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08/19/2023
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
Internet of Things (IoT) technologies have enabled numerous data-driven ...
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08/07/2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Despite the tremendous advances achieved over the past years by deep lea...
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07/08/2023
Is ChatGPT a Good Personality Recognizer? A Preliminary Study
In recent years, personality has been regarded as a valuable personal fa...
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05/29/2023
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models
Large language models (LLMs) have scaled up to unlock a wide range of co...
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05/23/2023
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing
Careful placement of a computational application within a target device ...
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05/15/2023
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation
Semantic segmentation has recently witnessed great progress. Despite the...
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08/08/2022
CSSAM:Code Search via Attention Matching of Code Semantics and Structures
Despite the continuous efforts in improving both the effectiveness and e...
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07/20/2021
Discriminator-Free Generative Adversarial Attack
The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...
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01/22/2021
Network Clustering for Multi-task Learning
The Multi-Task Learning (MTL) technique has been widely studied by word-...
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07/22/2020
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
Knowledge graph embedding, which aims to learn the low-dimensional repre...
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05/20/2020
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
In this paper, we address the text and image matching in cross-modal ret...
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05/14/2020
Deep Hierarchical Classification for Category Prediction in E-commerce System
In e-commerce system, category prediction is to automatically predict ca...
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05/09/2020
Vehicle Re-Identification Based on Complementary Features
In this work, we present our solution to the vehicle re-identification (...
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04/01/2020
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Network embedding aims to learn low-dimensional representations of nodes...
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03/13/2020
Application of Deep Q-Network in Portfolio Management
Machine Learning algorithms and Neural Networks are widely applied to ma...
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09/29/2019
Optimal Delivery with Budget Constraint in E-Commerce Advertising
Online advertising in E-commerce platforms provides sellers an opportuni...
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10/12/2018
Important Attribute Identification in Knowledge Graph
The knowledge graph(KG) composed of entities with their descriptions and...
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07/05/2018
Learning Theory and Algorithms for Revenue Management in Sponsored Search
Online advertisement is the main source of revenue for Internet business...
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05/26/2017