World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
12168
World Ranking
3468
National Ranking
1671

Research.com Recognitions

  • 2007 - IEEE Fellow For contributions to derived data management for reliable computing, web-based information systems, and transaction and query processing

Overview

Kun-Lung Wu is affiliated with IBM in the United States and has contributed to the field of computer science through multiple research publications. Their academic work primarily centers on topics including software engineering research, cloud computing and resource management, distributed systems and fault tolerance, as well as distributed and parallel computing systems.

They have published research in the venue arXiv (Cornell University) with two papers to date:

  • Granite Code Models: A Family of Open Foundation Models for Code Intelligence, 2024, arXiv (Cornell University)
  • A Cloud Native Platform for Stateful Streaming, 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Kun-Lung Wu include:

  • Mayank Mishra
  • Matt Stallone
  • Gaoyuan Zhang
  • Yikang Shen
  • Aditya Prasad

The main fields of study associated with their publications fall under computer science. Within this broad discipline, their work contributes specifically to subfields such as information systems and computer networks and communications.

Their research covers several main topics reflective of their areas of expertise:

  • Software engineering research
  • Cloud computing and resource management
  • Distributed systems and fault tolerance
  • Distributed and parallel computing systems

In 2007, Kun-Lung Wu was awarded IEEE Fellow status for their contributions to derived data management for reliable computing, web-based information systems, and transaction and query processing. This recognition indicates a significant involvement in systems that support data reliability and distributed information processing.

Best Publications

  • System and method of multiparty billing for web access

    James P. Crosskey;Mark Gee-Gwo Mei;Harish Ragavan;Kun-Lung Wu

  • Horting hatches an egg: a new graph-theoretic approach to collaborative filtering

    Charu C. Aggarwal;Joel L. Wolf;Kun-Lung Wu;Philip S. Yu

  • SPADE: the system s declarative stream processing engine

    Bugra Gedik;Henrique Andrade;Kun-Lung Wu;Philip S. Yu

  • Segment-based proxy caching of multimedia streams

    Kun-Lung Wu;Philip S. Yu;Joel L. Wolf

  • Load balancing cooperating cache servers by shifting forwarded request

    Kevin Michael Jordan;Kun-Lung Wu;Philip Shi-lung Yu

  • Elastic Scaling for Data Stream Processing

    Bugra Gedik;Scott Schneider;Martin Hirzel;Kun-Lung Wu

  • On real-time databases: concurrency control and scheduling

    P.S. Yu;Kun-Lung Wu;Kwei-Jay Lin;S.H. Son

  • SpeedTracer: a Web usage mining and analysis tool

    K.-L. Wu;P. S. Yu;A. Ballman

  • Streaming algorithms for k-core decomposition

    Ahmet Erdem Saríyüce;Buğra Gedik;Gabriela Jacques-Silva;Kun-Lung Wu

  • Efficient B-tree based indexing for cloud data processing

    Sai Wu;Dawei Jiang;Beng Chin Ooi;Kun-Lung Wu

  • Counting and sampling triangles from a graph stream

    A. Pavan;Kanat Tangwongsan;Srikanta Tirthapura;Kun-Lung Wu

  • FLEX: a slot allocation scheduling optimizer for MapReduce workloads

    Joel Wolf;Deepak Rajan;Kirsten Hildrum;Rohit Khandekar

  • SODA: an optimizing scheduler for large-scale stream-based distributed computer systems

    Joel Wolf;Nikhil Bansal;Kirsten Hildrum;Sujay Parekh

  • Elastic scaling of data parallel operators in stream processing

    Scott Schneider;Henrique Andrade;Bugra Gedik;Alain Biem

  • The CHAMPS system: change management with planning and scheduling

    A. Keller;J.L. Hellerstein;J.L. Wolf;K.-L. Wu

  • Recoverable distributed shared virtual memory

    K.-L. Wu;W.K. Fuchs

  • System and method for personalizing dialogue menu for an interactive voice response system

    Gee-Gwo Mei;Kun-Lung Wu;Philip Shi-lung Yu

  • Method and apparatus of a collaborative proxy system for distributed deployment of object rendering

    Yun-Wu Huang;Philip S.L. Yu;Kun-Lung Wu

  • IBM streams processing language: analyzing big data in motion

    M. Hirzel;H. Andrade;B. Gedik;G. Jacques-Silva

  • Optimizing index allocation for sequential data broadcasting in wireless mobile computing

    Ming-Syan Chen;Kun-Lung Wu;P.S. Yu

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Bugra Gedik
Bugra Gedik Royal Caribbean Cruises (United States)
Joel L. Wolf
Joel L. Wolf IBM (United States)
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Ling Liu
Ling Liu Georgia Institute of Technology
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Joseph L. Hellerstein
Joseph L. Hellerstein University of Washington
Calton Pu
Calton Pu Georgia Institute of Technology
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Nikhil Bansal
Nikhil Bansal University of Michigan–Ann Arbor

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