Frank Liu - RankMe

113 papers A* 17A 19B 5C 6Misc 1Journal 36Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning. CoRR Nahom Birhan, Daniel Wesego, Dereje Shenkut, Frank Liu, Daniel Takabi
2025	J	`jnl`	Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather. CoRR Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee
2025	A*	`conf`	Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. HPCA Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee
2024	J	`jnl`	A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. IEEE Comput. Archit. Lett. Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee
2024	J	`jnl`	Artificial Intelligence for the Electron Ion Collider (AI4EIC). Comput. Softw. Big Sci. C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, T. Britton, Anja Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, E. Fol, S. Furletov, Y. Gao, James Giroux, N. C. Gunawardhana Waduge, Omar Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, A. Jalotra, D. Jayakodige, B. Joo, M. Junaid, N. Kalantarians, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, Y. Li, Meifeng Lin, Frank Liu, S. Liuti, G. Matousek, Matthew McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, Salvador A. Ochoa-Oregon, J. Oleniacz, J. D. Osborn, Churamani Paudel, Connor Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, Martin L. Purschke, H. Rajendran, Kishansingh Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, A. Saini, Nobuo Sato, T. Satogata, German Sborlini, Malachi Schram, David Shih, J. Singh, R. Singh, Andrzej Siódmok, J. Stevens, P. Stone, L. Suarez, K. Suresh, Abdel Nasser Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, Richard Tyson, S. Volkova, Anselm Vossen, Eric Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita
2024	J	`jnl`	Do Counterfactual Examples Complicate Adversarial Training? CoRR Eric C. Yeats, Cameron Darwin, Eduardo Ortega, Frank Liu, Hai Li
2024	J	`jnl`	Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. Trans. Mach. Learn. Res. Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh M. Halappanavar, Frank Liu, Peng Li
2024	A*	`conf`	Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. AAAI Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li
2024	—	`conf`	Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance. CCTA Bryan P. Maldonado, Frank Liu, Nolan Goth, Pradeep Ramuhalli, Matthew Howell, Ryuji Maekawa, Brian D. Degraff, Sarah Cousineau
2023	C	`conf`	A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS Narasinga Rao Miniskar, Pruek Vanna-Iampikul, Aaron R. Young, Sung Kyu Lim, Frank Liu, Jieun Yoo, Corrinne Mills, Nhan Tran, Farah Fahim, Jeffrey S. Vetter
2023	J	`jnl`	Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
2023	C	`conf`	Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. ICMLA Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu
2023	J	`jnl`	Adversarial Estimation of Topological Dimension with Harmonic Score Maps. CoRR Eric C. Yeats, Cameron Darwin, Frank Liu, Hai Li
2023	J	`jnl`	Artificial Intelligence for the Electron Ion Collider (AI4EIC). CoRR C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, Thomas Britton, Anja Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, M. Finger Jr., E. Fol, S. Furletov, Yuan Gao, James Giroux, N. C. Gunawardhana Waduge, R. Harish, Omar Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, D. Jayakodige, B. Joo, M. Junaid, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, M. Lin, Frank Liu, S. Liuti, G. Matousek, Matthew McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, Salvador A. Ochoa-Oregon, J. Oleniacz, J. D. Osborn, Churamani Paudel, Connor Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, Martin L. Purschke, Kishansingh Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, Nobuo Sato, T. Satogata, German Sborlini, Malachi Schram, David Shih, J. Singh, R. Singh, Andrzej Siódmok, P. Stone, J. Stevens, L. Suarez, K. Suresh, Abdel Nasser Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, Richard Tyson, S. Volkova, Anselm Vossen, Eric Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita
2023	A*	`conf`	AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution. AAAI Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li
2023	—	`conf`	DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets. SC Workshops Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim
2023	J	`jnl`	Deep Learning with Physics Priors as Generalized Regularizers. CoRR Frank Liu, Agniva Chowdhury
2023	J	`jnl`	Disentangling Learning Representations with Density Estimation. CoRR Eric C. Yeats, Frank Liu, Hai Helen Li
2023	J	`jnl`	Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. CoRR Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh Halappanavar, Frank Liu, Peng Li
2023	A	`conf`	FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix. DATE Gopikrishnan Raveendran Nair, Han-Sok Suh, Mahantesh Halappanavar, Frank Liu, Jae-sun Seo, Yu Cao
2023	—	`conf`	Mixed-Precision S/DGEMM Using the TF32 and TF64 Frameworks on Low-Precision AI Tensor Cores. SC Workshops Pedro Valero-Lara, Ian Jorquera, Frank Liu, Jeffrey S. Vetter
2023	J	`jnl`	Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. CoRR Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana, Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li
2023	—	`conf`	Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. ExHET@PPoPP Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter
2022	B	`conf`	Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter
2022	J	`jnl`	Efficient continual learning at the edge with progressive segmented training. Neuromorph. Comput. Eng. Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Han-Sok Suh, Shihui Yin, Gokul Krishnan, Frank Liu, Jae-sun Seo, Yu Cao
2022	—	`conf`	Evaluating HPC Kernels for Processing in Memory. MEMSYS Kazi Asifuzzaman, Mohammad Alaul Haque Monil, Frank Liu, Jeffrey S. Vetter
2022	A*	`conf`	Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2022	Misc	`conf`	IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter
2022	—	`conf`	NashAE: Disentangling Representations Through Adversarial Covariance Minimization. ECCV (27) Eric C. Yeats, Frank Liu, David Womble, Hai Helen Li
2022	J	`jnl`	NashAE: Disentangling Representations through Adversarial Covariance Minimization. CoRR Eric C. Yeats, Frank Liu, David Womble, Hai Li
2022	B	`conf`	Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter
2021	C	`conf`	A Hierarchical Task Scheduler for Heterogeneous Computing. ISC Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter
2021	C	`conf`	A Memory Efficient Lock-Free Circular Queue. ISCAS Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter
2021	B	`conf`	Evolutionary NAS in Light of Model Stability for Accurate Continual Learning. IJCNN Xiaocong Du, Zheng Li, Jingbo Sun, Frank Liu, Yu Cao
2021	J	`jnl`	Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	A*	`conf`	On the Stochastic Stability of Deep Markov Models. NeurIPS Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
2021	J	`jnl`	On the Stochastic Stability of Deep Markov Models. CoRR Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
2021	—	`conf`	Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2020	—	`conf`	Deffe: a data-efficient framework for performance characterization in domain-specific computing. CF Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter
2020	—	`conf`	Noise-based Selection of Robust Inherited Model for Accurate Continual Learning. CVPR Workshops Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao
2020	B	`conf`	Online Knowledge Acquisition with the Selective Inherited Model. IJCNN Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao
2020	—	`conf`	Scaled Population Arithmetic for Efficient Stochastic Computing. ASP-DAC He Zhou, Sunil P. Khatri, Jiang Hu, Frank Liu
2020	J	`jnl`	SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. CoRR Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
2019	A*	`conf`	A Memory-Efficient Markov Decision Process Computation Framework Using BDD-based Sampling Representation. DAC He Zhou, Sunil P. Khatri, Jiang Hu, Frank Liu
2019	B	`conf`	An Efficient Graph Compressor Based on Adaptive Prefix Encoding. SSDBM Jinho Lee, Frank Liu
2019	J	`jnl`	Single-Net Continual Learning with Progressive Segmented Training (PST). CoRR Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao
2019	C	`conf`	Single-Net Continual Learning with Progressive Segmented Training. ICMLA Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao
2019	—	`conf`	Video-Text Compliance: Activity Verification Based on Natural Language Instructions. ICCV Workshops Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah
2018	—	`conf`	Optimization of Genomics Analysis Pipeline for Scalable Performance in a Cloud Environment. BIBM Carlos H. A. Costa, Claudia Misale, Frank Liu, Marcio Silva, Hubertus Franke, Paul Crumley, Bruce D'Amora
2017	—	`conf`	Fast and Highly Scalable Bayesian MDP on a GPU Platform. BCB He Zhou, Sunil P. Khatri, Jiang Hu, Frank Liu, Cliff C. N. Sze
2017	J	`jnl`	Highlights of ICCAD 2016. IEEE Des. Test Frank Liu
2017	—	`conf`	SparkGA: A Spark Framework for Cost Effective, Fast and Accurate DNA Analysis at Scale. BCB Hamid Mushtaq, Frank Liu, Carlos Costa, Gang Liu, H. Peter Hofstee, Zaid Al-Ars
2016	J	`jnl`	From the Heart of Silicon Valley to the Hill Country - Highlights of ICCAD 2015. IEEE Des. Test Frank Liu
2016	—	`conf`	GPU acceleration for Bayesian control of Markovian genetic regulatory networks. BHI He Zhou, Jiang Hu, Sunil P. Khatri, Frank Liu, Cliff C. N. Sze, Mohammadmahdi R. Yousefi
2016	A	`ed.`	Proceedings of the 35th International Conference on Computer-Aided Design, ICCAD 2016, Austin, TX, USA, November 7-10, 2016 ICCAD Frank Liu
2015	J	`jnl`	Efficient Transient Analysis of Power Delivery Network With Clock/Power Gating by Sparse Approximation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hengliang Zhu, Yuanzhe Wang, Frank Liu, Xin Li, Xuan Zeng, Peter Feldmann
2015	A	`ed.`	Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015, Austin, TX, USA, November 2-6, 2015 ICCAD Diana Marculescu, Frank Liu
2015	—	`conf`	STAC-A2™ benchmark on POWER8. WHPCF@SC Bishop Brock, Frank Liu, Karthick Rajamani
2014	A*	`conf`	A Time-Unrolling Method to Compute Sensitivity of Dynamic Systems. DAC Frank Liu, Peter Feldmann
2014	J	`jnl`	Applying microprocessor analysis methods to river network modelling. Environ. Model. Softw. Frank Liu, Ben R. Hodges
2014	—	`conf`	IFM: A Scalable High Resolution Flood Modeling Framework. Euro-Par Swati Singhal, Sandhya Aneja, Frank Liu, Lucas Villa Real, Thomas George
2014	J	`jnl`	Rivers and Electric Networks: Crossing Disciplines in Modeling and Simulation. Found. Trends Electron. Des. Autom. Ben R. Hodges, Frank Liu
2012	A	`conf`	2012 TAU power grid simulation contest: Benchmark suite and results. ICCAD Zhuo Li, Raju Balasubramanian, Frank Liu, Sani R. Nassif
2012	A*	`conf`	Dynamic river network simulation at large scale. DAC Frank Liu, Ben R. Hodges
2012	—	`conf`	Spatial variation decomposition via sparse regression. ICICDT Wangyang Zhang, Karthik Balakrishnan, Xin Li, Duane S. Boning, Emrah Acar, Frank Liu, Rob A. Rutenbar
2011	A	`conf`	2011 TAU power grid simulation contest: Benchmark suite and results. ICCAD Zhuo Li, Raju Balasubramanian, Frank Liu, Sani R. Nassif
2011	A	`conf`	An efficient mask optimization method based on homotopy continuation technique. DATE Frank Liu, Xiaokang Shi
2011	C	`conf`	Pure nodal analysis for efficient on-chip interconnect model order reduction. ISCAS Frank Liu, Peter Feldmann
2011	J	`jnl`	Statistical Modeling and Simulation of Threshold Variation Under Random Dopant Fluctuations and Line-Edge Roughness. IEEE Trans. Very Large Scale Integr. Syst. Yun Ye, Frank Liu, Min Chen, Sani R. Nassif, Yu Cao
2011	J	`jnl`	Virtual Probe: A Statistical Framework for Low-Cost Silicon Characterization of Nanoscale Integrated Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Wangyang Zhang, Xin Li, Frank Liu, Emrah Acar, Rob A. Rutenbar, Ronald D. Blanton
2010	J	`jnl`	Guest Editors' Introduction: Compact Variability Modeling in Scaled CMOS Design. IEEE Des. Test Comput. Yu Cao, Frank Liu
2010	J	`jnl`	Modeling and Analysis of the Nonrectangular Gate Effect for Postlithography Circuit Simulation. IEEE Trans. Very Large Scale Integr. Syst. Ritu Singhal, Asha Balijepalli, Anupama R. Subramaniam, Chi-Chao Wang, Frank Liu, Sani R. Nassif, Yu Cao
2010	A	`conf`	Multi-Wafer Virtual Probe: Minimum-cost variation characterization by exploring wafer-to-wafer correlation. ICCAD Wangyang Zhang, Xin Li, Emrah Acar, Frank Liu, Rob A. Rutenbar
2010	—	`conf`	Physical design techniques for optimizing RTA-induced variations. ASP-DAC Yaoguang Wei, Jiang Hu, Frank Liu, Sachin S. Sapatnekar
2010	J	`jnl`	The Impact of NBTI Effect on Combinational Circuit: Modeling, Simulation, and Analysis. IEEE Trans. Very Large Scale Integr. Syst. Wenping Wang, Shengqi Yang, Sarvesh Bhardwaj, Sarma B. K. Vrudhula, Frank Liu, Yu Cao
2009	J	`jnl`	Finite-Point-Based Transistor Model: A New Approach to Fast Circuit Simulation. IEEE Trans. Very Large Scale Integr. Syst. Min Chen, Wei Zhao, Frank Liu, Yu Cao
2009	A	`conf`	Modeling of layout-dependent stress effect in CMOS design. ICCAD Chi-Chao Wang, Wei Zhao, Frank Liu, Min Chen, Yu Cao
2009	A*	`conf`	Predicting variability in nanoscale lithography processes. DAC Dragoljub Gagi Drmanac, Frank Liu, Li-C. Wang
2009	A*	`conf`	Variability analysis under layout pattern-dependent rapid-thermal annealing process. DAC Yun Ye, Frank Liu, Min Chen, Yu Cao
2008	—	`conf`	A Root-Finding Method for Assessing SRAM Stability. ISQED Rouwaida Kanj, Zhuo Li, Rajiv V. Joshi, Frank Liu, Sani R. Nassif
2008	—	`conf`	MAISE: An Interconnect Simulation Engine for Timing and Noise Analysis. ISQED Frank Liu, Peter Feldmann
2008	—	`ch.`	Metrics Used in Physical Design. Handbook of Algorithms for Physical Design Automation Frank Liu, Sachin S. Sapatnekar
2008	A*	`conf`	Statistical modeling and simulation of threshold variation under dopant fluctuations and line-edge roughness. DAC Yun Ye, Frank Liu, Sani R. Nassif, Yu Cao
2007	A*	`conf`	A General Framework for Spatial Correlation Modeling in VLSI Design. DAC Frank Liu
2007	—	`conf`	A New Methodology for Interconnect Parasitics Extraction Considering Photo-Lithography Effects. ASP-DAC Nancy Ying Zhou, Zhuo Li, Yuxin Tian, Weiping Shi, Frank Liu
2007	A	`conf`	An efficient method for statistical circuit simulation. ICCAD Frank Liu
2007	A	`conf`	Efficient computation of current flow in signal wires for reliability analysis. ICCAD Kanak Agarwal, Frank Liu
2007	J	`jnl`	Fast Variational Interconnect Delay and Slew Computation Using Quadratic Models. IEEE Trans. Very Large Scale Integr. Syst. Xiaoji Ye, Frank Liu, Peng Li
2007	A	`conf`	Fast statistical circuit analysis with finite-point based transistor model. DATE Min Chen, Wei Zhao, Frank Liu, Yu Cao
2007	J	`jnl`	Integrated Placement and Skew Optimization for Rotary Clocking. IEEE Trans. Very Large Scale Integr. Syst. Ganesh Venkataraman, Jiang Hu, Frank Liu
2007	J	`jnl`	Modeling Interconnect Variability Using Efficient Parametric Model Order Reduction CoRR Peng Li, Frank Liu, Xin Li, Lawrence T. Pileggi, Sani R. Nassif
2007	A*	`conf`	Modeling and Analysis of Non-Rectangular Gate for Post-Lithography Circuit Simulation. DAC Ritu Singhal, Asha Balijepalli, Anupama R. Subramaniam, Frank Liu, Sani R. Nassif, Yu Cao
2007	—	`conf`	Rigorous extraction of process variations for 65nm CMOS design. ESSCIRC Wei Zhao, Yu Cao, Frank Liu, Kanak Agarwal, Dhruva Acharyya, Sani R. Nassif, Kevin J. Nowka
2007	A*	`conf`	The Impact of NBTI on the Performance of Combinational and Sequential Circuits. DAC Wenping Wang, Shengqi Yang, Sarvesh Bhardwaj, Rakesh Vattikonda, Sarma B. K. Vrudhula, Frank Liu, Yu Cao
2006	A	`conf`	A practical method to estimate interconnect responses to variabilities. DATE Frank Liu
2006	—	`conf`	Accurate Thermal Analysis Considering Nonlinear Thermal Conductivity. ISQED Anand Ramalingam, David Z. Pan, Frank Liu, Sani R. Nassif
2006	—	`conf`	Circuit Optimization Using Scale Based Sensitivities. CICC Bhavna Agrawal, Frank Liu, Sani R. Nassif
2006	A	`conf`	Integrated placement and skew optimization for rotary clocking. DATE Ganesh Venkataraman, Jiang Hu, Frank Liu, Cliff C. N. Sze
2006	A	`conf`	Practical variation-aware interconnect delay and slew analysis for statistical timing verification. ICCAD Xiaoji Ye, Peng Li, Frank Liu
2005	A*	`conf`	A noise-driven effective capacitance method with fast embedded noise rule calculation for functional noise analysis. DAC Haihua Su, David Widiger, Chandramouli V. Kashyap, Frank Liu, Byron Krauter
2005	A	`conf`	Modeling Interconnect Variability Using Efficient Parametric Model Order Reduction. DATE Peng Li, Frank Liu, Xin Li, Lawrence T. Pileggi, Sani R. Nassif
2004	J	`jnl`	A delay metric for RC circuits based on the Weibull distribution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Frank Liu, Chandramouli V. Kashyap, Charles J. Alpert
2004	J	`jnl`	Closed-form delay and slew metrics made easy. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Charles J. Alpert, Frank Liu, Chandramouli V. Kashyap, Anirudh Devgan
2004	J	`jnl`	Closed-form expressions for extending step delay and slew metrics to ramp inputs for RC trees. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chandramouli V. Kashyap, Charles J. Alpert, Frank Liu, Anirudh Devgan
2004	A	`conf`	Sparse and efficient reduced order modeling of linear subcircuits with large number of terminals. ICCAD Peter Feldmann, Frank Liu
2004	A*	`conf`	Variational delay metrics for interconnect timing analysis. DAC Kanak Agarwal, Dennis Sylvester, David T. Blaauw, Frank Liu, Sani R. Nassif, Sarma B. K. Vrudhula
2003	A	`conf`	A Heuristic to Determine Low Leakage Sleep State Vectors for CMOS Combinational Circuits. ICCAD Rahul M. Rao, Frank Liu, Jeffrey L. Burns, Richard B. Brown
2003	—	`conf`	Closed form expressions for extending step delay and slew metrics to ramp inputs. ISPD Chandramouli V. Kashyap, Charles J. Alpert, Frank Liu, Anirudh Devgan
2003	A*	`conf`	Delay and slew metrics using the lognormal distribution. DAC Charles J. Alpert, Frank Liu, Chandramouli V. Kashyap, Anirudh Devgan
2003	A	`conf`	Full chip leakage estimation considering power supply and temperature variations. ISLPED Haihua Su, Frank Liu, Anirudh Devgan, Emrah Acar, Sani R. Nassif
2002	A	`conf`	A delay metric for RC circuits based on the Weibull distribution. ICCAD Frank Liu, Chandramouli V. Kashyap, Charles J. Alpert
2002	—	`conf`	PERI: a technique for extending delay and slew metrics to ramp inputs. Timing Issues in the Specification and Synthesis of Digital Systems Chandramouli V. Kashyap, Charles J. Alpert, Frank Liu, Anirudh Devgan
2002	—	`conf`	Test structures for delay variability. Timing Issues in the Specification and Synthesis of Digital Systems Duane S. Boning, Joseph Panganiban, Karen Gonzalez-Valentin, Sani R. Nassif, Chandler McDowell, Anne E. Gattiker, Frank Liu