indeed inherently related but also diverge in how they "scale-down" the singular values of the original user-item interaction matrix.


Elastic Deep Learning in Multi-Tenant GPU Clusters

no code implementations IEEE Transactions on Parallel and Distributed Systems 2021 Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu

We study how to support elasticity, that is, the ability to dynamically adjust the parallelism (i. e., the number of GPUs), for deep neural network (DNN) training in a GPU cluster.

Management Scheduling

On Estimating Recommendation Evaluation Metrics under Sampling

no code implementations2 Mar 2021 Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu

The proposed approaches either are rather uninformative (linking sampling to metric evaluation) or can only work on simple metrics, such as Recall/Precision (Krichene and Rendle 2020; Li et al. 2020).

Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network

no code implementations9 Feb 2021 Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang

In this paper, we propose a cross-modal self-attention (CMSA) module to utilize fine details of individual words and the input image or video, which effectively captures the long-range dependencies between linguistic and visual features.

Ranked #5 on Referring Expression Segmentation on J-HMDB (Precision@0.9 metric)

Referring Expression Referring Expression Segmentation +3

Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation

1 code implementation22 Jan 2021 Gongyang Li, Zhi Liu, Ran Shi, Zheng Hu, Weijie Wei, Yong Wu, Mengke Huang, Haibin Ling

In this paper, we focus on Personal Fixations-based Object Segmentation (PFOS) to address issues in previous studies, such as the lack of appropriate dataset and the ambiguity in fixations-based interaction.

Image Segmentation Object Localization +1

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV

1 code implementation3 Sep 2020 Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju

To this end, we propose a Decentralized Reinforcement Learning at the Edge for traffic light control in the IoV (DRLE).

Edge-computing Management +3

Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications

no code implementations15 Jul 2020 Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, Yusheng Ji

Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in the beyond fifth-generation networks.

Edge-computing Reinforcement Learning (RL)

Cross-Modal Weighting Network for RGB-D Salient Object Detection

2 code implementations ECCV 2020 Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling

In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive interactions between RGB and depth channels for RGB-D SOD.

object-detection Object Localization +3

Observables in quantum field theory on a collapsing black hole background

no code implementations28 Apr 2020 Micheal S. Berger, Zhi Liu

In a gravitational collapse scenario, they also depend on the details of the collapsing classical matter which determines the background spacetime.

General Relativity and Quantum Cosmology High Energy Physics - Theory

Implications of the virus-encoded miRNA and host miRNA in the pathogenicity of SARS-CoV-2

no code implementations10 Apr 2020 Zhi Liu, Jianwei Wang, Yuyu Xu, Mengchen Guo, Kai Mi, Rui Xu, Yang Pei, Qiangkun Zhang, Xiaoting Luan, Zhibin Hu, Xingyin Liu#

The outbreak of COVID-19 caused by SARS-CoV-2 has rapidly spread worldwide and has caused over 1, 400, 000 infections and 80, 000 deaths.

Genomics Biomolecules

Dual Convolutional LSTM Network for Referring Image Segmentation

no code implementations30 Jan 2020 Linwei Ye, Zhi Liu, Yang Wang

Given an input image and a referring expression in the form of a natural language sentence, the goal is to segment the object of interest in the image referred by the linguistic query.

Image Segmentation Natural Language Understanding +3

Robust Q-tunable topological induced transparency in metasurface

no code implementations23 Nov 2019 Jietao Liu, Zhi Liu, Ioannis Papakonstantinou, Xiaopeng Shao

In this study, we demonstrate first, to the best of our knowledge, robust and dynamically polarization-controlled tunable-high-Q PIT in designed nanostructures metasurface, whose sharp resonance is guaranteed by design and protected against large geometrical imperfections.

Optics Applied Physics

Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

no code implementations6 Aug 2019 Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis

In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.

Decision Making Management +1

BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis

no code implementations13 Jul 2019 Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren

The ever evolving informatics technology has gradually bounded human and computer in a compact way.

Deep Saliency Models : The Quest For The Loss Function

no code implementations4 Jul 2019 Alexandre Bruckert, Hamed R. -Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur

We demonstrate that on a fixed network architecture, modifying the loss function can significantly improve (or depreciate) the results, hence emphasizing the importance of the choice of the loss function when designing a model.

Saliency Prediction

AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System

no code implementations15 Apr 2018 Qiyue Li, Heng Qu, Zhi Liu, Nana Zhou, Wei Sun, Jie Li

Based on the extended fingerprint database, the accuracy of indoor localization system can be improved with reduced human effort.

Networking and Internet Architecture

Learning Semantic Segmentation with Diverse Supervision

no code implementations1 Feb 2018 Linwei Ye, Zhi Liu, Yang Wang

Models based on deep convolutional neural networks (CNN) have significantly improved the performance of semantic segmentation.

object-detection Object Detection +2

Face Parsing via a Fully-Convolutional Continuous CRF Neural Network

no code implementations12 Aug 2017 Lei Zhou, Zhi Liu, Xiangjian He

In this work, we address the face parsing task with a Fully-Convolutional continuous CRF Neural Network (FC-CNN) architecture.

Face Parsing Test

Computational Model for Predicting Visual Fixations from Childhood to Adulthood

no code implementations15 Feb 2017 Olivier Le Meur, Antoine Coutrot, Zhi Liu, Adrien Le Roch, Andrea Helo, Pia Rama

In this paper, we demonstrate that the computational modelling of visual attention, through the use of saccadic model, can be efficiently adapted to emulate the gaze behavior of a specific group of observers.

The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge

no code implementations24 Jul 2015 Shitao Weng, Shushan Chen, Lei Yu, Xuewei Wu, Weicheng Cai, Zhi Liu, Ming Li

In order to detect these spoofed speech signals as a countermeasure, we propose a score level fusion approach with several different i-vector subsystems.

Speaker Verification Speech Synthesis +2

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