Yao Lu

According to our database, Yao Lu authored at least 40 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward.

Mustafa Anis Hussain, Xinle Wu, Yao Lu

CoRR, May, 2026

Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective.

Noppanat Wadlom, Junyi Shen, Yao Lu

CoRR, March, 2026

Portfolio Reinforcement Learning with Scenario-Context Rollout.

Vanya Priscillia Bendatu, Yao Lu

CoRR, February, 2026

Towards Autonomous Memory Agents.

Xinle Wu, Rui Zhang, Mustafa Anis Hussain, Yao Lu

CoRR, February, 2026

2025

FlowMesh: A Service Fabric for Composable LLM Workflows.

Junyi Shen, Noppanat Wadlom, Lingfeng Zhou, Dequan Wang, Xu Miao, Lei Fang, Yao Lu

CoRR, October, 2025

Reward Model Routing in Alignment.

Xinle Wu, Yao Lu

CoRR, October, 2025

Batch Query Processing and Optimization for Agentic Workflows.

Junyi Shen, Noppanat Wadlom, Yao Lu

CoRR, September, 2025

TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing.

Pramod Chunduri, Yao Lu, Joy Arulraj

CoRR, July, 2025

Scalable Complex Event Processing on Video Streams.

Chenxia Han, Chaokun Chang, Srijan Srivastava, Yao Lu, Eric Lo

Proc. ACM Manag. Data, June, 2025

Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism.

Yuhao Shen, Junyi Shen, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang

CoRR, June, 2025

OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing.

Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang

CoRR, March, 2025

Resource Multiplexing in Tuning and Serving Large Language Models.

Yongjun He, Haofeng Yang, Yao Lu, Ana Klimovic, Gustavo Alonso

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering.

Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

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

Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo

CoRR, 2024

UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis.

Yulong Hui, Yao Lu, Huanchen Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Deferred Continuous Batching in Resource-Efficient Large Language Model Serving.

Yongjun He, Yao Lu, Gustavo Alonso

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

EVA: An End-to-End Exploratory Video Analytics System.

Gaurav Tarlok Kakkar, Jiashen Cao, Pramod Chunduri, Zhuangdi Xu, Suryatej Reddy Vyalla, Prashanth Dintyala, Anirudh Prabakaran, Jaeho Bang, Aubhro Sengupta, Kaushik Ravichandran, Ishwarya Sivakumar, Aryan Rajoria, Ashmita Raju, Tushar Aggarwal, Abdullah Shah, Sanjana Garg, Shashank Suman, Myna Prasanna Kalluraya, Subrata Mitra, Ali Payani, Yao Lu, Umakishore Ramachandran, Joy Arulraj

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

Optimizing Machine Learning Inference Queries with Correlative Proxy Models.

Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang

Proc. VLDB Endow., 2022

Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models.

Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang

Proc. VLDB Endow., 2022

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures.

Yongji Wu, Matthew Lentz, Danyang Zhuo, Yao Lu

Proc. VLDB Endow., 2022

Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts.

Beibin Li, Yao Lu, Srikanth Kandula

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.

Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj

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.

Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri

Proc. VLDB Endow., 2021

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

Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula

CoRR, 2021

2020

Approximate Partition Selection for Big-Data Workloads using Summary Statistics.

Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis

Proc. VLDB Endow., 2020

2018

Crowd Counting with Density Adaption Networks.

Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng

CoRR, 2018

Interactive Demonstration of Probabilistic Predicates.

Yao Lu, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the 2018 International Conference on Management of Data, 2018

Accelerating Machine Learning Inference with Probabilistic Predicates.

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri

Proceedings of the 2018 International Conference on Management of Data, 2018

Precise Temporal Action Localization by Evolving Temporal Proposals.

Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017

Evolving boxes for fast vehicle detection.

Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring.

Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

Closing the Loop for Edge Detection and Object Proposals.

Yao Lu, Linda G. Shapiro

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Coherent Parametric Contours for Interactive Video Object Segmentation.

Yao Lu, Xue Bai, Linda G. Shapiro, Jue Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Optasia: A Relational Platform for Efficient Large-Scale Video Analytics.

Yao Lu, Aakanksha Chowdhery, Srikanth Kandula

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2012

Learning attention map from images.

Yao Lu, Wei Zhang, Cheng Jin, Xiangyang Xue

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Semantic context learning with large-scale weakly-labeled image set.

Yao Lu, Wei Zhang, Ke Zhang, Xiangyang Xue

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Automatic image annotation with weakly labeled dataset.

Wei Zhang, Yao Lu, Xiangyang Xue, Jianping Fan

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Correlative multi-label multi-instance image annotation.

Xiangyang Xue, Wei Zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu

Proceedings of the IEEE International Conference on Computer Vision, 2011

Salient Object Detection using concavity context.

Yao Lu, Wei Zhang, Hong Lu, Xiangyang Xue

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Fudan University at TRECVID 2010 : Semantic Indexing.

Xiangyang Xue, Hong Lu, Renzhong Wei, Lei Cen, Yao Lu, Yingbin Zheng

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010