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09/18/2023
Self-supervised Multi-view Clustering in Computer Vision: A Survey
Multi-view clustering (MVC) has had significant implications in cross-mo...
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09/10/2023
One-Bit-Aided Modulo Sampling for DOA Estimation
Modulo sampling or unlimited sampling has recently drawn a great deal of...
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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 ...
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06/26/2023
PMaF: Deep Declarative Layers for Principal Matrix Features
We explore two differentiable deep declarative layers, namely least squa...
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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...
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05/13/2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Asynchronous action coordination presents a pervasive challenge in Multi...
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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...
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04/25/2023
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
Spatial information is essential in various fields. How to explicitly mo...
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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...
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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 ...
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03/13/2023
xASTNN: Improved Code Representations for Industrial Practice
The application of deep learning techniques in software engineering beco...
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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...
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10/19/2022
CFAR based NOMP for Line Spectral Estimation and Detection
The line spectrum estimation problem is considered in this paper. We pro...
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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...
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09/24/2022
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation
Incomplete Multi-View Clustering aims to enhance clustering performance ...
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09/22/2022
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Advanced researches on connected vehicles have recently targeted to the ...
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06/06/2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Almost all multi-agent reinforcement learning algorithms without communi...
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04/20/2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Recently, model-based agents have achieved better performance than model...
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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...
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02/24/2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies
Deep declarative networks and other recent related works have shown how ...
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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 ...
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12/02/2021
A Discrete-event-based Simulator for Deep Learning at Edge
Novel smart environments, such as smart home, smart city, and intelligen...
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10/14/2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Multi-agent reinforcement learning often suffers from the exponentially ...
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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...
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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 ...
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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...
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04/08/2021
Learning to Coordinate via Multiple Graph Neural Networks
The collaboration between agents has gradually become an important topic...
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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...
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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...
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10/06/2020
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
Although 3D Convolutional Neural Networks (CNNs) are essential for most ...
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12/26/2019
Multidimensional Variational Line Spectra Estimation
The fundamental multidimensional line spectral estimation problem is add...
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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...
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10/24/2019
Fast and Differentiable Message Passing for Stereo Vision
Despite the availability of many Markov Random Field (MRF) optimization ...
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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...
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05/23/2019
One-bit LFMCW Radar: Spectrum Analysis and Target Detection
One-bit radar involving direct one-bit sampling is a promising technolog...
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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...
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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...
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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...
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04/06/2018
Peeking the Impact of Points of Interests on Didi
Recently, the online car-hailing service, Didi, has emerged as a leader ...
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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 ...
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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...
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11/25/2017
