Yao Lu - RankMe

46 papers A* 7A 2B 2Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective. CoRR Noppanat Wadlom, Junyi Shen, Yao Lu
2026	J	`jnl`	Portfolio Reinforcement Learning with Scenario-Context Rollout. CoRR Vanya Priscillia Bendatu, Yao Lu
2026	J	`jnl`	Towards Autonomous Memory Agents. CoRR Xinle Wu, Rui Zhang, Mustafa Anis Hussain, Yao Lu
2025	J	`jnl`	Batch Query Processing and Optimization for Agentic Workflows. CoRR Junyi Shen, Noppanat Wadlom, Yao Lu
2025	J	`jnl`	FlowMesh: A Service Fabric for Composable LLM Workflows. CoRR Junyi Shen, Noppanat Wadlom, Lingfeng Zhou, Dequan Wang, Xu Miao, Lei Fang, Yao Lu
2025	J	`jnl`	OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing. CoRR Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang
2025	—	`conf`	OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering. EMNLP (Findings) Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang
2025	—	`conf`	Resource Multiplexing in Tuning and Serving Large Language Models. USENIX ATC Yongjun He, HaoFeng Yang, Yao Lu, Ana Klimovic, Gustavo Alonso
2025	J	`jnl`	Reward Model Routing in Alignment. CoRR Xinle Wu, Yao Lu
2025	J	`jnl`	Scalable Complex Event Processing on Video Streams. Proc. ACM Manag. Data Chenxia Han, Chaokun Chang, Srijan Srivastava, Yao Lu, Eric Lo
2025	J	`jnl`	Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism. CoRR Yuhao Shen, Junyi Shen, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang
2025	J	`jnl`	TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing. CoRR Pramod Chunduri, Yao Lu, Joy Arulraj
2024	J	`jnl`	Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. CoRR 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
2024	—	`conf`	Deferred Continuous Batching in Resource-Efficient Large Language Model Serving. EuroMLSys@EuroSys Yongjun He, Yao Lu, Gustavo Alonso
2024	A*	`conf`	UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis. NeurIPS Yulong Hui, Yao Lu, Huanchen Zhang
2024	J	`jnl`	UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis. CoRR Yulong Hui, Yao Lu, Huanchen Zhang
2023	—	`conf`	EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD 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
2022	J	`jnl`	Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models. Proc. VLDB Endow. Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang
2022	J	`jnl`	Optimizing Machine Learning Inference Queries with Correlative Proxy Models. CoRR Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
2022	J	`jnl`	Optimizing Machine Learning Inference Queries with Correlative Proxy Models. Proc. VLDB Endow. Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
2022	J	`jnl`	Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures. CoRR Yongji Wu, Matthew Lentz, Danyang Zhuo, Yao Lu
2022	J	`jnl`	Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures. Proc. VLDB Endow. Yongji Wu, Matthew Lentz, Danyang Zhuo, Yao Lu
2022	—	`conf`	Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts. SIGMOD Conference Beibin Li, Yao Lu, Srikanth Kandula
2022	—	`conf`	Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. SIGMOD Conference Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
2021	J	`jnl`	Pre-training Summarization Models of Structured Datasets for Cardinality Estimation. Proc. VLDB Endow. Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
2021	J	`jnl`	Q-error Bounds of Random Uniform Sampling for Cardinality Estimation. CoRR Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
2021	J	`jnl`	Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. CoRR Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
2020	J	`jnl`	Approximate Partition Selection for Big-Data Workloads using Summary Statistics. CoRR Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis
2020	J	`jnl`	Approximate Partition Selection for Big-Data Workloads using Summary Statistics. Proc. VLDB Endow. Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis
2018	—	`conf`	Accelerating Machine Learning Inference with Probabilistic Predicates. SIGMOD Conference Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
2018	J	`jnl`	Crowd Counting with Density Adaption Networks. CoRR Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng
2018	—	`conf`	Interactive Demonstration of Probabilistic Predicates. SIGMOD Conference Yao Lu, Srikanth Kandula, Surajit Chaudhuri
2018	B	`conf`	Precise Temporal Action Localization by Evolving Temporal Proposals. ICMR Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He
2018	J	`jnl`	Precise Temporal Action Localization by Evolving Temporal Proposals. CoRR Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He
2017	A*	`conf`	Closing the Loop for Edge Detection and Object Proposals. AAAI Yao Lu, Linda G. Shapiro
2017	J	`jnl`	Evolving Boxes for fast Vehicle Detection. CoRR Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue
2017	A	`conf`	Evolving boxes for fast vehicle detection. ICME Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue
2017	B	`conf`	UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 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
2016	A*	`conf`	Coherent Parametric Contours for Interactive Video Object Segmentation. CVPR Yao Lu, Xue Bai, Linda G. Shapiro, Jue Wang
2016	—	`conf`	Optasia: A Relational Platform for Efficient Large-Scale Video Analytics. SoCC Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
2012	A*	`conf`	Learning attention map from images. CVPR Yao Lu, Wei Zhang, Cheng Jin, Xiangyang Xue
2012	A	`conf`	Semantic context learning with large-scale weakly-labeled image set. CIKM Yao Lu, Wei Zhang, Ke Zhang, Xiangyang Xue
2011	A*	`conf`	Automatic image annotation with weakly labeled dataset. ACM Multimedia Wei Zhang, Yao Lu, Xiangyang Xue, Jianping Fan
2011	A*	`conf`	Correlative multi-label multi-instance image annotation. ICCV Xiangyang Xue, Wei Zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu
2011	A*	`conf`	Salient Object Detection using concavity context. ICCV Yao Lu, Wei Zhang, Hong Lu, Xiangyang Xue
2010	—	`conf`	Fudan University at TRECVID 2010 : Semantic Indexing. TRECVID Xiangyang Xue, Hong Lu, Renzhong Wei, Lei Cen, Yao Lu, Yingbin Zheng