39 Result(s)
within
Shi-** Zhu
Computer Science
English
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Article
Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision
Although neural approaches have yielded state-of-the-art results in the sentence matching task, their performance inevitably drops dramatically when applied to unseen domains. To tackle this cross-domain chall...
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Article
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network
This paper focuses on end-to-end task-oriented dialogue systems, which jointly handle dialogue state tracking (DST) and response generation. Traditional methods usually adopt a supervised paradigm to learn DST...
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Chapter and Conference Paper
A Distilled 2D CNN-LSTM Framework with Temporal Attention Mechanism for Action Recognition
Action Recognition has been studied for many years. In recent years, there are some methods using 3D-CNN (C3D, I3D, R2 + 1D), which have high accuracy, but it is hard to train and quite time-consuming due to t...
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Article
Graph fusion network for multi-oriented object detection
In object detection, non-maximum suppression (NMS) methods are extensively adopted to remove horizontal duplicates of detected dense boxes for generating final object instances. However, due to the degraded qu...
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Article
Open AccessA practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples
Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimer’s disease (AD), based on magnetic resonance imaging (MRI). Many machine...
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Article
A Unified Shared-Private Network with Denoising for Dialogue State Tracking
Dialogue state tracking (DST) leverages dialogue information to predict dialogues states which are generally represented as slot-value pairs. However, previous work usually has limitations to efficiently predi...
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Article
Filling the gap: thermal properties and device applications of graphene
With the miniaturization and integration of electronic devices, the heat dissipation problems caused by higher power density are getting more serious, limiting the development of integrated circuits industry. ...
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Article
Heterogeneous defect prediction with two-stage ensemble learning
Heterogeneous defect prediction (HDP) refers to predicting defect-prone software modules in one project (target) using heterogeneous data collected from other projects (source). Recently, several HDP methods h...
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Article
A Large Chinese Text Dataset in the Wild
In this paper, we introduce a very large Chinese text dataset in the wild. While optical character recognition (OCR) in document images is well studied and many commercial tools are available, the detection an...
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Article
1.3-µm 4×25-Gb/s hybrid integrated TOSA and ROSA
The design and fabrication of a compact and low-cost 4×25-Gb/s transmitter optical sub-assembly (TOSA) and receiver optical sub-assembly (ROSA) using a hybrid integrated technique are reported. TOSA and ROSA a...
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Chapter and Conference Paper
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
Deep learning methods have achieved promising performance in many areas, but they are still struggling with noisy-labeled images during the training process. Considering that the annotation quality indispensab...
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Article
Energy management for multi-microgrid system based on model predictive control
To reduce the computation complexity of the optimization algorithm used in energy management of a multi-microgrid system, an energy optimization management method based on model predictive control is presented...
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Article
An oversampling approach for mining program specifications
Automatic protocol mining is a promising approach for inferring accurate and complete API protocols. However, just as with any data-mining technique, this approach requires sufficient training data (object usa...
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Article
A space-saving steering method for underwater gliders in lake monitoring
An increasing number of underwater gliders have been applied to lake monitoring. Lakes have a limited vertical space. Therefore, good space-saving capacity is required for underwater gliders to enlarge the spa...
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Article
Approximate Continuous Top-k Query over Sliding Window
Continuous top-k query over sliding window is a fundamental problem in database, which retrieves k objects with the highest scores when the window slides. Existing studies mainly adopt exact algorithms to tackle ...
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Article
xBreeze/ADL: A language for software architecture specification and analysis
Architecture description languages play an important role in modelling software architectures. However, many architecture description languages (ADLs) are either unable to deal with the verification and dynami...
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Article
Open AccessPanorama completion for street views
This paper considers panorama images used for street views. Their viewing angle of 360° causes pixels at the top and bottom to appear stretched and warped. Although current image completion algorithms work wel...
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Article
Adaptive contourlet-wavelet iterative shrinkage/thresholding for remote sensing image restoration
In this paper, we present an adaptive two-step contourlet-wavelet iterative shrinkage/thresholding (TcwIST) algorithm for remote sensing image restoration. This algorithm can be used to deal with various linea...
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Chapter and Conference Paper
The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems
Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in short big data systems) is a h...
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Article
Adapting grid computing environments dependable with virtual machines: design, implementation, and evaluations
Due to its potential, using virtual machines in grid computing is attracting increasing attention. Most of the researches focus on how to create or destroy a virtual execution environments for different kinds ...
