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09/20/2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
With the acceleration of urbanization, traffic forecasting has become an...
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09/18/2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
In the era of information explosion, spatio-temporal data mining serves ...
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08/07/2023
XFlow: Benchmarking Flow Behaviors over Graphs
The occurrence of diffusion on a graph is a prevalent and significant ph...
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07/21/2023
ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks
In-Network Computing (INC) has found many applications for performance b...
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06/04/2023
Detector Guidance for Multi-Object Text-to-Image Generation
Diffusion models have demonstrated impressive performance in text-to-ima...
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05/19/2023
Reconfigurable Intelligent Surfaces for 6G: Nine Fundamental Issues and One Critical Problem
Thanks to the recent advances in metamaterials, reconfigurable intellige...
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04/16/2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
Spatio-Temporal prediction plays a critical role in smart city construct...
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04/12/2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Since the concern of privacy leakage extremely discourages user particip...
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03/11/2023
AutoMLP: Automated MLP for Sequential Recommendations
Sequential recommender systems aim to predict users' next interested ite...
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02/11/2023
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Non-intrusive load monitoring (NILM) aims to decompose aggregated electr...
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02/05/2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
Diffusion models have recently exhibited remarkable abilities to synthes...
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12/31/2022
Active RISs: Signal Modeling, Asymptotic Analysis, and Beamforming Design
Reconfigurable intelligent surfaces (RISs) have emerged as a candidate t...
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12/26/2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Diffusion Probabilistic Models (DPMs) have shown a powerful capacity of ...
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11/04/2022
Explainable Information Retrieval: A Survey
Explainable information retrieval is an emerging research area aiming to...
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10/05/2022
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Visual-Semantic Embedding (VSE) aims to learn an embedding space where r...
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07/17/2022
Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
The wide use of black-box models in natural language processing brings g...
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05/03/2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
We introduce SparcAssist, a general-purpose risk assessment tool for the...
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04/24/2022
On Finite-Time Mutual Information
Shannon-Hartley theorem can accurately calculate the channel capacity wh...
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03/27/2022
Pattern-Division Multiplexing for Continuous-Aperture MIMO
In recent years, continuous-aperture multiple-input multiple-output (CAP...
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12/29/2021
Distance-Aware Precoding for Near-Field Capacity Improvement in XL-MIMO
Extremely large-scale MIMO (XL-MIMO) communication is a promising techno...
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11/16/2021
Continuous-Aperture MIMO for Electromagnetic Information Theory
In recent years, the concept of continuous-aperture MIMO (CAP-MIMO) is r...
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10/31/2021
Capacity for Electromagnetic Information Theory
Traditional channel capacity based on one-dimensional time domain mismat...
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10/31/2021
Finite-Time Capacity: Making Exceed-Shannon Possible?
Shannon-Hartley theorem can accurately calculate the channel capacity wh...
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08/11/2021
Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference
Multimodal abstractive summarization with sentence output is to generate...
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08/11/2021
PGCD: a position-guied contributive distribution unit for aspect based sentiment analysis
Aspect based sentiment analysis (ABSA), exploring sentim- ent polarity o...
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07/19/2021
Compact User-Side Reconfigurable Intelligent Surfaces for Uplink Transmission
Large-scale antenna arrays employed by the base station (BS) constitute ...
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06/23/2021
Learnt Sparsification for Interpretable Graph Neural Networks
Graph neural networks (GNNs) have achieved great success on various task...
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03/28/2021
Active RIS vs. Passive RIS: Which Will Prevail in 6G?
From 1G to 5G, wireless channels have been traditionally considered to b...
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03/05/2021
Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
The technology of dynamic map fusion among networked vehicles has been d...
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01/18/2021
Dissonance Between Human and Machine Understanding
Complex machine learning models are deployed in several critical domains...
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01/11/2021
Explain and Predict, and then Predict again
A desirable property of learning systems is to be both effective and int...
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07/11/2020
Capacity Improvement in Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network
Thanks to the strong ability against the inter-cell interference, cell-f...
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02/10/2020
A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network
Thanks to the strong ability against the inter-cell interference, cell-f...
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01/31/2020
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
Previous approaches for video summarization mainly concentrate on findin...
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11/04/2019
XDeep: An Interpretation Tool for Deep Neural Networks
XDeep is an open-source Python package developed to interpret deep model...
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10/03/2019
Score-CAM:Improved Visual Explanations Via Score-Weighted Class Activation Mapping
Recently, more and more attention has been drawn into the internal mecha...
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10/02/2019
Contextual Local Explanation for Black Box Classifiers
We introduce a new model-agnostic explanation technique which explains t...
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09/05/2019
Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems
Intelligent reflecting surface (IRS) is envisioned to be a promising sol...
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12/07/2018
Asynchronous Training of Word Embeddings for Large Text Corpora
Word embeddings are a powerful approach for analyzing language and have ...
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12/06/2018
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Though deep learning has shown successful performance in classifying the...
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10/25/2018
A Low-latency Secure Data Outsourcing Scheme for Cloud-WSN
With the support of cloud computing, large quantities of data collected ...
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10/25/2018
An Efficient Encryption Scheme with Verifiable Outsourced Decryption in Mobile Cloud Computing
With the increasing number of mobile applications and the popularity of ...
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10/25/2018