Ce Zhang

According to our database1, Ce Zhang authored at least 105 papers between 2008 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning.
PVLDB, 2019

Full year crop monitoring and separability assessment with fully-polarimetric L-band UAVSAR: A case study in the Sacramento Valley, California.
Int. J. Applied Earth Observation and Geoinformation, 2019

Power Allocation Schemes Based on Machine Learning for Distributed Antenna Systems.
IEEE Access, 2019

Topology Variable Routing Algorithm for WWSN in Disaster Rescue.
Proceedings of the 28th Wireless and Optical Communications Conference, 2019

vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases.
Proceedings of the 2019 International Conference on Management of Data, 2019

Is advance knowledge of flow sizes a plausible assumption?
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

Entity Recognition at First Sight: Improving NER with Eye Movement Information.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Distributed Learning over Unreliable Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

DL2: Training and Querying Neural Networks with Logic.
Proceedings of the 36th International Conference on Machine Learning, 2019

MLlib*: Fast Training of GLMs Using Spark MLlib.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

GEM^2-Tree: A Gas-Efficient Structure for Authenticated Range Queries in Blockchain.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

ImageProof: Enabling Authentication for Large-Scale Image Retrieval.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Towards Efficient Data Valuation Based on the Shapley Value.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
VPRS-Based Regional Decision Fusion of CNN and MRF Classifications for Very Fine Resolution Remotely Sensed Images.
IEEE Trans. Geoscience and Remote Sensing, 2018

A Practical Data-Gathering Algorithm for Lossy Wireless Sensor Networks Employing Distributed Data Storage and Compressive Sensing.
Sensors, 2018

Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks.
Sensors, 2018

Software reliability prediction using a deep learning model based on the RNN encoder-decoder.
Rel. Eng. & Sys. Safety, 2018

MLBench: Benchmarking Machine Learning Services Against Human Experts.
PVLDB, 2018

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads.
PVLDB, 2018

Ease.ml in Action: Towards Multi-tenant Declarative Learning Services.
PVLDB, 2018

ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation.
PVLDB, 2018

Exponential Stability of Neutral-Type Impulsive Markovian Jump Neural Networks with General Incomplete Transition Rates.
Neural Processing Letters, 2018

A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes.
IEEE Geosci. Remote Sensing Lett., 2018

Evaluation Models for the Nearest Closer Routing Protocol in Wireless Sensor Networks.
IEEE Access, 2018

DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions.
Proceedings of the 2018 International Conference on Management of Data, 2018

ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Communication Compression for Decentralized Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Matching of Offers and Requests in Social-Aware Ridesharing.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

D2: Decentralized Training over Decentralized Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Decentralized Parallel Stochastic Gradient Descent.
Proceedings of the 35th International Conference on Machine Learning, 2018

Power Allocation Schemes for Distributed Antenna Systems (DAS) with Device-to-Device (D2D) Communication.
Proceedings of the Fuzzy Systems and Data Mining IV, 2018

Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.
Proceedings of the 21th International Conference on Extending Database Technology, 2018

Network Scheduling in the Dark.
Proceedings of the ACM Symposium on Cloud Computing, 2018

Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017
Incremental knowledge base construction using DeepDive.
VLDB J., 2017

An Experimental Evaluation of SimRank-based Similarity Search Algorithms.
PVLDB, 2017

LDA*: A Robust and Large-scale Topic Modeling System.
PVLDB, 2017

MLog: Towards Declarative In-Database Machine Learning.
PVLDB, 2017

Dynamic clustering and compressive data gathering algorithm for energy-efficient wireless sensor networks.
IJDSN, 2017

DeepDive: declarative knowledge base construction.
Commun. ACM, 2017

Direction Finding in MIMO Radar With Unknown Mutual Coupling.
IEEE Access, 2017

An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision.
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

Heterogeneity-aware Distributed Parameter Servers.
Proceedings of the 2017 ACM International Conference on Management of Data, 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

Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 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

TencentBoost: A Gradient Boosting Tree System with Parameter Server.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms.
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

Research on Unified Architecture of IoT System.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

A General Architecture of IoT System.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

How good are machine learning clouds for binary classification with good features?: extended abstract.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features.
Proceedings of the AMIA 2017, 2017

2016
DeepDive: Declarative Knowledge Base Construction.
SIGMOD Record, 2016

Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets.
Remote Sensing, 2016

Novel shape indices for vector landscape pattern analysis.
International Journal of Geographical Information Science, 2016

Large-scale extraction of gene interactions from full-text literature using DeepDive.
Bioinformatics, 2016

Extracting Databases from Dark Data with DeepDive.
Proceedings of the 2016 International Conference on Management of Data, 2016

Android malware development on public malware scanning platforms: A large-scale data-driven study.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Asynchrony begets momentum, with an application to deep learning.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Optimal Array Beamforming for Microwave Power Transmission in Complex Environment.
Proceedings of the Wireless Power Transfer Algorithms, 2016

2015
Incremental Knowledge Base Construction Using DeepDive.
PVLDB, 2015

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning.
Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015

Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
DimmWitted: A Study of Main-Memory Statistical Analytics.
PVLDB, 2014

A Unified and Flexible Framework of Imperfect Debugging Dependent SRGMs with Testing-Effort.
Journal of Multimedia, 2014

Feature Engineering for Knowledge Base Construction.
IEEE Data Eng. Bull., 2014

Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted.
Proceedings of the 2nd International Workshop on In Memory Data Management and Analytics, 2014

Materialization optimizations for feature selection workloads.
Proceedings of the International Conference on Management of Data, 2014

Does Web News Media have Opinions? Evidence from Real Estate Market Prediction.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

Parallel Feature Selection Inspired by Group Testing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Variational Bayes based I-vector for speaker diarization of telephone conversations.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Bootstrapping Knowledge Base Acceleration.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Towards high-throughput gibbs sampling at scale: a study across storage managers.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

GeoDeepDive: statistical inference using familiar data-processing languages.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

An Approximate, Efficient LP Solver for LP Rounding.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Markov logic framework for recognizing complex events from multimodal data.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Asynchronous stochastic gradient descent for DNN training.
Proceedings of the IEEE International Conference on Acoustics, 2013

Brainwash: A Data System for Feature Engineering.
Proceedings of the CIDR 2013, 2013

Understanding Tables in Context Using Standard NLP Toolkits.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Elementary: Large-Scale Knowledge-Base Construction via Machine Learning and Statistical Inference.
Int. J. Semantic Web Inf. Syst., 2012

DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference.
Proceedings of the Second International Workshop on Searching and Integrating New Web Data Sources, 2012

Building an Entity-Centric Stream Filtering Test Collection for TREC 2012.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

Study of Trustworthiness Measurement and Kernel Modules Accessing Address Space of Any Process.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

Scaling Inference for Markov Logic via Dual Decomposition.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Discriminative training of weighted polynomial vector for acoustic language recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Big Data versus the Crowd: Looking for Relationships in All the Right Places.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Data-Driven UBM Generation via Tied Gaussians for GMM-Supervector Based Accent Identification.
Proceedings of the INTERSPEECH 2011, 2011

Data-Driven Gaussian Component Selection for Fast GMM-Based Speaker Verification.
Proceedings of the INTERSPEECH 2011, 2011

Restoring the Residual Speaker Information in Total Variability Modeling for Speaker Verification.
Proceedings of the INTERSPEECH 2011, 2011

Exploring implicit score normalization techniques in speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2011

Modeling User Expertise in Folksonomies by Fusing Multi-type Features.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
Multiple feature fusion for social media applications.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Content-enriched classifier for web video classification.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

An investigation into direct scoring methods without SVM training in speaker verification.
Proceedings of the INTERSPEECH 2010, 2010

A configurable IP core for inverse quantized discrete cosine and integer transforms with arbitrary accuracy.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010

2009
A Revisit of Query Expansion with Different Semantic Levels.
Proceedings of the Database Systems for Advanced Applications, 2009

Video Annotation System Based on Categorizing and Keyword Labelling.
Proceedings of the Database Systems for Advanced Applications, 2009

The use of categorization information in language models for question retrieval.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Semantic similarity based on compact concept ontology.
Proceedings of the 17th International Conference on World Wide Web, 2008

A smart method for tracking of moving objects on production line.
Proceedings of the 7th International Conference on Virtual Reality Continuum and its Applications in Industry, 2008


  Loading...