b'Zheng Li'

Long Live The Image: Container-Native Data Persistence in Production

Containerization plays a crucial role in the de facto technology stack f...
03/03/2021 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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On a Factorial Knowledge Architecture for Data Science-powered Software Engineering

Given the data-intensive and collaborative trend in science, the softwar...
03/02/2021 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Stop Building Castles on a Swamp! The Crisis of Reproducing Automatic Search in Evidence-based Software Engineering

The evidence-based approach has increasingly been employed to synthesize...
03/02/2021 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling

The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortal...
02/25/2021 ∙ by Yingbai Hu, et al. ∙ 0 ∙ share

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Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

In this paper, we describe our system for the AAAI 2021 shared task of C...
01/07/2021 ∙ by Xiangyang Li, et al. ∙ 0 ∙ share

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Multimodal Topic Learning for Video Recommendation

Facilitated by deep neural networks, video recommendation systems have m...
10/26/2020 ∙ by Shi Pu, et al. ∙ 12 ∙ share

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Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond

Cross-lingual adaptation with multilingual pre-trained language models (...
10/23/2020 ∙ by Xin Li, et al. ∙ 0 ∙ share

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Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net

Quantitative Susceptibility Mapping (QSM) is a new phase-based technique...
10/12/2020 ∙ by Zhiyang Lu, et al. ∙ 6 ∙ share

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Online Knowledge Distillation via Multi-branch Diversity Enhancement

Knowledge distillation is an effective method to transfer the knowledge ...
10/02/2020 ∙ by Zheng Li, et al. ∙ 8 ∙ share

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Label-Leaks: Membership Inference Attack with Label

Machine learning (ML) has made tremendous progress during the past decad...
07/30/2020 ∙ by Zheng Li, et al. ∙ 31 ∙ share

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Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge

At present, the deep end-to-end method based on supervised learning is u...
07/08/2020 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Research on Annotation Rules and Recognition Algorithm Based on Phrase Window

At present, most Natural Language Processing technology is based on the ...
07/07/2020 ∙ by Guang Liu, et al. ∙ 0 ∙ share

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Exploiting Visual Semantic Reasoning for Video-Text Retrieval

Video retrieval is a challenging research topic bridging the vision and ...
06/16/2020 ∙ by Zerun Feng, et al. ∙ 3 ∙ share

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AP20-OLR Challenge: Three Tasks and Their Baselines

This paper introduces the fifth oriental language recognition (OLR) chal...
06/04/2020 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Indexing Metric Spaces for Exact Similarity Search

With the continued digitalization of societal processes, we are seeing a...
05/07/2020 ∙ by Lu Chen, et al. ∙ 0 ∙ share

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Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation

Rate splitting (RS) is a potentially powerful and flexible technique for...
02/17/2020 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Multi-Agent Deep Reinforcement Learning based Spectrum Allocation for D2D Underlay Communications

Device-to-device (D2D) communication underlay cellular networks is a pro...
12/18/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on constrained example-based s...
11/04/2019 ∙ by Kai Zhang, et al. ∙ 12 ∙ share

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Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning

Joint extraction of aspects and sentiments can be effectively formulated...
10/31/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Non-uniform Berry-Esseen Bound by Unbounded Exchangeable Pair Approach

Since Stein presented his ideas in the seminal paper s1, there have been...
09/30/2019 ∙ by Dali Liu, et al. ∙ 0 ∙ share

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Hybrid LBM-FVM and LBM-MCM Methods for Fluid Flow and Heat Transfer Simulation

The fluid flow and heat transfer problems encountered in industry applic...
08/18/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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SVGD: A Virtual Gradients Descent Method for Stochastic Optimization

Inspired by dynamic programming, we propose Stochastic Virtual Gradient ...
07/09/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches

Machine learning algorithms have made significant advances in many appli...
05/28/2019 ∙ by Xiaocong Du, et al. ∙ 0 ∙ share

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CGaP: Continuous Growth and Pruning for Efficient Deep Learning

Today a canonical approach to reduce the computation cost of Deep Neural...
05/27/2019 ∙ by Xiaocong Du, et al. ∙ 0 ∙ share

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Efficient Network Construction through Structural Plasticity

Deep Neural Networks (DNNs) on hardware is facing excessive computation ...
05/27/2019 ∙ by Xiaocong Du, et al. ∙ 0 ∙ share

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SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula

Synthetic population generation is the process of combining multiple soc...
04/16/2019 ∙ by Colin Wan, et al. ∙ 0 ∙ share

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A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Communications

Device-to-device (D2D) communication has been recognized as a promising ...
04/14/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Underlay Communications

Device-to-device (D2D) underlay communication improves spectrum efficien...
04/14/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Lightweight Image Super-Resolution with Adaptive Weighted Learning Network

Deep learning has been successfully applied to the single-image super-re...
04/04/2019 ∙ by Chaofeng Wang, et al. ∙ 0 ∙ share

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Learning Symmetric and Asymmetric Steganography via Adversarial Training

Steganography refers to the art of concealing secret messages within mul...
03/13/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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DeepStego: Protecting Intellectual Property of Deep Neural Networks by Steganography

Deep Neural Networks (DNNs) has shown great success in various challengi...
03/05/2019 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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PyOD: A Python Toolbox for Scalable Outlier Detection

PyOD is an open-source Python toolbox for performing scalable outlier de...
01/06/2019 ∙ by Yue Zhao, et al. ∙ 0 ∙ share

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LSCP: Locally Selective Combination in Parallel Outlier Ensembles

In unsupervised outlier ensembles, the absence of ground truth makes the...
12/04/2018 ∙ by Yue Zhao, et al. ∙ 0 ∙ share

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Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification

Aspect-level sentiment classification (ASC) aims at identifying sentimen...
11/16/2018 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Linearly Precoded Rate Splitting: Optimality and Non-Optimality for MIMO Broadcast Channels

In this paper, we consider a general K-user multiple-input multiple-outp...
08/06/2018 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Exploiting Location Information to Enhance Throughput in Downlink V2I Systems

Vehicle-to-Infrastructure (V2I) technology, combined with millimeter wav...
05/10/2018 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Object-Oriented Sokoban Solver: A Serious Game Project for OOAD and AI Education

Serious games are beneficial for education in various computer science a...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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DoKnowMe: Towards a Domain Knowledge-driven Methodology for Performance Evaluation

Software engineering considers performance evaluation to be one of the k...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Boosting Metrics for Cloud Services Evaluation -- The Last Mile of Using Benchmark Suites

Benchmark suites are significant for evaluating various aspects of Cloud...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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On Evaluating Commercial Cloud Services: A Systematic Review

Background: Cloud Computing is increasingly booming in industry with man...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Using a Predator-Prey Model to Explain Variations of Cloud Spot Price

The spot pricing scheme has been considered to be resource-efficient for...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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On a Feedback Control-based Mechanism of Bidding for Cloud Spot Service

As a cost-effective option for Cloud consumers, spot service has been co...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Early Observations on Performance of Google Compute Engine for Scientific Computing

Although Cloud computing emerged for business applications in industry, ...
12/23/2013 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Zheng Li

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