Ce Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
163
Venues
50
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*ICML18 papers
- A*SIGMOD17 papers
- A*ICDE15 papers
- A*ICLR9 papers
- A*KDD9 papers
- A*AAAI8 papers
- A*CVPR7 papers
- MulticonferenceICASSP5 papers
- A*ACL4 papers
- AWACV4 papers
- A*EMNLP4 papers
- A*WWW4 papers
- ACIDR4 papers
- AAISTATS4 papers
- AInterspeech4 papers
- ACIKM3 papers
- ANAACL3 papers
- BDASFAA3 papers
- A*ICDM2 papers
- A*SP2 papers
- CIGARSS2 papers
- BLREC2 papers
- A*CCS2 papers
- BCLOUD2 papers
- BASPDAC1 paper
- A*ICCV1 paper
- BICIP1 paper
- BIJCNN1 paper
- AustralasianAI1 paper
- AFAST1 paper
- BICONIP1 paper
- ABMVC1 paper
- A*ECCV1 paper
- NationalHCI1 paper
- AMiddleware1 paper
- AWSDM1 paper
- BCOLING1 paper
- CHealthCom1 paper
- BCoNLL1 paper
- NationalNSDI1 paper
- UnrankedSENSYS1 paper
- BEDBT1 paper
- BMDM1 paper
- NationalAMIA1 paper
- NationalFCCM1 paper
- BFPL1 paper
- CISNN1 paper
- A*VLDB1 paper
- BICMI1 paper
- A*SIGIR1 paper
Papers
163 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models. | Rui Wang, Ce Zhang, Jun-Yu Ma, Jianshu Zhang, Hongru Wang, Yi Chen, Boyang Xue, Tianqing Fang, Zhisong Zhang, Hongming Zhang, Haitao Mi, Dong Yu, Kam-Fai Wong |
| 2026 | ICDE | Cole ${ }^{+}$: Towards Practical Column-Based Learned Storage for Blockchain Systems. | Ce Zhang, Cheng Xu, Haibo Hu, Jianliang Xu |
| 2026 | WACV | Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction. | Ce Zhang, Yale Song, Ruta Desai, Michael Louis Iuzzolino, Joseph Tighe, Gedas Bertasius, Satwik Kottur |
| 2025 | ACL | InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning. | Zifu Wan, Yaqi Xie, Ce Zhang, Zhiqiu Lin, Zihan Wang, Simon Stepputtis, Deva Ramanan, Katia P. Sycara |
| 2025 | ASPDAC | FEI: Fusion Processing of Sensing Energy and Information for Self-Sustainable Infrared Smart Vision System. | Haijin Su, Xin Hong, Maimaiti Nazhamaiti, Ce Zhang, Li Luo, Qi Wei, Zheyu Liu, Wenjie Deng, Yongzhe Zhang, Fei Qiao |
| 2025 | CVPR | BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation. | Yulu Pan, Ce Zhang, Gedas Bertasius |
| 2025 | ICCV | ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models. | Zifu Wan, Ce Zhang, Silong Yong, Martin Q. Ma, Simon Stepputtis, Louis-Philippe Morency, Deva Ramanan, Katia Sycara, Yaqi Xie |
| 2025 | ICDE | MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. | Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang |
| 2025 | ICIP | Spectral-aware Global Fusion for RGB-Thermal Semantic Segmentation. | Ce Zhang, Zifu Wan, Simon Stepputtis, Katia Sycara, Yaqi Xie |
| 2025 | ICLR | Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models. | Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia P. Sycara, Yaqi Xie |
| 2025 | ICLR | Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation. | Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang |
| 2025 | ICLR | Mixture-of-Agents Enhances Large Language Model Capabilities. | Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou |
| 2025 | ICML | Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation. | Jingyu Liu, Beidi Chen, Ce Zhang |
| 2025 | ICML | Improving Model Alignment Through Collective Intelligence of Open-Source Models. | Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou |
| 2025 | ICML | Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference. | Ce Zhang, Yixin Han, Yafei Wang, Xiaodong Yan, Linglong Kong, Ting Li, Bei Jiang |
| 2025 | IJCNN | Enhancing Branching Policy Generalization through Self-Supervised Adversarial Instance Augmentation. | Ce Zhang, Bin Zhang, Xinyue Lu, Guoliang Fan |
| 2025 | WACV | Enhancing Vision-Language Few-Shot Adaptation with Negative Learning. | Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie |
| 2025 | SIGMOD | Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need. | Haixin Wang, Cheng Xu, Ce Zhang, Haibo Hu, Shikun Tian, Shenglong Chen, Ying Yan, Jianliang Xu |
| 2024 | AAAI | Concept-Guided Prompt Learning for Generalization in Vision-Language Models. | Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He |
| 2024 | AI | An Attention-Based Parallel Hybrid Prediction Model for Intersection Level Turning Movement Forecasting. | Yancheng Gong, Chunhao Liu, Ce Zhang, Liping Fu, Hao Wei, Guangyuan Pan |
| 2024 | CVPR | HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation. | Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia P. Sycara, Yaqi Xie |
| 2024 | EMNLP | A Simple LLM Framework for Long-Range Video Question-Answering. | Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius |
| 2024 | EMNLP | Mitigating Catastrophic Forgetting in Language Transfer via Model Merging. | Anton Alexandrov, Veselin Raychev, Mark Niklas Mller, Ce Zhang, Martin T. Vechev, Kristina Toutanova |
| 2024 | FAST | COLE: A Column-based Learned Storage for Blockchain Systems. | Ce Zhang, Cheng Xu, Haibo Hu, Jianliang Xu |
| 2024 | ICASSP | Test-Time Distribution Learning Adapter for Cross-Modal Visual Reasoning. | Yi Zhang, Ce Zhang |
| 2024 | ICDE | V2FS : A Verifiable Virtual Filesystem for Multi-Chain Query Authentication. | Haixin Wang, Cheng Xu, Xiaojie Chen, Ce Zhang, Haibo Hu, Shikun Tian, Ying Yan, Jianliang Xu |
| 2024 | ICLR | Data Debugging with Shapley Importance over Machine Learning Pipelines. | Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang |
| 2024 | ICLR | Effective and Efficient Federated Tree Learning on Hybrid Data. | Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song |
| 2024 | ICLR | AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? | Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun |
| 2024 | ICML | Mechanistic Design and Scaling of Hybrid Architectures. | Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Bjrn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher R, Ce Zhang, Stefano Massaroli |
| 2024 | ICONIP | APS: An Adaptive Policy Switching Framework to Improve the Generalization of Branching Policy. | Ce Zhang, Dapeng Li, Lin Lin, Xinyue Lu, Guoliang Fan |
| 2024 | WWW | MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. | 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 |
| 2024 | WACV | Object-centric Video Representation for Long-term Action Anticipation. | Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun |
| 2024 | WACV | Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation. | Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He |
| 2023 | BMVC | BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning. | Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He |
| 2023 | CVPR | Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation. | Zhehan Kan, Shuoshuo Chen, Ce Zhang, Yushun Tang, Zhihai He |
| 2023 | CVPR | Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. | Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He |
| 2023 | CVPR | MotionTrack: End-to-End Transformer-based Multi-Object Tracking with LiDAR-Camera Fusion. | Ce Zhang, Chengjie Zhang, Yiluan Guo, Lingji Chen, Michael Happold |
| 2023 | ICDE | Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. | Cdric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang |
| 2023 | ICDE | DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation. | Guangyu Zhang, Chunhua Li, Ke Zhou, Li Liu, Ce Zhang, Wancheng Chen, Haotian Fang, Bin Cheng, Jie Yang, Jiashu Xing |
| 2023 | ICDM | DSG: An End-to-End Document Structure Generator. | Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel |
| 2023 | ICLR | Contrastive Learning for Unsupervised Domain Adaptation of Time Series. | Yilmazcan zyurt, Stefan Feuerriegel, Ce Zhang |
| 2023 | ICML | FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. | Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher R, Ion Stoica, Ce Zhang |
| 2023 | ICML | Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. | Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher R, Beidi Chen |
| 2023 | ICML | FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. | Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li |
| 2023 | ICML | CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. | Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher R, Ce Zhang |
| 2023 | SIGMOD | Proactively Screening Machine Learning Pipelines with ARGUSEYES. | Sebastian Schelter, Stefan Grafberger, Shubha Guha, Bojan Karlas, Ce Zhang |
| 2023 | SP | RAB: Provable Robustness Against Backdoor Attacks. | Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li |
| 2022 | AAAI | TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets. | Susie Xi Rao, Johannes Rausch, Peter H. Egger, Ce Zhang |
| 2022 | AAAI | ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. | Gyri Reiersen, David Dao, Bjrn Ltjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu |
| 2022 | CIDR | DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. | 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 Tzn, Wojciech Ulatowski, Yuanyuan Wang, Izajasz P. Wrosz, Ales Zamuda, Ce Zhang, Xiaoxiang Zhu |
| 2022 | CIDR | Screening Native Machine Learning Pipelines with ArgusEyes. | Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang |
| 2022 | CIKM | BRIGHT - Graph Neural Networks in Real-time Fraud Detection. | Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang |
| 2022 | CVPR | Which Model to Transfer? Finding the Needle in the Growing Haystack. | Cdric Renggli, Andr Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic |
| 2022 | ECCV | Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation. | Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen |
| 2022 | HCI | User-Centered Information Architecture of Vehicle AR-HUD Interface. | Han Zhang, Zhefan Yu, Ce Zhang, Ruotian Zhang, Yuyang Liu, Seung Hee Lee |
| 2022 | ICDE | Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). | Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang |
| 2022 | ICDE | vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. | Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei |
| 2022 | ICLR | Neural Methods for Logical Reasoning over Knowledge Graphs. | Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang |
| 2022 | ICLR | iFlood: A Stable and Effective Regularizer. | Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding |
| 2022 | ICML | Certifying Out-of-Domain Generalization for Blackbox Functions. | Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang |
| 2022 | IGARSS | Application of UAV-Based Photogrammetry Wthout Ground Control Points in Quantifying Intertidal Mudflat Morphodynamics. | Chunpeng Chen, Ce Zhang, Wenting Wu, Wenhao Jiang, Bo Tian, Yunxuan Zhou |
| 2022 | KDD | Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. | 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 |
| 2022 | KDD | Transfer Learning based Search Space Design for Hyperparameter Tuning. | Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui |
| 2022 | KDD | TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. | Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui |
| 2022 | LREC | Dynamic Human Evaluation for Relative Model Comparisons. | Thrhildur Thorleiksdttir, Cdric Renggli, Nora Hollenstein, Ce Zhang |
| 2022 | Middleware | DCert: towards secure, efficient, and versatile blockchain light clients. | Yang Ji, Cheng Xu, Ce Zhang, Jianliang Xu |
| 2022 | WWW | A Deep Markov Model for Clickstream Analytics in Online Shopping. | Yilmazcan zyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel |
| 2022 | SIGMOD | HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements. | Baoqing Cai, Yu Liu, Ce Zhang, Guangyu Zhang, Ke Zhou, Li Liu, Chunhua Li, Bin Cheng, Jie Yang, Jiashu Xing |
| 2022 | SIGMOD | In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. | Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cdric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang |
| 2022 | SP | LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis. | Fan Wu, Yunhui Long, Ce Zhang, Bo Li |
| 2021 | AAAI | MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. | Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui |
| 2021 | AAAI | DocParser: Hierarchical Document Structure Parsing from Renderings. | Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel |
| 2021 | AISTATS | Online Active Model Selection for Pre-trained Classifiers. | Mohammad Reza Karimi, Nezihe Merve Grel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause |
| 2021 | CCS | TSS: Transformation-Specific Smoothing for Robustness Certification. | Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li |
| 2021 | CCS | DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. | Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li |
| 2021 | CIDR | Ease.ML: A Lifecycle Management System for Machine Learning. | Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Grel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cdric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang |
| 2021 | CIKM | AutoML: From Methodology to Application. | Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang |
| 2021 | CVPR | Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? | Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song |
| 2021 | EMNLP | Towards Automatic Bias Detection in Knowledge Graphs. | Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel |
| 2021 | ICDE | CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. | Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang |
| 2021 | ICDE | Authenticated Keyword Search in Scalable Hybrid-Storage Blockchains. | Ce Zhang, Cheng Xu, Haixin Wang, Jianliang Xu, Byron Choi |
| 2021 | ICML | Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. | Nezihe Merve Grel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li |
| 2021 | ICML | 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. | Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He |
| 2021 | ICML | Evolving Attention with Residual Convolutions. | Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong |
| 2021 | IGARSS | Automatic Detection and Mapping of Espeletia Plants from UAV Imagery. | Jorge Rodriguez, Ce Zhang, Ivan Lizarazo, Flavio Prieto |
| 2021 | KDD | FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. | Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso |
| 2021 | KDD | OpenBox: A Generalized Black-box Optimization Service. | Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui |
| 2021 | KDD | AutoML: A Perspective where Industry Meets Academy. | Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang |
| 2021 | KDD | DeGNN: Improving Graph Neural Networks with Graph Decomposition. | Xupeng Miao, Nezihe Merve Grel, 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 |
| 2021 | KDD | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | NAACL | Multilingual Language Models Predict Human Reading Behavior. | Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena A. Jger, Lisa Beinborn |
| 2021 | NAACL | Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. | Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang |
| 2021 | SIGMOD | Towards understanding end-to-end learning in the context of data: machine learning dancing over semirings & Codd's table. | Wentao Wu, Ce Zhang |
| 2021 | SIGMOD | Towards Demystifying Serverless Machine Learning Training. | Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang |
| 2021 | WSDM | Learning User Representations with Hypercuboids for Recommender Systems. | Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou |
| 2020 | AAAI | Efficient Automatic CASH via Rising Bandits. | Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui |
| 2020 | AAAI | TextNAS: A Neural Architecture Search Space Tailored for Text Representation. | Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou |
| 2020 | AAAI | Topic Modeling on Document Networks with Adjacent-Encoder. | Ce Zhang, Hady W. Lauw |
| 2020 | COLING | CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation. | Nora Hollenstein, Adrian Van der Lek, Ce Zhang |
| 2020 | EMNLP | Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. | Giuseppe Russo, Nora Hollenstein, Claudiu Cristian Musat, Ce Zhang |
| 2020 | HealthCom | Link Fault Repair Algorithm of Wearable Wireless Sensor Networks based on Polygon Fermat Point. | Lincong Zhang, Ce Zhang, Kefeng Wei, Qieshi Zhang |
| 2020 | ICDE | vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval. | Shangwei Guo, Yang Ji, Ce Zhang, Cheng Xu, Jianliang Xu |
| 2020 | ICDE | C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. | Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang |
| 2020 | ICML | Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. | Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui |
| 2020 | KDD | Building Continuous Integration Services for Machine Learning. | Bojan Karlas, Matteo Interlandi, Cdric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer |
| 2020 | LREC | ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. | Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer |
| 2020 | SIGMOD | vChain: A Blockchain System Ensuring Query Integrity. | Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu |
| 2019 | AISTATS | Towards Efficient Data Valuation Based on the Shapley Value. | Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Grel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos |
| 2019 | AISTATS | AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI. | Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu |
| 2019 | CoNLL | CogniVal: A Framework for Cognitive Word Embedding Evaluation. | Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang |
| 2019 | ICDE | ImageProof: Enabling Authentication for Large-Scale Image Retrieval. | Shangwei Guo, Jianliang Xu, Ce Zhang, Cheng Xu, Tao Xiang |
| 2019 | ICDE | GEM^2-Tree: A Gas-Efficient Structure for Authenticated Range Queries in Blockchain. | Ce Zhang, Cheng Xu, Jianliang Xu, Yuzhe Richard Tang, Byron Choi |
| 2019 | ICDE | MLlib*: Fast Training of GLMs Using Spark MLlib. | Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui |
| 2019 | ICML | DL2: Training and Querying Neural Networks with Logic. | Marc Fischer, Mislav Balunovic, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, Martin T. Vechev |
| 2019 | ICML | Distributed Learning over Unreliable Networks. | Chen Yu, Hanlin Tang, Cdric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu |
| 2019 | NAACL | Entity Recognition at First Sight: Improving NER with Eye Movement Information. | Nora Hollenstein, Ce Zhang |
| 2019 | NSDI | Is advance knowledge of flow sizes a plausible assumption? | Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla |
| 2019 | WWW | Sensing Social Media Signals for Cryptocurrency News. | Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin |
| 2019 | SIGMOD | vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases. | Cheng Xu, Ce Zhang, Jianliang Xu |
| 2019 | SENSYS | Smart Surface Classification for Accessible Routing through Built Environment: A Crowd-sourced Approach. | Md. Osman Gani, Vaskar Raychoudhury, Janick Edinger, Valeria Mokrenko, Zheng Cao, Ce Zhang |
| 2018 | AISTATS | Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond. | Heng Guo, Kaan Kara, Ce Zhang |
| 2018 | CLOUD | Network Scheduling in the Dark. | Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla |
| 2018 | EDBT | Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study. | Demjan Grubic, Leo Tam, Dan Alistarh, Ce Zhang |
| 2018 | ICML | Asynchronous Decentralized Parallel Stochastic Gradient Descent. | Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu |
| 2018 | ICML | D | Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu |
| 2018 | MDM | Efficient Matching of Offers and Requests in Social-Aware Ridesharing. | Xiaoyi Fu, Ce Zhang, Hua Lu, Jianliang Xu |
| 2018 | SIGMOD | DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. | Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu |
| 2017 | AMIA | Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. | Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher R, Daniel L. Rubin, Michael Snyder |
| 2017 | CLOUD | How good are machine learning clouds for binary classification with good features?: extended abstract. | Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang |
| 2017 | FCCM | FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off. | Kaan Kara, Dan Alistarh, Gustavo Alonso, Onur Mutlu, Ce Zhang |
| 2017 | FPL | Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms. | Muhsen Owaida, Hantian Zhang, Ce Zhang, Gustavo Alonso |
| 2017 | ICDE | TencentBoost: A Gradient Boosting Tree System with Parameter Server. | Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang |
| 2017 | ICML | 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, Ji Liu, Ce Zhang |
| 2017 | ISNN | Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data. | Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2017 | SIGMOD | Heterogeneity-aware Distributed Parameter Servers. | Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu |
| 2017 | SIGMOD | An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision. | Ce Zhang, Wentao Wu, Tian Li |
| 2016 | SIGMOD | Extracting Databases from Dark Data with DeepDive. | Ce Zhang, Jaeho Shin, Christopher R, Michael J. Cafarella, Feng Niu |
| 2015 | SIGMOD | Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. | Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher R |
| 2014 | ICASSP | Variational Bayes based I-vector for speaker diarization of telephone conversations. | Rong Zheng, Ce Zhang, Shanshan Zhang, Bo Xu |
| 2014 | SIGMOD | Materialization optimizations for feature selection workloads. | Ce Zhang, Arun Kumar, Christopher R |
| 2014 | VLDB | Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted. | Victor Bittorf, Marcel Kornacker, Christopher R, Ce Zhang |
| 2013 | ACL | Understanding Tables in Context Using Standard NLP Toolkits. | Vidhya Govindaraju, Ce Zhang, Christopher R |
| 2013 | CIDR | Brainwash: A Data System for Feature Engineering. | Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher R, Ce Zhang |
| 2013 | ICASSP | Asynchronous stochastic gradient descent for DNN training. | Shanshan Zhang, Ce Zhang, Zhao You, Rong Zheng, Bo Xu |
| 2013 | ICMI | A Markov logic framework for recognizing complex events from multimodal data. | Young Chol Song, Henry A. Kautz, James F. Allen, Mary D. Swift, Yuncheng Li, Jiebo Luo, Ce Zhang |
| 2013 | SIGMOD | GeoDeepDive: statistical inference using familiar data-processing languages. | Ce Zhang, Vidhya Govindaraju, Jackson Borchardt, Tim Foltz, Christopher R, Shanan Peters |
| 2013 | SIGMOD | Towards high-throughput gibbs sampling at scale: a study across storage managers. | Ce Zhang, Christopher R |
| 2012 | ACL | Big Data versus the Crowd: Looking for Relationships in All the Right Places. | Ce Zhang, Feng Niu, Christopher R, Jude W. Shavlik |
| 2012 | ICASSP | Discriminative training of weighted polynomial vector for acoustic language recognition. | Ce Zhang, Rong Zheng, Bo Xu |
| 2012 | ICDM | Scaling Inference for Markov Logic via Dual Decomposition. | Feng Niu, Ce Zhang, Christopher R, Jude W. Shavlik |
| 2011 | DASFAA | Modeling User Expertise in Folksonomies by Fusing Multi-type Features. | Junjie Yao, Bin Cui, Qiaosha Han, Ce Zhang, Yanhong Zhou |
| 2011 | ICASSP | Exploring implicit score normalization techniques in speaker verification. | Ce Zhang, Rong Zheng, Bo Xu |
| 2011 | Interspeech | Restoring the Residual Speaker Information in Total Variability Modeling for Speaker Verification. | Ce Zhang, Rong Zheng, Bo Xu |
| 2011 | Interspeech | Data-Driven Gaussian Component Selection for Fast GMM-Based Speaker Verification. | Ce Zhang, Rong Zheng, Bo Xu |
| 2011 | Interspeech | Data-Driven UBM Generation via Tied Gaussians for GMM-Supervector Based Accent Identification. | Rong Zheng, Ce Zhang, Bo Xu |
| 2010 | Interspeech | An investigation into direct scoring methods without SVM training in speaker verification. | Ce Zhang, Rong Zheng, Bo Xu |
| 2010 | SIGIR | Content-enriched classifier for web video classification. | Bin Cui, Ce Zhang, Gao Cong |
| 2010 | SIGMOD | Multiple feature fusion for social media applications. | Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao |
| 2009 | CIKM | The use of categorization information in language models for question retrieval. | Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang |
| 2009 | DASFAA | Video Annotation System Based on Categorizing and Keyword Labelling. | Bin Cui, Bei Pan, Heng Tao Shen, Ying Wang, Ce Zhang |
| 2009 | DASFAA | A Revisit of Query Expansion with Different Semantic Levels. | Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang |
| 2008 | WWW | Semantic similarity based on compact concept ontology. | Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong |