Institute of Software, Chinese Academy of Sciences

The Institute of Software, Chinese Academy of Sciences (ISCAS) is a leading research institute in China, which focuses on the fundamental theories of computer science as well as software technologies and their applications. As a part of the Chinese Academy of Sciences (CAS), ISCAS is a government-sponsored institution. Through our research results and innovations, we hope to establish an international reputation in academia and to assist in the development and growth of Chinas software industry.

Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction

The lack of interpretability of existing CNN-based hand detection method...
01/13/2020 ∙ by Dan Liu, et al. ∙ 13 ∙ share

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Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module

Object detection has taken advantage of the advances in deep convolution...
04/18/2020 ∙ by Yanlu Wei, et al. ∙ 8 ∙ share

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Learning Semantic Neural Tree for Human Parsing

The majority of existing human parsing methods formulate the task as sem...
12/20/2019 ∙ by Ruyi Ji, et al. ∙ 6 ∙ share

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Sharing deep generative representation for perceived image reconstruction from human brain activity

Decoding human brain activities via functional magnetic resonance imagin...
04/25/2017 ∙ by Changde Du, et al. ∙ 0 ∙ share

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Joint Hand Detection and Rotation Estimation by Using CNN

Hand detection is essential for many hand related tasks, e.g. parsing ha...
12/08/2016 ∙ by Xiaoming Deng, et al. ∙ 0 ∙ share

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GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring

Fisher vector has been widely used in many multimedia retrieval and visu...
04/12/2016 ∙ by Wenying Ma, et al. ∙ 0 ∙ share

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Joint RNN Model for Argument Component Boundary Detection

Argument Component Boundary Detection (ACBD) is an important sub-task in...
05/05/2017 ∙ by Minglan Li, et al. ∙ 0 ∙ share

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Crowdsourcing Argumentation Structures in Chinese Hotel Reviews

Argumentation mining aims at automatically extracting the premises-claim...
05/05/2017 ∙ by Mengxue Li, et al. ∙ 0 ∙ share

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Reinforcement Learning Based Argument Component Detection

Argument component detection (ACD) is an important sub-task in argumenta...
02/21/2017 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Parallel energy-stable phase field crystal simulations based on domain decomposition methods

In this paper, we present a parallel numerical algorithm for solving the...
03/03/2017 ∙ by Ying Wei, et al. ∙ 0 ∙ share

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Cutting Away the Confusion From Crowdtesting

Crowdtesting is effective especially when it comes to the feedback on GU...
05/07/2018 ∙ by Junjie Wang, et al. ∙ 0 ∙ share

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Effective Automated Decision Support for Managing Crowdtesting

Crowdtesting has grown to be an effective alter-native to traditional te...
05/07/2018 ∙ by Junjie Wang, et al. ∙ 0 ∙ share

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Crowdtesting : When is The Party Over?

Trade-offs such as "how much testing is enough" are critical yet challen...
05/08/2018 ∙ by Junjie Wang, et al. ∙ 0 ∙ share

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Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing

This paper proposes a neural semantic parsing approach -- Sequence-to-Ac...
09/04/2018 ∙ by Bo Chen, et al. ∙ 0 ∙ share

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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval

Pseudo-relevance feedback (PRF) is commonly used to boost the performanc...
10/30/2018 ∙ by Canjia Li, et al. ∙ 0 ∙ share

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Sentence Rewriting for Semantic Parsing

A major challenge of semantic parsing is the vocabulary mismatch problem...
01/10/2019 ∙ by Bo Chen, et al. ∙ 0 ∙ share

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Optimizing seed inputs in fuzzing with machine learning

The success of a fuzzing campaign is heavily depending on the quality of...
02/07/2019 ∙ by Liang Cheng, et al. ∙ 0 ∙ share

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Speeding up Deep Learning with Transient Servers

Distributed training frameworks, like TensorFlow, have been proposed as ...
02/28/2019 ∙ by Shijian Li, et al. ∙ 0 ∙ share

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A Research and Strategy of Remote Sensing Image Denoising Algorithms

Most raw data download from satellites are useless, resulting in transmi...
05/24/2019 ∙ by Ling Li, et al. ∙ 0 ∙ share

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A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images

In recent years, with the development of aerospace technology, we use mo...
05/24/2019 ∙ by Junxing Hu, et al. ∙ 0 ∙ share

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Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

In aspect-level sentiment classification (ASC), it is prevalent to equip...
06/04/2019 ∙ by Jialong Tang, et al. ∙ 0 ∙ share

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Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

Sequential labeling-based NER approaches restrict each word belonging to...
06/10/2019 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Existing hand detection methods usually follow the pipeline of multiple ...
06/11/2019 ∙ by Dan Liu, et al. ∙ 0 ∙ share

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Cost-sensitive Regularization for Label Confusion-aware Event Detection

In supervised event detection, most of the mislabeling occurs between a ...
06/14/2019 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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A Comprehensive Formal Security Analysis and Revision of the Two-phase Key Exchange Primitive of TPM 2.0

The Trusted Platform Module (TPM) version 2.0, which has been demonstrat...
06/16/2019 ∙ by Qianying Zhang, et al. ∙ 0 ∙ share

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Feedback-based, Automated Failure Testing of Microservice-based Applications

Modern distributed applications are moving toward a microservice archite...
08/18/2019 ∙ by Chengxu Cui, et al. ∙ 0 ∙ share

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Puncturable Signatures and Applications in Proof-of-Stake Blockchain Protocol

Proof-of-stake (PoS) blockchain protocols are emerging as one of the mos...
09/09/2019 ∙ by Xinyu Li, et al. ∙ 0 ∙ share

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SiamMan: Siamese Motion-aware Network for Visual Tracking

In this paper, we present a novel siamese motion-aware network (SiamMan)...
12/11/2019 ∙ by Wenzhang Zhou, et al. ∙ 0 ∙ share

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A Variational Staggered Particle Framework for Incompressible Free-Surface Flows

Smoothed particle hydrodynamics (SPH) has been extensively studied in co...
01/26/2020 ∙ by Xiaowei He, et al. ∙ 0 ∙ share

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PEL-BERT: A Joint Model for Protocol Entity Linking

Pre-trained models such as BERT are widely used in NLP tasks and are fin...
01/28/2020 ∙ by Shoubin Li, et al. ∙ 0 ∙ share

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Rethinking Object Detection in Retail Stores

The convention standard for object detection uses a bounding box to repr...
03/18/2020 ∙ by Yuanqiang Cai, et al. ∙ 0 ∙ share

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Efficient Alternating Least Squares Algorithms for Truncated HOSVD of Higher-Order Tensors

The truncated Tucker decomposition, also known as the truncated higher-o...
04/06/2020 ∙ by Chuanfu Xiao, et al. ∙ 0 ∙ share

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PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries

We present PFNN, a penalty-free neural network method, to efficiently so...
04/14/2020 ∙ by Hailong Sheng, et al. ∙ 0 ∙ share

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A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?

Fine-tuning pretrained model has achieved promising performance on stand...
04/25/2020 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity

Despite numerous efforts for optimizing the performance of Sparse Matrix...
06/30/2020 ∙ by Min Li, et al. ∙ 0 ∙ share

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Parallel energy-stable solver for a coupled Allen-Cahn and Cahn-Hilliard system

In this paper, we study numerical methods for solving the coupled Allen-...
07/09/2020 ∙ by Jizu Huang, et al. ∙ 0 ∙ share

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Fuzzing Based on Function Importance by Attributed Call Graph

Fuzzing has become one of the important methods for vulnerability detect...
10/07/2020 ∙ by Wenshuo Wang, et al. ∙ 0 ∙ share

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Institute of Software, Chinese Academy of Sciences

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