b'Zhiwei Xu'

research

∙ 09/18/2023

Self-supervised Multi-view Clustering in Computer Vision: A Survey

Multi-view clustering (MVC) has had significant implications in cross-mo...

0 Jiatai Wang, et al. ∙

research

∙ 09/10/2023

One-Bit-Aided Modulo Sampling for DOA Estimation

Modulo sampling or unlimited sampling has recently drawn a great deal of...

0 Qi Zhang, et al. ∙

research

∙ 08/07/2023

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents

With recent advancements in natural language processing, Large Language ...

0 Jingqing Ruan, et al. ∙

research

∙ 06/26/2023

PMaF: Deep Declarative Layers for Principal Matrix Features

We explore two differentiable deep declarative layers, namely least squa...

0 Zhiwei Xu, et al. ∙

research

∙ 06/24/2023

Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks

We explore conditions for when the gradient of a deep declarative node c...

0 Stephen Gould, et al. ∙

research

∙ 05/13/2023

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems

Asynchronous action coordination presents a pervasive challenge in Multi...

0 Bin Zhang, et al. ∙

research

∙ 04/28/2023

From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL

Centralized training with decentralized execution (CTDE) is a widely-use...

0 Dapeng Li, et al. ∙

research

∙ 04/25/2023

SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning

Spatial information is essential in various fields. How to explicitly mo...

0 Dapeng Li, et al. ∙

research

∙ 04/20/2023

Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning

In multi-agent reinforcement learning (MARL), self-interested agents att...

0 Bin Zhang, et al. ∙

research

∙ 03/21/2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning

In high-dimensional time-series analysis, it is essential to have a set ...

0 Dapeng Li, et al. ∙

research

∙ 03/13/2023

xASTNN: Improved Code Representations for Industrial Practice

The application of deep learning techniques in software engineering beco...

0 Zhiwei Xu, et al. ∙

research

∙ 02/04/2023

Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning

Value decomposition methods have gradually become popular in the coopera...

0 Zhiwei Xu, et al. ∙

research

∙ 10/19/2022

CFAR based NOMP for Line Spectral Estimation and Detection

The line spectrum estimation problem is considered in this paper. We pro...

0 Menghuai Xu, et al. ∙

research

∙ 09/28/2022

Clustering-Induced Generative Incomplete Image-Text Clustering (CIGIT-C)

The target of image-text clustering (ITC) is to find correct clusters by...

0 Dongjin Guo, et al. ∙

research

∙ 09/24/2022

Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation

Incomplete Multi-View Clustering aims to enhance clustering performance ...

0 Jiatai Wang, et al. ∙

research

∙ 09/22/2022

Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles

Advanced researches on connected vehicles have recently targeted to the ...

0 Xiaoyan Liu, et al. ∙

research

∙ 06/06/2022

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning

Almost all multi-agent reinforcement learning algorithms without communi...

0 Zhiwei Xu, et al. ∙

research

∙ 04/20/2022

Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning

Recently, model-based agents have achieved better performance than model...

0 Zhiwei Xu, et al. ∙

research

∙ 03/07/2022

Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network

The performance of deep reinforcement learning (DRL) in single-agent vid...

0 Bin Zhang, et al. ∙

research

∙ 02/24/2022

Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies

Deep declarative networks and other recent related works have shown how ...

0 Stephen Gould, et al. ∙

research

∙ 01/12/2022

MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm

Monocular 3D object detection is very challenging in autonomous driving ...

0 Zhouzhen Xie, et al. ∙

research

∙ 12/02/2021

A Discrete-event-based Simulator for Deep Learning at Edge

Novel smart environments, such as smart home, smart city, and intelligen...

0 Xiaoyan Liu, et al. ∙

research

∙ 10/14/2021

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism

Multi-agent reinforcement learning often suffers from the exponentially ...

0 Zhiwei Xu, et al. ∙

research

∙ 07/15/2021

Joint CFO, Gridless Channel Estimation and Data Detection for Underwater Acoustic OFDM Systems

In this paper, we propose an iterative receiver based on gridless variat...

0 Lei Wan, et al. ∙

research

∙ 06/22/2021

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning

In the real world, many tasks require multiple agents to cooperate with ...

0 Zhiwei Xu, et al. ∙

research

∙ 05/13/2021

SIDE: I Infer the State I Want to Learn

As one of the solutions to the Dec-POMDP problem, the value decompositio...

0 Zhiwei Xu, et al. ∙

research

∙ 04/08/2021

Learning to Coordinate via Multiple Graph Neural Networks

The collaboration between agents has gradually become an important topic...

0 Zhiwei Xu, et al. ∙

research

∙ 10/24/2020

Adaptive In-network Collaborative Caching for Enhanced Ensemble Deep Learning at Edge

To enhance the quality and speed of data processing and protect the priv...

0 Yana Qin, et al. ∙

research

∙ 10/09/2020

Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder

Even though deep learning greatly improves the performance of semantic s...

0 Zhiwei Xu, et al. ∙

research

∙ 10/06/2020

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

Although 3D Convolutional Neural Networks (CNNs) are essential for most ...

14 Zhiwei Xu, et al. ∙

research

∙ 12/26/2019

Multidimensional Variational Line Spectra Estimation

The fundamental multidimensional line spectral estimation problem is add...

0 Qi Zhang, et al. ∙

research

∙ 11/22/2019

Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning

The recovery of a low rank matrix from a subset of noisy low-precision q...

0 Jiang Zhu, et al. ∙

research

∙ 10/24/2019

Fast and Differentiable Message Passing for Stereo Vision

Despite the availability of many Markov Random Field (MRF) optimization ...

28 Zhiwei Xu, et al. ∙

research

∙ 08/11/2019

Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition

Image recognition is an important topic in computer vision and image pro...

3 Haoqian Wang, et al. ∙

research

∙ 05/23/2019

One-bit LFMCW Radar: Spectrum Analysis and Target Detection

One-bit radar involving direct one-bit sampling is a promising technolog...

0 Benzhou Jin, et al. ∙

research

∙ 05/14/2018

A Two-stage Approach to Estimate CFO and Channel with One-bit ADCs

In this paper, we propose a two-stage approach to estimate the carrier f...

0 Hangting Cao, et al. ∙

research

∙ 05/08/2018

Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing

In this letter, a binary sparse Bayesian learning (BSBL) algorithm is pr...

0 Jiang Zhu, et al. ∙

research

∙ 05/08/2018

Asymptotically Optimal One-Bit Quantizer Design for Weak-signal Detection in Generalized Gaussian Noise and Lossy Binary Communication Channel

In this paper, quantizer design for weak-signal detection under arbitrar...

0 Guanyu Wang, et al. ∙

research

∙ 04/06/2018

Peeking the Impact of Points of Interests on Didi

Recently, the online car-hailing service, Didi, has emerged as a leader ...

0 Yonghong Tian, et al. ∙

research

∙ 03/17/2018

Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors

In this paper, the line spectral estimation (LSE) problem with multiple ...

0 Qi Zhang, et al. ∙

research

∙ 02/05/2018

Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors

A Newtonized orthogonal matching pursuit (NOMP) algorithm is proposed to...

0 Lin Han, et al. ∙

research

∙ 11/25/2017

Towards Accurate Deceptive Opinion Spam Detection based on Word Order-preserving CNN

As a mainly network of Internet naval activities, the deceptive opinion ...

0 Siyuan Zhao, et al. ∙

Zhiwei Xu

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