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09/14/2023
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
Connected autonomous vehicles (CAVs) promise to enhance safety, efficien...
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05/25/2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Data subsampling is widely used to speed up the training of large-scale ...
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03/21/2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Large AI models, or foundation models, are models recently emerging with...
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01/18/2023
Label Inference Attack against Split Learning under Regression Setting
As a crucial building block in vertical Federated Learning (vFL), Split ...
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11/18/2022
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
Graph Neural Network (GNN) based recommender systems have been attractin...
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09/24/2022
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields
Neural Radiance Fields (NeRFs) have been successfully used for scene rep...
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08/25/2022
DPAUC: Differentially Private AUC Computation in Federated Learning
Federated learning (FL) has gained significant attention recently as a p...
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06/16/2022
Differentially Private Multi-Party Data Release for Linear Regression
Differentially Private (DP) data release is a promising technique to dis...
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05/24/2022
Differentially Private AUC Computation in Vertical Federated Learning
Federated learning has gained great attention recently as a privacy-enha...
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04/13/2022
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities
Connected and Autonomous Vehicles (CAVs) are becoming more widely deploy...
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03/21/2022
LocATe: End-to-end Localization of Actions in 3D with Transformers
Understanding a person's behavior from their 3D motion is a fundamental ...
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03/04/2022
Differentially Private Label Protection in Split Learning
Split learning is a distributed training framework that allows multiple ...
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03/02/2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Vertical federated learning (vFL) has gained much attention and been dep...
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11/01/2021
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion
In this paper, we address the problem of forecasting the trajectory of a...
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09/10/2021
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks
In this work, we study the problem of how to leverage instructional vide...
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07/21/2021
Defending against Reconstruction Attack in Vertical Federated Learning
Recently researchers have studied input leakage problems in Federated Le...
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06/10/2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning (vFL) allows multiple parties that own diffe...
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02/17/2021
Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
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07/12/2020
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations
One of the core problems in large-scale recommendations is to retrieve t...
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04/28/2020
Transferable Active Grasping and Real Embodied Dataset
Grasping in cluttered scenes is challenging for robot vision systems, as...
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02/13/2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
3D vehicle detection based on point cloud is a challenging task in real-...
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11/30/2019
Learning Driving Decisions by Imitating Drivers' Control Behaviors
Classical autonomous driving systems are modularized as a pipeline of pe...
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11/22/2019
An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Routing newly posted questions (a.k.a cold questions) to potential answe...
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08/05/2019
GDRQ: Group-based Distribution Reshaping for Quantization
Low-bit quantization is challenging to maintain high performance with li...
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06/09/2019
Cross-view Semantic Segmentation for Sensing Surroundings
Sensing surroundings is ubiquitous and effortless to humans: It takes a ...
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11/02/2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Directed graphs have been widely used in Community Question Answering se...
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08/25/2018
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset
Indoor navigation aims at performing navigation within buildings. In sce...
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07/02/2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Routing questions in Community Question Answer services (CQAs) such as S...
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03/31/2018