Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

dr. Yu Zhang

Guest
Electronic Components, Technology and Materials (ECTM), Department of Microelectronics

Biography

Yu Zhang joined ECTM in TU Delft as a visiting scholar from March 2018. Her current work focuses on the preparation of size-controllable Cu nanomaterials with anti-oxidation by spark ablation method, and their low-temperature sintering process in microelectronic packaging and interconnection. She obtained her PhD degree in physical chemistry from Shenzhen Institute of Advanced Technology, University of Chinese Academy of Sciences.

Her research interests encompass:

  1. Nano/micro Materials and Applications in Conductive Ink/paste and applications for flexible printing electronics;
  2. Low-temperature Sintering Process in Electronic Packaging Interconnect;
  3. Flip Chip Packaging for High Power LED System-on-Chip.

Publications

  1. Efficient Angle Estimation for MIMO Systems via Redundancy Reduction Representation
    Zhang, Yu; Wang, Yue; Tian, Zhi; Leus, G.; Zhang, Gong;
    IEEE Signal Processing Letters,
    Volume 29, pp. 1052--1056, 2022. DOI: 10.1109/LSP.2022.3164850

  2. Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors
    Zhang, Yu; Wang, Yue; Tian, Zhi; Leus, G.; Zhang, Gong;
    IEEE Transactions on Signal Processing,
    Volume 70, pp. 1224--1240, 2022. DOI: 10.1109/TSP.2022.3150964

  3. Low-Complexity Gridless 2D Harmonic Retrieval via Decoupled-ANM Covariance Reconstruction
    Yu Zhang; Yue Wang; Zhi Tian; G. Leus; Gong Zhang;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 1876-1880, August 2020.
    document

  4. Efficient Super-Resolution Two-Dimensional Harmonic Retrieval Via Enhanced Low-Rank Structured Covariance Reconstruction
    Yue Wang; Yu Zhang; Zhi Tian; G. Leus; Gong Zhang;
    In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 5720-5724, 2020. DOI: 10.1109/ICASSP40776.2020.9054756
    document

  5. Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems
    Yue Wang; Yu Zhang; Zhi Tian; Geert Leus; Gong Zhang;
    IEEE Journal of Selected Topics in Signal Processing,
    Volume 13, Issue 5, pp. 947--960, 2019. ISSN: 1932-4553. DOI: 10.1109/JSTSP.2019.2937632
    Abstract: ... This paper develops efficient channel estimation techniques for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems under practical hardware limitations, including an arbitrary array geometry and a hybrid hardware structure. Taking on an angle-based approach, this work adopts a generalized array manifold separation approach via Jacobi-Anger approximation, which transforms a non-ideal, non-uniform array manifold into a virtual array domain with a desired uniform geometric structure to facilitate super-resolution angle estimation and channel acquisition. Accordingly, structure-based optimization techniques are developed to effectively estimate both the channel covariance and the instantaneous channel state information (CSI) within a short sensing time. The different time-varying scales of channel path angles versus path gains are capitalized to design a two-step CSI estimation scheme that can quickly sense fading channels. Theoretical results are provided on the fundamental limits of the proposed technique in terms of sample efficiency. For computational efficiency, a fast iterative algorithm is developed via the alternating direction method of multipliers. Other related issues such as spurious-peak cancellation in non-uniform linear arrays and extensions to higher-dimensional cases are also discussed. Simulations testify the effectiveness of the proposed approaches in hybrid mmWave massive MIMO systems with arbitrary arrays.

    document

  6. PVP-Mediated Galvanic Replacement Synthesis of Smart Elliptic Cu− Ag Nanoflakes for Electrically Conductive Pastes
    Yu Zhang; Pengli Zhu; Gang Li; Zhen Cui; Chengqiang Cui; Kai Zhang; Jian Gao; Xin Chen; GuoQi Zhang; Rong Sun; Chingping Wong;
    ACS Applied Materials & Interfaces,
    2019.

  7. Angle-Based Channel Estimation with Arbitrary Arrays
    Yue Wang; Yu Zhang; Zhi Tian; G. Leus; Gong Zhang;
    In Proc. of IEEE Global Communications Conf. (GLOBECOM),
    Waikoloa, Hawaii, USA, December 2019. DOI: 10.1109/GLOBECOM38437.2019.9013215

  8. Super-Resolution Spatial Channel Covariance Estimation for Hybrid Precoding in mmWave Massive MIMO
    Yu Zhang; Yue Wang; Zhi Tian; G. Leus; Gong Zhang;
    In Proc. of IEEE Global Communications Conf. (GLOBECOM),
    Waikoloa, Hawaii, USA, December 2019. DOI: 10.1109/GLOBECOM38437.2019.9014327

  9. Big Data Sketching with Model Mismatch
    S.P. Chepuri; Yu Zhang; G. Leus; G.B. Giannakis;
    In Proc. of the Asilomar Conference on Signals, systems, and Computers (Asilomar 2015),
    Pacific Grove, California, USA, November 2015.

BibTeX support

Last updated: 30 Nov 2019

Yu Zhang

Alumnus
  • Left in 2019