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Shi Jin

9 accepted papers

2026

Discrete-Periodic Ambiguity Function of Random Communication Signals

ICASSP 2026oral

This paper investigates the ambiguity function (AF) of communication signals carrying random data payloads, which is a fundamental metric characterizing sensing capability in ISAC systems. We first develop a unified analytical framework to evaluate the AF of communication-centric ISAC signals constr…

Cited by 0SourcePDFScholar
2025

How Particle System Theory Enhances Hypergraph Message Passing

NeurIPS 2025poster

Hypergraphs effectively model higher-order relationships in natural phenomena, capturing complex interactions beyond pairwise connections. We introduce a novel hypergraph message passing framework inspired by interacting particle systems, where hyperedges act as fields inducing shared node dynamics.…

Cited by 0SourcecodeScholar
2023

ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks

ICLR 2023top-25%

Neural message passing is a basic feature extraction unit for graph-structured data considering neighboring node features in network propagation from one layer to the next. We model such process by an interacting particle system with attractive and repulsive forces and the Allen-Cahn force arising i…

2020

Decentralized expected consistent signal recovery for quantization Measurements

ICASSP 2020accepted

Signal recovery through coarse quantization of a linear transform output has many applications in engineering, such as channel estimation and signal detection in massive MIMO systems. A recently proposed scheme, known as generalized expectation consistent signal recovery (GEC-SR), can achieve Bayesi…

Cited by 0SourceScholar
2020

Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers

ICASSP 2020accepted

The combination of orthogonal frequency modulation (OFDM) and multiple-input multiple-output (MIMO) systems plays an important role in modern communication systems. In order to meet the growing throughput demands, future MIMO-OFDM receivers are expected to utilize a massive number of antennas, opera…

Cited by 0SourceScholar
2019

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

ICASSP 2019accepted

Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learning based on orthogonal approximate message passing (DL-OAMP) is used to address these problems. The DL-OAMP receiver in…

Cited by 0SourceScholar
2018

Automatic 3D Indoor Scene Modeling From Single Panorama

CVPR 2018poster

We describe a system that automatically extracts 3D geometry of an indoor scene from a single 2D panorama. Our system recovers the spatial layout by finding the floor, walls, and ceiling; it also recovers shapes of typical indoor objects such as furniture. Using sampled perspective sub-views, we ext…

Cited by 67SourcePDFScholar
2018

Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning

ECCV 2018poster

The bullet-time effect, presented in feature film ``The Matrix", has been widely adopted in feature films and TV commercials to create an amazing stopping-time illusion. Producing such visual effects, however, typically requires using a large number of cameras/images surrounding the subject. In this…

Cited by 13SourcePDFScholar
2016

Optimal pilot length for uplink massive MIMO systems with pilot reuse

ICASSP 2016accepted

We investigate the achievable uplink rate of multi-cell massive multi-input multi-output (MIMO) systems considering pilot reuse across cells. Based on tractable approximations for the achievable rates, we derive the optimal pilot length to maximize the sum rate per cell. Interestingly, it is found t…

Cited by 0SourceScholar