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2020 – today
- 2024
[j30]Gui Gao, Yuhao Chen, Zhuo Feng, Chuan Zhang, Dingfeng Duan, Hengchao Li, Xi Zhang:
R-LRBPNet: A Lightweight SAR Image Oriented Ship Detection and Classification Method. Remote. Sens. 16(9): 1533 (2024)- [j29]Ying Zhang
, Zhiqiang Zhao, Zhuo Feng:
diGRASS: Directed Graph Spectral Sparsification via Spectrum-Preserving Symmetrization. ACM Trans. Knowl. Discov. Data 18(4): 102:1-102:25 (2024) - [c49]Ali Aghdaei, Zhuo Feng:
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition. DAC 2024: 276:1-276:6 - [c48]John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng:
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks. DAC 2024: 277:1-277:6 - [i20]Xiaoxue Han, Zhuo Feng, Yue Ning:
A Topology-aware Graph Coarsening Framework for Continual Graph Learning. CoRR abs/2401.03077 (2024) - [i19]Wuxinlin Cheng, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng:
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds. CoRR abs/2402.08653 (2024) - [i18]Ali Aghdaei, Zhuo Feng:
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition. CoRR abs/2402.16990 (2024) - [i17]Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao:
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents. CoRR abs/2402.17896 (2024) - [i16]Soumen Sikder Shuvo, Ali Aghdaei, Zhuo Feng:
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks. CoRR abs/2406.10500 (2024) - [i15]John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng:
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks. CoRR abs/2407.07358 (2024) - 2023
- [j28]Zhuo Feng, Jinbo Song, Xiaoxing Yang, Ran Guo:
Contractual flexibility, firm effort, and subsidy design: A comparison of PPP project contracts. Eur. J. Oper. Res. 307(1): 484-496 (2023) - [j27]Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
SF-SGL: Solver-Free Spectral Graph Learning From Linear Measurements. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1235-1249 (2023) - [j26]Zhiqiang Zhao, Zhuo Feng:
A Multilevel Spectral Framework for Scalable Vectorless Power/Thermal Integrity Verification. ACM Trans. Design Autom. Electr. Syst. 28(1): 11:1-11:25 (2023) - [i14]Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements. CoRR abs/2302.04384 (2023) - 2022
- [j25]Zhuo Feng, Qiao-Chu He, Guangrui Ma:
Mitigating poverty through solar panels adoption in developing economies. Decis. Sci. 53(6): 1003-1023 (2022) - [j24]Zhiqiang Liu, Wenjian Yu, Zhuo Feng:
feGRASS: Fast and Effective Graph Spectral Sparsification for Scalable Power Grid Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 681-694 (2022) - [c47]Yongyu Wang, Zhuo Feng:
Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification. BMVC 2022: 307 - [c46]Ali Aghdaei, Zhuo Feng:
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering. ICCAD 2022: 14:1-14:9 - [c45]Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang:
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. LoG 2022: 3 - [c44]Yongyu Wang, Zhiqiang Zhao, Zhuo Feng:
Scalable Graph Topology Learning via Spectral Densification. WSDM 2022: 1099-1108 - [i13]Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang:
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. CoRR abs/2201.12741 (2022) - [i12]Ali Aghdaei, Zhuo Feng:
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering. CoRR abs/2210.14813 (2022) - 2021
- [c43]Zhuo Feng:
SGL: Spectral Graph Learning from Measurements. DAC 2021: 727-732 - [c42]Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng:
HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering. ICCAD 2021: 1-9 - [c41]Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng:
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. ICML 2021: 1814-1824 - [c40]Zhiqiang Zhao, Ying Zhang, Zhuo Feng:
Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening. WSDM 2021: 869-877 - [i11]Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng:
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. CoRR abs/2102.03716 (2021) - [i10]Zhuo Feng:
SGL: Spectral Graph Learning from Measurements. CoRR abs/2104.07867 (2021) - [i9]Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng:
HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering. CoRR abs/2108.07901 (2021) - 2020
- [j23]Martin Imre, Jun Tao, Yongyu Wang, Zhiqiang Zhao, Zhuo Feng, Chaoli Wang:
Spectrum-preserving sparsification for visualization of big graphs. Comput. Graph. 87: 89-102 (2020) - [j22]Zhuo Feng:
GRASS: Graph Spectral Sparsification Leveraging Scalable Spectral Perturbation Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4944-4957 (2020) - [c39]Zhiqiang Zhao, Zhuo Feng:
A Spectral Approach to Scalable Vectorless Thermal Integrity Verification. DATE 2020: 412-417 - [c38]Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
SF-GRASS: Solver-Free Graph Spectral Sparsification. ICCAD 2020: 148:1-148:8 - [c37]Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng:
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding. ICLR 2020 - [i8]Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
SF-GRASS: Solver-Free Graph Spectral Sparsification. CoRR abs/2008.07633 (2020)
2010 – 2019
- 2019
- [c36]Zhiqiang Zhao, Zhuo Feng:
Effective-Resistance Preserving Spectral Reduction of Graphs. DAC 2019: 109 - [c35]Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
Towards Scalable Spectral Sparsification of Directed Graphs. ICESS 2019: 1-2 - [i7]Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng:
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding. CoRR abs/1910.02370 (2019) - [i6]Zhuo Feng:
GRASS: Spectral Sparsification Leveraging Scalable Spectral Perturbation Analysis. CoRR abs/1911.04382 (2019) - [i5]Yongyu Wang, Zhiqiang Zhao, Zhuo Feng:
GRASPEL: Graph Spectral Learning at Scale. CoRR abs/1911.10373 (2019) - 2018
- [c34]Zhuo Feng:
Similarity-aware spectral sparsification by edge filtering. DAC 2018: 152:1-152:6 - [r2]Zhuo Feng, Pritam Gundecha, Huan Liu:
Social Provenance. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i4]Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
Towards Scalable Spectral Sparsification of Directed Graphs. CoRR abs/1812.04165 (2018) - [i3]Zhiqiang Zhao, Yongyu Wang, Zhuo Feng:
Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization. CoRR abs/1812.08942 (2018) - 2017
- [c33]Zhiqiang Zhao, Zhuo Feng:
A Spectral Graph Sparsification Approach to Scalable Vectorless Power Grid Integrity Verification. DAC 2017: 68:1-68:6 - [c32]Zhiqiang Zhao, Yongyu Wang, Zhuo Feng:
SAMG: Sparsified graph-theoretic algebraic multigrid for solving large symmetric diagonally dominant (SDD) matrices. ICCAD 2017: 601-606 - [i2]Yongyu Wang, Zhuo Feng:
Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification. CoRR abs/1710.04584 (2017) - [i1]Zhuo Feng:
Similarity-Aware Spectral Sparsification by Edge Filtering. CoRR abs/1711.05135 (2017) - 2016
- [c31]Zhuo Feng:
Spectral graph sparsification in nearly-linear time leveraging efficient spectral perturbation analysis. DAC 2016: 57:1-57:6 - [c30]Lengfei Han, Zhuo Feng:
TinySPICE plus: scaling up statistical SPICE simulations on GPU leveraging shared-memory based sparse matrix solution techniques. ICCAD 2016: 99 - 2015
- [j21]Lengfei Han, Xueqian Zhao, Zhuo Feng:
An Adaptive Graph Sparsification Approach to Scalable Harmonic Balance Analysis of Strongly Nonlinear Post-Layout RF Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(2): 173-185 (2015) - [j20]Xueqian Zhao, Lengfei Han, Zhuo Feng:
A Performance-Guided Graph Sparsification Approach to Scalable and Robust SPICE-Accurate Integrated Circuit Simulations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(10): 1639-1651 (2015) - [c29]Lengfei Han, Zhuo Feng:
Transient-simulation guided graph sparsification approach to scalable harmonic balance (HB) analysis of post-layout RF circuits leveraging heterogeneous CPU-GPU computing systems. DAC 2015: 185:1-185:6 - 2014
- [j19]I. Esra Büyüktahtakin, Zhuo Feng, Ferenc Szidarovszky:
A multi-objective optimization approach for invasive species control. J. Oper. Res. Soc. 65(11): 1625-1635 (2014) - [j18]Zhuo Feng:
Fast RC Reduction of Flip-Chip Power Grids Using Geometric Templates. IEEE Trans. Very Large Scale Integr. Syst. 22(11): 2357-2365 (2014) - [c28]Xueqian Zhao, Zhuo Feng, Cheng Zhuo:
An efficient spectral graph sparsification approach to scalable reduction of large flip-chip power grids. ICCAD 2014: 218-223 - [r1]Zhuo Feng, Pritam Gundecha, Huan Liu:
Social Provenance. Encyclopedia of Social Network Analysis and Mining 2014: 1920-1923 - 2013
- [b1]Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, Huan Liu:
Provenance Data in Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2013, ISBN 9781608457830, pp. 1-84 - [j17]Zhuo Feng:
Scalable Multilevel Vectorless Power Grid Voltage Integrity Verification. IEEE Trans. Very Large Scale Integr. Syst. 21(8): 1388-1397 (2013) - [j16]Zhuo Feng, Peng Li:
Fast Thermal Analysis on GPU for 3D ICs With Integrated Microchannel Cooling. IEEE Trans. Very Large Scale Integr. Syst. 21(8): 1526-1539 (2013) - [c27]Zhuo Feng, Pritam Gundecha, Huan Liu:
Recovering information recipients in social media via provenance. ASONAM 2013: 706-711 - [c26]Pritam Gundecha, Zhuo Feng, Huan Liu:
Seeking provenance of information using social media. CIKM 2013: 1691-1696 - [c25]Zhuo Feng:
Scalable vectorless power grid current integrity verification. DAC 2013: 86:1-86:8 - [c24]Lengfei Han, Xueqian Zhao, Zhuo Feng:
TinySPICE: a parallel SPICE simulator on GPU for massively repeated small circuit simulations. DAC 2013: 89:1-89:8 - [c23]Zhuo Feng:
Large-scale flip-chip power grid reduction with geometric templates. DATE 2013: 1679-1682 - [c22]Lengfei Han, Xueqian Zhao, Zhuo Feng:
An efficient graph sparsification approach to scalable harmonic balance (HB) analysis of strongly nonlinear RF circuits. ICCAD 2013: 494-499 - [c21]Pritam Gundecha, Suhas Ranganath, Zhuo Feng, Huan Liu:
A tool for collecting provenance data in social media. KDD 2013: 1462-1465 - 2012
- [j15]Guanpi Lai, Qingpeng Zhang, Ding Wen, Yanqing Gao, Zhuo Feng, Guanyan Ke, Hao Lu:
A Prototype of the Next-Generation Journal System for ITS: Academic Social Networking and Media Based on Web 3.0. IEEE Trans. Intell. Transp. Syst. 13(3): 1078-1087 (2012) - [c20]Xueqian Zhao, Zhuo Feng:
Towards efficient SPICE-accurate nonlinear circuit simulation with on-the-fly support-circuit preconditioners. DAC 2012: 1119-1124 - [c19]Xueqian Zhao, Zhuo Feng:
GPSCP: A general-purpose support-circuit preconditioning approach to large-scale SPICE-accurate nonlinear circuit simulations. ICCAD 2012: 429-435 - 2011
- [j14]I. Esra Büyüktahtakin, Zhuo Feng, George Frisvold, Ferenc Szidarovszky, Aaryn Olsson:
A dynamic model of controlling invasive species. Comput. Math. Appl. 62(9): 3326-3333 (2011) - [j13]Zhuo Feng, Xueqian Zhao, Zhiyu Zeng:
Robust Parallel Preconditioned Power Grid Simulation on GPU With Adaptive Runtime Performance Modeling and Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(4): 562-573 (2011) - [j12]Xueqian Zhao, Yonghe Guo, Xiaodao Chen, Zhuo Feng, Shiyan Hu:
Hierarchical Cross-Entropy Optimization for Fast On-Chip Decap Budgeting. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(11): 1610-1620 (2011) - [j11]Zhiyu Zeng, Zhuo Feng, Peng Li, Vivek Sarin:
Locality-Driven Parallel Static Analysis for Power Delivery Networks. ACM Trans. Design Autom. Electr. Syst. 16(3): 28:1-28:17 (2011) - [j10]Zhuo Feng, Zhiyu Zeng, Peng Li:
Parallel On-Chip Power Distribution Network Analysis on Multi-Core-Multi-GPU Platforms. IEEE Trans. Very Large Scale Integr. Syst. 19(10): 1823-1836 (2011) - [c18]Xueqian Zhao, Zhuo Feng:
Fast multipole method on GPU: tackling 3-D capacitance extraction on massively parallel SIMD platforms. DAC 2011: 558-563 - [c17]Zhiyu Zeng, Tong Xu, Zhuo Feng, Peng Li:
Fast static analysis of power grids: Algorithms and implementations. ICCAD 2011: 488-493 - [c16]Xueqian Zhao, Jia Wang, Zhuo Feng, Shiyan Hu:
Power grid analysis with hierarchical support graphs. ICCAD 2011: 543-547 - [c15]Zhiyu Zeng, Zhuo Feng, Peng Li:
Efficient checking of power delivery integrity for power gating. ISQED 2011: 663-670 - 2010
- [j9]Fei-Yue Wang, Daniel Zeng, James A. Hendler, Qingpeng Zhang, Zhuo Feng, Yanqing Gao, Hui Wang, Guanpi Lai:
A Study of the Human Flesh Search Engine: Crowd-Powered Expansion of Online Knowledge. Computer 43(8): 45-53 (2010) - [j8]Zhuo Feng, Qingpeng Zhang, Xin Li, Guanyan Ke, Gang Xiong:
A Bibliographic Analysis of IEEE Intelligent Systems Publications. IEEE Intell. Syst. 25(6): 59-66 (2010) - [j7]Qingpeng Zhang, Zhuo Feng, Xin Li, Xiaolong Zheng, Liu Zhang:
25 Years of Collaborations in IEEE Intelligent Systems. IEEE Intell. Syst. 25(6): 67-75 (2010) - [j6]Ganesh Venkataraman, Zhuo Feng, Jiang Hu, Peng Li:
Combinatorial Algorithms for Fast Clock Mesh Optimization. IEEE Trans. Very Large Scale Integr. Syst. 18(1): 131-141 (2010) - [c14]Zhuo Feng, Zhiyu Zeng:
Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis. DAC 2010: 661-666 - [c13]Zhiyu Zeng, Xiaoji Ye, Zhuo Feng, Peng Li:
Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation. DAC 2010: 831-836 - [c12]Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu:
Parallel hierarchical cross entropy optimization for on-chip decap budgeting. DAC 2010: 843-848 - [c11]Zhuo Feng, Peng Li:
Fast thermal analysis on GPU for 3D-ICs with integrated microchannel cooling. ICCAD 2010: 551-555
2000 – 2009
- 2009
- [j5]Zhuo Feng, Peng Li, Zhuoxiang Ren:
SICE: design-dependent statistical interconnect corner extraction under inter/intra-die variations. IET Circuits Devices Syst. 3(5): 248-258 (2009) - [j4]Zhuo Feng, Peng Li, Yaping Zhan:
An On-the-Fly Parameter Dimension Reduction Approach to Fast Second-Order Statistical Static Timing Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(1): 141-153 (2009) - [j3]Zhuo Feng, Peng Li:
Performance-Oriented Parameter Dimension Reduction of VLSI Circuits. IEEE Trans. Very Large Scale Integr. Syst. 17(1): 137-150 (2009) - [c10]Zhiyu Zeng, Peng Li, Zhuo Feng:
Parallel partitioning based on-chip power distribution network analysis using locality acceleration. ISQED 2009: 776-781 - 2008
- [j2]Guo Yu, Wei Dong, Zhuo Feng, Peng Li:
Statistical Static Timing Analysis Considering Process Variation Model Uncertainty. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(10): 1880-1890 (2008) - [c9]Zhuo Feng, Peng Li:
Multigrid on GPU: tackling power grid analysis on parallel SIMT platforms. ICCAD 2008: 647-654 - 2007
- [j1]Peng Li, Zhuo Feng, Emrah Acar:
Characterizing Multistage Nonlinear Drivers and Variability for Accurate Timing and Noise Analysis. IEEE Trans. Very Large Scale Integr. Syst. 15(11): 1205-1214 (2007) - [c8]Zhuo Feng, Peng Li, Yaping Zhan:
Fast Second-Order Statistical Static Timing Analysis Using Parameter Dimension Reduction. DAC 2007: 244-249 - [c7]Guo Yu, Wei Dong, Zhuo Feng, Peng Li:
A Framework for Accounting for Process Model Uncertainty in Statistical Static Timing Analysis. DAC 2007: 829-834 - [c6]Zhuo Feng, Peng Li:
A methodology for timing model characterization for statistical static timing analysis. ICCAD 2007: 725-729 - [c5]Wei Dong, Zhuo Feng, Peng Li:
Efficient VCO phase macromodel generation considering statistical parametric variations. ICCAD 2007: 874-878 - [c4]Zhuo Feng, Guo Yu, Peng Li:
Reducing the Complexity of VLSI Performance Variation Modeling Via Parameter Dimension Reduction. ISQED 2007: 737-742 - 2006
- [c3]Ganesh Venkataraman, Zhuo Feng, Jiang Hu, Peng Li:
Combinatorial algorithms for fast clock mesh optimization. ICCAD 2006: 563-567 - [c2]Zhuo Feng, Peng Li:
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression. ICCAD 2006: 868-875 - [c1]Zhuo Feng, Peng Li, Jiang Hu:
Efficient Model Update for General Link-Insertion Networks. ISQED 2006: 43-50
Coauthor Index
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