Ce Zhang

Q: What Schools Are Affiliated With Ce Zhang

Ce Zhang is affiliated with the following schools: Lancaster University, Tsinghua University, Stanford University, University of Southampton

Ce Zhang's AcademicInfluence.com Rankings

Ce Zhang

Computer Science

#8577

World Rank

#9016

Historical Rank

Information Technology

#60

World Rank

#61

Historical Rank

Database

#5575

World Rank

#5784

Historical Rank

computer-science Degrees

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Computer Science

Ce Zhang's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Tsinghua University

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Ce Zhang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent (2017) (773)
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features (2016) (653)
Asynchronous Decentralized Parallel Stochastic Gradient Descent (2017) (337)
Incremental Knowledge Base Construction Using DeepDive (2015) (284)
An object-based convolutional neural network (OCNN) for urban land use classification (2018) (274)
A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification (2017) (263)
Joint Deep Learning for land cover and land use classification (2019) (254)
D2: Decentralized Training over Decentralized Data (2018) (221)
Towards Efficient Data Valuation Based on the Shapley Value (2019) (208)
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference (2012) (207)
Communication Compression for Decentralized Training (2018) (198)
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms (2015) (186)
Heterogeneity-aware Distributed Parameter Servers (2017) (179)
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning (2017) (160)
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit (2017) (150)
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting (2020) (147)
Materialization Optimizations for Feature Selection Workloads (2014) (145)
Asynchrony begets momentum, with an application to deep learning (2016) (132)
DimmWitted: A Study of Main-Memory Statistical Analytics (2014) (131)
DeepDive: Declarative Knowledge Base Construction (2016) (130)
Asynchronous stochastic gradient descent for DNN training (2013) (122)
Brainwash: A Data System for Feature Engineering (2013) (117)
The use of categorization information in language models for question retrieval (2009) (110)
Elementary: Large-Scale Knowledge-Base Construction via Machine Learning and Statistical Inference (2012) (102)
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms (2019) (98)
DL2: Training and Querying Neural Networks with Logic (2019) (94)
A Machine Reading System for Assembling Synthetic Paleontological Databases (2014) (93)
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012 (2012) (89)
Large-scale extraction of gene interactions from full-text literature using DeepDive (2015) (87)
RAB: Provable Robustness Against Backdoor Attacks (2020) (87)
A Principled Approach to Data Valuation for Federated Learning (2020) (79)
DeepDive: A Data Management System for Automatic Knowledge Base Construction (2015) (78)
ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading (2018) (68)
Using transfer learning to detect galaxy mergers (2018) (67)
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning (2015) (64)
FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off (2017) (64)
Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification (2020) (62)
Cyclades: Conflict-free Asynchronous Machine Learning (2016) (61)
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs (2016) (61)
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads (2017) (58)
Towards high-throughput gibbs sampling at scale: a study across storage managers (2013) (56)
GeoDeepDive: statistical inference using familiar data-processing languages (2013) (54)
Feature Engineering for Knowledge Base Construction (2014) (53)
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery (2021) (53)
Big Data versus the Crowd: Looking for Relationships in All the Right Places (2012) (51)
Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries (2015) (49)
MLog: Towards Declarative In-Database Machine Learning (2017) (47)
Distributed Learning over Unreliable Networks (2018) (47)
Parallel Feature Selection Inspired by Group Testing (2014) (47)
CogniVal: A Framework for Cognitive Word Embedding Evaluation (2019) (47)
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images (2021) (45)
Multiple feature fusion for social media applications (2010) (45)
Is advance knowledge of flow sizes a plausible assumption? (2019) (42)
Towards Demystifying Serverless Machine Learning Training (2021) (42)
Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms (2017) (42)
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment (2019) (41)
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning (2020) (40)
Extracting Databases from Dark Data with DeepDive (2016) (40)
OpenBox: A Generalized Black-box Optimization Service (2021) (39)
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript (2020) (39)
Crop classification from full-year fully-polarimetric L-band UAVSAR time-series using the Random Forest algorithm (2020) (38)
Understanding Tables in Context Using Standard NLP Toolkits (2013) (38)
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation (2019) (38)
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images (2020) (37)
LDA*: A Robust and Large-scale Topic Modeling System (2017) (35)
Entity Recognition at First Sight: Improving NER with Eye Movement Information (2019) (32)
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions (2018) (32)
Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets (2016) (32)
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation (2018) (32)
Distributed Learning Systems with First-Order Methods (2020) (32)
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks (2021) (31)
Evaluating Stream Filtering for Entity Profile Updates for TREC 2013 (2013) (31)
Data Science through the looking glass and what we found there (2019) (31)
Building a Large-scale Multimodal Knowledge Base for Visual Question Answering (2015) (31)
DeepSqueeze : Decentralization Meets Error-Compensated Compression (2019) (29)
TextNAS: A Neural Architecture Search Space tailored for Text Representation (2019) (29)
A Data Quality-Driven View of MLOps (2021) (29)
Scaling Inference for Markov Logic via Dual Decomposition (2012) (29)
A model for AGN variability on multiple time-scales (2018) (29)
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction (2018) (28)
A Markov logic framework for recognizing complex events from multimodal data (2013) (28)
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions (2020) (27)
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis] (2019) (27)
Advancing NLP with Cognitive Language Processing Signals (2019) (25)
DeepDive (2017) (24)
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition (2021) (23)
An Experimental Evaluation of SimRank-based Similarity Search Algorithms (2017) (23)
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (2019) (23)
An attention-based U-Net for detecting deforestation within satellite sensor imagery (2022) (23)
Monitoring Land Cover Change and Disturbance of the Mount Wutai World Cultural Landscape Heritage Protected Area, Based on Remote Sensing Time-Series Images from 1987 to 2018 (2019) (22)
Multilingual Language Models Predict Human Reading Behavior (2021) (22)
Full year crop monitoring and separability assessment with fully-polarimetric L-band UAVSAR: A case study in the Sacramento Valley, California (2019) (22)
MLBench: Benchmarking Machine Learning Services Against Human Experts (2018) (21)
TencentBoost: A Gradient Boosting Tree System with Parameter Server (2017) (21)
MLSys: The New Frontier of Machine Learning Systems (2019) (21)
Boundary-Aware Refined Network for Automatic Building Extraction in Very High-Resolution Urban Aerial Images (2021) (21)
Efficient Automatic CASH via Rising Bandits (2020) (21)
Adversarial Learning for Debiasing Knowledge Graph Embeddings (2020) (21)
SysML: The New Frontier of Machine Learning Systems (2019) (20)
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection (2020) (20)
Felix: Scaling Inference for Markov Logic with an Operator-based Approach (2011) (18)
FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters (2021) (18)
An Approximate, Efficient LP Solver for LP Rounding (2013) (18)
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning (2016) (18)
Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning (2020) (18)
Evolving Attention with Residual Convolutions (2021) (17)
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms (2019) (17)
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width (2015) (17)
Building Continuous Integration Services for Machine Learning (2020) (17)
Generative adversarial networks as a tool to recover structural information from cryo-electron microscopy data (2018) (17)
Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study (2018) (17)
Decentralization Meets Quantization (2018) (16)
Exploring galaxy evolution with generative models (2018) (16)
A novel multi-parameter support vector machine for image classification (2015) (16)
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks (2018) (16)
Android malware development on public malware scanning platforms: A large-scale data-driven study (2016) (16)
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements (2020) (15)
Structure and magnetic properties of Alnico ribbons (2018) (15)
Correlation between white matter damage and gray matter lesions in multiple sclerosis patients (2017) (15)
Provable Robust Learning Based on Transformation-Specific Smoothing (2020) (15)
Simplified object-based deep neural network for very high resolution remote sensing image classification (2021) (14)
DeGNN: Improving Graph Neural Networks with Graph Decomposition (2021) (14)
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data (2020) (14)
Which Model to Transfer? Finding the Needle in the Growing Haystack (2020) (14)
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services (2018) (14)
MLlib*: Fast Training of GLMs Using Spark MLlib (2019) (14)
Assessing the Uncertainty of Tree Height and Aboveground Biomass From Terrestrial Laser Scanner and Hypsometer Using Airborne LiDAR Data in Tropical Rainforests (2019) (14)
Materialization optimizations for feature selection workloads (2014) (14)
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions (2021) (14)
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation (2020) (13)
$\texttt{DeepSqueeze}$: Decentralization Meets Error-Compensated Compression (2019) (12)
Neural dynamics of sentiment processing during naturalistic sentence reading (2020) (12)
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract) (2022) (12)
R-YOLO: A Real-Time Text Detector for Natural Scenes with Arbitrary Rotation (2021) (11)
Learning to Mutate with Hypergradient Guided Population (2020) (11)
A hybrid OSVM-OCNN Method for Crop Classification from Fine Spatial Resolution Remotely Sensed Imagery (2019) (11)
Novel shape indices for vector landscape pattern analysis (2016) (11)
xFraud: Explainable Fraud Transaction Detection (2020) (11)
AutoML: From Methodology to Application (2021) (10)
A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (2021) (10)
xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs (2020) (10)
On Convergence of Nearest Neighbor Classifiers over Feature Transformations (2020) (10)
Content-enriched classifier for web video classification (2010) (10)
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing (2021) (10)
MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data? (2017) (10)
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization (2019) (10)
ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models (2016) (10)
Ease.ML: A Lifecycle Management System for Machine Learning (2021) (10)
Learning User Representations with Hypercuboids for Recommender Systems (2020) (9)
Semantic similarity based on compact concept ontology (2008) (9)
GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery (2019) (9)
A Scale Sequence Object-based Convolutional Neural Network (SS-OCNN) for crop classification from fine spatial resolution remotely sensed imagery (2021) (9)
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation (2018) (9)
Federated Matrix Factorization with Privacy Guarantee (2021) (9)
Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications (2020) (8)
An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision (2017) (8)
An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification (2021) (8)
Observer Dependent Lossy Image Compression (2019) (8)
dcbench: a benchmark for data-centric AI systems (2022) (8)
Decentralized Training of Foundation Models in Heterogeneous Environments (2022) (8)
How good are machine learning clouds for binary classification with good features?: extended abstract (2017) (8)
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis (2020) (8)
[Modeling and Predicting of MODIS Leaf Area Index Time Series Based on a Hybrid SARIMA and BP Neural Network Method]. (2017) (8)
Multi-Attention-Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images (2021) (8)
Online Active Model Selection for Pre-trained Classifiers (2020) (8)
doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases (2019) (7)
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation (2019) (7)
A machine-compiled macroevolutionary history of Phanerozoic life (2014) (7)
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization (2022) (7)
Scale-Aware Neural Network for Semantic Segmentation of Multi-Resolution Remote Sensing Images (2021) (7)
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines (2020) (7)
Neural Methods for Logical Reasoning over Knowledge Graphs (2022) (7)
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond (2017) (6)
AutoML: A Perspective where Industry Meets Academy (2021) (6)
DocParser: Hierarchical Document Structure Parsing from Renderings (2021) (6)
Effects of Si and/or Ti Addition on the Microstructure and Magnetic Properties of Fe–Cr–Co Ribbons (2017) (6)
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks (2020) (6)
A rough set decision tree based MLP-CNN for very high resolution remotely sensed image classification (2017) (6)
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale (2022) (6)
Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy (2019) (6)
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning (2022) (5)
An Approximate, Efficient Solver for LP Rounding (2013) (5)
Model averaging in distributed machine learning: a case study with Apache Spark (2021) (5)
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee (2021) (5)
Multi-device, Multi-tenant Model Selection with GP-EI (2018) (5)
Speeding up Percolator. (2019) (5)
Nearest neighbor classifiers over incomplete information (2020) (5)
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter (2019) (5)
Switch Spaces: Learning Product Spaces with Sparse Gating (2021) (5)
Estimating seasonal aboveground biomass of a riparian pioneer plant community:An exploratory analysis by canopy structural data (2017) (5)
First and Second-Order Information Fusion Networks for Remote Sensing Scene Classification (2021) (5)
Iterative Deep Learning (IDL) for agricultural landscape classification using fine spatial resolution remotely sensed imagery (2021) (5)
Estimating Artificial Impervious Surface Percentage in Asia by Fusing Multi-Temporal MODIS and VIIRS Nighttime Light Data (2021) (5)
Towards Automatic Bias Detection in Knowledge Graphs (2021) (4)
SaNet: Scale-aware Neural Network for Semantic Labelling of Multiple Spatial Resolution Aerial Images (2021) (4)
A Deep Markov Model for Clickstream Analytics in Online Shopping (2022) (4)
Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation (2021) (4)
A Revisit of Query Expansion with Different Semantic Levels (2009) (4)
Transfer Learning based Search Space Design for Hyperparameter Tuning (2022) (4)
RosENet: Improving binding affinity prediction by leveraging molecular mechanics energies with a 3D Convolutional Neural Network (2020) (4)
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks (2022) (4)
Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond (2018) (4)
Improving BERT With Self-Supervised Attention (2020) (4)
Superpixel-Based Attention Graph Neural Network for Semantic Segmentation in Aerial Images (2022) (4)
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform (2018) (4)
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees (2022) (4)
DocParser: Hierarchical Structure Parsing of Document Renderings (2019) (4)
Hyper-tune (2022) (4)
Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study (2018) (4)
ME-Net: A Multi-Scale Erosion Network for Crisp Building Edge Detection from Very High Resolution Remote Sensing Imagery (2021) (4)
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development (2020) (4)
Continuous Integration of Machine Learning Models: A Rigorous Yet Practical Treatment (2019) (4)
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph (2020) (4)
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions (2020) (3)
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series (2022) (3)
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects (2020) (3)
Modeling User Expertise in Folksonomies by Fusing Multi-type Features (2011) (3)
VolcanoML (2021) (3)
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs (2021) (3)
Ease.ml/meter: Quantitative Overfitting Management for Human-in-the-loop ML Application Development (2019) (3)
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet (2020) (3)
GalaxyGAN: Generative Adversarial Networks for recovery of galaxy features (2017) (2)
Analysis of Change in Maize Plantation Distribution and Its Driving Factors in Heilongjiang Province, China (2022) (2)
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery (2021) (2)
Winter Road Surface Conditions Classification using Convolutional Neural Network (CNN): Visible Light and Thermal Images Fusion (2021) (2)
ColumnML (2018) (2)
How the Air Clean Plan and carbon mitigation measures co-benefited China in PM2.5 reduction and health from 2014 to 2020. (2022) (2)
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition (2020) (2)
A Comparative Analysis of Object Detection Algorithms in Naturalistic Driving Videos (2021) (2)
Ease.ml/snoopy in action (2020) (2)
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery (2022) (2)
Opportunities for Data Management Research in the Era of Horizontal AI/ML (2019) (2)
Alterations in gut microbiota are related to metabolite profiles in spinal cord injury (2022) (2)
AutoML (2021) (2)
Framework to Create Cloud-Free Remote Sensing Data Using Passenger Aircraft as the Platform (2021) (1)
On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy (2020) (1)
Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features (2017) (1)
Keyword Extraction in Scientific Documents (2022) (1)
Contrastive Learning for Unsupervised Domain Adaptation of Time Series (2022) (1)
LDA* (2017) (1)
Distributed Machine Learning and Gradient Optimization (2022) (1)
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning (2023) (1)
Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table (2021) (1)
Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted (2014) (1)
ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent (2020) (1)
Zurich Cognitive Language Processing Corpus: A simultaneous EEG and eye-tracking resource for analyzing the human reading process (2018) (1)
Dynamic Human Evaluation for Relative Model Comparisons (2021) (1)
Compressive Sensing with Low Precision Data Representation: Theory and Applications. (2018) (1)
Bootstrapping Knowledge Base Acceleration (2013) (1)
Elementary (2012) (1)
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees (2022) (1)
Nonlocal feature learning based on a variational graph auto-encoder network for small area change detection using SAR imagery (2022) (1)
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation (2023) (1)
The AI Neuropsychologist: Automatic scoring of memory deficits with deep learning (2022) (1)
Video Annotation System Based on Categorizing and Keyword Labelling (2009) (1)
Class-Guided Swin Transformer for Semantic Segmentation of Remote Sensing Imagery (2022) (1)
CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation (2020) (1)
Modelling graph dynamics in fraud detection with "Attention" (2022) (1)
BRIGHT - Graph Neural Networks in Real-time Fraud Detection (2022) (0)
Incremental knowledge base construction using DeepDive (2016) (0)
Ease . ml / meter : Quantitative Overfitting Management for Human-inthe-loop ML Application Development Towards Data Management for Statistical Generalization (2019) (0)
WindTunnel (2021) (0)
Analysis of the space-time transformation of urban structure in Beijing-Tianjin-Hebei using NPP-VIIRS night-time light data (2023) (0)
a ) PaleoDeepDive Dataflow ( b ) Quality Assessment ( c ) Scientific Application : Biodiversity (2016) (0)
Model averaging in distributed machine learning: a case study with Apache Spark (2021) (0)
1 Two-Phase Object-Based Deep Learning for Multi-2 temporal SAR image change Detection 3 (2020) (0)
Study of ore control information in Rongle area of Tibet based on high resolution remote sensing data (2020) (0)
Mapping urban night lights at a fine spatial resolution: downscaling VIIRS using geographically weighted area-to-point regression Kriging (2022) (0)
Moving Target Detection and Parameter Estimation Using BeiDou GEO Satellites-Based Passive Radar With Short-Time Integration (2023) (0)
Joint Deep Learning: A novel framework for urban land cover and land use classification (2020) (0)
Robust Brain Age Estimation Based on sMRI via Nonlinear Age-Adaptive Ensemble Learning (2022) (0)
MICROREC: EFFICIENT RECOMMENDATION INFERENCE (2021) (0)
N EURAL M ETHODS FOR L OGICAL R EASONING OVER K NOWLEDGE G RAPHS (2022) (0)
RumbleML: program the lakehouse with JSONiq (2021) (0)
xFraud (2021) (0)
Spatiotemporal dynamics of the cellular components involved in glial scar formation following spinal cord injury. (2022) (0)
Automatic Detection and Mapping of Espeletia Plants from UAV Imagery (2021) (0)
Research Statement Thesis Research (2015) (0)
C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent (2020) (0)
Ease.ML/Snoopy: Towards Automatic Feasibility Studies for ML viaQuantitative Understanding of “DataQuality for ML” (2022) (0)
Deep Learning for Recommender Systems (2022) (0)
A Teaching Content Design of Embedded System in Accordance with the Characteristics of the Computer Science (2017) (0)
Quantitative Overfitting Management for Human-inthe-loop ML Application Development with ease . ml / meter Towards Data Management for Statistical Generalization (2019) (0)
SHiFT (2022) (0)
Felix : Scaling up Global Statistical Information Extraction Using an Operator-based Approach (2011) (0)
iFlood: A Stable and Effective Regularizer (2022) (0)
Evaluation of the biconditional transformation of land use: a case study of Minhou County in China (2023) (0)
I F LOOD : A S TABLE AND E FFECTIVE R EGULARIZER (2022) (0)
Network Scheduling in the Dark (2018) (0)
DeGNN (2021) (0)
Generative Models in Deep Learning: Constraints for Galaxy Evolution (2018) (0)
dcbench (2022) (0)
Exploration and Practice on the Course Construction of qDesktop Service Comprehensive Trainingq (2016) (0)
ZuCo Version January 2019 (2019) (0)
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets (2022) (0)
Combining SAR images with land cover products for rapid urban flood mapping (2022) (0)
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation (2023) (0)
OpenBox: A Python Toolkit for Generalized Black-box Optimization (2023) (0)

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