| 2026 | ITiCSE | Perfecting Partnerships: Employers' Impact through Situated Learning During Computing Internships. | Nimmi Arunachalam, Stephanie J. Lunn, Mark Allen Weiss, Jason Liu, Giri Narasimhan |
| 2026 | WWW | Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding. | Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng |
| 2026 | SIGCSE | Boundary Crossing and Collaboration: Reconciling the Academia and Industry Gap in Computing Internships through Mentorship. | Nimmi Arunachalam, Stephanie Jill Lunn, Giri Narasimhan, Jason Liu, Mark Allen Weiss |
| 2025 | ACL | Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking. | Fabrice Harel-Canada, Boran Erol, Connor Choi, Jason Liu, Gary Jiarui Song, Nanyun Peng, Amit Sahai |
| 2025 | HPDC | RAPTOR: Reconfigurable Advanced Platform for Transdisciplinary Open Research. | Hamed Najafi, Pratik Poudel, Kiavash Bahreini, Julio Ibarra, Fahad Saeed, Yuepeng Li, Jayantha Obeysekera, Jason Liu |
| 2025 | ICML | DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning. | Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong |
| 2025 | ITiCSE | Dipping a Toe Into Computing: Offering a Short-Term Program for Students Majoring in Other Fields. | Stephanie J. Lunn, Nimmi Arunachalam, Nicole Becerra, Mark Allen Weiss, Jason Liu, Giri Narasimhan |
| 2025 | PADS | Toward a Steady-State Fluid Model of HPC Networks. | Kevin A. Brown, Andres Lopez, Jason Liu |
| 2025 | SIGCSE | Crafting Opportunities: Establishing a Micro-Internship Program for Computing Students. | Nimmi Arunachalam, Stephanie J. Lunn, Ashmita Thapaliya, Giri Narasimhan, Jason Liu, Mark Allen Weiss |
| 2025 | SP | What We Talk About When We Talk About Logs: Understanding the Effects of Dataset Quality on Endpoint Threat Detection Research. | Jason Liu, Muhammad Adil Inam, Akul Goyal, Andy Riddle, Kim Westfall, Adam Bates |
| 2024 | AAAI | Relational Programming with Foundational Models. | Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik |
| 2024 | HPCA | CHROME: Concurrency-Aware Holistic Cache Management Framework with Online Reinforcement Learning. | Xiaoyang Lu, Hamed Najafi, Jason Liu, Xian-He Sun |
| 2024 | SIGCSE | Foot in the Door: Developing Opportunities for Computing Undergraduates to Gain Industry Experience. | Nimmi Arunachalam, Stephanie J. Lunn, Mark Allen Weiss, Jason Liu, Giri Narasimhan |
| 2023 | MDM | Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. | Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim |
| 2023 | SP | SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions. | Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan |
| 2022 | ACSAC | FAuST: Striking a Bargain between Forensic Auditing's Security and Throughput. | Muhammad Adil Inam, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan |
| 2022 | ICCCN | A Federated Learning Framework for Automated Decision Making with Microscopic Traffic Simulation. | Khandaker Mamun Ahmed, Samuel Muvdi, Jason Liu, M. Hadi Amini |
| 2022 | ICCCN | Achieving High End-to-End Availability in VNF Networks. | Enrique Rodicio, Deng Pan, Jason Liu, Bin Tang |
| 2022 | ICML | Learning inverse folding from millions of predicted structures. | Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives |
| 2022 | WSC | A Generalized Model for Modern Hierarchical Memory System. | Hamed Najafi, Jason Liu, Xiaoyang Lu, Xian-He Sun |
| 2021 | FAST | Learning Cache Replacement with CACHEUS. | Liana V. Rodriguez, Farzana Beente Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, Jason Liu, Ming Zhao, Giri Narasimhan |
| 2021 | ICML | MSA Transformer. | Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives |
| 2020 | ACSAC | On the Forensic Validity of Approximated Audit Logs. | Noor Michael, Jaron Mink, Jason Liu, Sneha Gaur, Wajih Ul Hassan, Adam Bates |
| 2020 | WSC | Simulus: Easy Breezy Simulation in Python. | Jason Liu |
| 2019 | PADS | Virtual Time Machine for Reproducible Network Emulation. | Jin Chen, Jiang Liu, Tao Huang, Jason Liu |
| 2019 | PLDI | Neural query expansion for code search. | Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra |
| 2019 | WSC | Simulation of Energy-Efficient Demand Response for High Performance Computing Systems. | Kishwar Ahmed, Jason Liu |
| 2018 | HPCC | Enabling Demand Response for HPC Systems through Power Capping and Node Scaling. | Kishwar Ahmed, Jason Liu, Kazutomo Yoshii |
| 2018 | HPCC | Analysis of MOOC Learning Rhythms. | Jingjing He, Chang Men, Senbiao Fang, Zhihui Du, Jason Liu, Manli Li |
| 2018 | ISPA | Contract-Based Demand Response Model for High Performance Computing Systems. | Kishwar Ahmed, Jesse Bull, Jason Liu |
| 2018 | PADS | Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations. | Mohammad Abu Obaida, Jason Liu, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz |
| 2018 | WSC | Imcsim: Parameterized Performance Prediction for Implicit Monte Carlo codes. | Gopinath Chennupati, Stephan J. Eidenbenz, Alex Long, Olena Tkachenko, Joseph Zerr, Jason Liu |
| 2018 | WSC | Just-in-Time Parallel simulation. | Christopher Hannon, Dong Jin, Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu |
| 2017 | BigData | Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves. | Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, Jason Liu |
| 2017 | MASCOTS | An Energy Efficient Demand-Response Model for High Performance Computing Systems. | Kishwar Ahmed, Jason Liu, Xingfu Wu |
| 2017 | WSC | A brief history of HPC simulation and future challenges. | Kishwar Ahmed, Jason Liu, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz |
| 2017 | WSC | Simulation of HPC job scheduling and large-scale parallel workloads. | Mohammad Abu Obaida, Jason Liu |
| 2016 | HPCC | Scalable Interconnection Network Models for Rapid Performance Prediction of HPC Applications. | Kishwar Ahmed, Jason Liu, Stephan J. Eidenbenz, Joe Zerr |
| 2016 | PADS | An Integrated Interconnection Network Model for Large-Scale Performance Prediction. | Kishwar Ahmed, Mohammad Obaida, Jason Liu, Stephan J. Eidenbenz, Nandakishore Santhi, Guillaume Chapuis |
| 2016 | WSC | Panel - Reproducible research in discrete event simulation - A must or rather a maybe? | Adelinde M. Uhrmacher, Sally C. Brailsford, Jason Liu, Markus Rabe, Andreas Tolk |
| 2015 | WSC | The simian concept: parallel discrete event simulation with interpreted languages and just-in-time compilation. | Nandakishore Santhi, Stephan J. Eidenbenz, Jason Liu |
| 2014 | PADS | GPU-assisted hybrid network traffic model. | Jason Liu, Yuan Liu, Zhihui Du, Ting Li |
| 2014 | WSC | A simulation and emulation study of SDN-based multipath routing for fat-tree data center networks. | Eric Jo, Deng Pan, Jason Liu, Linda Butler |
| 2013 | PADS | Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation. | Miguel A. Erazo, Jason Liu |
| 2013 | WSC | Real-time scheduling of logical processes for parallel discrete-event simulation. | Jason Liu |
| 2012 | DSN | Toward comprehensive and accurate simulation performance prediction of parallel file systems. | Miguel A. Erazo, Ting Li, Jason Liu, Stephan J. Eidenbenz |
| 2012 | GLOBECOM | Depth-First Worst-Fit Search based multipath routing for data center networks. | Tosmate Cheocherngngarn, Hao Jin, Jean Andrian, Deng Pan, Jason Liu |
| 2012 | PADS | Hierarchical Composite Synchronization. | Jason Liu, Rong Rong |
| 2012 | PADS | Realizing Large-Scale Interactive Network Simulation via Model Splitting. | Nathanael Van Vorst, Jason Liu |
| 2011 | INFOCOM | OpenFlow based flow level bandwidth provisioning for CICQ switches. | Hao Jin, Deng Pan, Jason Liu, Niki Pissinou |
| 2011 | MASCOTS | How Low Can You Go? Spherical Routing for Scalable Network Simulations. | Nathanael Van Vorst, Ting Li, Jason Liu |
| 2011 | PADS | PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI. | Nathanael Van Vorst, Miguel A. Erazo, Jason Liu |
| 2010 | WSC | Model-driven network emulation with virtual time machine. | Jason Liu, Raju Rangaswami, Ming Zhao |
| 2009 | PADS | Real-Time Security Exercises on a Realistic Interdomain Routing Experiment Platform. | Yue Li, Michael Liljenstam, Jason Liu |
| 2009 | WSC | A Large-scale Real-time Network Simulation Study using PRIME. | Jason Liu, Yue Li, Ying He |
| 2009 | TridentCom | SVEET! a scalable virtualized evaluation environment for TCP. | Miguel A. Erazo, Yue Li, Jason Liu |
| 2008 | ISCAS | Circuit techniques for ultra-low power subthreshold SRAMs. | Tony Tae-Hyoung Kim, Jason Liu, John Keane, Chris H. Kim |
| 2008 | PADS | Toward Scalable Routing Experiments with Real-Time Network Simulation. | Yue Li, Jason Liu, Raju Rangaswami |
| 2008 | PADS | Interval Branching. | Patrick Peschlow, Peter Martini, Jason Liu |
| 2007 | INFOCOM | An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations. | Jason Liu, Scott Mann, Nathanael Van Vorst, Keith Hellman |
| 2007 | PADS | Parallel Simulation of Hybrid Network Traffic Models. | Jason Liu |
| 2006 | WSC | Packet-level integration of fluid TCP models in real-time network simulation. | Jason Liu |
| 2005 | PADS | RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises. | Michael Liljenstam, Jason Liu, David M. Nicol, Yougu Yuan, Guanhua Yan, Chris Grier |
| 2005 | WSC | Advanced concepts in large-scale network simulation. | David M. Nicol, Michael Liljenstam, Jason Liu |
| 2004 | MSWIM | Outdoor experimental comparison of four ad hoc routing algorithms. | Robert S. Gray, David Kotz, Calvin C. Newport, Nikita Dubrovsky, Aaron Fiske, Jason Liu, Christopher Masone, Susan McGrath, Yougu Yuan |
| 2004 | MSWIM | Experimental evaluation of wireless simulation assumptions. | David Kotz, Calvin C. Newport, Robert S. Gray, Jason Liu, Yougu Yuan, Chip Elliott |
| 2004 | PADS | Simulation Validation Using Direct Execution of Wireless Ad-Hoc Routing Protocols. | Jason Liu, Yougu Yuan, David M. Nicol, Robert S. Gray, Calvin C. Newport, David Kotz, L. Felipe Perrone |
| 2003 | PADS | An Implementation of the SSF Scalable Simulation Framework on the Cray MTA. | Robert R. Henry, Simon Kahan, Jason Liu, David M. Nicol |
| 2003 | WSC | Simulation of large scale networks II: development of an internet backbone topology for large-scale network simulations. | Michael Liljenstam, Jason Liu, David M. Nicol |
| 2003 | WSC | Simulation of large scale networks I: simulation of large-scale networks using SSF. | David M. Nicol, Jason Liu, Michael Liljenstam, Guanhua Yan |
| 2002 | ICRA | 300mm Full Automation Integration Test Methodology and Experience. | Ming Wang, Eric Chang, Jason Liu |
| 2002 | PADS | Lookahead revisited in wireless network simulations. | Jason Liu, David M. Nicol |
| 2001 | PADS | Learning not to share. | Jason Liu, David M. Nicol |
| 2001 | PADS | Lock-free scheduling of logical processes in parallel simulation. | Jason Liu, David M. Nicol, King Tan |
| 2001 | WSC | Wireless: towards high performance modeling of the 802.11 Wireless protocol. | Jason Liu, David M. Nicol, L. Felipe Perrone, Michael Liljenstam |
| 2000 | PADS | Safe timestamps and large-scale modeling. | David M. Nicol, Jason Liu, James H. Cowie |
| 1999 | PADS | Performance Prediction of a Parallel Simulator. | Jason Liu, David M. Nicol, Brian J. Premore, Anna L. Poplawski |
| 1999 | PDPTA | Towards Realistic Million-Node Internet Simulation. | James H. Cowie, Hongbo Liu, Jason Liu, David M. Nicol, Andrew T. Ogielski |