b'JiaQi Ma'

research

∙ 08/31/2023

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception

Vehicle-to-everything (V2X) autonomous driving opens up a promising dire...

0 Si Liu, et al. ∙

research

∙ 08/08/2023

Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage

Machine learning models are increasingly utilized across impactful domai...

0 Catherine Huang, et al. ∙

research

∙ 07/27/2023

Fair Machine Unlearning: Data Removal while Mitigating Disparities

As public consciousness regarding the collection and use of personal inf...

0 Alex Oesterling, et al. ∙

research

∙ 07/25/2023

Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

Chain-of-thought (CoT) prompting has been shown to empirically improve t...

0 Skyler Wu, et al. ∙

research

∙ 07/18/2023

Domain Adaptation based Enhanced Detection for Autonomous Driving in Foggy and Rainy Weather

Typically, object detection methods for autonomous driving that rely on ...

0 Jinlong Li, et al. ∙

research

∙ 07/16/2023

S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality

Due to the lack of real multi-agent data and time-consuming of labeling,...

0 Jinlong Li, et al. ∙

research

∙ 06/23/2023

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Image restoration aims to reconstruct degraded images, e.g., denoising o...

0 JiaQi Ma, et al. ∙

research

∙ 04/20/2023

HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformer

Vehicle-to-Vehicle technologies have enabled autonomous vehicles to shar...

0 Hao Xiang, et al. ∙

research

∙ 04/04/2023

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems

Bird's eye view (BEV) perception is becoming increasingly important in t...

0 Rui Song, et al. ∙

research

∙ 03/14/2023

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Modern perception systems of autonomous vehicles are known to be sensiti...

0 Runsheng Xu, et al. ∙

research

∙ 02/08/2023

Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten

The Right to Explanation and the Right to be Forgotten are two important...

0 Satyapriya Krishna, et al. ∙

research

∙ 01/18/2023

The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research

Advances in Single-vehicle intelligence of automated driving have encoun...

0 Runsheng Xu, et al. ∙

research

∙ 12/16/2022

Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication

Deep learning has been widely used in the perception (e.g., 3D object de...

0 Jinlong Li, et al. ∙

research

∙ 12/08/2022

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks

Establishing open and general benchmarks has been a critical driving for...

0 JiaQi Ma, et al. ∙

research

∙ 11/29/2022

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR

Recently, Vehicle-to-Everything(V2X) cooperative perception has attracte...

0 Xinyu Cai, et al. ∙

research

∙ 11/24/2022

Automated Driving Systems Data Acquisition and Processing Platform

This paper presents an automated driving system (ADS) data acquisition a...

0 Xin Xia, et al. ∙

research

∙ 11/13/2022

BTO-RRT: A rapid, optimal, smooth and point cloud-based path planning algorithm

This paper explores a rapid, optimal smooth path-planning algorithm for ...

0 Zhaoliang Zheng, et al. ∙

research

∙ 10/27/2022

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

Most object detection methods for autonomous driving usually assume a co...

0 Jinlong Li, et al. ∙

research

∙ 10/16/2022

Bridging the Domain Gap for Multi-Agent Perception

Existing multi-agent perception algorithms usually select to share deep ...

0 Runsheng Xu, et al. ∙

research

∙ 09/27/2022

V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception

Recent advancements in Vehicle-to-Everything communication technology ha...

0 Hao Xiang, et al. ∙

research

∙ 08/31/2022

ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer

In order to get raw images of high quality for downstream Image Signal P...

10 JiaQi Ma, et al. ∙

research

∙ 07/05/2022

CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Bird's eye view (BEV) semantic segmentation plays a crucial role in spat...

0 Runsheng Xu, et al. ∙

research

∙ 05/04/2022

Pik-Fix: Restoring and Colorizing Old Photos

Restoring and inpainting the visual memories that are present, but often...

93 Runsheng Xu, et al. ∙

research

∙ 03/24/2022

Model-Agnostic Multi-Agent Perception Framework

Existing multi-agent perception systems assume that every agent utilizes...

0 Weizhe Chen, et al. ∙

research

∙ 02/05/2022

ROMNet: Renovate the Old Memories

Renovating the memories in old photos is an intriguing research topic in...

0 Runsheng Xu, et al. ∙

research

∙ 01/23/2022

Partition-Based Active Learning for Graph Neural Networks

We study the problem of semi-supervised learning with Graph Neural Netwo...

0 JiaQi Ma, et al. ∙

research

∙ 01/12/2022

Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

In high-level Autonomous Driving (AD) systems, behavioral planning is in...

0 Ziwen Wan, et al. ∙

research

∙ 12/31/2021

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling

Multinomial Logit (MNL) is one of the most popular discrete choice model...

0 JiaQi Ma, et al. ∙

research

∙ 12/22/2021

How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery

Forming a molecular candidate set that contains a wide range of potentia...

0 Yutong Xie, et al. ∙

research

∙ 09/16/2021

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

Employing Vehicle-to-Vehicle communication to enhance perception perform...

0 Runsheng Xu, et al. ∙

research

∙ 07/13/2021

OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation

Although Cooperative Driving Automation (CDA) has attracted considerable...

0 Runsheng Xu, et al. ∙

research

∙ 06/29/2021

Subgroup Generalization and Fairness of Graph Neural Networks

Despite enormous successful applications of graph neural networks (GNNs)...

0 JiaQi Ma, et al. ∙

research

∙ 06/21/2021

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

Graph neural networks (GNNs) have attracted increasing interests. With b...

0 JiaQi Ma, et al. ∙

research

∙ 10/05/2020

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks

Graph-structured data are ubiquitous. However, graphs encode diverse typ...

4 JiaQi Ma, et al. ∙

research

∙ 08/19/2020

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

In this paper, we propose a flexible model for survival analysis using n...

5 Weijing Tang, et al. ∙

research

∙ 06/09/2020

Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access

We study the black-box attacks on graph neural networks (GNNs) under a n...

0 JiaQi Ma, et al. ∙

research

∙ 11/11/2019

Graph Representation Learning via Multi-task Knowledge Distillation

Machine learning on graph structured data has attracted much research in...

0 JiaQi Ma, et al. ∙

research

∙ 05/26/2019

A Flexible Generative Framework for Graph-based Semi-supervised Learning

We consider a family of problems that are concerned about making predict...

0 JiaQi Ma, et al. ∙

research

∙ 04/07/2019

Measuring Human Perception to Improve Handwritten Document Transcription

The subtleties of human perception, as measured by vision scientists thr...

48 Samuel Grieggs, et al. ∙

research

∙ 12/06/2017

Short-Term Prediction of Signal Cycle in Actuated-Controlled Corridor Using Sparse Time Series Models

Traffic signals as part of intelligent transportation systems can play a...

0 Bahman Moghimi, et al. ∙

JiaQi Ma

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