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Sungjin Im
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- affiliation: University of California at Merced, CA, USA
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2020 – today
- 2024
- [c77]Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Sampling for Beyond-Worst-Case Online Ranking. AAAI 2024: 20649-20656 - [c76]Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs:
On the Convergence Rate of Linear Datalog ^∘ over Stable Semirings. ICDT 2024: 11:1-11:20 - [c75]Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Controlling Tail Risk in Online Ski-Rental. SODA 2024: 4247-4263 - [c74]Sungjin Im, Ravi Kumar, Shi Li, Aditya Petety, Manish Purohit:
Online Load and Graph Balancing for Random Order Inputs. SPAA 2024: 491-497 - [c73]Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar:
Data Exchange Markets via Utility Balancing. WWW 2024: 57-65 - [i34]Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar:
Data Exchange Markets via Utility Balancing. CoRR abs/2401.13053 (2024) - [i33]Sungjin Im, Ravi Kumar, Shi Li, Aditya Petety, Manish Purohit:
Online Load and Graph Balancing for Random Order Inputs. CoRR abs/2405.07949 (2024) - [i32]Qingyun Chen, Sungjin Im, Aditya Petety:
Online Scheduling via Gradient Descent for Weighted Flow Time Minimization. CoRR abs/2409.03020 (2024) - 2023
- [j22]Sungjin Im, Ravi Kumar, Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii:
Massively Parallel Computation: Algorithms and Applications. Found. Trends Optim. 5(4): 340-417 (2023) - [j21]Sungjin Im, Ravi Kumar, Mahshid Montazer Qaem, Manish Purohit:
Non-clairvoyant Scheduling with Predictions. ACM Trans. Parallel Comput. 10(4): 19:1-19:26 (2023) - [c72]Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Min-Max Submodular Ranking for Multiple Agents. AAAI 2023: 7061-7068 - [c71]Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Online Dynamic Acknowledgement with Learned Predictions. INFOCOM 2023: 1-10 - [c70]Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala:
Online Learning and Bandits with Queried Hints. ITCS 2023: 16:1-16:24 - [c69]Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms. ECML/PKDD (4) 2023: 333-348 - [c68]Sungjin Im, Shi Li:
Improved Approximations for Unrelated Machine Scheduling. SODA 2023: 2917-2946 - [i31]Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Online Dynamic Acknowledgement with Learned Predictions. CoRR abs/2305.18227 (2023) - [i30]Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Controlling Tail Risk in Online Ski-Rental. CoRR abs/2308.05067 (2023) - [i29]Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs:
On the Convergence Rate of Linear Datalogo over Stable Semirings. CoRR abs/2311.17664 (2023) - [i28]Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs:
Polynomial Time Convergence of the Iterative Evaluation of Datalogo Programs. CoRR abs/2312.14063 (2023) - 2022
- [c67]Sungjin Im, Ravi Kumar, Aditya Petety, Manish Purohit:
Parsimonious Learning-Augmented Caching. ICML 2022: 9588-9601 - [c66]Sungjin Im:
Non-clairvoyant Scheduling with Predictions. ISAIM 2022 - [c65]Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Algorithms with Prediction Portfolios. NeurIPS 2022 - [i27]Sungjin Im, Ravi Kumar, Aditya Petety, Manish Purohit:
Parsimonious Learning-Augmented Caching. CoRR abs/2202.04262 (2022) - [i26]Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Algorithms with Prediction Portfolios. CoRR abs/2210.12438 (2022) - [i25]Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala:
Online Learning and Bandits with Queried Hints. CoRR abs/2211.02703 (2022) - [i24]Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian:
Optimizing Polymatroid Functions. CoRR abs/2211.08381 (2022) - [i23]Sungjin Im, Shi Li:
Improved Approximations for Unrelated Machine Scheduling. CoRR abs/2211.10398 (2022) - [i22]Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Min-max Submodular Ranking for Multiple Agents. CoRR abs/2212.07682 (2022) - 2021
- [j20]Sungjin Im, Benjamin Moseley, Kirk Pruhs:
The matroid intersection cover problem. Oper. Res. Lett. 49(1): 17-22 (2021) - [j19]Sungjin Im, Benjamin Moseley, Rudy Zhou:
The Matroid Cup Game. Oper. Res. Lett. 49(3): 405-411 (2021) - [c64]Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
Approximate Aggregate Queries Under Additive Inequalities. APOCS 2021: 85-99 - [c63]Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
A Relational Gradient Descent Algorithm For Support Vector Machine Training. APOCS 2021: 100-113 - [c62]Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
Instance Optimal Join Size Estimation. LAGOS 2021: 135-144 - [c61]Mahmoud Abo Khamis, Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian:
An Approximation Algorithm for the Matrix Tree Multiplication Problem. MFCS 2021: 6:1-6:14 - [c60]Sungjin Im, Ravi Kumar, Mahshid Montazer Qaem, Manish Purohit:
Online Knapsack with Frequency Predictions. NeurIPS 2021: 2733-2743 - [c59]Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Faster Matchings via Learned Duals. NeurIPS 2021: 10393-10406 - [c58]Sungjin Im, Ravi Kumar, Mahshid Montazer Qaem, Manish Purohit:
Non-Clairvoyant Scheduling with Predictions. SPAA 2021: 285-294 - [i21]Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Faster Matchings via Learned Duals. CoRR abs/2107.09770 (2021) - 2020
- [j18]Sungjin Im, Benjamin Moseley, Kamesh Munagala, Kirk Pruhs:
Dynamic Weighted Fairness with Minimal Disruptions. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 19:1-19:18 (2020) - [j17]Antonios Antoniadis, Sungjin Im, Ravishankar Krishnaswamy, Benjamin Moseley, Viswanath Nagarajan, Kirk Pruhs, Clifford Stein:
Hallucination Helps: Energy Efficient Virtual Circuit Routing. SIAM J. Comput. 49(1): 37-66 (2020) - [j16]Sungjin Im, Benjamin Moseley:
Fair Scheduling via Iterative Quasi-Uniform Sampling. SIAM J. Comput. 49(3): 658-680 (2020) - [j15]Sungjin Im, Shi Li, Benjamin Moseley:
Breaking 1 - 1/e Barrier for Nonpreemptive Throughput Maximization. SIAM J. Discret. Math. 34(3): 1649-1669 (2020) - [c57]Sungjin Im, Mahshid Montazer Qaem, Benjamin Moseley, Xiaorui Sun, Rudy Zhou:
Fast Noise Removal for k-Means Clustering. AISTATS 2020: 456-466 - [c56]Alireza Samadian, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Ryan R. Curtin:
Unconditional Coresets for Regularized Loss Minimization. AISTATS 2020: 482-492 - [c55]Ilan Reuven Cohen, Sungjin Im, Debmalya Panigrahi:
Online Two-Dimensional Load Balancing. ICALP 2020: 34:1-34:21 - [c54]Sungjin Im, Benjamin Moseley, Kamesh Munagala, Kirk Pruhs:
Dynamic Weighted Fairness with Minimal Disruptions. SIGMETRICS (Abstracts) 2020: 5-6 - [c53]Sungjin Im, Maryam Shadloo:
Weighted Completion Time Minimization for Unrelated Machines via Iterative Fair Contention Resolution. SODA 2020: 2790-2809 - [i20]Sungjin Im, Maryam Shadloo:
Weighted Completion Time Minimization for Unrelated Machines via Iterative Fair Contention Resolution. CoRR abs/2001.05015 (2020) - [i19]Sungjin Im, Benjamin Moseley, Kamesh Munagala, Kirk Pruhs:
Dynamic Weighted Fairness with Minimal Disruptions. CoRR abs/2001.06841 (2020) - [i18]Sungjin Im, Mahshid Montazer Qaem, Benjamin Moseley, Xiaorui Sun, Rudy Zhou:
Fast Noise Removal for k-Means Clustering. CoRR abs/2003.02433 (2020) - [i17]Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
Approximate Aggregate Queries Under Additive Inequalities. CoRR abs/2003.10588 (2020) - [i16]Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
A Relational Gradient Descent Algorithm For Support Vector Machine Training. CoRR abs/2005.05325 (2020) - [i15]Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
Instance Optimal Join Size Estimation. CoRR abs/2012.08083 (2020)
2010 – 2019
- 2019
- [j14]Kyle Fox, Sungjin Im, Janardhan Kulkarni, Benjamin Moseley:
Non-clairvoyantly Scheduling to Minimize Convex Functions. Algorithmica 81(9): 3746-3764 (2019) - [j13]Sungjin Im, Nathaniel Kell, Janardhan Kulkarni, Debmalya Panigrahi:
Tight Bounds for Online Vector Scheduling. SIAM J. Comput. 48(1): 93-121 (2019) - [c52]Sungjin Im, Benjamin Moseley, Kirk Pruhs, Manish Purohit:
Matroid Coflow Scheduling. ICALP 2019: 145:1-145:14 - [c51]Sungjin Im, Mahshid Montazer Qaem:
Fast and Parallelizable Ranking with Outliers from Pairwise Comparisons. ECML/PKDD (1) 2019: 173-188 - [i14]Sungjin Im, Benjamin Moseley:
A Conditional Lower Bound on Graph Connectivity in MapReduce. CoRR abs/1904.08954 (2019) - [i13]Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
On Coresets for Regularized Loss Minimization. CoRR abs/1905.10845 (2019) - 2018
- [j12]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala:
Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints. J. ACM 65(1): 3:1-3:33 (2018) - [j11]Kyle Fox, Sungjin Im, Benjamin Moseley:
Energy efficient scheduling of parallelizable jobs. Theor. Comput. Sci. 726: 30-40 (2018) - [c50]Sungjin Im, Maryam Shadloo, Zizhan Zheng:
Online Partial Throughput Maximization for Multidimensional Coflow. INFOCOM 2018: 2042-2050 - [c49]Sungjin Im, Nathaniel Kell, Debmalya Panigrahi, Maryam Shadloo:
Online load balancing on related machines. STOC 2018: 30-43 - 2017
- [c48]Sungjin Im, Benjamin Moseley, Kirk Pruhs, Clifford Stein:
Minimizing Maximum Flow Time on Related Machines via Dynamic Posted Pricing. ESA 2017: 51:1-51:10 - [c47]Sungjin Im, Shi Li, Benjamin Moseley:
Breaking 1 - 1/e Barrier for Non-preemptive Throughput Maximization. IPCO 2017: 292-304 - [c46]Sungjin Im, Benjamin Moseley, Kirk Pruhs, Clifford Stein:
An O(Log Log m)-Competitive Algorithm for Online Machine Minimization. RTSS 2017: 343-350 - [c45]Sungjin Im, Benjamin Moseley:
Fair Scheduling via Iterative Quasi-Uniform Sampling. SODA 2017: 2601-2615 - [c44]Sungjin Im, Benjamin Moseley, Xiaorui Sun:
Efficient massively parallel methods for dynamic programming. STOC 2017: 798-811 - [i12]Sungjin Im, Manish Purohit:
A Tight Approximation for Co-flow Scheduling for Minimizing Total Weighted Completion Time. CoRR abs/1707.04331 (2017) - [i11]Sungjin Im, Benjamin Moseley, Kirk Pruhs, Clifford Stein:
An O(log log m)-competitive Algorithm for Online Machine Minimization. CoRR abs/1708.09046 (2017) - [i10]Sungjin Im, Nathaniel Kell, Debmalya Panigrahi, Maryam Shadloo:
Online Load Balancing for Related Machines. CoRR abs/1709.10455 (2017) - 2016
- [j10]Sungjin Im, Hoon Oh, Maryam Shadloo:
Minimizing the maximum flow time in batch scheduling. Oper. Res. Lett. 44(6): 784-789 (2016) - [j9]Sungjin Im, Viswanath Nagarajan, Ruben van der Zwaan:
Minimum Latency Submodular Cover. ACM Trans. Algorithms 13(1): 13:1-13:28 (2016) - [j8]Sungjin Im, Benjamin Moseley, Kirk Pruhs, Eric Torng:
Competitively Scheduling Tasks with Intermediate Parallelizability. ACM Trans. Parallel Comput. 3(1): 4:1-4:19 (2016) - [c43]Sungjin Im, Janardhan Kulkarni, Benjamin Moseley, Kamesh Munagala:
A Competitive Flow Time Algorithm for Heterogeneous Clusters Under Polytope Constraints. APPROX-RANDOM 2016: 10:1-10:15 - [c42]Sungjin Im, Shi Li:
Better Unrelated Machine Scheduling for Weighted Completion Time via Random Offsets from Non-uniform Distributions. FOCS 2016: 138-147 - [c41]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala:
Competitive Analysis of Constrained Queueing Systems. ICALP 2016: 143:1-143:13 - [c40]Sungjin Im, Mina Naghshnejad, Mukesh Singhal:
Scheduling jobs with non-uniform demands on multiple servers without interruption. INFOCOM 2016: 1-9 - [c39]Sungjin Im, Benjamin Moseley:
General Profit Scheduling and the Power of Migration on Heterogeneous Machines. SPAA 2016: 165-173 - [c38]Sungjin Im, Janardhan Kulkarni:
Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines. SPAA 2016: 185-194 - [c37]Sungjin Im, Maryam Shadloo:
Brief Announcement: A QPTAS for Non-preemptive Speed-scaling. SPAA 2016: 207-209 - [r1]Sungjin Im:
Min-Sum Set Cover and Its Generalizations. Encyclopedia of Algorithms 2016: 1331-1334 - [i9]Sungjin Im, Shi Li:
Better Unrelated Machine Scheduling for Weighted Completion Time via Random Offsets from Non-Uniform Distributions. CoRR abs/1606.08817 (2016) - 2015
- [c36]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala:
Competitive Flow Time Algorithms for Polyhedral Scheduling. FOCS 2015: 506-524 - [c35]Sungjin Im, Nathaniel Kell, Janardhan Kulkarni, Debmalya Panigrahi:
Tight Bounds for Online Vector Scheduling. FOCS 2015: 525-544 - [c34]Noa Avigdor-Elgrabli, Sungjin Im, Benjamin Moseley, Yuval Rabani:
On the Randomized Competitive Ratio of Reordering Buffer Management with Non-Uniform Costs. ICALP (1) 2015: 78-90 - [c33]Sungjin Im, Benjamin Moseley:
Weighted Reordering Buffer Improved via Variants of Knapsack Covering Inequalities. ICALP (1) 2015: 737-748 - [c32]Sungjin Im, Maxim Sviridenko:
New Approximations for Broadcast Scheduling via Variants of α-point Rounding. SODA 2015: 1050-1069 - [c31]Sungjin Im, Shi Li, Benjamin Moseley, Eric Torng:
A Dynamic Programming Framework for Non-Preemptive Scheduling Problems on Multiple Machines [Extended Abstract]. SODA 2015: 1070-1086 - [c30]Sungjin Im, Benjamin Moseley:
Brief Announcement: Fast and Better Distributed MapReduce Algorithms for k-Center Clustering. SPAA 2015: 65-67 - [c29]Sungjin Im, Janardhan Kulkarni, Benjamin Moseley:
Temporal Fairness of Round Robin: Competitive Analysis for Lk-norms of Flow Time. SPAA 2015: 155-160 - [c28]Sungjin Im, Benjamin Moseley:
Scheduling in Bandwidth Constrained Tree Networks. SPAA 2015: 171-180 - [c27]Sungjin Im, Benjamin Moseley, Kirk Pruhs:
Stochastic Scheduling of Heavy-tailed Jobs. STACS 2015: 474-486 - 2014
- [j7]Sungjin Im, Maxim Sviridenko, Ruben van der Zwaan:
Preemptive and non-preemptive generalized min sum set cover. Math. Program. 145(1-2): 377-401 (2014) - [j6]Sungjin Im, Benjamin Moseley, Kirk Pruhs:
Online Scheduling with General Cost Functions. SIAM J. Comput. 43(1): 126-143 (2014) - [c26]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala, Kirk Pruhs:
SelfishMigrate: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors. FOCS 2014: 531-540 - [c25]Sayan Bhattacharya, Sungjin Im, Janardhan Kulkarni, Kamesh Munagala:
Coordination mechanisms from (almost) all scheduling policies. ITCS 2014: 121-134 - [c24]Sungjin Im, Benjamin Moseley:
New Approximations for Reordering Buffer Management. SODA 2014: 1093-1111 - [c23]Antonios Antoniadis, Sungjin Im, Ravishankar Krishnaswamy, Benjamin Moseley, Viswanath Nagarajan, Kirk Pruhs, Cliff Stein:
Hallucination Helps: Energy Efficient Virtual Circuit Routing. SODA 2014: 1141-1153 - [c22]Sungjin Im, Benjamin Moseley, Kirk Pruhs, Eric Torng:
Competitively scheduling tasks with intermediate parallelizability. SPAA 2014: 22-29 - [c21]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala:
Competitive algorithms from competitive equilibria: non-clairvoyant scheduling under polyhedral constraints. STOC 2014: 313-322 - [i8]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala:
Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints. CoRR abs/1404.1097 (2014) - [i7]Sungjin Im, Janardhan Kulkarni, Kamesh Munagala, Kirk Pruhs:
SELFISHMIGRATE: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors. CoRR abs/1404.1943 (2014) - [i6]Sungjin Im, Nathaniel Kell, Janardhan Kulkarni, Debmalya Panigrahi:
Tight Bounds for Online Vector Scheduling. CoRR abs/1411.3887 (2014) - 2013
- [c20]Kyle Fox, Sungjin Im, Janardhan Kulkarni, Benjamin Moseley:
Online Non-clairvoyant Scheduling to Simultaneously Minimize All Convex Functions. APPROX-RANDOM 2013: 142-157 - [c19]Jung-Eun Kim, Man-Ki Yoon, Sungjin Im, Richard M. Bradford, Lui Sha:
Optimized scheduling of multi-IMA partitions with exclusive region for synchronized real-time multi-core systems. DATE 2013: 970-975 - [c18]Kyle Fox, Sungjin Im, Benjamin Moseley:
Energy Efficient Scheduling of Parallelizable Jobs. SODA 2013: 948-957 - [c17]Sungjin Im, Benjamin Moseley:
Brief announcement: online batch scheduling for flow objectives. SPAA 2013: 102-104 - [i5]Sungjin Im, Maxim Sviridenko:
Optimizing Maximum Flow Time and Maximum Throughput in Broadcast Scheduling. CoRR abs/1309.3675 (2013) - 2012
- [b1]Sungjin Im:
Online scheduling algorithms for average flow time and its variants. University of Illinois Urbana-Champaign, USA, 2012 - [j5]Sungjin Im, Pinyan Lu, Yajun Wang:
Envy-Free Pricing with General Supply Constraints for Unit Demand Consumers. J. Comput. Sci. Technol. 27(4): 702-709 (2012) - [j4]Daniel Cole, Sungjin Im, Benjamin Moseley, Kirk Pruhs:
Speed scaling for stretch plus energy. Oper. Res. Lett. 40(3): 180-184 (2012) - [j3]Sungjin Im, Benjamin Moseley:
An online scalable algorithm for average flow time in broadcast scheduling. ACM Trans. Algorithms 8(4): 39:1-39:17 (2012) - [j2]Chandra Chekuri, Sungjin Im, Benjamin Moseley:
Online Scheduling to Minimize Maximum Response Time and Maximum Delay Factor. Theory Comput. 8(1): 165-195 (2012) - [c16]Sungjin Im, Viswanath Nagarajan, Ruben van der Zwaan:
Minimum Latency Submodular Cover. ICALP (1) 2012: 485-497 - [c15]Neal Barcelo, Sungjin Im, Benjamin Moseley, Kirk Pruhs:
Shortest-Elapsed-Time-First on a Multiprocessor. MedAlg 2012: 82-92 - [c14]Anupam Gupta, Sungjin Im, Ravishankar Krishnaswamy, Benjamin Moseley, Kirk Pruhs:
Scheduling heterogeneous processors isn't as easy as you think. SODA 2012: 1242-1253 - [c13]Sungjin Im, Benjamin Moseley, Kirk Pruhs:
Online scheduling with general cost functions. SODA 2012: 1254-1265 - [c12]Sungjin Im, Maxim Sviridenko, Ruben van der Zwaan:
Preemptive and Non-Preemptive Generalized Min Sum Set Cover. STACS 2012: 465-476 - 2011
- [j1]Sungjin Im, Benjamin Moseley, Kirk Pruhs:
A tutorial on amortized local competitiveness in online scheduling. SIGACT News 42(2): 83-97 (2011) - [c11]Hyungsul Kim, Sungjin Im, Tarek F. Abdelzaher, Jiawei Han, David Sheridan, Shobha Vasudevan:
Signature Pattern Covering via Local Greedy Algorithm and Pattern Shrink. ICDM 2011: 330-339 - [c10]