Ce Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 272

Top Venues

Publications

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. 33 (5) (2024)
Stefan Grafberger, Zeyu Zhang, Sebastian Schelter, Ce Zhang
Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI. IEEE Data Eng. Bull. 47 (1) (2024)
Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
A systematic evaluation of machine learning on serverless infrastructure. VLDB J. 33 (2) (2024)
Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
Data Debugging with Shapley Importance over Machine Learning Pipelines. ICLR (2024)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) (2024)
Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
TablePuppet: A Generic Framework for Relational Federated Learning. CoRR (2024)
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. 33 (3) (2024)
Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
Mechanistic Design and Scaling of Hybrid Architectures. CoRR (2024)
Steve Rhyner, Haocong Luo, Juan Gómez-Luna, Mohammad Sadrosadati, Jiawei Jiang, Ataberk Olgun, Harshita Gupta, Ce Zhang, Onur Mutlu
Analysis of Distributed Optimization Algorithms on a Real Processing-In-Memory System. CoRR (2024)
Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben N. Broadbent, David Dao, Ce Zhang, Angelica Almeyda Zambrano, Simeon Max
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps. CoRR (2024)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR (2024)
Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML (2024)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR (2024)
Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML (2023)
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR (2023)
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Convolution-Enhanced Evolving Attention Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. ICLR (2023)
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Bojan Karlas, Ce Zhang
Proactively Screening Machine Learning Pipelines with ARGUSEYES. SIGMOD Conference Companion (2023)
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
RAB: Provable Robustness Against Backdoor Attacks. SP (2023)
Susie Xi Rao, Peter H. Egger, Ce Zhang
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning. CoRR (2023)
Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. NeurIPS (2023)
Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. VLDB J. 32 (2) (2023)
Xiaozhong Lyu, Stefan Grafberger, Samantha Biegel, Shaopeng Wei, Meng Cao, Sebastian Schelter, Ce Zhang
Improving Retrieval-Augmented Large Language Models via Data Importance Learning. CoRR (2023)
Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel
DSG: An End-to-End Document Structure Generator. ICDM (2023)
Guangyu Zhang, Chunhua Li, Ke Zhou, Li Liu, Ce Zhang, Wancheng Chen, Haotian Fang, Bin Cheng, Jie Yang, Jiashu Xing
DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation. ICDE (2023)
Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
Towards General and Efficient Online Tuning for Spark. Proc. VLDB Endow. 16 (12) (2023)
Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel
DSG: An End-to-End Document Structure Generator. CoRR (2023)
Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. CoRR (2023)
Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. ICDE (2023)
Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. CoRR (2023)
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML (2023)
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. SaTML (2023)
Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
Towards General and Efficient Online Tuning for Spark. CoRR (2023)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR (2023)
Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. NeurIPS (2023)
Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS (2022)
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang
Screening Native Machine Learning Pipelines with ArgusEyes. CIDR (2022)
Thórhildur Thorleiksdóttir, Cédric Renggli, Nora Hollenstein, Ce Zhang
Dynamic Human Evaluation for Relative Model Comparisons. LREC (2022)
Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang
BRIGHT - Graph Neural Networks in Real-Time Fraud Detection. CoRR (2022)
Leonel Aguilar, Michal Gath-Morad, Jascha Grübel, Jasper Ermatinger, Hantao Zhao, Stefan Wehrli, Robert W. Sumner, Ce Zhang, Dirk Helbing, Christoph Hölscher
Experiments as Code: A Concept for Reproducible, Auditable, Debuggable, Reusable, & Scalable Experiments. CoRR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD (2022)
Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). ICDE (2022)
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
CARE: Certifiably Robust Learning with Reasoning via Variational Inference. CoRR (2022)
Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Emmanuel de Salis, Sandra Mitrovic, Michael Wechner, Vanya Brucker, Peter Egger, Ce Zhang
Keyword Extraction in Scientific Documents. CoRR (2022)
Susie Xi Rao, Johannes Rausch, Peter Egger, Ce Zhang
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets. SDU@AAAI (2022)
Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina M. Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios I. Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaz Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pinar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz P. Wrosz, Ales Zamuda, Ce Zhang, Xiaoxiang Zhu
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. CIDR (2022)
Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR (2022)
Stefan Feuerriegel, Yash Raj Shrestha, Georg von Krogh, Ce Zhang
Bringing artificial intelligence to business management. Nat. Mach. Intell. 4 (7) (2022)
Fan Wu, Yunhui Long, Ce Zhang, Bo Li
LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis. IEEE Symposium on Security and Privacy (2022)
Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang
Neural Methods for Logical Reasoning over Knowledge Graphs. ICLR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. 15 (6) (2022)
Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang
BRIGHT - Graph Neural Networks in Real-time Fraud Detection. CIKM (2022)
Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation. CoRR (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4 (8) (2022)
Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. CoRR (2022)
Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR (2022)
Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang
Neural Methods for Logical Reasoning Over Knowledge Graphs. CoRR (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
Transfer Learning based Search Space Design for Hyperparameter Tuning. KDD (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4 (10) (2022)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. AAAI (2022)
Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
Transfer Learning based Search Space Design for Hyperparameter Tuning. CoRR (2022)
Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. CoRR (2022)
Han Zhang, Zhefan Yu, Ce Zhang, Ruotian Zhang, Yuyang Liu, Seung Hee Lee
User-Centered Information Architecture of Vehicle AR-HUD Interface. HCI (34) (2022)
Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD (2022)
Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines. CoRR (2022)
Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
Efficient End-to-End AutoML via Scalable Search Space Decomposition. CoRR (2022)
Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. CoRR (2022)
Simon Kassing, Vojislav Dukic, Ce Zhang, Ankit Singla
New primitives for bounded degradation in network service. CoRR (2022)
Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Sandra Mitrovic, Emmanuel de Salis, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang
Keyword Extraction in Scientific Documents. SwissText (2022)
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML (2022)
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Convolution-enhanced Evolving Attention Networks. CoRR (2022)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. CoRR (2022)
Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. LoG (2022)
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. CoRR (2022)
Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel
A Deep Markov Model for Clickstream Analytics in Online Shopping. WWW (2022)
Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
Which Model to Transfer? Finding the Needle in the Growing Haystack. CVPR (2022)
Cédric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic, Ce Zhang
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. Proc. VLDB Endow. 16 (2) (2022)
Susie Xi Rao, Johannes Rausch, Peter Egger, Ce Zhang
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets. CoRR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. CoRR (2022)
Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS (2022)
Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference (2022)
Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR (2022)
Cédric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic, Ce Zhang
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. CoRR (2022)
Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR (2022)
Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang
Modelling graph dynamics in fraud detection with "Attention". CoRR (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic Gradient Descent without Full Data Shuffle. CoRR (2022)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51 (2) (2022)
Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang, James Zou
dcbench: a benchmark for data-centric AI systems. DEEM@SIGMOD (2022)
Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee. CoRR (2021)
Nora Hollenstein, Cédric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing. CoRR (2021)
Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD (2021)
Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. NAACL-HLT (2021)
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD (2021)
Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness. NeurIPS (2021)
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. CoRR (2021)

Ce Zhang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ce Zhang