Search Results for author: Yimin Liu

Found 21 papers, 1 papers with code

Theoretical Linear Convergence of Deep Unfolding Network for Block-Sparse Signal Recovery

no code implementations18 Nov 2021 Rong Fu, Vincent Monardo, Tianyao Huang, Yimin Liu

In this paper, we consider the recovery of the high-dimensional block-sparse signal from a compressed set of measurements, where the non-zero coefficients of the recovered signal occur in a small number of blocks.

Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval

no code implementations15 Nov 2021 Rong Fu, Tianyao Huang, Lei Wang, Yimin Liu

As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing.

Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint

no code implementations2 Sep 2021 Xiang Liu, Tianyao Huang, Yimin Liu

With this constraint, we formulate and solve the signal-to-interference-plus-noise ratio (SINR) balancing problem for multiuser transmit beamforming via convex optimization.

FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation

no code implementations28 Jun 2021 Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar

The proposed FMCW-based radar-communications system (FRaC) operates at reduced cost and complexity by transmitting with a reduced number of radio frequency modules, combined with narrowband FMCW signalling.

Autonomous Vehicles

Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark

no code implementations9 Mar 2021 Yuwei Cheng, Mengxin Jiang, Jiannan Zhu, Yimin Liu

Unmanned surface vehicles (USVs) have great value with their ability to execute hazardous and time-consuming missions over water surfaces.

Simultaneous Localization and Mapping Stereo Matching Robotics

Structured LISTA for Multidimensional Harmonic Retrieval

no code implementations23 Feb 2021 Rong Fu, Yimin Liu, Tianyao Huang, Yonina C. Eldar

In this paper, we show that the mutual inhibition matrix of a MHR problem naturally has a Toeplitz structure, which means that the degrees of freedom (DoF) of the matrix can be reduced from a quadratic order to a linear order.

FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters

1 code implementation ICCV 2021 Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio

To promote the practical application for autonomous floating wastes cleaning, we present FloW, the first dataset for floating waste detection in inland water areas.

Robust Object Detection

Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar

no code implementations ICCV 2021 Yuwei Cheng, Hu Xu, Yimin Liu

In our work, we focus on a relatively unexplored task for USVs in inland waters: small object detection on water surfaces, which is of vital importance for safe autonomous navigation and USVs' certain missions such as floating waste cleaning.

Autonomous Navigation Small Object Detection

Phase Transitions in Frequency Agile Radar Using Compressed Sensing

no code implementations30 Dec 2020 Yuhan Li, Tianyao Huang, Xingyu Xu, Yimin Liu, Yonina C. Eldar

FAR has improved anti-jamming performance over traditional pulse-Doppler radars under complex electromagnetic circumstances.

Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses

no code implementations22 Dec 2020 Xiang Liu, Deborah Cohen, Tianyao Huang, Yimin Liu, Yonina C. Eldar

Our method encodes each pulse with a random phase, varying from pulse to pulse, and then processes the received samples jointly to resolve the range ambiguity.

A Random Antenna Subset Selection Jamming Method against Multistatic Radar System

no code implementations9 Sep 2020 Xiangtuan Wang, Yimin Liu, Tianyao Huang

Multistatic radar system (MSRS) is considered an effective scheme to suppress mainlobe jamming, since it has higher spatial resolution enabling jamming cancellation from spatial domain.

Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance

no code implementations3 Sep 2020 Hang Ruan, Yimin Liu, Tianyao Huang, Xiqin Wang

Then, the waveform parameters are designed with a limit on the TBP to optimize the system performance.

3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels

no code implementations16 Jul 2020 Yimin Liu, Louis J. Durlofsky

Geological parameterization enables the representation of geomodels in terms of a relatively small set of variables.

Video Classification

Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype

no code implementations23 Mar 2020 Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar

For the radar subsystem, our experiments show that the spatial agility induced by the GSM transmission improves the angular resolution and reduces the sidelobe level in the transmit beam pattern compared to using fixed antenna allocations.

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

no code implementations16 Aug 2019 Meng Tang, Yimin Liu, Louis J. Durlofsky

High-fidelity numerical simulation results for the posterior geomodels (generated by the surrogate-based data assimilation procedure) are shown to be in essential agreement with the recurrent R-U-Net predictions.

Theoretical Analysis for Extended Target Recovery in Randomized Stepped Frequency Radars

no code implementations8 Aug 2019 Lei Wang, Tianyao Huang, Yimin Liu

Randomized Stepped Frequency Radar (RSFR) is very attractive for tasks under complex electromagnetic environment.

Cognitive Radar Using Reinforcement Learning in Automotive Applications

no code implementations24 Apr 2019 PengFei Liu, Yimin Liu, Tianyao Huang, Yuxiang Lu, Xiqin Wang

The concept of cognitive radar (CR) enables radar systems to achieve intelligent adaption to a changeable environment with feedback facility from receiver to transmitter.

reinforcement-learning

A Deep-Learning-Based Geological Parameterization for History Matching Complex Models

no code implementations7 Jul 2018 Yimin Liu, Wenyue Sun, Louis J. Durlofsky

The metrics are based on summary statistics of the nonlinear filter responses of geological models to a pre-trained deep CNN.

Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing

no code implementations1 Dec 2017 Yu Sang, Laixi Shi, Yimin Liu

In this paper, we propose a micro hand gesture recognition system and methods using ultrasonic active sensing.

Hand Gesture Recognition Hand-Gesture Recognition

Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems

no code implementations28 Apr 2015 Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille

In both cases, there are prior parameters that the user can set to encourage the model to have a desired size and shape, to conform with a domain-specific definition of interpretability.

General Classification Recommendation Systems

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