Qi-Jun Zhang - researchr alias

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2024

High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural NetworkFatemeh Charoosaei, Amin Faraji, Sayed Alireza Sadrossadat, Ali Mirvakili, Weicong Na, Feng Feng, Qi-Jun Zhang. tcasI, 71(2):767-780, February 2024. [doi]

Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave ModelingAmin Faraji, Sayed Alireza Sadrossadat, Jing Jin, Weicong Na, Feng Feng, Qi-Jun Zhang. tcasI, 71(3):1245-1258, March 2024. [doi]

2023

A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear CircuitsAmin Faraji, Sayed Alireza Sadrossadat, Weicong Na, Feng Feng, Qi-Jun Zhang. tcasI, 70(7):2904-2915, July 2023. [doi]

2022

Neural Network-based Methods for Microwave Active Device ModelingJinyuan Cui, Qi-Jun Zhang. bcicts 2022: 25-28 [doi]

2020

Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Hybrid-Based Transfer FunctionsZhihao Zhao, Feng Feng, Wei Zhang, Jianan Zhang, Jing Jin, Qi-Jun Zhang. access, 8:93922-93938, 2020. [doi]

2011

The recent developments in microwave designMurat Simsek, Qi-Jun Zhang, Humayun Kabir, Yazi Cao, Neslihan Serap Sengör. ijmno, 2(2):213-228, 2011. [doi]

2008

Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networksHiroshi Ninomiya, Qi-Jun Zhang. ijcnn 2008: 3009-3014 [doi]

2000

A gradient-based binary feedback scheme for congestion control in computer networksJames Aweya, Delfin Y. Montuno, Qi-Jun Zhang, Luis Orozco-Barbosa. ijcomsys, 13(2):99-116, 2000. [doi]

1999

Huber optimization of neural networks: a robust training method [microwave modeling]Changgeng Xi, Fang Wang, Vijaya K. Devabhaktuni, Qi-Jun Zhang. ijcnn 1999: 1639-1642 [doi]

1998

Full-wave analysis of high-speed interconnects using complex frequency hoppingRamachandra Achar, Michel S. Nakhla, Qi-Jun Zhang. tcad, 17(10):997-1016, 1998. [doi]

1996

An efficient approach for moment-matching simulation of linear subnetworks with measured or tabulated dataGuowu Zheng, Qi-Jun Zhang, Michel S. Nakhla, Ramachandra Achar. iccad 1996: 20-23 [doi]

1995

Addressing high frequency effects in VLSI interconnects with full wave model and CFHRamachandra Achar, Michel S. Nakhla, Qi-Jun Zhang. iccad 1995: 53-56 [doi]

Application of neural networks in circuit analysisA. Hafid Zaabab, Qi-Jun Zhang, Michel S. Nakhla. icnn 1995: 423-426 [doi]

A high-order temporal neural network for word recognitionQi-Jun Zhang, Fang Wang, Michel S. Nakhla. icassp 1995: 3343-3346 [doi]

1994

Time domain sensitivity of high-speed VLSI interconnectsNelson Liu, Michel S. Nakhla, Qi-Jun Zhang. ijcta, 22(6):479-511, 1994. [doi]

Analysis of nonuniform, frequency-dependent high-speed interconnects using numerical inversion of Laplace transformSanjay L. Manney, Michel S. Nakhla, Qi-Jun Zhang. tcad, 13(12):1513-1525, 1994. [doi]

Signal Integrity Analysis and Optimization of VLSI Interconnects using Neural Network ModelsQi-Jun Zhang, Michel S. Nakhla. iscas 1994: 459-462

1993

Parallel Time Domain Analysis and Optimization of High-Speed VLSI InterconnectsJ. Richard Griffith, Qi-Jun Zhang, Michel S. Nakhla. ppsc 1993: 225-227

Parallel Time Domain Analysis and Optimization of Distributed VLSI InterconnectsJ. Richard Griffith, Qi-Jun Zhang, Michel S. Nakhla. iscas 1993: 1543-1546

1992

Time domain analysis of nonuniform frequency dependent high-speed interconnectsSanjay L. Manney, Michel S. Nakhla, Qi-Jun Zhang. iccad 1992: 449-453 [doi]

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