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262 Result(s)
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Chapter and Conference Paper
Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels
Crowdsourcing is a popular way of collecting crowd wisdom and has been deployed in various senarios. Effective answer collection and answer aggregation are two important crowdsourcing topics as workers may give i...
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Chapter and Conference Paper
A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDN
Nowadays, the best-effort service can not guarantee the quality of service (QoS) for all kinds of services. QoS routing is an important method to guarantee QoS requirements. It involves path selection for flow...
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Chapter and Conference Paper
Difficulty-Controllable Visual Question Generation
Visual Question Generation (VQG) aims to generate questions from images. Existing studies on this topic focus on generating questions solely based on images while neglecting the difficulty of questions. Howeve...
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Chapter and Conference Paper
Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control
Traffic signal control problems are critical in urban intersections. Recently, deep reinforcement learning demonstrates impressive performance in the control of traffic signals. The design of state and reward ...
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Chapter and Conference Paper
Topology Self-optimization for Anti-tracking Network via Nodes Distributed Computing
Anti-tracking network aims to protect the privacy of network users’ identities and communication relationship. The research of P2P-based anti-tracking network has attracted more and more attentions because of ...
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Chapter and Conference Paper
Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network
Semantic sentence matching concerns predicting the relationship between a pair of natural language sentences. Recently, many methods based on interaction structure have been proposed, usually involving encoder...
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Chapter and Conference Paper
Learning Modality-Invariant Features by Cross-Modality Adversarial Network for Visual Question Answering
Visual Question Answering (VQA) is a typical multimodal task with significant development prospect on web application. In order to answer the question based on the corresponding image, a VQA model needs to utiliz...
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Chapter and Conference Paper
Boost Clickbait Detection Based on User Behavior Analysis
Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Th...
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Chapter and Conference Paper
Laser: Load-Adaptive Group Commit in Lock-Free Transaction Logging
Log manager is a key component of DBMS and is considered as the most prominent bottleneck in the modern in-memory OLTP system. In this paper, by addressing two existing performance hurdles in the current proce...
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Chapter and Conference Paper
A MapReduce-Based Distributed SVM for Scalable Data Type Classification
Data type classification is a significant problem in digital forensics and information security field. Methods based on support vector machine have proven the most successful across varying classification appr...
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Chapter and Conference Paper
Precise Data Access on Distributed Log-Structured Merge-Tree
Log-structured merge tree decomposes a large database into multiple parts: an in-writing part and several read-only ones. It achieves high write throughput as well as low read latency. However, read requests h...
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Chapter and Conference Paper
A Learning Approach to Hierarchical Search Result Diversification
The queries in search engine that issued by users are often ambiguous. By returning diverse ranking results we can satisfy different information needs as far as possible. Recently, a hierarchical structure are...
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Chapter and Conference Paper
AndroidProtect: Android Apps Security Analysis System
Android Apps market is the largest in the world. There are some features about Android Apps: massive, diverse, uncertain behaviors and permissions. That makes detecting malicious Apps very difficult. In this p...
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Chapter and Conference Paper
Finding Optimal Team for Multi-skill Task in Spatial Crowdsourcing
These days, Online To Offline (O2O) platforms have been develo** rapidly because of the popularization of smart phones and Mobile Internet. Spatial crowdsourcing, a burgeoning area in O2O market, is gaining ...
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Chapter and Conference Paper
Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking
Predicting the fast-rising young researchers (the Academic Rising Stars) in the future provides useful guidance to the research community, e.g., offering competitive candidates to university for young faculty ...
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Chapter and Conference Paper
A Novel Social Search Model Based on Clustering Friends in LBSNs
With the development of online social networks (OSNs), OSNs have become an indispensable part in people’s life. People tend to search information through OSNs rather than traditional search engines. Especially...
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Chapter and Conference Paper
A Method of Recovering HBase Records from HDFS Based on Checksum File
Data recovery is a key problem in disaster recovery and digital forensics fields. The HDFS (Hadoop Distributed File System) is widely used for storing high-volume, velocity and variety dataset. However, previo...
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Chapter and Conference Paper
New Publicly Verifiable Computation for Batch Matrix Multiplication
With the prevalence of cloud computing, the resource constrained clients are trended to outsource their computation-intensive tasks to the cloud server. Although outsourcing computation paradigm brings many be...
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Chapter and Conference Paper
A Community-Aware Approach to Minimizing Dissemination in Graphs
Given a graph, can we minimize the spread of an entity (such as a meme or a virus) while maintaining the graph’s community structure (defined as groups of nodes with denser intra-connectivity than inter-connec...
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Chapter and Conference Paper
New Word Detection in Ancient Chinese Literature
Mining Ancient Chinese corpus is not as convenient as modern Chinese, because there is no complete dictionary of ancient Chinese words which leads to the bad performance of tokenizers. So finding new words in ...