b'Bo Jiang'

research

∙ 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...

0 Xilai Fan, et al. ∙

research

∙ 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...

0 Yuxiang Guo, et al. ∙

research

∙ 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...

0 Yue Xiang, et al. ∙

research

∙ 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...

0 Bencheng Liao, et al. ∙

research

∙ 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...

0 Xiao Wang, et al. ∙

research

∙ 07/26/2023

Online Context-aware Data Release with Sequence Information Privacy

Publishing streaming data in a privacy-preserving manner has been a key ...

0 Bo Jiang, et al. ∙

research

∙ 07/18/2023

CBSeq: A Channel-level Behavior Sequence For Encrypted Malware Traffic Detection

Machine learning and neural networks have become increasingly popular so...

0 Susu Cui, et al. ∙

research

∙ 07/03/2023

Thompson Sampling under Bernoulli Rewards with Local Differential Privacy

This paper investigates the problem of regret minimization for multi-arm...

0 Bo Jiang, et al. ∙

research

∙ 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...

4 Bo Jiang, et al. ∙

research

∙ 05/30/2023

AMatFormer: Efficient Feature Matching via Anchor Matching Transformer

Learning based feature matching methods have been commonly studied in re...

3 Bo Jiang, et al. ∙

research

∙ 05/18/2023

Prediction with Incomplete Data under Agnostic Mask Distribution Shift

Data with missing values is ubiquitous in many applications. Recent year...

0 Yichen Zhu, et al. ∙

research

∙ 05/12/2023

AGFormer: Efficient Graph Representation with Anchor-Graph Transformer

To alleviate the local receptive issue of GCN, Transformers have been ex...

0 Bo Jiang, et al. ∙

research

∙ 04/17/2023

Implicit Bayes Adaptation: A Collaborative Transport Approach

The power and flexibility of Optimal Transport (OT) have pervaded a wide...

0 Bo Jiang, et al. ∙

research

∙ 03/21/2023

VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Autonomous driving requires a comprehensive understanding of the surroun...

0 Bo Jiang, et al. ∙

research

∙ 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...

0 Bencheng Liao, et al. ∙

research

∙ 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...

0 Yuhe Ding, et al. ∙

research

∙ 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...

0 Bo Jiang, et al. ∙

research

∙ 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...

0 Chuanming Tang, et al. ∙

research

∙ 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...

0 Xixi Wang, et al. ∙

research

∙ 11/17/2022

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

The main streams of human activity recognition (HAR) algorithms are deve...

0 Xiao Wang, et al. ∙

research

∙ 11/02/2022

An efficient algorithm for the ℓ_p norm based metric nearness problem

Given a dissimilarity matrix, the metric nearness problem is to find the...

0 Peipei Tang, et al. ∙

research

∙ 10/26/2022

Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems

Quantized constant envelope (QCE) precoding, a new transmission scheme t...

0 zheyu-wu, et al. ∙

research

∙ 10/07/2022

Flexible Alignment Super-Resolution Network for Multi-Contrast MRI

Magnetic resonance images play an essential role in clinical diagnosis b...

0 Yiming Liu, et al. ∙

research

∙ 09/05/2022

Spiking GATs: Learning Graph Attentions via Spiking Neural Network

Graph Attention Networks (GATs) have been intensively studied and widely...

0 Beibei Wang, et al. ∙

research

∙ 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...

0 Xixi Wang, et al. ∙

research

∙ 07/30/2022

DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses

We introduce a Dimension-Reduced Second-Order Method (DRSOM) for convex ...

8 Chuwen Zhang, et al. ∙

research

∙ 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...

3 Yihan Hu, et al. ∙

research

∙ 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 ...

0 Bo Jiang, et al. ∙

research

∙ 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...

0 Yunzhuo Liu, et al. ∙

research

∙ 04/26/2022

Unified GCNs: Towards Connecting GCNs with CNNs

Graph Convolutional Networks (GCNs) have been widely demonstrated their ...

0 Ziyan Zhang, et al. ∙

research

∙ 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...

5 Jingqun Tang, et al. ∙

research

∙ 02/25/2022

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric

We introduce in this paper a new statistical perspective, exploiting the...

13 Bo Jiang, et al. ∙

research

∙ 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...

0 Beibei Wang, et al. ∙

research

∙ 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...

0 Bo Jiang, et al. ∙

research

∙ 01/25/2022

Varying Coefficient Model via Adaptive Spline Fitting

The varying coefficient model has received wide attention from researche...

0 Xufei Wang, et al. ∙

research

∙ 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...

0 Xixi Wang, et al. ∙

research

∙ 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...

0 Xinran Li, et al. ∙

research

∙ 10/22/2021

CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative ℓ_1 Penalty Approach

In this paper, we consider the one-bit precoding problem for the multius...

0 zheyu-wu, et al. ∙

research

∙ 10/10/2021

A Novel Negative ℓ_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...

0 zheyu-wu, et al. ∙

research

∙ 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...

0 Yichen Zhu, et al. ∙

research

∙ 07/23/2021

Human Pose Transfer with Disentangled Feature Consistency

Deep generative models have made great progress in synthesizing images w...

3 Kun Wu, et al. ∙

research

∙ 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...

0 Peipei Tang, et al. ∙

research

∙ 02/09/2021

Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection

The multiple-input multiple-output (MIMO) detection problem, a fundament...

0 Ruichen Jiang, et al. ∙

research

∙ 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...

6 Yue Shi, et al. ∙

research

∙ 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...

2 Xuanzhao Wang, et al. ∙

research

∙ 10/03/2020

Neighborhood Matters: Influence Maximization in Social Networks with Limited Access

Influence maximization (IM) aims at maximizing the spread of influence b...

0 Chen Feng, et al. ∙

research

∙ 09/05/2020

Visual Object Tracking by Segmentation with Graph Convolutional Network

Segmentation-based tracking has been actively studied in computer vision...

0 Bo Jiang, et al. ∙

research

∙ 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...

0 Dong Wang, et al. ∙

research

∙ 07/29/2020

EOSFuzzer: Fuzzing EOSIO Smart Contracts for Vulnerability Detection

EOSIO is one typical public blockchain platform. It is scalable in terms...

0 Yuhe Huang, et al. ∙

research

∙ 07/07/2020

SaADB: A Self-attention Guided ADB Network for Person Re-identification

Recently, Batch DropBlock network (BDB) has demonstrated its effectivene...

0 Bo Jiang, et al. ∙

Bo Jiang

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