Jing Liu's research while affiliated with Tianjin University and other places
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Publications (204)
Displaying low bit-depth (LBD) images in high bit-depth (HBD) monitors will cause structural distortions, resulting in the explosion of advanced bit-depth enhancement (BDE) methods. Despite the recent progress, current BDE works cannot entirely remove false contours and color shifts as they focus on the overall image quality while leaving these vis...
Flexible electronic and optoelectronic devices are highly desirable for various emerging applications, such as human-computer interfaces, wearable medical electronics, flexible display, etc. Layered two-dimensional (2D) material is one of the most promising types of materials to develop flexible devices due to its atomically thin thickness, which g...
Social media popularity prediction refers to using multi-modal content to predict the popularity of a post offered by an internet user. It is an effective way to explore advanced forecasting trends and make more popularity-sensitive strategic decisions for the future. Existing methods attempt to explore various multi-model features to solve this ta...
Two-dimensional (2D) materials are promising candidates for developing next generation electronic/optoelectronic devices with programmable multi functions, due to their widely tunable properties by various physical stimuli. Mechanical strain is one of the most promising means to effectively modulate the physical properties of 2D materials. Neverthe...
Bit-depth enhancement (BDE) plays an important role in providing high bit-depth data support for high-dynamic range (HDR) display. Although convolutional neural network (CNN) based BDE methods have achieved top performance, multiscale feature extraction and fusion still suffer from some inherent architectural flaws. Moreover, the training-data-scar...
Siamese trackers have received a lot of attentions due to their promising performance and real-time high speed. However, the robustness is generally limited especially in challenging conditions, such as occlusion. Motivated by that tracking failure does not always occur and the target movement tends to follow certain patterns, in the paper, we prop...
Comprehensive understanding of video content requires both spatial and temporal localization. However, there lacks a unified video action localization framework, which hinders the coordinated development of this field. Existing 3D CNN methods take fixed and limited input length at the cost of ignoring temporally long-range cross-modal interaction....
In mobile edge computing (MEC), mobile devices can choose to offload their tasks to edge servers for execution, thereby effectively reducing the completion time of tasks and energy consumption of mobile devices. However, most of the data transfer brought by offloading relies on wireless communication technology, making the private information of mo...
Defect engineering is a promising means to create patterns on two-dimensional (2D) materials to enable unconventional properties. However, defects usually exist abundantly and randomly on 2D materials, which makes it difficult to tune the properties in a controllable manner. Therefore, it is highly desirable to find out the formation mechanism and...
For imbalanced classification, data-level methods can achieve inter-class balance, but the samples generated do not contain new information and cannot avoid the problem of introducing noise. Algorithm-level methods may lead to overfitting of the model, and its classification effect is more dependent on the specific dataset and classification task,...
Energy efficiency is a significant issue in heterogeneous edge computing systems for a large number of latency-sensitive applications. This article presents an efficient technique to minimize energy overhead of time-constrained applications modeled by DAGs in heterogeneous edge computing. The technique is divided into three stages. First, we design...
Irregular text recognition of natural scene is a challenging task due to large span of character angles and morphological diversity of a word. Recent work first rectifies curved word region, and then employ sequence algorithm to complete the recognition task. However, this strategy largely depends on rectification quality of the text region, and ca...
As moving objects always draw more attention of human eyes, the temporal motion information is always exploited complementarily with spatial information to detect salient objects in videos. Although efficient tools such as optical flow have been proposed to extract temporal motion information, it often encounters difficulties when used for saliency...
Multi-Access edge computing (MEC) enables less resourceful smart mobile devices (SMDs) to use computation and memory intensive applications by offloading them to edge servers with tolerant latency, significantly improving the computing paradigm of SMDs. But, when involving mobility in MEC, offloading strategy and overhead can be significantly influ...
While existing imbalanced classification methods have made great progress, there are still some challenges in the current imbalanced learning field: (1) How to achieve the balance between classes without introducing noise and losing information; (2) How to mine the differences between classes from datasets with a relatively small number of positive...
Bit-depth enhancement (BDE) is a challenging task due to stubborn false contour artifacts and disappeared detailed information. Given the mixture of structural distortions and real edges in low bit-depth (LBD) images, both large and small receptive fields (RFs) are critical for BDE tasks. However, even powerful state-of-the-art CNN-based methods ca...
Perusing elastomers capable of self-healing offers new opportunities to enable next-generation flexible electronics, but remains greatly challenging; because, few of them can simultaneously possess desirable mechanical strength, elasticity, and self-healing efficiency. Herein, a dynamic dual-cross-linked networks strategy is employed to develop the...
Atomically thin two-dimensional (2D) materials are promising candidates to develop flash memories with premium performances as compared to conventional bulk materials, because of their ultra-thin thickness and highly tunable electrical properties. So far, most of the reported 2D material based flash memories work in the uni-polar mode, which usuall...
The thermoelectric effects of topological semimetals have attracted tremendous research interest because many topological semimetals are excellent thermoelectric materials and thermoelectricity serves as one of their most important potential applications. In this work, we reveal the transient photothermoelectric response of Dirac semimetallic Cd3As...
The thermoelectric effects of topological semimetals have attracted tremendous research interest because many topological semimetals are excellent thermoelectric materials and thermoelectricity serves as one of their most important potential applications. In this work, we reveal the transient photothermoelectric response of Dirac semimetallic Cd3As...
Recently, Siamese trackers have received widespread attention for visual object tracking owing to their good balance between speed and performance. Those Siamese trackers heavily depend on target template while conventional practice fixes the template to initial frame. This strategy makes it unable to cope with variation of target appearance, which...
With the rise of fully convolutional networks (FCN), in recent years, more and more models of salient object detection based on deep learning have used or modified FCN to perform pixel-level saliency prediction. However, many existing algorithms lack accurate saliency edges due to insufficient use of edge information. In this paper, we solve this p...
Atomically two-dimensional (2D) materials have generated widespread interest for novel electronics and optoelectronics. Specially, owing to atomically thin 2D structure, the electronic bandgap of 2D semiconductors can be engineered by manipulating the surrounding dielectric environment. In this work, we develop an effective and controllable approac...
Bit-depth enhancement (BDE) restores high bit-depth (HBD) images from low bit-depth (LBD) ones, which has important applications. Recently, residual-optimized BDE algorithms based on convolutional neural networks (CNNs) have achieved top performance. However, they fail to use a single model to accurately recover all frequency information encoded by...
Video bit-depth enhancement (VBDE) reconstructs high-bit-depth (HBD) frames from a low-bit-depth (LBD) video sequence. As neighboring frames contain a considerable amount of complementary information related to the center frame, it is vital for VBDE to exploit neighboring frames as much as possible. Conventional VBDE algorithms with explicit alignm...
Microstructure changes in the catalyst layer (CL) of polymer electrolyte membrane fuel cell (PEMFC) cause the performance degradation, especially under dynamic operating conditions. In this study, the effect of relative humidity (RH) cycling on the CL microstructure changes, the associated mechanisms, and fuel cell performance degradation are inves...
In this paper, we propose a new model-free knowledge distillation scheme. We attempt on distilling the knowledge about the decision-making process and design a novel generative adversarial network, named as DBI-GAN, to generate instances located on the decision boundary of the teacher network. By depicting the decision-making process of the teacher...
Face completion is a domain-specific image inpainting problem. Most existing face completion methods fail to synthesize fine-grained facial structures due to the undifferentiated treatment of face images and other scene images. To handle this problem, we propose an end-to-end deep generative model based approach which makes full use of the facial p...
Two-dimensional (2d) transition-metal dichalcogenides (TMDCs) are promising candidate materials for developing next generation nano optoelectronic devices, due to their strong interaction with light. In addition, the free of surface dangling bonds makes it possible to stacking any different types of 2D TMDCs together to form heterojunctions with de...
Nowadays, a new paradigm named mobile edge computing (MEC) is capable of supplying some cloud‐like functions at the edges of wireless networks, which enables vehicles to offload the computation intensive tasks on MEC servers with low latency. However, new challenges posed by the complex network environment and the mobility of vehicles are usually n...
Since more demands for high quality visualization have been raised in various fields, monitors with higher bit-depth (HBD) become popular in recent years. However, most digital images are at low bit-depth (LBD) and usually of low visual quality with annoying false contours when displayed on HBD monitors directly. To reconstruct visually pleasant HB...
Flexible photodetectors are fundamental elements to develop flexible/wearable systems, which can be widely used for in situ health and environmental monitoring, human–machine interacting, flexible displaying, etc. However, the degraded performance or even malfunction under severe mechanical deformation and/or damage remains a key challenge for curr...
Layered ReS 2 with direct bandgap and strong in-plane anisotropy shows great potential to develop high-performance angle-resolved photodetectors and optoelectronic devices. However, systematic characterizations of the angle-dependent photoresponse of ReS 2 are still very limited. Here, we studied the anisotropic photoresponse of layered ReS 2 photo...
Electrical synaptic devices are the basic components for the hardware based neuromorphic computational systems, which are expected to break the bottleneck of current von Neumann architecture. So far, synaptic devices based on three-terminal transistors are considered to provide the most stable performances, which usually use gate pulses to modulate...
van der Waals layered heterojunctions have a variety of band offsets that open up possibilities for a wide range of novel and multifunctional devices. However, due to their poor pristine carrier concentrations and limited band modulation methods, multifunctional p-n heterojunctions are very difficult to achieve. In this report, we developed a highl...
Two-dimensional molybdenum disulfide (MoS2) possesses premium electrical, optoelectrical and valleytronic properties to develop future nano-electronic and optoelectronic devices. Valleytronic material platform with anisotropic response is highly desired to develop polarization sensitive valleytronic devices. In this work, we acquire monolayer MoS2...
Programmable capability is highly demanded by adaptive multifunctional electronic and optoelectronic devices in various application fields, including logic circuits and data storage and sensing. The ideal platform to develop programmable devices is the van der Waals heterostructures (vdWHs) integrated by atomically thin layered two-dimensional tran...
Concentrically elliptical coherent diffraction rings are observed when a collimated laser beam is reflected from a mica substrate with Cd3As2 nano-films grown on it. The diffraction pattern is found to be an interference effect of light reflected from the elastic deformation of the mica substrate. The deformation of the substrate is induced by the...
In recent years, an increasing online shopping demand has greatly promoted the innovation and development of the fashion industry. Visual fashion analysis has become a prospective research topic in computer vision and multimedia fields. Among these studies, fashion compatibility analysis is required in many real-world applications, such as fashion...
As a tradeoff between supercapacitors and batteries, lithium-ion capacitors (LICs) are designed to deliver high energy density, high power density, and long cycling stability. Owing to the different energy storage mechanisms of capacitor-type cathodes and battery-type anodes, engineering and fabricating LICs with excellent energy density and power...
The main problems faced in the line loss management of the distribution network are the incomplete meter configuration, the difficulty of collecting operating data, and the excessive number of components and nodes. These problems lead to a very complicated calculation of line loss rate. This paper proposes an improved BP neural network estimation m...
Line loss rate of substation area is a comprehensive economic and technical index of power companies. With the continuous expansion of grid connected scale of distributed generation, accurate calculation of line loss rate of substation area with distributed generation is imminent. In this paper, considering the basic operation attributes and the gr...
In this paper, we report the results of the first international contest on mitosis detection in phase-contrast microscopy image sequences (
https://www.iti-tju.org/mitosisdetection
), which was held at the workshop of computer vision for microscopy image analysis (CVMI) in CVPR 2019. This contest aims to promote research on spatiotemporal mitosis...
Two-dimensional (2D) transition metal dichalcogenides (TMDCs) such as tungsten diselenide (WSe 2 ) have spead many interesting physical properties, which may become ideal candidates to develop new generation electronic and optoelectronic devices. In order to reveal essential features of 2D TMDCs, it is necessary to fabricate high-quality devices wi...
As moving objects always draw more attention of human eyes, the temporal motive information is always exploited complementarily with spatial information to detect salient objects in videos. Although efficient tools such as optical flow have been proposed to extract temporal motive information, it often encounters difficulties when used for saliency...
Piezotronic and piezo-phototronic effects have attracted much attention as promising approaches for active electronic/optoelectronic devices. However, the piezotronic and piezo-phototronic devices in previous reports are mainly based on nanowires or two-dimensional transition-metal dichalcogenides that have size of several micrometers along the pol...
The frequency doubler is a fundamental element in high frequency integrated circuits, which is usually implemented by a large number of devices in conventional configurations. In this article, we demonstrate a frequency doubler consisting of only one single heterostructure device by stacking two atomically thin MoTe2 and MoS2 flakes together. The r...
Flash memories and semiconductor p-n junctions are two elementary but incompatible building blocks of most electronic and optoelectronic devices. The pressing demand to efficiently transfer massive data between memories and logic circuits, as well as for high data storage capability and device integration density, has fueled the rapid growth of tec...
Charge-trapping memories based on two-dimensional (2D) material heterostructures possess atomically thin structure and excellent charge transport capability, making them promising candidates for next-generation flash memories to achieve miniaturized size, high storage capacity, fast switch speed, and low power consumption. Here, we report a nonvola...
Heterostructures formed by stacking atomically thin two-dimensional materials are promising candidates for flash memory devices to achieve premium performances, due to the capability of effective carrier modulation and unique charge trapping behavior at the interfaces with atomic flatness. Here, we report a nonvolatile floating-gate flash memory ba...
Image memorability prediction aims to estimate the degree to which an image is remembered from the visual content. Generally, the core problem for image memorability prediction is how to obtain effective feature representation to characterize the visual content of an image. In contrast to existing methods which focus more on exploring factors that...
Semimetals are being explored for their unique advantages in low-energy high-speed photodetection, although they suffer from serious drawbacks such as an intrinsically high dark current. In this Perspective, we envision the exploitation of topological effects in the photoresponse of these materials as a promising route to circumvent these problems....
![FIGURE 10: The task graph of the molecular dynamics code [40].](publication/341886002/figure/fig4/AS:898505119920128@1591231722132/The-task-graph-of-the-molecular-dynamics-code-40_Q320.jpg)
Due to high performance and low power consumption, heterogeneous processors are widely used in many real-time systems. In these systems, if tasks are not completed before deadline, it will cause disastrous consequences, and thus it is important to provide fault-tolerance. This paper proposes a novel, adaptive and transient fault-tolerant scheduling...
Image quality assessment (IQA) has become a rapidly growing field of technology as it automatically predicts the perceptual quality, which is of vital importance for consumer-centric services. However, most existing IQA algorithms focus on predicting the mean opinion score regardless of the inevitable opinion diversity. To address this shortcoming,...
Semimetals are being explored for their unique advantages in low-energy high-speed photodetection, although they suffer from serious drawbacks such as an intrinsically high dark current. In this perspective, we envision the exploitation of topological effects in the photoresponse of these materials as a promising route to circumvent these problems....
Despite many decades of substantial research of doping technologies, which are critical for 2D materials used in optical and electrical devices, efforts on selective doping 2D materials are still scarce. Here, a novel band matching doping strategy is introduced in high selective doping WSe2. The key to its realization is the use of dopants whose mo...
The discovery of two-dimensional transition metal dichalcogenides (2D TMDs) has promised next-generation photonics and optoelectronics applications, particularly in the realm of nanophotonics. Arguably, the most crucial fundamental processes in these applications are exciton migration and charge transfer in 2D TMDs. However, exciton dynamics in 2D...
Salient objects with complex shapes and arbitrary sizes are generally hard to detect, especially in cluttered background and complex scenes. Noticing the deficiency of single-feature-based methods, recent methods fused multiple features from Deep Neural Networks (DNNs) and obtained better performance thanks to the hierarchical feature representatio...
As a smart visual attention mechanism to analyze visual scenes, visual saliency has been shown to closely correlate with semantic information such as faces. Although many semantic-information-guided saliency models have been proposed, to the best of our knowledge, no semantic information in affective domain has been employed for saliency detection....
As an important component of trains, rolling bearing is always faced with the defection of shed oil, which inevitably threatens the train safety. Therefore, it is of great significance to conduct defection inspection on bearing shed oil. Due to the complex structure of rolling bearings, traditional signal analysis approaches cannot detect the defec...
The currently flourishing fashion-oriented community websites and the continuous pursuit of fashion have attracted the increased research interest of the fashion analysis community. Many studies show that predicting the compatibility of fashion outfits is a nontrivial task due to the difficulty in capturing the implicit patterns affecting fashion c...
[This corrects the article DOI: 10.3762/bjnano.10.170.].
Graphene and transition metal dichalcogenides (TMDs), two-dimensional materials, have been investigated wildely in recent years. As a member of the TMD family, MoTe 2 possesses a suitable bandgap of ∼ 1.0 eV for near infrared (NIR) photodetection. Here we stack the MoTe 2 flake with two graphene flakes of high carrier mobility to form a graphene–Mo...
With the explosively increasing of mobile phones and other oriented camera devices, more and more video data is captured and stored. This brings out an urgent need for fast browsing and understanding video contents. Automatic generation of video summarization is one of effective techniques to tackle these problems which extracts succinct summaries...
Image quality assessment is a challenge problem in image processing area. Previous works usually predict the mean opinion score (MOS) to evaluate image quality. However, it is found that the distribution of opinion scores provides richer and more precise semantics information. Therefore, in this work, we focus on the distribution of opinion scores...
Anisotropic 2D materials exhibit novel optical, electrical and thermoelectric properties that open possibilities for a great variety of angle-dependent devices. Recently, quantitative research on 1T’-WTe2 has been reported, revealing its fascinating physical properties such as non-saturating magnetoresistance, highly anisotropic crystalline structu...
The discovery of atomically thin two-dimensional materials enables building numerous van der Waals heterostructures with original and promising properties for potential electronic and optoelectronic applications. Among them, the antiambipolar characteristic is one of the most appealing ones, which refers to the inverse “V” shape of the transfer cur...