Yin Yang

Orcid: 0000-0002-0549-3882

Affiliations:
  • Hamad bin Khalifa University, College of Science, Engineering and Technology, Doha, Qatar
  • University of Illinois at Urbana-Champaign, USA (former)
  • Hong Kong University of Science and Technology (former)


According to our database1, Yin Yang authored at least 113 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Efficient multi-objective neural architecture search framework via policy gradient algorithm.
Inf. Sci., 2024

PublicVision: A Secure Smart Surveillance System for Crowd Behavior Recognition.
IEEE Access, 2024

2023
Suboptimal Leader-to-Coordination Control for Nonlinear Systems With Switching Topologies: A Learning-Based Method.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks.
Proc. ACM Manag. Data, December, 2023

PANE: scalable and effective attributed network embedding.
VLDB J., November, 2023

Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment.
Comput. Electron. Agric., October, 2023

A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Suboptimal Safety-Critical Control for Continuous Systems Using Prediction-Correction Online Optimization.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Extreme Early Image Recognition Using Event-Based Vision.
Sensors, July, 2023

Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Neural Architecture Search for Portrait Parsing.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

MTLP-JR: Multi-task learning-based prediction for joint ranking in neural architecture search.
Comput. Electr. Eng., January, 2023

Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning.
CoRR, 2023

Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
Constrained Event-Triggered H<sub>∞</sub> Control Based on Adaptive Dynamic Programming With Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Neural Architecture Search With a Lightweight Transformer for Text-to-Image Synthesis.
IEEE Trans. Netw. Sci. Eng., 2022

Memristor-Based Edge Computing of Blaze Block for Image Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022

An Efficient Memristor-Based Circuit Implementation of Squeeze-and-Excitation Fully Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server.
SIGMOD Rec., 2022

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.
Proc. VLDB Endow., 2022

YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Memristive LSTM Network for Sentiment Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Multilabel Image Classification via Feature/Label Co-Projection.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Robust Exponential Synchronization for Memristor Neural Networks With Nonidentical Characteristics by Pinning Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Auto-FERNet: A Facial Expression Recognition Network With Architecture Search.
IEEE Trans. Netw. Sci. Eng., 2021

End-to-End Detection-Segmentation System for Face Labeling.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Policy Iteration Q-Learning for Data-Based Two-Player Zero-Sum Game of Linear Discrete-Time Systems.
IEEE Trans. Cybern., 2021

CKFO: Convolution Kernel First Operated Algorithm With Applications in Memristor-Based Convolutional Neural Network.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT.
Trans. Assoc. Comput. Linguistics, 2021

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy.
Proc. VLDB Endow., 2021

Highly parallelized memristive binary neural network.
Neural Networks, 2021

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars.
CoRR, 2021

InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification.
Comput. Graph., 2021

Internally Positive Representation to Stability of Delayed Timescale-Type Differential- Difference Equation.
IEEE Access, 2021

Effective and Scalable Clustering on Massive Attributed Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Stealthier False Data Injection Attack against the Power Grid.
Proceedings of the IEEE International Conference on Communications, 2021

2020
Balancing Value Iteration and Policy Iteration for Discrete-Time Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Memristor-Based Design of Sparse Compact Convolutional Neural Network.
IEEE Trans. Netw. Sci. Eng., 2020

Event-Triggered Optimal Control With Performance Guarantees Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2020

Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
Proc. VLDB Endow., 2020

Scaling Attributed Network Embedding to Massive Graphs.
Proc. VLDB Endow., 2020

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs.
Proc. VLDB Endow., 2020

HIGnet: Hierarchical and Interactive Gate Networks for Item Recommendation.
IEEE Intell. Syst., 2020

LinSBFT: Linear-Communication One-Step BFT Protocol for Public Blockchains.
CoRR, 2020

InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes.
Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

Early Image Detection Using Event Based Vision.
Proceedings of the IEEE International Conference on Informatics, 2020

DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Are They Likely to Complain on Phish or Spam? A Prediction Model.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019
Memristor-Based Echo State Network With Online Least Mean Square.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
ACM Trans. Database Syst., 2019

Generating Realistic Videos From Keyframes With Concatenated GANs.
IEEE Trans. Circuits Syst. Video Technol., 2019

Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Realtime Top-k Personalized PageRank over Large Graphs on GPUs.
Proc. VLDB Endow., 2019

Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.
CoRR, 2019

Multi-Label Image Classification by Feature Attention Network.
IEEE Access, 2019

Collecting and Analyzing Multidimensional Data with Local Differential Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay.
IEEE Trans. Cybern., 2018

PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
DRS: Auto-Scaling for Real-Time Stream Analytics.
IEEE/ACM Trans. Netw., 2017

FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Generating Synthetic Decentralized Social Graphs with Local Differential Privacy.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016
HubPPR: Effective Indexing for Approximate Personalized PageRank.
Proc. VLDB Endow., 2016

Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks.
Proc. VLDB Endow., 2016

Optimal Linear Aggregate Query Processing under Approximate Differential Privacy.
CoRR, 2016

Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy.
CoRR, 2016

Auction-based cloud service differentiation with service level objectives.
Comput. Networks, 2016

Elastic Pipelining in an In-Memory Database Cluster.
Proceedings of the 2016 International Conference on Management of Data, 2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
ACM Trans. Database Syst., 2015

Optimal Operator State Migration for Elastic Data Stream Processing.
CoRR, 2015

Deterministic identification of specific individuals from GWAS results.
Bioinform., 2015

LiveTraj: Real-Time Trajectory Tracking over Live Video Streams.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

DRS: Dynamic Resource Scheduling for Real-Time Analytics over Fast Streams.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data.
Proc. VLDB Endow., 2014

OceanRT: real-time analytics over large temporal data.
Proceedings of the International Conference on Management of Data, 2014

2013
Differentially private histogram publication.
VLDB J., 2013

Skyline Processing on Distributed Vertical Decompositions.
IEEE Trans. Knowl. Data Eng., 2013

PrivGene: differentially private model fitting using genetic algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Resa: realtime elastic streaming analytics in the cloud.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

C-Cube: Elastic continuous clustering in the cloud.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Query optimization for differentially private data management systems.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

ABACUS: An Auction-Based Approach to Cloud Service Differentiation.
Proceedings of the 2013 IEEE International Conference on Cloud Engineering, 2013

2012
Functional Mechanism: Regression Analysis under Differential Privacy.
Proc. VLDB Endow., 2012

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.
Proc. VLDB Endow., 2012

Differential privacy in data publication and analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

DP-tree: indexing multi-dimensional data under differential privacy (abstract only).
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Demonstration of Damson: Differential Privacy for Analysis of Large Data.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Differentially Private Histogram Publication.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Authenticated Multistep Nearest Neighbor Search.
IEEE Trans. Knowl. Data Eng., 2011

Compressive mechanism: utilizing sparse representation in differential privacy.
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society, 2011

Algorithms for local sensor synchronization.
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
Continuous authentication on relational streams.
VLDB J., 2010

2009
Authenticated indexing for outsourced spatial databases.
VLDB J., 2009

Keyword search over relational tables and streams.
ACM Trans. Database Syst., 2009

Query by document.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

Continuous Spatial Authentication.
Proceedings of the Advances in Spatial and Temporal Databases, 2009

Kernel-based skyline cardinality estimation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Authenticated join processing in outsourced databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Reachability Indexes for Relational Keyword Search.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Continuous k-Means Monitoring over Moving Objects.
IEEE Trans. Knowl. Data Eng., 2008

Spatial Outsourcing for Location-based Services.
Proceedings of the 24th International Conference on Data Engineering, 2008

Just-In-Time Processing of Continuous Queries.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
HybMig: A Hybrid Approach to Dynamic Plan Migration for Continuous Queries.
IEEE Trans. Knowl. Data Eng., 2007

CADS: Continuous Authentication on Data Streams.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Keyword search on relational data streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2006
Dynamic Plan Migration for Snapshot-Equivalent Continuous Queries in Data Stream Systems.
Proceedings of the Current Trends in Database Technology - EDBT 2006, 2006


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