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08/28/2023
RecMind: Large Language Model Powered Agent For Recommendation
Recent advancements in instructing Large Language Models (LLMs) to utili...
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08/17/2023
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling
Precision medicine fundamentally aims to establish causality between dys...
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08/07/2023
Dual Aggregation Transformer for Image Super-Resolution
Transformer has recently gained considerable popularity in low-level vis...
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06/26/2023
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction
Traversability prediction is a fundamental perception capability for aut...
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06/24/2023
Analysis of dynamic restricted mean survival time based on pseudo-observations
In clinical follow-up studies with a time-to-event end point, the differ...
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06/19/2023
Temporal Data Meets LLM – Explainable Financial Time Series Forecasting
This paper presents a novel study on harnessing Large Language Models' (...
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05/23/2023
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
Conversational AI systems such as Alexa need to understand defective que...
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05/22/2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Diffusion models (DMs) have recently been introduced in image deblurring...
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05/12/2023
PALR: Personalization Aware LLMs for Recommendation
Large language models (LLMs) have recently received significant attentio...
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05/12/2023
Decentralized Learning over Wireless Networks: The Effect of Broadcast with Random Access
In this work, we focus on the communication aspect of decentralized lear...
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05/02/2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data
In this work, we consider a Federated Edge Learning (FEEL) system where ...
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04/09/2023
Learning to Tokenize for Generative Retrieval
Conventional document retrieval techniques are mainly based on the index...
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03/11/2023
Recursive Generalization Transformer for Image Super-Resolution
Transformer architectures have exhibited remarkable performance in image...
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03/05/2023
IDA: Informed Domain Adaptive Semantic Segmentation
Mixup-based data augmentation has been validated to be a critical stage ...
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03/05/2023
SePaint: Semantic Map Inpainting via Multinomial Diffusion
Prediction beyond partial observations is crucial for robots to navigate...
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02/22/2023
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
Clinicians prescribe antibiotics by looking at the patient's health reco...
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01/27/2023
Distributed Consensus in Wireless Networks with Probabilistic Broadcast Scheduling
We consider distributed average consensus in a wireless network with par...
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01/27/2023
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence
Many policy optimization approaches in reinforcement learning incorporat...
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12/14/2022
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
Federated Learning (FL) is a collaborative machine learning (ML) framewo...
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12/02/2022
Fair Graphical Resource Allocation with Matching-Induced Utilities
Motivated by real-world applications, we study the fair allocation of gr...
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11/01/2022
Over-the-Air Computation for Distributed Systems: Something Old and Something New
Facing the upcoming era of Internet-of-Things and connected intelligence...
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10/05/2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
In this paper, we consider privacy aspects of wireless federated learnin...
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08/24/2022
Over-the-Air Computation with Multiple Receivers: A Space-Time Approach
Over-the-air (OtA) computation is a newly emerged concept for achieving ...
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07/20/2022
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder
Defining and separating cancer subtypes is essential for facilitating pe...
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07/11/2022
Robust Beamforming Design for IRS-Aided URLLC in D2D Networks
Intelligent reflecting surface (IRS) and device-to-device (D2D) communic...
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06/22/2022
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization
Cancer subtyping is crucial for understanding the nature of tumors and p...
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05/25/2022
Restricted mean survival time regression model with time-dependent covariates
In clinical or epidemiological follow-up studies, methods based on time ...
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05/16/2022
q-Munchausen Reinforcement Learning
The recently successful Munchausen Reinforcement Learning (M-RL) feature...
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05/16/2022
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning
Maximum Tsallis entropy (MTE) framework in reinforcement learning has ga...
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05/07/2022
Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling
In this work, we are dedicated to multi-target active object tracking (A...
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04/21/2022
Multi-Tier Platform for Cognizing Massive Electroencephalogram
An end-to-end platform assembling multiple tiers is built for precisely ...
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04/20/2022
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
Traversability prediction is a fundamental perception capability for aut...
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04/07/2022
Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network
Considering the natural frequency characteristics in sleep medicine, thi...
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04/02/2022
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data
Cancer is one of the deadliest diseases worldwide. Accurate diagnosis an...
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03/24/2022
Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification
We provide the optimal receive combining strategy for federated learning...
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02/15/2022
Treating Interference as Noise in Cell-Free Massive MIMO Networks
How to manage the interference introduced by the enormous wireless devic...
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12/20/2021
A Nonparametric Statistical Method for Two Crossing Survival Curves
In comparative research on time-to-event data for two groups, when two s...
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11/26/2021
RIS-aided D2D Communication Design for URLLC Packet Delivery
In this paper, we consider a smart factory scenario where a set of actua...
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10/29/2021
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction
Detecting navigable space is the first and also a critical step for succ...
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10/29/2021
Efficient Map Prediction via Low-Rank Matrix Completion
In many autonomous mapping tasks, the maps cannot be accurately construc...
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10/29/2021
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps
Autonomous exploration in unknown environments using mobile robots is th...
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10/29/2021
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation
Detecting navigable space is a fundamental capability for mobile robots ...
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07/23/2021
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
Federated Learning (FL) is a newly emerged decentralized machine learnin...
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06/25/2021
Implementation of an alternative method for assessing competing risks: restricted mean time lost
In clinical and epidemiological studies, hazard ratios are often applied...
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06/20/2021
Dynamic prediction and analysis based on restricted mean survival time in survival analysis with nonproportional hazards
In the process of clinical diagnosis and treatment, the restricted mean ...
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06/20/2021
Combined tests based on restricted mean time lost for competing risks data
Competing risks data are common in medical studies, and the sub-distribu...
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02/18/2021
Solving the linear transport equation by a deep neural network approach
In this paper, we study the linear transport model by adopting the deep ...
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12/29/2020
Consensus-Based Distributed Computation of Link-Based Network Metrics
Average consensus algorithms have wide applications in distributed compu...
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10/05/2020
The use of restricted mean time lost under competing risks data
Background: Under competing risks, the commonly used sub-distribution ha...
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09/20/2020