Peking University

Overall Rank: 38 | 98.72%
Pagerank: 1.1721587
Paper Count: 158

Authors at This Institution

Listed authors are those whose most frequent affiliation is this institution.

Showing 50 of 144 authors.

Rank	Author	Pagerank	Papers
36	Bin Cui	0.63271572	82
225	Lei Zou	0.24312346	33
487	Tong Yang	0.1290762	18
689	Xupeng Miao	0.10031179	13
692	Xinyi Zhang	0.099912265	13
700	Fangcheng Fu	0.099357671	13
713	Wentao Zhang	0.097872109	14
749	Yang Li	0.09403099	12
1,009	Zhi Yang	0.072061593	9
1,045	Xiaonan Nie	0.06990963	9
1,188	Jun Gao	0.062748603	10
1,219	Hailin Zhang	0.061686657	8
1,411	Yu Shen	0.054334655	7
1,577	Dongyan Zhao	0.04992784	6
1,765	Yu Liu	0.04502775	6
1,904	Lele Yu	0.04290626	5
2,487	Junjie Yao	0.033653236	4
3,071	Yikai Zhao	0.02869653	4
3,099	Yue Pang	0.028569535	4
3,317	Xin Jin	0.026021323	3
3,406	Xiaoming Li	0.025104789	3
3,503	Yining Shi	0.024430815	3
3,912	Dongqing Yang	0.022443569	5
4,075	Yinda Zhang	0.021907783	3
4,103	Qizhi Chen	0.021852582	3
4,135	Yuanpeng Li	0.021759304	3
4,187	Zirui Liu	0.021636905	3
4,217	Qun Huang	0.021577569	3
4,281	Linglin Yang	0.021441845	3
4,449	Haoyang Li	0.02116935	3
4,450	Hao Ge	0.02116935	3
4,451	Sheng Lin	0.02116935	3
4,452	Xuanyu Wang	0.02116935	3
4,453	Jiawen Niu	0.02116935	3
4,637	Ning Xu	0.019191604	2
4,715	Long Yang	0.018451812	2
4,856	Yang Zhou	0.017594786	2
5,132	Jiazun Chen	0.016615428	2
5,403	Muhan Zhang	0.015833591	2
5,486	Tengjiao Wang	0.015715815	4
5,487	Jiashuai Zhou	0.015715815	2
5,522	Zheng Zhong	0.015666677	2
5,553	Yexin Wang	0.015611676	2
5,582	Tianyi Chen	0.015578798	2
5,593	Shiyue Huang	0.015556502	2
5,603	Xiaogang Shi	0.015539432	2
5,742	Zhipeng Zhang	0.01537359	2
5,800	Chen Chen	0.015280124	2
5,909	Yanxiang Huang	0.01511677	2
5,989	Yujie Wang	0.015003705	2

Papers with at Least One Affiliated Author

Showing 50 of 158 papers, sorted by pagerank.

Rank	Paper	Year	Venue	Pagerank
78	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036684414
947	Parallelizing Sequential Graph Computations	2017	SIGMOD	0.00012914714
982	Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation	2022	VLDB	0.00012714044
1,046	Parallel Subgraph Listing in a Large-Scale Graph	2014	SIGMOD	0.00012319866
1,137	Large Graph Processing in the Cloud	2010	SIGMOD	0.00011870544
1,772	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	9.6792287e-05
1,804	gStore: Answering SPARQL Queries via Subgraph Matching	2011	VLDB	9.6025094e-05
1,864	Efficient SimRank-based Similarity Join Over Large Graphs	2013	VLDB	9.4824224e-05
1,970	Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing	2018	SIGMOD	9.2902522e-05
2,004	FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation	2021	VLDB	9.2065719e-05
2,007	VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	2021	SIGMOD	9.198944e-05
2,019	Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions	2018	SIGMOD	9.1750421e-05
2,184	Heterogeneity-aware Distributed Parameter Servers	2017	SIGMOD	8.8958335e-05
2,441	ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network	2021	VLDB	8.4621326e-05
2,519	HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework	2022	VLDB	8.3521095e-05
2,596	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD	8.2419456e-05
2,669	Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges	2021	SIGMOD	8.1531412e-05
2,720	ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases	2021	SIGMOD	8.0966919e-05
2,723	Exploiting Matrix Dependency for Efficient Distributed Matrix Computation	2015	SIGMOD	8.0944934e-05
2,772	Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation	2022	VLDB	8.035288e-05
3,311	BlindFL: Vertical Federated Machine Learning without Peeking into Your Data	2022	SIGMOD	7.4392547e-05
3,314	Accelerating Triangle Counting on GPU	2021	SIGMOD	7.4380767e-05
3,331	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition	2021	VLDB	7.4166095e-05
3,450	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud	2023	VLDB	7.2921762e-05
3,487	LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans	2023	VLDB	7.263041e-05
3,524	MLog: Towards Declarative In-Database Machine Learning	2017	VLDB	7.2337006e-05
3,671	Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines	2020	VLDB	7.1100217e-05
3,872	SketchML: Accelerating Distributed Machine Learning with Data Sketches	2018	SIGMOD	6.9540368e-05
3,899	Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization	2021	VLDB	6.9358695e-05
3,980	BurstSketch: Finding Bursts in Data Streams	2021	SIGMOD	6.8788724e-05
4,079	Towards Dynamic and Safe Configuration Tuning for Cloud Databases	2022	SIGMOD	6.818264e-05
4,080	Natural Language Question Answering over RDF — A Graph Data Driven Approach	2014	SIGMOD	6.8181487e-05
4,303	An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs	2015	VLDB	6.6772109e-05
4,350	Mining Top-K Large Structural Patterns in a Massive Network	2011	VLDB	6.645396e-05
4,356	Challenging the Long Tail Recommendation	2012	VLDB	6.6409244e-05
4,375	DILI: A Distribution-Driven Learned Index	2023	VLDB	6.6292167e-05
4,498	PQCache: Product Quantization-based KVCache for Long Context LLM Inference	2025	SIGMOD	6.5762771e-05
4,542	LogGP: A Log-based Dynamic Graph Partitioning Method	2014	VLDB	6.5482322e-05
4,622	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning	2022	VLDB	6.4982876e-05
4,626	TencentRec: Real-time Stream Recommendation in Practice	2015	SIGMOD	6.4968757e-05
4,755	Efficient Cohesive Subgraphs Detection in Parallel	2014	SIGMOD	6.4323525e-05
4,777	Tornado: A System For Real-Time Iterative Analysis Over Evolving Data	2016	SIGMOD	6.4184698e-05
4,945	HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training	2022	SIGMOD	6.3435891e-05
4,963	Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce	2021	SIGMOD	6.3384091e-05
4,979	Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams	2017	VLDB	6.3300966e-05
5,009	Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism	2023	VLDB	6.3158866e-05
5,017	Privacy Preserving Subgraph Matching on Large Graphs in Cloud	2016	SIGMOD	6.3125608e-05
5,077	DBPA: A Benchmark for Transactional Database Performance Anomalies	2023	SIGMOD	6.2858696e-05
5,101	Relational Approach for Shortest Path Discovery over Large Graphs	2012	VLDB	6.2732849e-05
5,286	An Efficient Transfer Learning Based Configuration Adviser for Database Tuning	2024	VLDB	6.1971399e-05