Yao Lu

Orcid: 0000-0002-6025-1878

Affiliations:
  • National University of Singapore, Singapore
  • Microsoft Research, Redmond, WA, USA (former)


According to our database1, Yao Lu authored at least 27 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing.
CoRR, July, 2025

Scalable Complex Event Processing on Video Streams.
Proc. ACM Manag. Data, June, 2025

OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing.
CoRR, March, 2025

Resource Multiplexing in Tuning and Serving Large Language Models.
Proceedings of the 2025 USENIX Annual Technical Conference, 2025

2024
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native.
CoRR, 2024

UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Deferred Continuous Batching in Resource-Efficient Large Language Model Serving.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

2022
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures.
Proc. VLDB Endow., 2022

Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation.
Proc. VLDB Endow., 2021

Q-error Bounds of Random Uniform Sampling for Cardinality Estimation.
CoRR, 2021

2020
Approximate Partition Selection for Big-Data Workloads using Summary Statistics.
Proc. VLDB Endow., 2020

2018
Crowd Counting with Density Adaption Networks.
CoRR, 2018

Interactive Demonstration of Probabilistic Predicates.
Proceedings of the 2018 International Conference on Management of Data, 2018

Accelerating Machine Learning Inference with Probabilistic Predicates.
Proceedings of the 2018 International Conference on Management of Data, 2018

Precise Temporal Action Localization by Evolving Temporal Proposals.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017
Evolving boxes for fast vehicle detection.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017


2016
Optasia: A Relational Platform for Efficient Large-Scale Video Analytics.
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2012
Learning attention map from images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Semantic context learning with large-scale weakly-labeled image set.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Automatic image annotation with weakly labeled dataset.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Correlative multi-label multi-instance image annotation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Salient Object Detection using concavity context.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Fudan University at TRECVID 2010 : Semantic Indexing.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010


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