Institute of Software, Chinese Academy of Sciences

∙ China ∙ 0 followers

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.

Featured Researchers

Hao Wang
259 publications
Yang Zhang
141 publications
Qing Wang
91 publications
Chao Yang
87 publications
Zhe Liu
75 publications
Bo Chen
73 publications
Chen Zhang
62 publications
Xiao Chen
60 publications
Hao Cheng
57 publications
Yang Gao
52 publications
Chen Zhao
50 publications

∙ 01/11/2022

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach

Recent works explore learning graph representations in a self-supervised...

Hang Gao, et al. ∙

∙ 07/17/2021

Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix

The advance in machine learning (ML)-driven natural language process (NL...

Wenshuo Wang, et al. ∙

∙ 01/13/2020

Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction

The lack of interpretability of existing CNN-based hand detection method...

Dan Liu, et al. ∙

∙ 04/18/2020

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...

Yanlu Wei, et al. ∙

∙ 01/04/2021

CASS: Towards Building a Social-Support Chatbot for Online Health Community

Chatbots systems, despite their popularity in today's HCI and CSCW resea...

Liuping Wang, et al. ∙

∙ 12/20/2019

Learning Semantic Neural Tree for Human Parsing

The majority of existing human parsing methods formulate the task as sem...

Ruyi Ji, et al. ∙

∙ 12/23/2021

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

The malware has been being one of the most damaging threats to computers...

Xiang Ling, et al. ∙

∙ 06/14/2022

Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data

High-fidelity reconstruction of fluids from sparse multiview RGB videos ...

Mengyu Chu, et al. ∙

∙ 04/25/2017

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

Decoding human brain activities via functional magnetic resonance imagin...

Changde Du, et al. ∙

∙ 12/08/2016

Joint Hand Detection and Rotation Estimation by Using CNN

Hand detection is essential for many hand related tasks, e.g. parsing ha...

Xiaoming Deng, et al. ∙

∙ 04/12/2016

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

Fisher vector has been widely used in many multimedia retrieval and visu...

Wenying Ma, et al. ∙

∙ 05/05/2017

Joint RNN Model for Argument Component Boundary Detection

Argument Component Boundary Detection (ACBD) is an important sub-task in...

Minglan Li, et al. ∙

∙ 05/05/2017

Crowdsourcing Argumentation Structures in Chinese Hotel Reviews

Argumentation mining aims at automatically extracting the premises-claim...

Mengxue Li, et al. ∙

∙ 02/21/2017

Reinforcement Learning Based Argument Component Detection

Argument component detection (ACD) is an important sub-task in argumenta...

Yang Gao, et al. ∙

∙ 03/03/2017

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

In this paper, we present a parallel numerical algorithm for solving the...

Ying Wei, et al. ∙

∙ 05/07/2018

Cutting Away the Confusion From Crowdtesting

Crowdtesting is effective especially when it comes to the feedback on GU...

Junjie Wang, et al. ∙

∙ 05/07/2018

Effective Automated Decision Support for Managing Crowdtesting

Crowdtesting has grown to be an effective alter-native to traditional te...

Junjie Wang, et al. ∙

∙ 05/08/2018

Crowdtesting : When is The Party Over?

Trade-offs such as "how much testing is enough" are critical yet challen...

Junjie Wang, et al. ∙

∙ 09/04/2018

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

This paper proposes a neural semantic parsing approach -- Sequence-to-Ac...

Bo Chen, et al. ∙

∙ 10/30/2018

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

Pseudo-relevance feedback (PRF) is commonly used to boost the performanc...

Canjia Li, et al. ∙

∙ 01/10/2019

Sentence Rewriting for Semantic Parsing

A major challenge of semantic parsing is the vocabulary mismatch problem...

Bo Chen, et al. ∙

∙ 02/07/2019

Optimizing seed inputs in fuzzing with machine learning

The success of a fuzzing campaign is heavily depending on the quality of...

Liang Cheng, et al. ∙

∙ 02/28/2019

Speeding up Deep Learning with Transient Servers

Distributed training frameworks, like TensorFlow, have been proposed as ...

Shijian Li, et al. ∙

∙ 05/24/2019

A Research and Strategy of Remote Sensing Image Denoising Algorithms

Most raw data download from satellites are useless, resulting in transmi...

Ling Li, et al. ∙

∙ 05/24/2019

A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images

In recent years, with the development of aerospace technology, we use mo...

Junxing Hu, et al. ∙

∙ 06/04/2019

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

In aspect-level sentiment classification (ASC), it is prevalent to equip...

Jialong Tang, et al. ∙

∙ 06/10/2019

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

Sequential labeling-based NER approaches restrict each word belonging to...

Hongyu Lin, et al. ∙

∙ 06/11/2019

Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Existing hand detection methods usually follow the pipeline of multiple ...

Dan Liu, et al. ∙

∙ 06/14/2019

Cost-sensitive Regularization for Label Confusion-aware Event Detection

In supervised event detection, most of the mislabeling occurs between a ...

Hongyu Lin, et al. ∙

∙ 06/16/2019

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...

Qianying Zhang, et al. ∙

∙ 08/18/2019

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

Modern distributed applications are moving toward a microservice archite...

Chengxu Cui, et al. ∙

∙ 09/09/2019

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

Proof-of-stake (PoS) blockchain protocols are emerging as one of the mos...

Xinyu Li, et al. ∙

∙ 12/11/2019

SiamMan: Siamese Motion-aware Network for Visual Tracking

In this paper, we present a novel siamese motion-aware network (SiamMan)...

Wenzhang Zhou, et al. ∙

∙ 01/26/2020

A Variational Staggered Particle Framework for Incompressible Free-Surface Flows

Smoothed particle hydrodynamics (SPH) has been extensively studied in co...

Xiaowei He, et al. ∙

∙ 01/28/2020

PEL-BERT: A Joint Model for Protocol Entity Linking

Pre-trained models such as BERT are widely used in NLP tasks and are fin...

Shoubin Li, et al. ∙

∙ 03/18/2020

Rethinking Object Detection in Retail Stores

The convention standard for object detection uses a bounding box to repr...

Yuanqiang Cai, et al. ∙

∙ 04/06/2020

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

The truncated Tucker decomposition, also known as the truncated higher-o...

Chuanfu Xiao, et al. ∙

∙ 04/14/2020

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...

Hailong Sheng, et al. ∙

∙ 04/25/2020

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...

Hongyu Lin, et al. ∙

∙ 06/30/2020

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

Despite numerous efforts for optimizing the performance of Sparse Matrix...

Min Li, et al. ∙

∙ 07/09/2020

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-...

Jizu Huang, et al. ∙

∙ 10/07/2020

Fuzzing Based on Function Importance by Attributed Call Graph

Fuzzing has become one of the important methods for vulnerability detect...

Wenshuo Wang, et al. ∙

∙ 01/04/2021

Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation

A fundamental ability of humans is to utilize commonsense knowledge in l...

Ning Bian, et al. ∙

∙ 01/04/2021

"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment

Artificial intelligence (AI) technology has been increasingly used in th...

Dakuo Wang, et al. ∙

∙ 07/13/2021

A First Look at Developers' Live Chat on Gitter

Modern communication platforms such as Gitter and Slack play an increasi...

Lin Shi, et al. ∙

∙ 07/19/2021

Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision

Despite recent success in machine reading comprehension (MRC), learning ...

Ning Bian, et al. ∙

∙ 07/27/2021

Yet Another Combination of IR- and Neural-based Comment Generation

Code comment generation techniques aim to generate natural language desc...

Huang Yuchao, et al. ∙

∙ 07/27/2021

PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution

Since the superiority of Transformer in learning long-term dependency, t...

Pan Xie, et al. ∙

∙ 06/15/2021

Leopard: Scaling BFT without Sacrificing Efficiency

With the emergence of large-scale decentralized applications, a scalable...

Kexin Hu, et al. ∙

∙ 08/19/2021

MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation

Conditional masked language models (CMLM) have shown impressive progress...

Pan Xie, et al. ∙