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09/11/2023
Joint Beamforming and Compression Design for Per-Antenna Power Constrained Cooperative Cellular Networks
In the cooperative cellular network, relay-like base stations are connec...
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09/05/2023
A study on the impact of pre-trained model on Just-In-Time defect prediction
Previous researchers conducting Just-In-Time (JIT) defect prediction tas...
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08/15/2023
Cerberus: A Deep Learning Hybrid Model for Lithium-Ion Battery Aging Estimation and Prediction Based on Relaxation Voltage Curves
The degradation process of lithium-ion batteries is intricately linked t...
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08/10/2023
MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
High-definition (HD) map provides abundant and precise static environmen...
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08/08/2023
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
Event camera-based pattern recognition is a newly arising research topic...
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07/26/2023
Online Context-aware Data Release with Sequence Information Privacy
Publishing streaming data in a privacy-preserving manner has been a key ...
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07/18/2023
CBSeq: A Channel-level Behavior Sequence For Encrypted Malware Traffic Detection
Machine learning and neural networks have become increasingly popular so...
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07/03/2023
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy
This paper investigates the problem of regret minimization for multi-arm...
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06/08/2023
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition
Sampled point and voxel methods are usually employed to downsample the d...
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05/30/2023
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
Learning based feature matching methods have been commonly studied in re...
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05/18/2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Data with missing values is ubiquitous in many applications. Recent year...
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05/12/2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
To alleviate the local receptive issue of GCN, Transformers have been ex...
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04/17/2023
Implicit Bayes Adaptation: A Collaborative Transport Approach
The power and flexibility of Optimal Transport (OT) have pervaded a wide...
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03/21/2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Autonomous driving requires a comprehensive understanding of the surroun...
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03/15/2023
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
Online lane graph construction is a promising but challenging task in au...
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02/09/2023
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Existing cross-domain keypoint detection methods always require accessin...
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12/05/2022
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Motion prediction is highly relevant to the perception of dynamic object...
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11/20/2022
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
Combining the Color and Event cameras (also called Dynamic Vision Sensor...
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11/19/2022
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
Exploring sample relationships within each mini-batch has shown great po...
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11/17/2022
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
The main streams of human activity recognition (HAR) algorithms are deve...
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11/02/2022
An efficient algorithm for the â„“_p norm based metric nearness problem
Given a dissimilarity matrix, the metric nearness problem is to find the...
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10/26/2022
Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems
Quantized constant envelope (QCE) precoding, a new transmission scheme t...
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10/07/2022
Flexible Alignment Super-Resolution Network for Multi-Contrast MRI
Magnetic resonance images play an essential role in clinical diagnosis b...
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09/05/2022
Spiking GATs: Learning Graph Attentions via Spiking Neural Network
Graph Attention Networks (GATs) have been intensively studied and widely...
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08/26/2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Few-shot classification which aims to recognize unseen classes using ver...
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07/30/2022
DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses
We introduce a Dimension-Reduced Second-Order Method (DRSOM) for convex ...
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06/21/2022
HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction
In this report, we introduce our solution to the Occupancy and Flow Pred...
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05/30/2022
Exploring students' backtracking behaviors in digital textbooks and its relationship to learning styles
The purpose of this study is to explore students' backtracking patterns ...
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04/28/2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models
Training deep learning (DL) models has become a norm. With the emergence...
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04/26/2022
Unified GCNs: Towards Connecting GCNs with CNNs
Graph Convolutional Networks (GCNs) have been widely demonstrated their ...
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03/29/2022
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection
Recently, transformer-based methods have achieved promising progresses i...
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02/25/2022
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
We introduce in this paper a new statistical perspective, exploiting the...
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02/18/2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators
Graph neural networks (GNNs) have achieved great success in many graph l...
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02/03/2022
Answering Count Queries for Genomic Data with Perfect Privacy
In this paper, we consider the problem of answering count queries for ge...
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01/25/2022
Varying Coefficient Model via Adaptive Spline Fitting
The varying coefficient model has received wide attention from researche...
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12/02/2021
MTFNet: Mutual-Transformer Fusion Network for RGB-D Salient Object Detection
Salient object detection (SOD) on RGB-D images is an active problem in c...
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10/28/2021
Kernel-based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
We propose a kernel-based partial permutation test for checking the equa...
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10/22/2021
CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative â„“_1 Penalty Approach
In this paper, we consider the one-bit precoding problem for the multius...
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10/10/2021
A Novel Negative â„“_1 Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling
This paper considers the one-bit precoding problem for the multiuser dow...
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10/05/2021
Networked Time Series Prediction with Incomplete Data
A networked time series (NETS) is a family of time series on a given gra...
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07/23/2021
Human Pose Transfer with Disentangled Feature Consistency
Deep generative models have made great progress in synthesizing images w...
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06/25/2021
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems
In this paper, we introduce a proximal-proximal majorization-minimizatio...
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02/09/2021
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection
The multiple-input multiple-output (MIMO) detection problem, a fundament...
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11/05/2020
Fast Object Detection with Latticed Multi-Scale Feature Fusion
Scale variance is one of the crucial challenges in multi-scale object de...
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11/05/2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Video anomaly detection is commonly used in many applications such as se...
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10/03/2020
Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
Influence maximization (IM) aims at maximizing the spread of influence b...
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09/05/2020
Visual Object Tracking by Segmentation with Graph Convolutional Network
Segmentation-based tracking has been actively studied in computer vision...
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07/30/2020
WANA: Symbolic Execution of Wasm Bytecode for Cross-Platform Smart Contract Vulnerability Detection
Many popular blockchain platforms are supporting smart contracts for bui...
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07/29/2020
EOSFuzzer: Fuzzing EOSIO Smart Contracts for Vulnerability Detection
EOSIO is one typical public blockchain platform. It is scalable in terms...
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07/07/2020
