2026 Ce Zhang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	54	4535	4406	98	98	255	12380

Overview

Ce Zhang is affiliated with ETH Zurich in Switzerland and has a research focus predominantly in the field of computer science, with a substantial body of work in artificial intelligence. Their scholarly output includes 141 publications, with 88 specifically related to artificial intelligence, alongside work in information systems, computer vision and pattern recognition, software, and management science and operations research.

The primary topics of their research cover machine learning and data classification, software engineering research, privacy-preserving technologies in data, adversarial robustness in machine learning, data stream mining techniques, stochastic gradient optimization techniques, and broader machine learning and algorithms.

Ce Zhang has contributed to multiple scholarly venues where their work appears regularly, including:

arXiv (Cornell University) with 20 publications
Proceedings of the VLDB Endowment with 5 publications
Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications
Nature Machine Intelligence with 3 publications
Proceedings of the 2022 International Conference on Management of Data with 2 publications

Among their recent papers are:

"Advances, challenges and opportunities in creating data for trustworthy AI" (2022) published in Nature Machine Intelligence
"RosENet: Improving Binding Affinity Prediction by Leveraging Molecular Mechanics Energies with an Ensemble of 3D Convolutional Neural Networks" (2020) published in Journal of Chemical Information and Modeling
"Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting" (2021) published on arXiv (Cornell University)
"Bringing artificial intelligence to business management" (2022) published in Nature Machine Intelligence
"DataPerf: Benchmarks for Data-Centric AI Development" (2022) published on arXiv (Cornell University)

Ce Zhang regularly collaborates with a group of frequent co-authors, including Jiawei Jiang, Bojan Karlaš, Bin Cui, Cédric Renggli, and Wentao Wu, with collaboration counts ranging from 7 to 11 publications each.

The scientist has also contributed to academic literature through a book published by Springer Nature titled "Distributed Machine Learning and Gradient Optimization" released in 2022.

Best Publications

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.

Kun-Hsing Yu;Ce Zhang;Gerald J. Berry;Russ B. Altman

1043
Citations
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Xiangru Lian;Ce Zhang;Huan Zhang;Cho-Jui Hsieh

776
Citations
An object-based convolutional neural network (OCNN) for urban land use classification

Ce Zhang;Isabel Sargent;Xin Pan;Huapeng Li

435
Citations
A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

Ce Zhang;Xin Pan;Huapeng Li;Andy Gardiner

423
Citations
Asynchronous Decentralized Parallel Stochastic Gradient Descent

Xiangru Lian;Wei Zhang;Ce Zhang;Ji Liu

326
Citations
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Defu Cao;Yujing Wang;Juanyong Duan;Ce Zhang

304
Citations
Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit

Kevin Schawinski;Ce Zhang;Hantian Zhang;Lucas Fowler

291
Citations
Incremental knowledge base construction using DeepDive

Jaeho Shin;Sen Wu;Feiran Wang;Christopher De Sa

272
Citations
$D^2$: Decentralized Training over Decentralized Data

Hanlin Tang;Xiangru Lian;Ming Yan;Ce Zhang

259
Citations
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference

Feng Niu;Ce Zhang;Christopher R;Jude Shavlik

237
Citations
Towards Efficient Data Valuation Based on the Shapley Value

Ruoxi Jia;David Dao;Boxin Wang;Frances Ann Hubis

220
Citations
Communication Compression for Decentralized Training

Hanlin Tang;Shaoduo Gan;Ce Zhang;Tong Zhang

215
Citations
Heterogeneity-aware Distributed Parameter Servers

Jiawei Jiang;Bin Cui;Ce Zhang;Lele Yu

198
Citations
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning

Hantian Zhang;Jerry Li;Kaan Kara;Dan Alistarh

175
Citations
Taming the wild: a unified analysis of HOG WILD! -style algorithms

Christopher De Sa;Ce Zhang;Kunle Olukotun;Christopher Ré

175
Citations
ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading.

Nora Hollenstein;Jonathan Rotsztejn;Marius Troendle;Andreas Pedroni

173
Citations
A Principled Approach to Data Valuation for Federated Learning

Tianhao Wang;Johannes Rausch;Ce Zhang;Ruoxi Jia

172
Citations
DimmWitted: a study of main-memory statistical analytics

Ce Zhang;Christopher Ré

170
Citations
Asynchronous stochastic gradient descent for DNN training

Shanshan Zhang;Ce Zhang;Zhao You;Rong Zheng

162
Citations
Materialization optimizations for feature selection workloads

Ce Zhang;Arun Kumar;Christopher Ré

158
Citations
Brainwash: A data system for feature engineering

Michael R. Anderson;Dolan Antenucci;Victor Bittorf;Matthew Burgess

147
Citations
Efficient task-specific data valuation for nearest neighbor algorithms

Ruoxi Jia;David Dao;Boxin Wang;Frances Ann Hubis

105
Citations
DeepDive: Declarative Knowledge Base Construction

Christopher De Sa;Alex Ratner;Christopher Ré;Jaeho Shin

100
Citations
RAB: Provable Robustness Against Backdoor Attacks

Maurice Weber;Xiaojun Xu;Bojan Karlas;Ce Zhang

47
Citations

Frequent Co-Authors

Christopher Ré Stanford University

Ji Liu Facebook (United States)

Bin Cui Peking University

Kevin Schawinski ETH Zurich

Gustavo Alonso ETH Zurich

Jingren Zhou Alibaba Group (China)

Dawn Song University of California, Berkeley

Yaliang Li Alibaba Group (China)

Jude W. Shavlik University of Wisconsin–Madison

Kunle Olukotun Stanford University

External Links

Personal website of Ce Zhang Google Scholar page

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