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2021-12
How to transfer algorithmic reasoning knowledge to learn new algorithms
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Predicting Molecular Conformation via Dynamic Graph Score Matching
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
2021-11
Utilizing graph machine learning within drug discovery and development.
2021-10
LegoDNN: block-grained scaling of deep neural networks for mobile vision
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization.
Pre-training Molecular Graph Representation with 3D Geometry.
Multi-Stage Fusion for Multi-Class 3D Lidar Detection
CD177 modulates the function and homeostasis of tumor-infiltrating regulatory T cells.
2021-09
Multi-task Learning with Domain Knowledge for Molecular Property Prediction
Twist-Angle-Dependent Ultrafast Charge Transfer in MoS2-Graphene van der Waals Heterostructures.
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
Skin-Inspired High-Performance Active-Matrix Circuitry for Multimodal User-Interaction
How the type and valence of feedback information influence volunteers’ knowledge contribution in citizen science projects
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.
2021-08
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices with Heterogeneous Hardware
Enhanced electrokinetic remediation removal heavy metal from sludge assisted by the combined biodegradable iminodisuccinic acid and electrolyte circulation technology
The 4th Artificial Intelligence of Things (AIoT) Workshop
Artificial Intelligence for Drug Discovery
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
Unsupervised Path Representation Learning with Curriculum Negative Sampling
UItra-low friction and edge-pinning effect in large-lattice-mismatch van der Waals heterostructures.
2021-07
Human Pose Transfer with Disentangled Feature Consistency.
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Learning Gradient Fields for Molecular Conformation Generation
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
A Reliable All-2D Materials Artificial Synapse for High Energy-Efficient Neuromorphic Computing
Artificial Synapses: A Reliable All-2D Materials Artificial Synapse for High Energy-Efficient Neuromorphic Computing (Adv. Funct. Mater. 27/2021)
2021-06
Exchange bias and spin–orbit torque in the Fe3GeTe2-based heterostructures prepared by vacuum exfoliation approach
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads
Physicochemical properties and heavy metal pollution characteristics and correlation analysis of sludge landfill
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.
Inside Back Cover: Wafer-Scale Oxygen-Doped MoS2 Monolayer (Small Methods 6/2021)
Wafer-Scale Oxygen-Doped MoS2 Monolayer
Optically and magnetically addressable valley pseudospin of interlayer excitons in bilayer MoS2
Preparation and characterization of NiO/HY catalyst
2021-05
Examining the Effects of Feedback-giving as a Gamification Mechanic in Crowd Rating Systems
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach
Iterative Graph Self-Distillation
Adversarial Meta-Learning
GraphSAD: Learning Graph Representations with Structure-Attribute Disentanglement
Self-supervised Graph-level Representation Learning with Local and Global Structure
ICML 2021
(2021-05-04)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2106.04113 (2021-06-08)]Emergence of Chern insulating states in non-Magic angle twisted bilayer graphene
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning
2021-04
Phonons and Quantum Criticality Revealed by Temperature Linear Resistivity in Twisted Double Bilayer Graphene
SYSTEMS AND METHODS FOR INSTANCE SEGMENTATION BASED ON SEMANTIC SEGMENTATION
METHOD AND SYSTEM FOR CONTINUAL META-LEARNING
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM
SYSTEMS AND METHODS FOR ANALYZING HUMAN DRIVING BEHAVIOR
2021-03
A Meta-Review of Gamification Research
16th International Conference on Diversity, Divergence, Dialogue, iConference 2021
(2021-03-17)
experts.syr.eduKEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Coupled with EDDS and approaching anode technique enhanced electrokinetic remediation removal heavy metal from sludge.
2021-02
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.
Influence of moisture content on chicken manure stabilization during microbial agent-enhanced composting.
2021-01
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
An Integrated Cloud-Edge-Device Adaptive Deep Learning Service for Cross-Platform Web
How Feedback Focus and Regulatory Focus Influence Customers' Co-design Behavior in Online Customization Communities.
Bridging the Gap between Semantic Segmentation and Instance Segmentation
Adaptive Multi-Layer Selective Ensemble Least Square Support Vector Machines with Applications
Examining the Effect of Interaction Content and Interaction Style on Volunteers' Research Competence in Citizen Science Projects.
2020-12
Spin-layer locking induced second-order nonlinear effect in centrosymmetric crystals
Non-autoregressive electron flow generation for reaction prediction.
ReCARL: Resource Allocation in Cloud RANs with Deep Reinforcement Learning
CFM: A Consistency Filtering Mechanism for Road Damage Detection
Utilising Graph Machine Learning within Drug Discovery and Development
Towards Generalized Implementation of Wasserstein Distance in GANs
Sobolev Wasserstein GAN.
Vertical Integration of 2D Building Blocks for All-2D Electronics
2D Transistors: Vertical Integration of 2D Building Blocks for All‐2D Electronics (Adv. Electron. Mater. 12/2020)
2020-11
Twist-angle-dependent photoresponse in MoS2-graphene van der Waals heterostructures probed by ultrafast electron diffraction
The 22nd International Conference on Ultrafast Phenomena 2020 (2020), paper Tu1A.3
(2020-11-16)
www.osapublishing.orgRobust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Fast Object Detection with Latticed Multi-Scale Feature Fusion.
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search.
2020-10
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition
Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
Robust resource provisioning in time-varying edge networks
Affordances for information practices: theorizing engagement among people, technology, and sociocultural environments
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning
2020-09
Memory Augmented Deep Recurrent Neural Network for Video Question Answering
2020-08
Robustesse structurelle des architectures d'apprentissage profond
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Differentiable Feature Aggregation Search for Knowledge Distillation
2020-07
Indoor large-scale water curtain assembly type dry hanging installation structure
GRADE: Graph Dynamic Embedding.
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Continuous Graph Neural Networks
A Graph to Graphs Framework for Retrosynthesis Prediction
Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
The impact of atmospheric cues on consumers’ approach and avoidance behavioral intentions in social commerce websites
2020-06
Graph Policy Network for Transferable Active Learning on Graphs
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning
Effects of feedback design and dispositional goal orientations on volunteer performance in citizen science projects
Graph Policy Network for Transferable Active Learning on Graphs
2020-05
Deep Geometric Knowledge Distillation with Graphs
ICASSP 2020
(2020-05-04)
hal.archives-ouvertes.frPDF[Also on arXiv preprint arXiv:1911.03080 (2019-11-08)]2020-04
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
Domain Conditioned Adaptation Network.
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
2020-03
2020-02
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. (arXiv:2001.07710v2 [cs.CV] UPDATED)
arXiv Computer Science
(2020-02-25)
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. (arXiv:2001.08357v2 [cs.LG] UPDATED)
arXiv Computer Science
(2020-02-25)
Tradeoff Between Location Quality and Privacy in Crowdsensing: An Optimization Perspective
2020-01
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Using Gamification to Support Users’ Adoption of Contextual Achievement Goals
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
2019-12
Probabilistic Logic Neural Networks for Reasoning
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Optimizing Location Quality in Privacy Preserving Crowdsensing
P4PCN: Privacy-Preserving Path Probing for Payment Channel Networks
2019-11
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Social-Aware Sequential Modeling of User Interests: A Deep Learning Approach
Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus
2019-10
Enabling Data Trustworthiness and User Privacy in Mobile Crowdsensing
Fabricated dry-hang mounting structure for indoor large-scale water curtains
How "Task-Individual Fit" Influences User Contribution Behaviors in Citizen Science
Proceedings of the 4th International Conference on Crowd Science and Engineering
(2019-10-18)
dl.acm.org2019-09
Empowering Graph Representation Learning with Paired Training and Graph Co-Attention
Transfer Active Learning For Graph Neural Networks
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
2019-08
An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
(2019-08-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1908.04032 (2019-08-12)]HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
(2019-08-01)
experts.syr.eduMulti-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
2019-07
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
A Sybil-Resistant Truth Discovery Framework for Mobile Crowdsensing
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
2019-06
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Learning Powerful Policies by Using Consistent Dynamics Model.
Examining the influential factors for continued social media use: A comparison of social networking and microblogging
Attending Over Triads for Learning Signed Network Embedding.
Structural Robustness for Deep Learning Architectures
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Structural Robustness for Deep Learning Architectures
2019-05
GMNN: Graph Markov Neural Networks
Privacy-Preserving and Trustworthy Mobile Sensing with Fair Incentives
A Deep Recurrent Neural Network Based Predictive Control Framework for Reliable Distributed Stream Data Processing
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Exploring the relationships between gamification and motivational needs in technology design
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
2019-03
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
Exploring the impact of game framing and task framing on user participation in citizen science projects
Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
AMIA 2019
(2019-03-01)
ui.adsabs.harvard.eduPDF[LATEST on arXiv preprint arXiv:1903.08652 (2019-03-20)]2019-02
Learning the Dynamic Treatment Regimes from Medical Registry Data through Deep Q-network.
2019-01
Designing feedback information to encourage users' participation performances in citizen science projects
Investigating the Influence of Task Complexity and Outcome Variety on User Performance in Crowdsourcing Projects
Examining the Effects of Feedback Type and Goal Orientation on User Participation Performance in Citizen Science Projects.
Examining the influential factors for continued social media use.
2018-10
CoinExpress: A Fast Payment Routing Mechanism in Blockchain-Based Payment Channel Networks
SpecWatch: A framework for adversarial spectrum monitoring with unknown statistics
2018-09
Progressive Weight Pruning Of Deep Neural Networks Using ADMM
Learning powerful policies and better dynamics models by encouraging consistency
Data Poisoning Attack against Unsupervised Node Embedding Methods
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers
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