b'Jian Song'

research

∙ 02/28/2023

GNOT: A General Neural Operator Transformer for Operator Learning

Learning partial differential equations' (PDEs) solution operators is an...

0 Zhongkai Hao, et al. ∙

research

∙ 02/13/2023

On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation

Extensive work has demonstrated the excellent performance of orthogonal ...

0 Xuehan Wang, et al. ∙

research

∙ 01/27/2023

Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO

XL-MIMO promises to provide ultrahigh data rates in Terahertz (THz) spec...

0 Xu Shi, et al. ∙

research

∙ 01/06/2023

Deep learning for full-field ultrasonic characterization

This study takes advantage of recent advances in machine learning to est...

0 Yang Xu, et al. ∙

research

∙ 12/14/2022

Age of Information Optimization in Multi-Channel Network with Sided Information

We consider a discrete-time multi-channel network where the destination ...

0 Yuchao Chen, et al. ∙

research

∙ 11/25/2022

Enhanced Tracking and Beamforming Codebook Design for Wideband Terahertz Massive MIMO System

True-time-delay (TTD) lines are recently applied inside Terahertz (THz) ...

0 Xu Shi, et al. ∙

research

∙ 10/16/2022

Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion

Transformer-based pre-trained models like BERT have achieved great progr...

0 Jian Song, et al. ∙

research

∙ 10/07/2022

DABERT: Dual Attention Enhanced BERT for Semantic Matching

Transformer-based pre-trained language models such as BERT have achieved...

0 Sirui Wang, et al. ∙

research

∙ 10/07/2022

Hierarchical Codebook-based Beam Training for Extremely Large-Scale Massive MIMO

Extremely large-scale multiple-input multiple-output (XL-MIMO) promises ...

0 Xu Shi, et al. ∙

research

∙ 09/15/2022

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients

Deep learning based approaches like Physics-informed neural networks (PI...

15 Zhongkai Hao, et al. ∙

research

∙ 09/15/2022

Time- vs. frequency- domain inverse elastic scattering: Theory and experiment

This study formally adapts the time-domain linear sampling method (TLSM)...

0 Xiaoli Liu, et al. ∙

research

∙ 06/09/2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing

Certified defenses such as randomized smoothing have shown promise towar...

0 Zhongkai Hao, et al. ∙

research

∙ 01/03/2022

Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC

This letter investigates physical layer security in intelligent reflecti...

0 Shiyuan Sun, et al. ∙

research

∙ 12/20/2021

Sending Timely Status Updates through Channel with Random Delay via Online Learning

In this work, we study a status update system with a source node sending...

0 Haoyue Tang, et al. ∙

research

∙ 11/26/2021

Simple Contrastive Representation Adversarial Learning for NLP Tasks

Self-supervised learning approach like contrastive learning is attached ...

0 Deshui Miao, et al. ∙

research

∙ 08/31/2021

Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems

Reconfigurable intelligent surface (RIS) has been recognized as a potent...

0 Xu Shi, et al. ∙

research

∙ 08/22/2021

Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels

In this work, we consider the problem of transmission rate selection for...

0 Haoyue Tang, et al. ∙

research

∙ 08/17/2021

GCCAD: Graph Contrastive Coding for Anomaly Detection

Graph-based anomaly detection has been widely used for detecting malicio...

0 Bo Chen, et al. ∙

research

∙ 07/25/2021

An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture

Fixating fractured pelvis fragments with the sacroiliac screw is a commo...

0 Qing Yang, et al. ∙

research

∙ 05/01/2021

Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System

Massive multiple-input multiple-output (MIMO) is one of the key techniqu...

0 Zhilin Lu, et al. ∙

research

∙ 01/17/2021

Aggregated Network for Massive MIMO CSI Feedback

In frequency division duplexing (FDD) mode, it is necessary to send the ...

0 Zhilin Lu, et al. ∙

research

∙ 11/05/2020

Binary Neural Network Aided CSI Feedback in Massive MIMO System

In massive multiple-input multiple-output (MIMO) system, channel state i...

0 Zhilin Lu, et al. ∙

research

∙ 12/11/2019

Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks

This work is motivated by the need of collecting fresh data from power-c...

0 Haoyue Tang, et al. ∙

research

∙ 10/31/2019

Multi-resolution CSI Feedback with deep learning in Massive MIMO System

In massive multiple-input multiple-output (MIMO) system, user equipment ...

0 Zhilin Lu, et al. ∙

research

∙ 10/06/2019

Optimizing Data Freshness in Time-Varying Wireless Networks with Imperfect Channel State

We consider a scenario where a base station (BS) attempts to collect fre...

0 Haoyue Tang, et al. ∙

research

∙ 08/04/2019

Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints

In this paper, we study how to collect fresh data in time-varying networ...

0 Haoyue Tang, et al. ∙

research

∙ 07/17/2019

Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates

In this work, a wireless broadcast network with a base station (BS) send...

0 Haoyue Tang, et al. ∙

research

∙ 03/29/2019

Entropy flow and De Bruijn's identity for a class of stochastic differential equations driven by fractional Brownian motion

Motivated by the classical De Bruijn's identity for the additive Gaussia...

0 Michael C. H. Choi, et al. ∙

research

∙ 02/26/2019

Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming

The combination of millimeter wave (mmWave) multiple-input multiple-outp...

0 Jintao Wang, et al. ∙

research

∙ 07/16/2018

A High-Accuracy Adaptive Beam Training Algorithm for MmWave Communication

In millimeter wave communications, beam training is an effective way to ...

0 Zihan Tang, et al. ∙

research

∙ 11/26/2013

Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration

In this paper, we present an approach to reconstruct 3-D human motion fr...

0 Jian Song, et al. ∙

Jian Song

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