Kun-Lung Wu

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 23

Top Venues

Publications

Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Fuat Basik, Bugra Gedik, Hakan Ferhatosmanoglu, Kun-Lung Wu
Fair Task Allocation in Crowdsourced Delivery. IEEE Trans. Serv. Comput. 14 (4) (2021)
Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. AAAI (2020)
Scott Schneider, Xavier Guerin, Shaohan Hu, Kun-Lung Wu
A Cloud Native Platform for Stateful Streaming. CoRR (2020)
John P. Dickerson, Karthik Abinav Sankararaman, Kanthi Kiran Sarpatwar, Aravind Srinivasan, Kun-Lung Wu, Pan Xu
Online Resource Allocation with Matching Constraints. AAMAS (2019)
Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu
Automating Multi-level Performance Elastic Components for IBM Streams. Middleware (2019)
Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. CoRR (2019)
Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu
Automated multi-dimensional elasticity for streaming runtimes: poster. PPoPP (2019)
Shen Li, Paul Gerver, John Macmillan, Daniel Debrunner, William Marshall, Kun-Lung Wu
Challenges and Experiences in Building an Efficient Apache Beam Runner For IBM Streams. Proc. VLDB Endow. 11 (12) (2018)
Natcha Simsiri, Kanat Tangwongsan, Srikanta Tirthapura, Kun-Lung Wu
Work-efficient parallel union-find. Concurr. Comput. Pract. Exp. 30 (4) (2018)
Fuat Basik, Bugra Gedik, Hakan Ferhatosmanoglu, Kun-Lung Wu
Fair Task Allocation in Crowdsourced Delivery. CoRR (2018)
Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, Liting Hu
GOVERNOR: Smoother Stream Processing Through Smarter Backpressure. ICAC (2017)
Pan Xu, Aravind Srinivasan, Kanthi K. Sarpatwar, Kun-Lung Wu
Budgeted Online Assignment in Crowdsourcing Markets: Theory and Practice. AAMAS (2017)
Scott Schneider, Kun-Lung Wu
Low-synchronization, mostly lock-free, elastic scheduling for streaming runtimes. PLDI (2017)
Ahmet Erdem Sariyüce, Bugra Gedik, Gabriela Jacques-Silva, Kun-Lung Wu, Ümit V. Çatalyürek
SONIC: streaming overlapping community detection. Data Min. Knowl. Discov. 30 (4) (2016)
Ahmet Erdem Sariyüce, Bugra Gedik, Gabriela Jacques-Silva, Kun-Lung Wu, Ümit V. Çatalyürek
Incremental k-core decomposition: algorithms and evaluation. VLDB J. 25 (3) (2016)
Gabriela Jacques da Silva, Fang Zheng, Daniel Debrunner, Kun-Lung Wu, Victor Dogaru, Eric Johnson, Michael Spicer, Ahmet Erdem Sariyüce
Consistent Regions: Guaranteed Tuple Processing in IBM Streams. Proc. VLDB Endow. 9 (13) (2016)
Natcha Simsiri, Kanat Tangwongsan, Srikanta Tirthapura, Kun-Lung Wu
Work-Efficient Parallel Union-Find with Applications to Incremental Graph Connectivity. Euro-Par (2016)
Natcha Simsiri, Kanat Tangwongsan, Srikanta Tirthapura, Kun-Lung Wu
Work-Efficient Parallel and Incremental Graph Connectivity. CoRR (2016)
Scott Schneider, Joel L. Wolf, Kirsten Hildrum, Rohit Khandekar, Kun-Lung Wu
Dynamic Load Balancing for Ordered Data-Parallel Regions in Distributed Streaming Systems. Middleware (2016)
Kanat Tangwongsan, Martin Hirzel, Scott Schneider, Kun-Lung Wu
General Incremental Sliding-Window Aggregation. Proc. VLDB Endow. 8 (7) (2015)
Scott Schneider, Martin Hirzel, Bugra Gedik, Kun-Lung Wu
Safe Data Parallelism for General Streaming. IEEE Trans. Computers 64 (2) (2015)
Michele Dallachiesa, Gabriela Jacques-Silva, Bugra Gedik, Kun-Lung Wu, Themis Palpanas
Sliding windows over uncertain data streams. Knowl. Inf. Syst. 45 (1) (2015)
Bugra Gedik, Scott Schneider, Martin Hirzel, Kun-Lung Wu
Elastic Scaling for Data Stream Processing. IEEE Trans. Parallel Distributed Syst. 25 (6) (2014)
Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu
Fast Nearest Neighbor Search on Large Time-Evolving Graphs. ECML/PKDD (1) (2014)
Kanat Tangwongsan, Srikanta Tirthapura, Kun-Lung Wu
Parallel streaming frequency-based aggregates. SPAA (2014)
Bhuvan Bamba, Kun-Lung Wu, Bugra Gedik, Ling Liu
SLIM: A Scalable Location-Sensitive Information Monitoring Service. ICWS (2013)
Zhihong Xu, Martin Hirzel, Gregg Rothermel, Kun-Lung Wu
Testing properties of dataflow program operators. ASE (2013)
Martin Hirzel, Henrique Andrade, Bugra Gedik, Gabriela Jacques-Silva, Rohit Khandekar, Vibhore Kumar, Mark P. Mendell, Howard Nasgaard, Scott Schneider, Robert Soulé, Kun-Lung Wu
IBM Streams Processing Language: Analyzing Big Data in motion. IBM J. Res. Dev. 57 (3/4) (2013)
Ahmet Erdem Sariyüce, Bugra Gedik, Gabriela Jacques-Silva, Kun-Lung Wu, Ümit V. Çatalyürek
Streaming Algorithms for k-core Decomposition. Proc. VLDB Endow. 6 (6) (2013)
Mindi Yuan, Kun-Lung Wu, Gabriela Jacques-Silva, Yi Lu
Efficient processing of streaming graphs for evolution-aware clustering. CIKM (2013)
A. Pavan, Kanat Tangwongsan, Srikanta Tirthapura, Kun-Lung Wu
Counting and Sampling Triangles from a Graph Stream. Proc. VLDB Endow. 6 (14) (2013)
Scott Schneider, Martin Hirzel, Bugra Gedik, Kun-Lung Wu
Auto-parallelizing stateful distributed streaming applications. PACT (2012)
Joel L. Wolf, Andrey Balmin, Deepak Rajan, Kirsten Hildrum, Rohit Khandekar, Sujay Parekh, Kun-Lung Wu, Rares Vernica
On the optimization of schedules for MapReduce workloads in the presence of shared scans. VLDB J. 21 (5) (2012)
Sai Wu, Vibhore Kumar, Kun-Lung Wu, Beng Chin Ooi
Parallelizing stateful operators in a distributed stream processing system: how, should you and how much? DEBS (2012)
Ahmed Eldawy, Rohit Khandekar, Kun-Lung Wu
Clustering Streaming Graphs. ICDCS (2012)
Jae-Ho Choi, Kyu-Sun Shim, SangKeun Lee, Kun-Lung Wu
Handling Selfishness in Replica Allocation over a Mobile Ad Hoc Network. IEEE Trans. Mob. Comput. 11 (2) (2012)
Joel L. Wolf, Andrey Balmin, Deepak Rajan, Kirsten Hildrum, Rohit Khandekar, Sujay Parekh, Kun-Lung Wu, Rares Vernica
CIRCUMFLEX: a scheduling optimizer for MapReduce workloads with shared scans. ACM SIGOPS Oper. Syst. Rev. 46 (1) (2012)
SangKeun Lee, Byung-Gul Ryu, Kun-Lung Wu
Examining the impact of data-access cost on XML twig pattern matching. Inf. Sci. 203 (2012)
Gabriela Jacques-Silva, Bugra Gedik, Rohit Wagle, Kun-Lung Wu, Vibhore Kumar
Building User-defined Runtime Adaptation Routines for Stream Processing Applications. Proc. VLDB Endow. 5 (12) (2012)
Giuliano Losa, Vibhore Kumar, Henrique Andrade, Bugra Gedik, Martin Hirzel, Robert Soulé, Kun-Lung Wu
CAPSULE: language and system support for efficient state sharing in distributed stream processing systems. DEBS (2012)
Gabriela Jacques-Silva, Bugra Gedik, Rohit Wagle, Kun-Lung Wu, Vibhore Kumar
Building User-defined Runtime Adaptation Routines for Stream Processing Applications CoRR (2012)
Gabriela Jacques-Silva, Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Ravishankar K. Iyer
Fault injection-based assessment of partial fault tolerance in stream processing applications. DEBS (2011)
Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Philip S. Yu
Processing high data rate streams in System S. J. Parallel Distributed Comput. 71 (2) (2011)
Bugra Gedik, Kun-Lung Wu, Ling Liu, Philip S. Yu
Load Shedding in Mobile Systems with MobiQual. IEEE Trans. Knowl. Data Eng. 23 (2) (2011)
Gabriela Jacques-Silva, Zbigniew Kalbarczyk, Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Ravishankar K. Iyer
Modeling stream processing applications for dependability evaluation. DSN (2011)
Xiaolan Joy Zhang, Sujay Parekh, Bugra Gedik, Henrique Andrade, Kun-Lung Wu
Workload characterization for operator-based distributed stream processing applications. DEBS (2010)
Qiong Zou, Huayong Wang, Robert Soulé, Martin Hirzel, Henrique Andrade, Bugra Gedik, Kun-Lung Wu
From a Stream of Relational Queries to Distributed Stream Processing. Proc. VLDB Endow. 3 (2) (2010)
Joel L. Wolf, Deepak Rajan, Kirsten Hildrum, Rohit Khandekar, Vibhore Kumar, Sujay Parekh, Kun-Lung Wu, Andrey Balmin
FLEX: A Slot Allocation Scheduling Optimizer for MapReduce Workloads. Middleware (2010)
Vibhore Kumar, Henrique Andrade, Bugra Gedik, Kun-Lung Wu
DEDUCE: at the intersection of MapReduce and stream processing. EDBT (2010)
Arijit Khan, Xifeng Yan, Kun-Lung Wu
Towards proximity pattern mining in large graphs. SIGMOD Conference (2010)
Sai Wu, Dawei Jiang, Beng Chin Ooi, Kun-Lung Wu
Efficient B-tree Based Indexing for Cloud Data Processing. Proc. VLDB Endow. 3 (1) (2010)
Robert Soulé, Martin Hirzel, Robert Grimm, Bugra Gedik, Henrique Andrade, Vibhore Kumar, Kun-Lung Wu
A Universal Calculus for Stream Processing Languages. ESOP (2010)
Scott Schneider, Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Dimitrios S. Nikolopoulos
Evaluation of streaming aggregation on parallel hardware architectures. DEBS (2010)
Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Philip S. Yu
Scale-Up Strategies for Processing High-Rate Data Streams in System S. ICDE (2009)
Huayong Wang, Henrique Andrade, Bugra Gedik, Kun-Lung Wu
A Code Generation Approach for Auto-Vectorization in the Spade Compiler. LCPC (2009)
Bugra Gedik, Henrique Andrade, Kun-Lung Wu
A code generation approach to optimizing high-performance distributed data stream processing. CIKM (2009)
Scott Schneider, Henrique Andrade, Bugra Gedik, Alain Biem, Kun-Lung Wu
Elastic scaling of data parallel operators in stream processing. IPDPS (2009)
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Joel L. Wolf, Kun-Lung Wu, Henrique Andrade, Bugra Gedik
COLA: Optimizing Stream Processing Applications via Graph Partitioning. Middleware (2009)
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. EDBT (2009)
Sujay Parekh, Kirsten Hildrum, Deepak Rajan, Joel L. Wolf, Kun-Lung Wu
Characterizing, constructing and managing resource usage profiles of system S applications: challenges and experience. CIKM (2009)
Gang Luo, Kun-Lung Wu, Philip S. Yu
Answering linear optimization queries with an approximate stream index. Knowl. Inf. Syst. 20 (1) (2009)
Huayong Wang, Henrique Andrade, Bugra Gedik, Kun-Lung Wu
Auto-vectorization through code generation for stream processing applications. ICS (2009)
Sai Wu, Kun-Lung Wu
An Indexing Framework for Efficient Retrieval on the Cloud. IEEE Data Eng. Bull. 32 (1) (2009)
Joel L. Wolf, Nikhil Bansal, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Rohit Wagle, Kun-Lung Wu
Job Admission and Resource Allocation in Distributed Streaming Systems. JSSPP (2009)
Gabriela Jacques-Silva, Bugra Gedik, Henrique Andrade, Kun-Lung Wu
Language level checkpointing support for stream processing applications. DSN (2009)
Bugra Gedik, Henrique Andrade, Andy Frenkiel, Wim De Pauw, Michael Pfeifer, Paul Allen, Norman Cohen, Kun-Lung Wu
Tools and strategies for debugging distributed stream processing applications. Softw. Pract. Exp. 39 (16) (2009)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu
Efficient Construction of Compact Shedding Filters for Data Stream Processing. ICDE (2008)
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Correlating burst events on streaming stock market data. Data Min. Knowl. Discov. 16 (1) (2008)
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip S. Yu, Myungcheol Doo
SPADE: the system s declarative stream processing engine. SIGMOD Conference (2008)
Joel L. Wolf, Nikhil Bansal, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Rohit Wagle, Kun-Lung Wu, Lisa Fleischer
SODA: An Optimizing Scheduler for Large-Scale Stream-Based Distributed Computer Systems. Middleware (2008)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
MobiQual: QoS-aware Load Shedding in Mobile CQ Systems. ICDE (2008)
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
NN queries over distributed streams. Proc. VLDB Endow. 1 (1) (2008)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
CPU load shedding for binary stream joins. Knowl. Inf. Syst. 13 (3) (2007)
Bugra Gedik, Ling Liu, Kun-Lung Wu, Philip S. Yu
Lira: Lightweight, Region-aware Load Shedding in Mobile CQ Systems. ICDE (2007)
Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB (2007)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins. ICDE (2007)
Gang Luo, Kun-Lung Wu, Philip S. Yu
SAO: A Stream Index for Answering Linear Optimization Queries. ICDE (2007)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
GrubJoin: An Adaptive, Multi-Way, Windowed Stream Join with Time Correlation-Aware CPU Load Shedding. IEEE Trans. Knowl. Data Eng. 19 (10) (2007)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Incremental Processing of Continual Range Queries over Moving Objects. IEEE Trans. Knowl. Data Eng. 18 (11) (2006)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
Processing Moving Queries over Moving Objects Using Motion-Adaptive Indexes. IEEE Trans. Knowl. Data Eng. 18 (5) (2006)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Query indexing with containment-encoded intervals for efficient stream processing. Knowl. Inf. Syst. 9 (1) (2006)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
On-Demand Index for Efficient Structural Joins. WAIM (2006)
Shyh-Kwei Chen, Ming-Ling Lo, Kun-Lung Wu, Jih-Shyr Yih, Colleen Viehrig
A practical approach to extracting DTD-conforming XML documents from heterogeneous data sources. Inf. Sci. 176 (7) (2006)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
On Range Query Indexing for Efficient Stream Processing. SUTC (1) (2006)
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Fast Burst Correlation of Financial Data. PKDD (2005)
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
Adaptive load shedding for windowed stream joins. CIKM (2005)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
On Incremental Processing of Continual Range Queries for Location-Aware Services and Applications. MobiQuitous (2005)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Efficient Processing of Continual Range Queries for Location-Aware Mobile Services. Inf. Syst. Frontiers 7 (4-5) (2005)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Efficient structural joins with on-the-fly indexing. WWW (Special interest tracks and posters) (2005)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Processing Continual Range Queries over Moving Objects Using VCR-Based Query Indexes. MobiQuitous (2004)
Kun-Lung Wu, Philip S. Yu, Joel L. Wolf
Segmentation of multimedia streams for proxy caching. IEEE Trans. Multim. 6 (5) (2004)
Philip S. Yu, Kun-Lung Wu, Shyh-Kwei Chen
Monitoring Continual Range Queries. APWeb (2004)
Shyh-Kwei Chen, Kun-Lung Wu, Jih-Shyr Yih
Decoupled common annotations for reusing XML document composition logic. IASTED Conf. on Software Engineering and Applications (2004)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Indexing Continual Range Queries for Location-Aware Mobile Services. EEE (2004)
Alexander Keller, Joseph L. Hellerstein, Joel L. Wolf, Kun-Lung Wu, Vijaya Krishnan
The CHAMPS system: change management with planning and scheduling. NOMS (1) (2004)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Interval query indexing for efficient stream processing. CIKM (2004)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Indexing Continual Range Queries with Covering Tiles for Fast Locating of Moving Objects. ICDCS Workshops (2004)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
VCR indexing for fast event matching for highly-overlapping range predicates. SAC (2004)
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Shingle-Based Query Indexing for Location-Based Mobile E-Commerce. CEC (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kun-Lung Wu