Ce Zhang
Orcid: 0000-0002-8105-7505Affiliations:
- ETH Zurich, Institut für Computing Platforms, Switzerland
- Stanford University, Computer Science Department, CA, USA (former)
- University of Wisconsin-Madison, Department of Computer Science, Madison, WI, USA (former)
- Peking University, Beijing, China (former)
According to our database1,
Ce Zhang
authored at least 248 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
VLDB J., 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
VLDB J., March, 2023
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture.
IEEE Trans. Knowl. Data Eng., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning.
CoRR, 2023
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.
Nat. Mac. Intell., October, 2022
Proceedings of the Recommender Systems Handbook, 2022
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.
SIGMOD Rec., 2022
Proc. VLDB Endow., 2022
Proc. VLDB Endow., 2022
Nat. Mach. Intell., 2022
CoRR, 2022
CoRR, 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
CoRR, 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.
CoRR, 2022
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees.
CoRR, 2022
CoRR, 2022
Experiments as Code: A Concept for Reproducible, Auditable, Debuggable, Reusable, & Scalable Experiments.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Swiss Text Analytics Conference 2022, Lugano, 2022
LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.
Proceedings of the Learning on Graphs Conference, 2022
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022
Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022
Springer, ISBN: 978-981-16-3419-2, 2022
2021
VLDB J., 2021
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform.
IEEE Trans. Big Data, 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
CoRR, 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness.
CoRR, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table.
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.
Proceedings of Machine Learning and Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Federated Learning - Privacy and Incentive, 2020
Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications.
IEEE Trans. Signal Process., 2020
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development.
Proc. VLDB Endow., 2020
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.
Proc. VLDB Endow., 2020
NeuroImage, 2020
RosENet: Improving Binding Affinity Prediction by Leveraging Molecular Mechanics Energies with an Ensemble of 3D Convolutional Neural Networks.
J. Chem. Inf. Model., 2020
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks.
CoRR, 2020
On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy.
CoRR, 2020
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.
CoRR, 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020
CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning.
Proc. VLDB Endow., 2019
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization.
Proc. VLDB Endow., 2019
Proc. VLDB Endow., 2019
doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases.
Proc. VLDB Endow., 2019
Proc. VLDB Endow., 2019
CoRR, 2019
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation.
CoRR, 2019
Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy.
CoRR, 2019
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR, 2019
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter.
CoRR, 2019
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis].
CoRR, 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report).
CoRR, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment.
Proceedings of Machine Learning and Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 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
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proc. VLDB Endow., 2018
Proc. VLDB Endow., 2018
Proc. VLDB Endow., 2018
Proc. VLDB Endow., 2018
Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond.
CoRR, 2018
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation.
CoRR, 2018
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
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.
Proceedings of the 21st International Conference on Extending Database Technology, 2018
Proceedings of the Complex Networks and Their Applications VII, 2018
Proceedings of the ACM Symposium on Cloud Computing, 2018
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
Proc. VLDB Endow., 2017
CoRR, 2017
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit.
CoRR, 2017
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017
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
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
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
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 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
ACM Trans. Database Syst., 2016
CoRR, 2016
Large-scale extraction of gene interactions from full-text literature using DeepDive.
Bioinform., 2016
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 (IEEE BigData 2016), 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
CoRR, 2015
Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
Proceedings of the 2nd International Workshop on In Memory Data Management and Analytics, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Proceedings of The Twenty-Second Text REtrieval Conference, 2013
Proceedings of The Twenty-Second Text REtrieval Conference, 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
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
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013
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
Proceedings of The Twenty-First Text REtrieval Conference, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
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
Proceedings of the Database Systems for Advanced Applications, 2011
2010
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
2009
Proceedings of the Database Systems for Advanced Applications, 2009
Proceedings of the Database Systems for Advanced Applications, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Proceedings of the 17th International Conference on World Wide Web, 2008