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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[i3]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. CoRR abs/2305.00619 (2023)- 2022
- [c89]Muhammad Adil Inam
, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan:
FAuST: Striking a Bargain between Forensic Auditing's Security and Throughput. ACSAC 2022: 813-826 - [c88]Jason Liu, Anant Kandikuppa, Adam Bates:
Transparent DIFC: Harnessing Innate Application Event Logging for Fine-Grained Decentralized Information Flow Control. EuroS&P 2022: 487-501 - [c87]Khandaker Mamun Ahmed, Samuel Muvdi, Jason Liu, M. Hadi Amini:
A Federated Learning Framework for Automated Decision Making with Microscopic Traffic Simulation. ICCCN 2022: 1-9 - [c86]Enrique Rodicio, Deng Pan, Jason Liu, Bin Tang:
Achieving High End-to-End Availability in VNF Networks. ICCCN 2022: 1-10 - [c85]Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives:
Learning inverse folding from millions of predicted structures. ICML 2022: 8946-8970 - [c84]Hamed Najafi, Jason Liu, Xiaoyang Lu, Xian-He Sun:
A Generalized Model for Modern Hierarchical Memory System. WSC 2022: 2178-2188 - [i2]Jan Buzek, Junaid Hasan, Jason Liu, Michael Naehrig, Anthony Vigil:
Finding twin smooth integers by solving Pell equations. CoRR abs/2211.04315 (2022) - 2021
- [j31]Shaoke Lou, Tianxiao Li, Jason Liu, Mark Gerstein:
Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization. Bioinform. 37(18): 2998-3000 (2021) - [j30]Zhanlin Chen, Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min, Min Xu, Mark Gerstein:
DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays. Bioinform. 37(Supplement): 280-288 (2021) - [j29]Jason Liu, Pedro Espina, Xian-He Sun:
A Study on Modeling and Optimization of Memory Systems. J. Comput. Sci. Technol. 36(1): 71-89 (2021) - [j28]Jason Liu, Daniel J. Spakowicz, Garrett I. Ash, Rebecca Hoyd, Rohan Ahluwalia, Andrew Zhang, Shaoke Lou, Donghoon Lee, Jing Zhang, Carolyn Presley, Ann Greene, Matthew Stults-Kolehmainen, Laura M. Nally, Julien S. Baker, Lisa M. Fucito, Stuart A. Weinzimer, Andrew V. Papachristos, Mark Gerstein:
Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLoS Comput. Biol. 17(8) (2021) - [j27]Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus:
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021) - [j26]Jason Liu, Laxmikant V. Kalé:
Introduction to the Special Issue on PADS 2019. ACM Trans. Model. Comput. Simul. 31(2): 9e:1-9e:2 (2021) - [c83]Liana V. Rodriguez, Farzana Beente Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, Jason Liu, Ming Zhao, Giri Narasimhan:
Learning Cache Replacement with CACHEUS. FAST 2021: 341-354 - [c82]Liana V. Rodriguez, Alexis González, Pratik Poudel, Raju Rangaswami, Jason Liu:
Unifying the data center caching layer: feasible? profitable? HotStorage 2021: 50-57 - [c81]Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives:
MSA Transformer. ICML 2021: 8844-8856 - [c80]Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alexander Rives:
Language models enable zero-shot prediction of the effects of mutations on protein function. NeurIPS 2021: 29287-29303 - 2020
- [j25]Shaoke Lou, Tianxiao Li, Xiangmeng Kong, Jing Zhang, Jason Liu, Donghoon Lee, Mark Gerstein:
TopicNet: a framework for measuring transcriptional regulatory network change. Bioinform. 36(Supplement-1): i474-i481 (2020) - [j24]Jing Zhang, Jason Liu, Donghoon Lee, Shaoke Lou, Zhanlin Chen, Gamze Gürsoy, Mark Gerstein:
DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring. BMC Bioinform. 21(1): 281 (2020) - [j23]Jing Zhang, Jason Liu, Patrick D. McGillivray, Caroline Yi, Lucas Lochovsky, Donghoon Lee, Mark Gerstein:
NIMBus: a negative binomial regression based Integrative Method for mutation Burden Analysis. BMC Bioinform. 21(1): 474 (2020) - [j22]Qijia Shao, Amy Sniffen, Julien Blanchet, Megan E. Hillis, Xinyu Shi, Themistoklis K. Haris, Jason Liu, Jason Lamberton, Melissa Malzkuhn, Lorna C. Quandt, James Mahoney, David J. M. Kraemer, Xia Zhou, Devin J. Balkcom:
Teaching American Sign Language in Mixed Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 152:1-152:27 (2020) - [j21]Donghoon Lee, Jing Zhang, Jason Liu, Mark Gerstein:
Epigenome-based splicing prediction using a recurrent neural network. PLoS Comput. Biol. 16(6) (2020) - [c79]Noor Michael, Jaron Mink, Jason Liu, Sneha Gaur, Wajih Ul Hassan, Adam Bates:
On the Forensic Validity of Approximated Audit Logs. ACSAC 2020: 189-202 - [c78]Zhihui Du, Xinning Hui, Yurui Wang, Jun Jiang, Jason Liu, Baokun Lu, Chongyu Wang:
Inter-Job Scheduling of High-Throughput Material Screening Applications. IPDPS 2020: 841-852 - [c77]Michael Pradel, Georgios Gousios, Jason Liu, Satish Chandra:
TypeWriter: neural type prediction with search-based validation. ESEC/SIGSOFT FSE 2020: 209-220 - [c76]Jason Liu:
Simulus: Easy Breezy Simulation in Python. WSC 2020: 2329-2340 - [e6]Jason Liu, Philippe J. Giabbanelli, Christopher D. Carothers:
Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2020, Miami, FL, USA, June 15-17, 2020. ACM 2020, ISBN 978-1-4503-7592-4 [contents]
2010 – 2019
- 2019
- [c75]Jin Chen, Jiang Liu, Tao Huang, Jason Liu:
Virtual Time Machine for Reproducible Network Emulation. SIGSIM-PADS 2019: 61-70 - [c74]Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra:
Neural query expansion for code search. MAPL@PLDI 2019: 29-37 - [c73]Kishwar Ahmed, Jason Liu:
Simulation of Energy-Efficient Demand Response for High Performance Computing Systems. WSC 2019: 2560-2571 - [e5]Dong (Kevin) Jin, Jason Liu:
Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2019, Chicago, IL, USA, June 3-5, 2019. ACM 2019, ISBN 978-1-4503-6723-3 [contents] - [i1]Michael Pradel, Georgios Gousios, Jason Liu, Satish Chandra:
TypeWriter: Neural Type Prediction with Search-based Validation. CoRR abs/1912.03768 (2019) - 2018
- [j20]Xiaobin Ma, Zhihui Du, Jason Liu:
Program power profiling based on phase behaviors. Sustain. Comput. Informatics Syst. 19: 341-350 (2018) - [c72]Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal, Yuzhe Tang:
A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds. IEEE CLOUD 2018: 194-201 - [c71]Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Ming Zhao, Giri Narasimhan:
Driving Cache Replacement with ML-based LeCaR. HotStorage 2018 - [c70]Kishwar Ahmed, Jason Liu, Kazutomo Yoshii:
Enabling Demand Response for HPC Systems through Power Capping and Node Scaling. HPCC/SmartCity/DSS 2018: 789-796 - [c69]Jingjing He, Chang Men, Senbiao Fang, Zhihui Du, Jason Liu, Manli Li:
Analysis of MOOC Learning Rhythms. HPCC/SmartCity/DSS 2018: 1555-1562 - [c68]Kishwar Ahmed, Jesse Bull, Jason Liu:
Contract-Based Demand Response Model for High Performance Computing Systems. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 580-589 - [c67]Mohammad Abu Obaida, Jason Liu, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations. SIGSIM-PADS 2018: 49-59 - [c66]Gopinath Chennupati, Stephan J. Eidenbenz, Alex Long, Olena Tkachenko, Joseph Zerr, Jason Liu:
Imcsim: Parameterized Performance Prediction for Implicit Monte Carlo codes. WSC 2018: 491-502 - [c65]Christopher Hannon, Dong Jin, Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu:
Just-in-Time Parallel simulation. WSC 2018: 640-651 - 2017
- [j19]Xiu Li, Chang Men, Zhihui Du, Jason Liu, Manli Li, Xiaolei Zhang:
Investigating the Statistical Distribution of Learning Coverage in MOOCs. Inf. 8(4): 150 (2017) - [c64]Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, Jason Liu:
Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves. BigData Congress 2017: 224-231 - [c63]Rong Rong, Jason Liu:
Distributed mininet with symbiosis. ICC 2017: 1-6 - [c62]Xinning Hui, Zhihui Du, Jason Liu, Hongyang Sun, Yuxiong He, David A. Bader:
When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers. IPDPS Workshops 2017: 984-993 - [c61]Kishwar Ahmed, Jason Liu, Xingfu Wu:
An Energy Efficient Demand-Response Model for High Performance Computing Systems. MASCOTS 2017: 175-186 - [c60]Mohammad Abu Obaida, Jason Liu:
On Improving Parallel RealTime Network Simulation for Hybrid Experimentation of Software Defined Networks. SimuTools 2017: 63-71 - [c59]Kishwar Ahmed, Jason Liu, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz:
A brief history of HPC simulation and future challenges. WSC 2017: 419-430 - [c58]Mohammad Abu Obaida, Jason Liu:
Simulation of HPC job scheduling and large-scale parallel workloads. WSC 2017: 920-931 - 2016
- [c57]Xiaobin Ma, Zhihui Du, Jason Liu:
Fast and effective power profiling of program execution based on phase behaviors. IGSC 2016: 1-8 - [c56]Kishwar Ahmed, Jason Liu, Stephan J. Eidenbenz, Joe Zerr:
Scalable Interconnection Network Models for Rapid Performance Prediction of HPC Applications. HPCC/SmartCity/DSS 2016: 1069-1078 - [c55]Kishwar Ahmed, Mohammad Obaida, Jason Liu, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis:
An Integrated Interconnection Network Model for Large-Scale Performance Prediction. SIGSIM-PADS 2016: 177-187 - [c54]Adelinde M. Uhrmacher, Sally C. Brailsford, Jason Liu, Markus Rabe, Andreas Tolk:
Panel - Reproducible research in discrete event simulation - A must or rather a maybe? WSC 2016: 1301-1315 - 2015
- [j18]Ting Li, Jason Liu:
Cluster-Based Spatiotemporal Background Traffic Generation for Network Simulation. ACM Trans. Model. Comput. Simul. 25(1): 4:1-4:25 (2015) - [j17]Miguel A. Erazo, Rong Rong, Jason Liu:
Symbiotic Network Simulation and Emulation. ACM Trans. Model. Comput. Simul. 26(1): 2:1-2:25 (2015) - [c53]Jason Liu, Cesar Marcondes, Musa Ahmed, Rong Rong:
Toward Scalable Emulation of Future Internet Applications with Simulation Symbiosis. DS-RT 2015: 68-77 - [c52]Ricardo Santana, Steven Lyons, Ricardo Koller, Raju Rangaswami, Jason Liu:
To ARC or Not to ARC. HotStorage 2015 - [c51]Jason Liu, Robert C. Richardson, Rob Hewson, Shaun Whitehead:
Mechanical Design of Long Reach Super Thin Discrete Manipulator for Inspections in Fragile Historical Environments. TAROS 2015: 155-160 - [c50]Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu:
The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. WSC 2015: 3013-3024 - 2014
- [c49]Jason Liu, Mohammad Abu Obaida, Fernando dos Santos:
Toward PrimoGENI Constellation for Distributed At-Scale Hybrid Network Test. GREE 2014: 29-35 - [c48]Jason Liu, Yuan Liu, Zhihui Du, Ting Li:
GPU-assisted hybrid network traffic model. SIGSIM-PADS 2014: 63-74 - [c47]Eric Jo, Deng Pan, Jason Liu, Linda Butler:
A simulation and emulation study of SDN-based multipath routing for fat-tree data center networks. WSC 2014: 3072-3083 - [c46]Rong Rong, Jiang Hao, Jason Liu:
Performance Study of a Minimalistic Simulator on XSEDE Massively Parallel Systems. XSEDE 2014: 15:1-15:8 - 2013
- [j16]Robert C. Richardson, Shaun Whitehead, T. C. Ng, Zahi Hawass, Andrew Pickering, Stephen Rhodes, Ron Grieve, Adrian Hildred, Arjun Nagendran, Jason Liu, William Mayfield, Mehdi Tayoubi, Richard Breitner:
The "Djedi" Robot Exploration of the Southern Shaft of the Queen's Chamber in the Great Pyramid of Giza, Egypt. J. Field Robotics 30(3): 323-348 (2013) - [j15]Ting Li, Nathanael Van Vorst, Jason Liu:
A rate-based TCP traffic model to accelerate network simulation. Simul. 89(4): 466-480 (2013) - [j14]Hao Jin, Deng Pan, Jason Liu, Niki Pissinou:
OpenFlow-Based Flow-Level Bandwidth Provisioning for CICQ Switches. IEEE Trans. Computers 62(9): 1799-1812 (2013) - [c45]Hao Jin, Tosmate Cheocherngngarn, Dmita Levy, Alex Smith, Deng Pan, Jason Liu, Niki Pissinou:
Joint Host-Network Optimization for Energy-Efficient Data Center Networking. IPDPS 2013: 623-634 - [c44]Miguel A. Erazo, Jason Liu:
Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation. SIGSIM-PADS 2013: 79-90 - [c43]Jason Liu:
Real-time scheduling of logical processes for parallel discrete-event simulation. WSC 2013: 2959-2971 - 2012
- [j13]Nathanael Van Vorst, Miguel A. Erazo, Jason Liu:
PrimoGENI for hybrid network simulation and emulation experiments in GENI. J. Simulation 6(3): 179-192 (2012) - [c42]Miguel A. Erazo, Ting Li, Jason Liu, Stephan J. Eidenbenz:
Toward comprehensive and accurate simulation performance prediction of parallel file systems. DSN 2012: 1-12 - [c41]Tosmate Cheocherngngarn, Hao Jin, Jean Andrian, Deng Pan, Jason Liu:
Depth-First Worst-Fit Search based multipath routing for data center networks. GLOBECOM 2012: 2821-2826 - [c40]Jason Liu, Rong Rong:
Hierarchical Composite Synchronization. PADS 2012: 3-12 - [c39]Nathanael Van Vorst, Jason Liu:
Realizing Large-Scale Interactive Network Simulation via Model Splitting. PADS 2012: 120-129 - [c38]Ting Li, Nathanael Van Vorst, Rong Rong, Jason Liu:
Simulation studies of OpenFlow-based in-network caching strategies. SpringSim (CNS) 2012: 12 - 2011
- [c37]Hao Jin, Deng Pan, Jason Liu, Niki Pissinou:
OpenFlow based flow level bandwidth provisioning for CICQ switches. INFOCOM 2011: 476-480 - [c36]Nathanael Van Vorst, Ting Li, Jason Liu:
How Low Can You Go? Spherical Routing for Scalable Network Simulations. MASCOTS 2011: 259-268 - [c35]Nathanael Van Vorst, Miguel A. Erazo, Jason Liu:
PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI. PADS 2011: 1-9 - [e4]Jason Liu, Francesco Quaglia, Stephan J. Eidenbenz, Stephen Gilmore:
4th International ICST Conference on Simulation Tools and Techniques, SIMUTools '11, Barcelona, Spain, March 22 - 24, 2011. ICST/ACM 2011, ISBN 978-1-936968-00-8 [contents] - 2010
- [j12]Miguel A. Erazo, Jason Liu:
A model-driven emulation approach to large-scale TCP performance evaluation. Int. J. Commun. Networks Distributed Syst. 5(1/2): 130-150 (2010) - [c34]Miguel A. Erazo, Jason Liu:
On enabling real-time large-scale network simulation in GENI: the PrimoGENI approach. SimuTools 2010: 39 - [c33]Jason Liu, Raju Rangaswami, Ming Zhao:
Model-driven network emulation with virtual time machine. WSC 2010: 688-696 - [e3]L. Felipe Perrone, Giovanni Stea, Jason Liu, Adelinde M. Uhrmacher, Manuel Villén-Altamirano:
3rd International Conference on Simulation Tools and Techniques, SIMUTools '10, Malaga, Spain - March 16 - 18, 2010. ICST/ACM 2010, ISBN 978-963-9799-87-5 [contents]
2000 – 2009
- 2009
- [j11]Yue Li, Jason Liu, Raju Rangaswami:
Real-time network simulation support for scalable routing experiments. Int. J. Simul. Process. Model. 5(2): 146-156 (2009) - [j10]Jason Liu, Yue Li, Nathanael Van Vorst, Scott Mann, Keith Hellman:
A real-time network simulation infrastructure based on OpenVPN. J. Syst. Softw. 82(3): 473-485 (2009) - [j9]Tony Tae-Hyoung Kim, Jason Liu, Chris H. Kim:
A Voltage Scalable 0.26 V, 64 kb 8T SRAM With Vmin Lowering Techniques and Deep Sleep Mode. IEEE J. Solid State Circuits 44(6): 1785-1795 (2009) - [j8]Jason Liu, Yue Li:
Parallel Hybrid Network Traffic Models. Simul. 85(4): 271-286 (2009) - [j7]Jason Liu:
Guest Editorial: Advanced and Distributed Simulation. Simul. 85(9): 557-558 (2009) - [c32]Ting Li, Jason Liu:
A Fluid Background Traffic Model. ICC 2009: 1-6 - [c31]Yue Li, Michael Liljenstam, Jason Liu:
Real-Time Security Exercises on a Realistic Interdomain Routing Experiment Platform. PADS 2009: 54-63 - [c30]Miguel A. Erazo, Yue Li, Jason Liu:
SVEET! a scalable virtualized evaluation environment for TCP. TRIDENTCOM 2009: 1-10 - [c29]Jason Liu, Yue Li, Ying He:
A Large-scale Real-time Network Simulation Study using PRIME. WSC 2009: 797-806 - 2008
- [j6]Tony Tae-Hyoung Kim, Jason Liu, John Keane, Chris H. Kim:
A 0.2 V, 480 kb Subthreshold SRAM With 1 k Cells Per Bitline for Ultra-Low-Voltage Computing. IEEE J. Solid State Circuits 43(2): 518-529 (2008) - [j5]Jason Liu, Yue Li:
On the performance of a hybrid network traffic model. Simul. Model. Pract. Theory 16(6): 656-669 (2008) - [c28]Jason Liu:
A Primer for Real-Time Simulation of Large-Scale Networks. Annual Simulation Symposium 2008: 85-94 - [c27]Tony Tae-Hyoung Kim, Jason Liu, Chris H. Kim:
A voltage scalable 0.26V, 64kb 8T SRAM with Vmin lowering techniques and deep sleep mode. CICC 2008: 407-410 - [c26]Jason Liu:
Immersive real-time large-scale network simulation: A research summary. IPDPS 2008: 1-5 - [c25]Tony Tae-Hyoung Kim, Jason Liu, John Keane, Chris H. Kim:
Circuit techniques for ultra-low power subthreshold SRAMs. ISCAS 2008: 2574-2577 - [c24]Yue Li, Jason Liu, Raju Rangaswami:
Toward Scalable Routing Experiments with Real-Time Network Simulation. PADS 2008: 23-30 - [c23]Patrick Peschlow, Peter Martini, Jason Liu:
Interval Branching. PADS 2008: 99-108 - [e2]Francesco Quaglia, Jason Liu:
22st International Workshop on Principles of Advanced and Distributed Simulation, PADS 2008, Roma, Italy, June 3-6, 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3159-5 [contents] - 2007
- [j4]Calvin C. Newport, David Kotz, Yougu Yuan, Robert S. Gray, Jason Liu, Chip Elliott:
Experimental Evaluation of Wireless Simulation Assumptions. Simul. 83(9): 643-661 (2007) - [c22]Tony Tae-Hyoung Kim, Jason Liu, Chris H. Kim:
An 8T Subthreshold SRAM Cell Utilizing Reverse Short Channel Effect for Write Margin and Read Performance Improvement. CICC 2007: 241-244 - [c21]Jason Liu, Scott Mann, Nathanael Van Vorst, Keith Hellman:
An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations. INFOCOM 2007: 2476-2480 - [c20]Tony Tae-Hyoung Kim, Jason Liu, John Keane, Chris H. Kim:
A High-Density Subthreshold SRAM with Data-Independent Bitline Leakage and Virtual Ground Replica Scheme. ISSCC 2007: 330-606 - [c19]Jason Liu:
Parallel Simulation of Hybrid Network Traffic Models. PADS 2007: 141-151 - 2006
- [j3]Michael Liljenstam, Jason Liu, David M. Nicol, Yougu Yuan, Guanhua Yan, Chris Grier:
RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises (Extended Version). Simul. 82(1): 43-59 (2006) - [c18]Jason Liu:
Packet-level integration of fluid TCP models in real-time network simulation. WSC 2006: 2162-2169 - [e1]L. Felipe Perrone, Barry Lawson, Jason Liu, Frederick P. Wieland:
Proceedings of the Winter Simulation Conference WSC 2006, Monterey, California, USA, December 3-6, 2006. IEEE Computer Society 2006, ISBN 1-4244-0501-7 [contents] - 2005
- [j2]Jason Liu, Yougu Yuan, David M. Nicol, Robert S. Gray, Calvin C. Newport, David Kotz, Luiz Felipe Perrone:
Empirical Validation of Wireless Models in Simulations of Ad Hoc Routing Protocols. Simul. 81(4): 307-323 (2005) - [c17]Michael Liljenstam, Jason Liu, David M. Nicol, Yougu Yuan, Guanhua Yan, Chris Grier:
RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises. PADS 2005: 119-128 - [c16]David M. Nicol, Michael Liljenstam, Jason Liu:
Advanced concepts in large-scale network simulation. WSC 2005: 153-166 - 2004