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- Sungjin Im
University of California at Merced, CA, USA
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Publication search results
found 150 matches
- 2024
- Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Sampling for Beyond-Worst-Case Online Ranking. AAAI 2024: 20649-20656 - 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 - Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Controlling Tail Risk in Online Ski-Rental. SODA 2024: 4247-4263 - Sungjin Im
, Ravi Kumar
, Shi Li
, Aditya Petety
, Manish Purohit
:
Online Load and Graph Balancing for Random Order Inputs. SPAA 2024: 491-497 - Aditya Bhaskara
, Sreenivas Gollapudi
, Sungjin Im
, Kostas Kollias
, Kamesh Munagala
, Govind S. Sankar
:
Data Exchange Markets via Utility Balancing. WWW 2024: 57-65 - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar:
Data Exchange Markets via Utility Balancing. CoRR abs/2401.13053 (2024) - Sungjin Im, Ravi Kumar, Shi Li, Aditya Petety, Manish Purohit:
Online Load and Graph Balancing for Random Order Inputs. CoRR abs/2405.07949 (2024) - 2023
- Sungjin Im, Ravi Kumar, Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii:
Massively Parallel Computation: Algorithms and Applications. Found. Trends Optim. 5(4): 340-417 (2023) - 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) - Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Min-Max Submodular Ranking for Multiple Agents. AAAI 2023: 7061-7068 - Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Online Dynamic Acknowledgement with Learned Predictions. INFOCOM 2023: 1-10 - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala
:
Online Learning and Bandits with Queried Hints. ITCS 2023: 16:1-16:24 - Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms. ECML/PKDD (4) 2023: 333-348 - Sungjin Im, Shi Li:
Improved Approximations for Unrelated Machine Scheduling. SODA 2023: 2917-2946 - Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Online Dynamic Acknowledgement with Learned Predictions. CoRR abs/2305.18227 (2023) - Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Controlling Tail Risk in Online Ski-Rental. CoRR abs/2308.05067 (2023) - Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs:
On the Convergence Rate of Linear Datalogo over Stable Semirings. CoRR abs/2311.17664 (2023) - 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
- Reza E. Rad
, Yasser Mohammadi Qaragoez, Sungjin Kim
, Arash Hejazi
, Dong Gyu Kim
, Danial Khan
, Imran Ali
, Behnam Samadpoor Rikan
, Sang-Sun Yoo
, YoungGun Pu
, Keum-Cheol Hwang
, Youngoo Yang
, Kang-Yoon Lee
:
A Wideband Multilevel Reconfigurable Class E/F23 Power Amplifier With a Band-Selecting Tracking Reactance Compensation Automatic Calibration Algorithm. IEEE Access 10: 54214-54220 (2022) - Sungjin Im, Ravi Kumar, Aditya Petety, Manish Purohit:
Parsimonious Learning-Augmented Caching. ICML 2022: 9588-9601 - Sungjin Park, Haegyeong Im, Gayoung Yeom, Dayeon Won, Minji Kim, Xavier Lopez, Anthony Smith:
Performance Evaluation of Containerized Systems before and after using Kubernetes for Smart Farm Visualization Platform based on LoRaWAN. IRC 2022: 44-47 - Sungjin Im:
Non-clairvoyant Scheduling with Predictions. ISAIM 2022 - Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Algorithms with Prediction Portfolios. NeurIPS 2022 - Sungjin Im, Ravi Kumar, Aditya Petety, Manish Purohit:
Parsimonious Learning-Augmented Caching. CoRR abs/2202.04262 (2022) - Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Algorithms with Prediction Portfolios. CoRR abs/2210.12438 (2022) - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala:
Online Learning and Bandits with Queried Hints. CoRR abs/2211.02703 (2022) - Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian:
Optimizing Polymatroid Functions. CoRR abs/2211.08381 (2022) - Sungjin Im, Shi Li:
Improved Approximations for Unrelated Machine Scheduling. CoRR abs/2211.10398 (2022) - Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Min-max Submodular Ranking for Multiple Agents. CoRR abs/2212.07682 (2022) - 2021
- Sungjin Im, Benjamin Moseley, Kirk Pruhs
:
The matroid intersection cover problem. Oper. Res. Lett. 49(1): 17-22 (2021)
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