Ji Liu

According to our database1, Ji Liu
  • authored at least 57 papers between 2005 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Adaptive Greedy Dictionary Selection for Web Media Summarization.
IEEE Trans. Image Processing, 2017

Accelerating Stochastic Composition Optimization.
Journal of Machine Learning Research, 2017

Location detection and disambiguation from twitter messages.
J. Intell. Inf. Syst., 2017

Prognostics of surgical site infections using dynamic health data.
Journal of Biomedical Informatics, 2017

CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements.
Journal of Biomedical Informatics, 2017

Gradient Sparsification for Communication-Efficient Distributed Optimization.
CoRR, 2017

Duality-free Methods for Stochastic Composition Optimization.
CoRR, 2017

Asynchronous Decentralized Parallel Stochastic Gradient Descent.
CoRR, 2017

Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application.
CoRR, 2017

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads.
CoRR, 2017

Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem.
CoRR, 2017

Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data.
CoRR, 2017

On The Projection Operator to A Three-view Cardinality Constrained Set.
CoRR, 2017

Lifelong Metric Learning.
CoRR, 2017

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
CoRR, 2017

A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data.
BMC Bioinformatics, 2017

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

On The Projection Operator to A Three-view Cardinality Constrained Set.
Proceedings of the 34th International Conference on Machine Learning, 2017

Sparse Softmax Vector Coding Based Deep Cascade Model.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

A Real-Time Scheduling Strategy Based on Processing Framework of Hadoop.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Finite-sum Composition Optimization via Variance Reduced Gradient Descent.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
A Cascaded Linear High-Voltage Amplifier Circuit for Dielectric Measurement.
IEEE Trans. Industrial Electronics, 2016

The Teaching Dimension of Linear Learners.
Journal of Machine Learning Research, 2016

GaDei: On Scale-up Training As A Service For Deep Learning.
CoRR, 2016

Infinite-Label Learning with Semantic Output Codes.
CoRR, 2016

Prognostics of Surgical Site Infections using Dynamic Health Data.
CoRR, 2016

Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution.
CoRR, 2016

A stochastic compositional gradient method using Markov samples.
Proceedings of the Winter Simulation Conference, WSC 2016, 2016

Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Asynchronous Parallel Greedy Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Accelerating Stochastic Composition Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A new database for online handwritten Mongolian word recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

The Teaching Dimension of Linear Learners.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Handwritten Mongolian Word Recognition Using MWRCNN and Position Maps.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Efficient estimation of compressible state-space models with application to calcium signal deconvolution.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Time delay compensation for positive nonlinear networked control systems with bounded controls.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Optimal Discrete Matrix Completion.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A dynamic root simulation model in response to soil moisture heterogeneity.
Mathematics and Computers in Simulation, 2015

The Teaching Dimension of Linear Learners.
CoRR, 2015

Estimating User Location in Social Media with Stacked Denoising Auto-encoders.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

A parametric modeling approach for wireless capsule endoscopy hazy image restoration.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Detecting and Disambiguating Locations Mentioned in Twitter Messages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Low-Rank Online Metric Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
Spatial pattern formation in the Keller-Segel model with a logistic source.
Computers & Mathematics with Applications, 2013

2012
Modeling and Performance Evaluation of BPEL Processes: A Stochastic-Petri-Net-Based Approach.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2012

2010
Grouping-Shuffling Particle Swarm Optimization: An Improved PSO for Continuous Optimization.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

A fuzzy multi-objective decision-making model based on vague set and entropy method and its application.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A Structure-Based XML Storage Method in YAFFS File System.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Detecting community structure in networks by representative energy.
Frontiers of Computer Science in China, 2009

2008
Visualization of Virtual plant Based on 3D Model converter.
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 2, 2008

Optimal Model of Reservoir Flood Operation Considering Objective and Subjective Weight and Its Application.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Research on the Status Quo and System Architecture of the Web Information Resource Evaluation.
Proceedings of the Integration and Innovation Orient to E-Society, 2007

2005
An Adaptive Hybrid Immune Genetic Algorithm for Maximum Cut Problem.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Service oriented software package bank.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005


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