Invited Talks
High-Performance Spectral Methods for Scalable Graph Learning, Adversarial Robustness Evaluation, and Electronic Design Automation, Rutgers University (Host: Bo Yuan), March 2023.
High-Performance Spectral Methods for Scalable Graph Learning, Adversarial Robustness Evaluation, and Electronic Design Automation, Temple University (Host: Liang Du), September 2022.
High-Performance Spectral Methods for Scalable Graph Embedding and Robust Machine Learning, Copper Country Workshop on Applied Mathematics, Statistics and Data Sciences, July 2022.
High-Performance Spectral Methods for Scalable Graph Learning, Adversarial Robustness Evaluation, and Electronic Design Automation, Nvidia Research (Host: Mark Ren), July 2021.
High-Performance Spectral Methods for Scalable Graph Learning, Adversarial Robustness Evaluation, and Electronic Design Automation, University of California San Diego (Host: Chung-Kuan Cheng), February 2021.
High-Performance Spectral Methods for Truly Scalable Chip Design and Graph Learning Applications, SES Research Forum: Data Science and Information Systems, Stevens Institute of Technology, June 2020.
High-Performance Spectral Methods for Scalable Graph Learning and Design Automation, Talk, Share, and Team (TST) seminar, ECE Department, Stevens Institute of Technology, November 2019.
Towards Truly-Scalable Spectral Sparsification and Reduction of Large Graphs (Host: Jinjun Xiong), seminar talk at IBM-Illinois Center for Cognitive Computing Systems Research (C3SR), November 2018.
Towards Scalable Spectral Sparsification of Large Graphs and Integrated Circuits, HC Torng Lecture at Cornell University (Host: Zhiru Zhang), October 2018.
Towards Scalable Spectral Sparsification of Large Graphs and Integrated Circuits, Keysight Technologies (Host: Boris Troyanovsky), Santa Clara, CA, June 2018.
Towards Scalable Spectral Sparsification of Large Graphs (Host: Pinghui Wang), Xi'an Jiaotong University, Xi'an, May 2018.
Towards Scalable Spectral Sparsification of Large Graphs, Integrated Circuits, and Data Networks, University of California San Diego (Host: Chung-Kuan Cheng), November 2017.
Towards Scalable Spectral Sparsification of Large Graphs, Integrated Circuits and Data Networks, Duke University (Host: Helen Li), October 2017.
Towards Practically-Efficient Spectral Sparsification of Graphs, Carnegie Mellon University (Host: Larry Pileggi), July 2017.
Towards Practically-Efficient Spectral Sparsification of Graphs, Mini-Symposium on High-Performance Spectral Algorithms (Organizer: Richard Peng), SIAM Annual Meeting (AN17), July 2017.
Scalable Spectral Sparsification of Graph Laplacians, Integrated Circuits, and Data Networks, University of Pittsburgh (Host: Alex Jones), February 2017.
Scalable Spectral Sparsification of Graph Laplacians and Integrated Circuits, invited talks at Shenzhen University (Host: Tao Yuan), September 2016.
Scalable Spectral Sparsification of Graph Laplacians and Integrated Circuits, invited talks at SYSU-CMU Joint Institute of Engineering (Host: Kai Wang), September 2016.
Scalable Spectral Sparsification of Graph Laplacians and Integrated Circuits, invited talks at University of Electronic Science and Technology of China (Host: Kai Kang), September 2016.
Scalable Spectral Sparsification of Graph Laplacians and Integrated Circuits, invited talks at Peking University (Host: Yun Liang), September 2016.
Scalable Spectral Sparsification of Graph Laplacians and Integrated Circuits, invited talks at Fudan University (Host: Xuan Zeng), September 2016.
Scalable Spectral Sparsification of Graph Laplacians and Integrated Circuits, invited talks at ShanghaiTech University (Host: Pingqiang Zhou), September 2016.
From Sparsified Graphs to Sparsified Circuits: Enabling Scalable CAD of Nanometer ICs Leveraging Heterogeneous Parallel Computing, University of Houston, March 2016.
Spectral Sparsification of Graph Laplacians and Integrated Circuits, Cadence Design Systems, Austin, November 2015.
Advanced Design Automation Methodologies for Next-Generation Power Delivery Networks, invited tutorial at IEEE/ACM Design Automation Conference (DAC), 2015.
Leveraging Heterogeneous Manycore Systems for Scalable Modeling, Simulation and Verification of Nanoscale Integrated Circuits, invited talks at the State University of New York at Buffalo, March 2015.
Leveraging Heterogeneous Manycore Systems for Scalable Modeling, Simulation and Verification of Nanoscale Integrated Circuits, invited talks at Lehigh University, March 2015.
Graph Sparsification Approaches to Scalable Integrated Circuit Modeling and Simulations, Tsinghua University (Host: Wenjian Yu), October 2014.
Graph Sparsification Approaches to Scalable Integrated Circuit Modeling and Simulations, IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT'14), October, 2014.
Leveraging Heterogeneous Manycore Systems for Scalable Modeling, Simulation. and Verification of Nanoscale Integrated Circuits, Intel Corporation, June 2014.
Leveraging Heterogeneous Manycore Systems for Scalable Modeling, Simulation, and Verification of Nanoscale Integrated Circuits, University of Electronic Science and Technology of China (Host: Kai Kang), May 2014.
Scalable Power Grid Simulations on Teraflop Heterogeneous CPU-GPU Computing Platforms, invited talk at Intel Corporation, November 2013.
Towards Scalable Modeling, Simulation, and Verification of Nanoscale Integrated Circuits, invited talks at Freescale Semiconductor, June 2013.
Towards Scalable Modeling, Simulation, and Verification of Nanoscale Integrated Circuits, invited talks at Cadence Design Systems, June 2013.
Vectorless Verification of Large Power Delivery Networks, Intel Corporation, August 2012.
Large-Scale Integrated Circuit Modeling and Simulations on Teraflop Parallel Heterogeneous Computing Platforms, University of Electronic Science and Technology of China (Host: Kai Kang), June 2012.
Large-Scale Integrated Circuit Modeling and Simulations on Energy-Efficient Parallel Heterogeneous Computing Platforms, IBM Austin Research Lab, Austin, TX, Oct 2011.
Large-Scale Integrated Circuit Modeling and Simulations on Energy-Efficient Parallel Heterogeneous Computing Platforms, Oracle Corporation, Austin, TX, Oct 2011.
Large-Scale Integrated Circuit Modeling and Simulations on Parallel Heterogeneous Computing Platforms, Seminar in Power and Energy Systems, Michigan Technological University, Oct 2011.
Accelerating Large Scale Integrated Circuit Modeling and Simulations on Emerging Parallel Graphics Processors, CS Department of Michigan Technological University, Feb 2010.
Modeling and Analysis of Large-Scale On-Chip Interconnects, ECE Department of Michigan Technological University, April 2009.
Multigrid on GPU: Tackling Power Grid Analysis on Parallel SIMT Platforms, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, Oct 2008.
Multigrid on GPU: Tackling Power Grid Analysis on Parallel SIMT Platforms, IBM Austin Research Lab, Austin, TX, Sep 2008.
SICE: Application-Specific Statistical Interconnect Corner Extraction Under Inter/Intra-Die Variations, Mentor Graphics Corporation, Wilsonville, OR, Aug 2007.