676 Result(s)
within
He **an
Algorithm Analysis and Problem Complexity
Artificial Intelligence
-
Chapter and Conference Paper
Temporal Difference Enhancement Network for Driving Behavior Recognition
Accurately recognizing bad driving behaviors, such as fatigue, using mobile phone, eye deviation and smoking, can greatly avoid the occurrence of traffic accidents. Existing techniques would be heavily affecte...
-
Chapter and Conference Paper
Backdoor Attack Against One-Class Sequential Anomaly Detection Models
Deep anomaly detection on sequential data has garnered significant attention due to the wide application scenarios. However, deep learning-based models face a critical security threat - their vulnerability to ...
-
Chapter and Conference Paper
Leveraging Transfer Learning for Enhancing Graph Optimization Problem Solving
Reinforcement learning to solve graph optimization problems has attracted increasing attention recently. Typically, these models require extensive training over numerous graph instances to develop generalizabl...
-
Chapter and Conference Paper
MDAN: Multi-distribution Adaptive Networks for LTV Prediction
In industry, Customer Lifetime Value (LTV) represents the entire revenue generated from a single user within an application. Accurate LTV prediction can help marketers make more informed decisions about acquir...
-
Article
Open AccessLearning with Small Data: Subgraph Counting Queries
Deep Learning (DL) has been widely used in many applications, and its success is achieved with large training data. A key issue is how to provide a DL solution when there is no large training data to learn ini...
-
Article
Open AccessMemory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs
Temporal heterogeneous graphs can model lots of complex systems in the real world, such as social networks and e-commerce applications, which are naturally time-varying and heterogeneous. As most existing grap...
-
Chapter and Conference Paper
Online Volume Optimization for Notifications via Long Short-Term Value Modeling
App push notifications are an essential tool for app developers to engage with their users actively and provide them with timely and relevant information about the app. However, determining the proper volume o...
-
Chapter and Conference Paper
Dynamic Compact Planar Embeddings
This paper presents a way to compactly represent dynamic connected planar embeddings, which may contain self loops and multi-edges, in \(4m + o(m)\) ...
-
Chapter and Conference Paper
Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification
Few-shot relation classification (RC) aims to determine the labeled relation between two entities in a given sentence using only a few training instances. Previous studies integrate models with explicit triple...
-
Chapter and Conference Paper
Preference-Based Nonlinear Normalization for Multiobjective Optimization
Normalization is commonly used in multiobjective evolutionary algorithms (MOEAs) in order to handle multiobjective optimization problems with differently-scaled objectives. The goal of normalization is to obta...
-
Chapter and Conference Paper
An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets
Various surrogate-based multiobjective evolutionary algori-thms (MOEAs) have been proposed to solve expensive multiobjective optimization problems (MOPs). However, these algorithms are usually examined on test...
-
Article
Open AccessJoint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation
Nowadays recording and sharing personal lives using mobile devices on the Internet is becoming increasingly popular, and successive POI recommendation is gaining growing attention from academia and industry. I...
-
Article
Open AccessEfficient Skyline Computation on Massive Incomplete Data
Incomplete skyline query is an important operation to filter out pareto-optimal tuples on incomplete data. It is harder than skyline due to intransitivity and cyclic dominance. It is analyzed that the existing...
-
Chapter and Conference Paper
Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms
With the increasing information load brought by the accelerated growth of research papers, the automatic discovery of a field’s emerging scientific topics becomes vital. It enables broad applications, such as ...
-
Chapter and Conference Paper
Internal Masked Prefix Sums and Its Connection to Fully Internal Measurement Queries
We define a generalization of the prefix sum problem in which the vector can be masked by segments of a second (Boolean) vector. This problem is shown to be related to several other prefix sum, set intersectio...
-
Chapter and Conference Paper
Building Knowledge Base for the Domain of Economic Mobility of Older Workers
This paper presents the work of building a knowledge base for the domain of economic mobility for older workers. To extract high-quality entities and relations that are important to the specific domain, domain...
-
Chapter and Conference Paper
Dual-State Knowledge Tracing Model with Mutual Information Maximization
Knowledge tracing aims to trace students’ knowledge states and predict their future performance based on their historical learning processes. Most existing methods of characterizing a student’s state are not e...
-
Article
Open AccessAchieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks
Microtask crowdsourcing is a form of crowdsourcing in which work is decomposed into a set of small, self-contained tasks, which each can typically be completed in a matter of minutes. Due to the various capabi...
-
Article
Open AccessParrot: A Progressive Analysis System on Large Text Collections
The size of textual data continues to grow along with the need for timely and cost-effective analysis, while the growth of computation power cannot keep up with the growth of data. The delays when processing h...
-
Chapter and Conference Paper
Reactive Scheduling by Intelligent DSS
Agile manufacturing is in practice by many companies. In agile manufacturing environments, it is important for companies to make quick response to the changes in the environments. This paper proposes an intell...
