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CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism
Coronavirus Disease 2019 (COVID-19) has caused great casualties and beco...
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Distributed and Asynchronous Operational Optimization of Networked Microgrids
Smart programmable microgrids (SPM) is an emerging technology for making...
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Mutant reduction evaluation: what is there and what is missing?
Background. Many mutation reduction strategies, which aim to reduce the ...
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Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use
In today's fast-paced world, stress has become a growing health concern....
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Neuro-Reachability of Networked Microgrids
A neural ordinary differential equations network (ODE-Net)-enabled reach...
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Residual Matrix Product State for Machine Learning
Tensor network (TN), which originates from quantum physics, shows broad ...
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Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Most Visual Question Answering (VQA) models suffer from the language pri...
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A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes
To handle different types of Many-Objective Optimization Problems (MaOPs...
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COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
Expert finding, a popular service provided by many online websites such ...
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Audio-visual Speech Separation with Adversarially Disentangled Visual Representation
Speech separation aims to separate individual voice from an audio mixtur...
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Approximating the Weighted Minimum Label s-t Cut Problem
In the weighted (minimum) Label s-t Cut problem, we are given a (directe...
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A Pattern Sequence for Designing Blockchain-Based Healthcare Information Technology Systems
Known for its decentralized and tamper-aware properties, blockchain is a...
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Noise Reduction Technique for Raman Spectrum using Deep Learning Network
In a normal indoor environment, Raman spectrum encounters noise often co...
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TRIE: End-to-End Text Reading and Information Extraction for Document Understanding
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes ...
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Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
Regular expression is important for many natural language processing tas...
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Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
Location is key to spatialize internet-of-things (IoT) data. However, it...
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Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach
This article presents an automatic approach to quickly derive a good sol...
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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
Reinforcement learning agents usually learn from scratch, which requires...
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Quantum-Secure Microgrid
Existing microgrid communication relies on classical public key systems,...
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Encoding word order in complex embeddings
Sequential word order is important when processing text. Currently, neur...
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Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis
Dynamic texture (DT) exhibits statistical stationarity in the spatial do...
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Balancing covariates in randomized experiments using the Gram-Schmidt walk
The paper introduces a class of experimental designs that allows experim...
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Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network
Although complex-valued (CV) neural networks have shown better classific...
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CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
Natural Language Understanding (NLU) is a core component of dialog syste...
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MarlRank: Multi-agent Reinforced Learning to Rank
When estimating the relevancy between a query and a document, ranking mo...
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Minimum Label s-t Cut has Large Integrality Gaps
Given a graph G=(V,E) with a label set L = l_1, l_2, ..., l_q, in which ...
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Explainable Video Action Reasoning via Prior Knowledge and State Transitions
Human action analysis and understanding in videos is an important and ch...
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REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
Fine-grained image recognition has been a hot research topic in computer...
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ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis
Interactive sentiment analysis is an emerging, yet challenging, subtask ...
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A Tensorized Transformer for Language Modeling
Latest development of neural models has connected the encoder and decode...
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Using Restart Heuristics to Improve Agent Performance in Angry Birds
Over the past few years the Angry Birds AI competition has been held in ...
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Support Relation Analysis for Objects in Multiple View RGB-D Images
Understanding physical relations between objects, especially their suppo...
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GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Graph Neural Networks (GNNs) have been popularly used for analyzing non-...
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FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
Face Anti-spoofing gains increased attentions recently in both academic ...
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Enhancing the long-term performance of recommender system
Recommender system is a critically important tool in online commercial s...
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Predictability of diffusion-based recommender systems
The recommendation methods based on network diffusion have been shown to...
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Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network
A challenge in speech production research is to predict future tongue mo...
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Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning
Unsupervised clustering has broad applications in data stratification, p...
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A Generalized Language Model in Tensor Space
In the literature, tensors have been effectively used for capturing the ...
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Transformed ℓ_1 Regularization for Learning Sparse Deep Neural Networks
Deep neural networks (DNNs) have achieved extraordinary success in numer...
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Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
It remains a huge challenge to design effective and efficient trackers u...
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Unsupervised Online Video Object Segmentation with Motion Property Understanding
Unsupervised online video object segmentation (VOS) aims to automaticall...
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A Quantum Many-body Wave Function Inspired Language Modeling Approach
The recently proposed quantum language model (QLM) aimed at a principled...
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An Efficient Approach to Learning Chinese Judgment Document Similarity Based on Knowledge Summarization
A previous similar case in common law systems can be used as a reference...
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AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture
CPU-FPGA heterogeneous architectures are attracting ever-increasing atte...
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Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
Fine-grained visual recognition is challenging because it highly relies ...
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FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data
Secure and scalable data sharing is essential for collaborative clinical...
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Incomplete Nested Dissection
We present an asymptotically faster algorithm for solving linear systems...
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Diffusion Based Network Embedding
In network embedding, random walks play a fundamental role in preserving...
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