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2020 – today
- 2023
[c36]Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky:
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science 2023: 1-10- [c35]Lipeng Wan
, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100 - [c34]Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu:
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. ICDE 2023: 2727-2739 - [c33]Han Wang, Jiayuan Zhang, Lipeng Wan, Xingyu Chen, Xuguang Lan, Nanning Zheng:
MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes. ICRA 2023: 3831-3837 - [c32]Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan:
Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning. IJCAI 2023: 208-216 - [c31]Guang Fan, Fangyu Zheng, Lipeng Wan, Lili Gao, Yuan Zhao, Jiankuo Dong, Yixuan Song, Yuewu Wang, Jingqiang Lin:
Towards Faster Fully Homomorphic Encryption Implementation with Integer and Floating-point Computing Power of GPUs. IPDPS 2023: 798-808 - [i15]Han Wang, Jiayuan Zhang, Lipeng Wan, Xingyu Chen, Xuguang Lan, Nanning Zheng:
MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes. CoRR abs/2304.12592 (2023) - [i14]Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo:
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level. CoRR abs/2305.14566 (2023) - [i13]Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo:
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. CoRR abs/2308.05784 (2023) - 2022
- [j11]Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [j10]Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky:
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers 71(7): 1522-1536 (2022) - [j9]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022) - [j8]Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky:
Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. 33(10): 4134-4147 (2022) - [c30]Lipeng Wan, Fangyu Zheng, Guang Fan, Rong Wei, Lili Gao, Yuewu Wang, Jingqiang Lin, Jiankuo Dong:
A Novel High-Performance Implementation of CRYSTALS-Kyber with AI Accelerator. ESORICS (3) 2022: 514-534 - [c29]Lipeng Wan, Zeyang Liu, Xingyu Chen, Xuguang Lan, Nanning Zheng:
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning. ICML 2022: 22512-22535 - [c28]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
P-ckpt: Coordinated Prioritized Checkpointing. IPDPS 2022: 436-446 - [c27]Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky:
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM 2022: 5:1-5:12 - [i12]Lipeng Wan, Zeyang Liu, Xingyu Chen, Xuguang Lan, Nanning Zheng:
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning. CoRR abs/2211.12075 (2022) - [i11]Lipeng Wan, Fangyu Zheng, Guang Fan, Rong Wei, Lili Gao, Jiankuo Dong, Jingqiang Lin, Yuewu Wang:
A Novel High-performance Implementation of CRYSTALS-Kyber with AI Accelerator. IACR Cryptol. ePrint Arch. 2022: 881 (2022) - 2021
- [j7]Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [c26]Rong Wei, Fangyu Zheng, Lili Gao, Jiankuo Dong, Guang Fan, Lipeng Wan, Jingqiang Lin, Yuewu Wang:
Heterogeneous-PAKE: Bridging the Gap between PAKE Protocols and Their Real-World Deployment. ACSAC 2021: 76-90 - [c25]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS 2021: 859-868 - [c24]Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky:
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC 2021: 26-32 - [c23]Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky:
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC 2021: 88 - [c22]Lipeng Wan, Fangyu Zheng, Jingqiang Lin:
TESLAC: Accelerating Lattice-Based Cryptography with AI Accelerator. SecureComm (1) 2021: 249-269 - [c21]Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky:
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC 2021: 22-39 - [c20]Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118 - [c19]Guang Fan, Fangyu Zheng, Jiankuo Dong, Jingqiang Lin, Lili Gao, Rong Wei, Lipeng Wan:
SECCEG: A Secure and Efficient Cryptographic Co-processor Based on Embedded GPU System. WASA (2) 2021: 107-122 - [i10]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2105.12764 (2021) - [i9]Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021) - [i8]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021) - [i7]Zeyang Liu, Lipeng Wan, Xue Sui, Kewu Sun, Xuguang Lan:
Multi-Agent Intention Sharing via Leader-Follower Forest. CoRR abs/2112.01078 (2021) - [i6]Lipeng Wan, Zeyang Liu, Xingyu Chen, Han Wang, Xuguang Lan:
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning. CoRR abs/2112.04454 (2021) - 2020
- [j6]Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky:
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43(1): 35-46 (2020) - [j5]William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - [c18]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
Orchestrating Fault Prediction with Live Migration and Checkpointing. HPDC 2020: 167-171 - [c17]Lipeng Wan, Xuguang Lan, Xuwei Song, Chuzhen Feng, Nanning Zheng:
Periodic Guidance Learning. ICKG 2020: 77-83 - [c16]Chuzhen Feng, Xuguang Lan, Lipeng Wan, Zhuo Liang, Haoyu Wang:
A Guided Evaluation Method for Robot Dynamic Manipulation. ICIRA 2020: 161-170 - [c15]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED 2020: 175-180 - [c14]David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf:
Visualization as a Service for Scientific Data. SMC 2020: 157-174 - [i5]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2007.04457 (2020) - [i4]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR abs/2007.08563 (2020) - [i3]Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky:
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR abs/2010.05872 (2020) - [i2]Lipeng Wan, Xuwei Song, Xuguang Lan, Nanning Zheng:
Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation. CoRR abs/2012.03488 (2020)
2010 – 2019
- 2019
- [c13]Hanbo Zhang, Xuguang Lan, Site Bai, Lipeng Wan, Chenjie Yang, Nanning Zheng:
A Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes. IROS 2019: 6435-6442 - 2018
- [j4]Lipeng Wan, Zhibo Wang, Zheng Lu, Yunhe Feng, Hairong Qi, Wenjun Zhou, Qing Cao:
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. IEEE Trans. Veh. Technol. 67(2): 1561-1569 (2018) - [c12]Lipeng Wan, Jun Wan, Yi Jin, Zichang Tan, Stan Z. Li:
Fine-Grained Multi-Attribute Adversarial Learning for Face Generation of Age, Gender and Ethnicity. ICB 2018: 98-103 - [c11]Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang:
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS 2018: 1357-1368 - [i1]Hanbo Zhang, Xuguang Lan, Lipeng Wan, Chenjie Yang, Xinwen Zhou, Nanning Zheng:
RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network. CoRR abs/1809.07081 (2018) - 2017
- [j3]Qing Cao, Yunhe Feng, Zheng Lu, Hairong Qi, Leon M. Tolbert, Lipeng Wan, Zhibo Wang, Wenjun Zhou:
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments. Ad Hoc Networks 66: 52-63 (2017) - [j2]Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral:
Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems. J. Parallel Distributed Comput. 100: 16-29 (2017) - [j1]Lipeng Wan, Qing Cao, Wenjun Zhou:
Optimizing the performance of sensor network programs through estimation-based code profiling. Pervasive Mob. Comput. 42: 285-298 (2017) - [c10]Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck:
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER 2017: 563-571 - [c9]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS 2017: 1-9 - [c8]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS 2017: 1022-1031 - [c7]Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan:
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 2017: 1927-1937 - 2015
- [c6]Lipeng Wan, Qing Cao, Wenjun Zhou:
Estimation-based profiling for code placement optimization in sensor network programs. ISPASS 2015: 165-166 - [c5]Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao:
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. SC 2015: 75:1-75:12 - 2014
- [c4]Lipeng Wan, Zhibo Wang, Zheng Lu, Hairong Qi, Wenjun Zhou, Qing Cao:
Towards approximate spatial queries for large-scale vehicle networks. SIGSPATIAL/GIS 2014: 505-508 - [c3]Lipeng Wan, Zheng Lu, Qing Cao, Feiyi Wang, Sarp Oral, Bradley W. Settlemyer:
SSD-optimized workload placement with adaptive learning and classification in HPC environments. MSST 2014: 1-6 - 2013
- [c2]Lipeng Wan, Qing Cao:
Towards Instruction Level Record and Replay of Sensor Network Applications. MASCOTS 2013: 475-484 - 2012
- [c1]Yanjun Yao, Lipeng Wan, Qing Cao, Rukun Mao:
PhoneCon: Voice-driven SmartPhone Controllable Wireless Sensor Networks. IPCCC 2012: 440-447
Coauthor Index
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last updated on 2023-09-29 22:13 CEST by the dblp team
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