Jingren Zhou
Orcid: 0000-0002-4220-2634Affiliations:
- Microsoft Research
According to our database1,
Jingren Zhou
authored at least 318 papers
between 2002 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
ACM Comput. Surv., February, 2025
2024
IEEE Trans. Parallel Distributed Syst., November, 2024
Proc. VLDB Endow., August, 2024
Proc. VLDB Endow., August, 2024
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Proc. VLDB Endow., February, 2024
Proc. VLDB Endow., January, 2024
Proc. VLDB Endow., January, 2024
Proc. VLDB Endow., January, 2024
Proc. VLDB Endow., January, 2024
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference.
CoRR, 2024
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
CoRR, 2024
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
CoRR, 2024
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation.
CoRR, 2024
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding.
CoRR, 2024
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey.
CoRR, 2024
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
CoRR, 2024
CoRR, 2024
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.
CoRR, 2024
CoRR, 2024
AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis.
CoRR, 2024
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.
CoRR, 2024
WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope.
CoRR, 2024
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions.
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).
VLDB J., November, 2023
Proc. VLDB Endow., November, 2023
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning.
IEEE Trans. Computers, October, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Knowl. Data Eng., 2023
Proc. VLDB Endow., 2023
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads.
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Proc. ACM Manag. Data, 2023
Enhancing Data Lakes with GraphAr: Efficient Graph Data Management with a Specialized Storage Scheme.
CoRR, 2023
CoRR, 2023
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.
CoRR, 2023
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.
CoRR, 2023
CoRR, 2023
WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models.
CoRR, 2023
CoRR, 2023
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended).
CoRR, 2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.
CoRR, 2023
CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility.
CoRR, 2023
CoRR, 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions.
CoRR, 2023
CoRR, 2023
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.
CoRR, 2023
CoRR, 2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
CoRR, 2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023
Proceedings of the 2023 USENIX Annual Technical Conference, 2023
Proceedings of the 2023 USENIX Annual Technical Conference, 2023
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 Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
M<sup>2</sup>Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
Proceedings of the Information Processing in Medical Imaging, 2023
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with <sup>18</sup>F-FDG PET.
Proceedings of the Information Processing in Medical Imaging, 2023
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation.
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
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
LipFormer: High-fidelity and Generalizable Talking Face Generation with A Pre-learned Facial Codebook.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing.
Proc. VLDB Endow., 2022
CoRR, 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR, 2022
CoRR, 2022
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.
CoRR, 2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.
CoRR, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment.
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
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.
Proceedings of the International Conference on Machine Learning, 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
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 25th International Conference on Extending Database Technology, 2022
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling.
ACM Trans. Knowl. Discov. Data, 2021
Proc. VLDB Endow., 2021
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.
Proc. VLDB Endow., 2021
CoRR, 2021
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.
CoRR, 2021
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention.
CoRR, 2021
AI Mag., 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WSDM '21, 2021
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.
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
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.
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
Proceedings of the 38th International Conference on Machine Learning, 2021
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Database Syst., 2020
Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy.
Proc. VLDB Endow., 2020
Proc. VLDB Endow., 2020
Proc. VLDB Endow., 2020
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.
CoRR, 2020
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
2019
Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures.
IEEE Trans. Big Data, 2019
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy.
Proc. VLDB Endow., 2019
Proc. VLDB Endow., 2019
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs.
CoRR, 2019
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proc. VLDB Endow., 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017
2016
Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016
2015
IEEE Trans. Parallel Distributed Syst., 2015
2014
Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
IEEE Data Eng. Bull., 2013
2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the Fifth International Workshop on Testing Database Systems, 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions.
Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012
Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
2010
Proceedings of the 26th International Conference on Data Engineering, 2010
2009
Proceedings of the Encyclopedia of Database Systems, 2009
2008
Proc. VLDB Endow., 2008
2007
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
2005
IEEE Data Eng. Bull., 2005
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005
2004
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004
Proceedings of the 20th International Conference on Data Engineering, 2004
2003
Proceedings of 29th International Conference on Very Large Data Bases, 2003
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003
Proceedings of the 7th International Database Engineering and Applications Symposium (IDEAS 2003), 2003
2002
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002