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08/15/2023
SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory
Accurately predicting the destination of taxi trajectories can have vari...
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08/14/2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting
The criticality of prompt and precise traffic forecasting in optimizing ...
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07/03/2023
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Backdoor attacks pose serious security threats to deep neural networks (...
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06/29/2023
Metric-aligned Sample Selection and Critical Feature Sampling for Oriented Object Detection
Arbitrary-oriented object detection is a relatively emerging but challen...
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06/27/2023
Multivariate Rank-Based Analysis of Multiple Endpoints in Clinical Trials: A Global Test Approach
Clinical trials often involve the assessment of multiple endpoints to co...
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06/11/2023
On the Confidence Intervals in Bioequivalence Studies
A bioequivalence study is a type of clinical trial designed to compare t...
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05/10/2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks
Traffic data serves as a fundamental component in both research and appl...
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04/14/2023
Hierarchically Structured Matrix Recovery-Based Channel Estimation for RIS-Aided Communications
Reconfigurable intelligent surface (RIS) has emerged as a promising tech...
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03/15/2023
Optimization Design for Federated Learning in Heterogeneous 6G Networks
With the rapid advancement of 5G networks, billions of smart Internet of...
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03/09/2023
Mastering Strategy Card Game (Hearthstone) with Improved Techniques
Strategy card game is a well-known genre that is demanding on the intell...
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03/07/2023
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play
Deep Reinforcement Learning combined with Fictitious Play shows impressi...
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03/02/2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication
Training Graph Neural Networks (GNNs) on large graphs is challenging due...
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02/23/2023
A novel efficient Multi-view traffic-related object detection framework
With the rapid development of intelligent transportation system applicat...
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02/16/2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Neural Architecture Search (NAS) has shown great potentials in automatic...
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01/12/2023
Event-Based Frame Interpolation with Ad-hoc Deblurring
The performance of video frame interpolation is inherently correlated wi...
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11/29/2022
CSI-PPPNet: A One-Sided Deep Learning Framework for Massive MIMO CSI Feedback
To reduce multiuser interference and maximize the spectrum efficiency in...
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09/12/2022
Landmark Enhanced Multimodal Graph Learning for Deepfake Video Detection
With the rapid development of face forgery technology, deepfake videos h...
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05/24/2022
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision
Deep learning (DL) shows its prosperity in a wide variety of fields. The...
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04/26/2022
Balancing Age-Energy Tradeoff in Sleep-Wake Server Systems
The surging demand for fresh information from various Internet of Things...
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03/31/2022
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving
Realistic and diverse simulation scenarios with reactive and feasible ag...
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01/10/2022
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs
Multi-tenant machine learning services have become emerging data-intensi...
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12/31/2021
Efficient Channel Estimation for RIS-Aided MIMO Communications with Unitary Approximate Message Passing
Reconfigurable intelligent surface (RIS) is very promising for wireless ...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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11/30/2021
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
Traditional frame-based cameras inevitably suffer from motion blur due t...
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09/03/2021
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Modern GPU datacenters are critical for delivering Deep Learning (DL) mo...
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07/15/2021
Deep Learning Based OFDM Channel Estimation Using Frequency-Time Division and Attention Mechanism
In this paper, we propose a frequency-time division network (FreqTimeNet...
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07/05/2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained models have achieved state-of-the-art results in various Nat...
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06/18/2021
Towards Distraction-Robust Active Visual Tracking
In active visual tracking, it is notoriously difficult when distracting ...
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06/06/2021
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
MLOps is about taking experimental ML models to production, i.e., servin...
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05/29/2021
Towards Efficient Compressive Data Collection in the Internet of Things
It is of paramount importance to achieve efficient data collection in th...
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04/16/2021
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Federated learning (FL) is a promising privacy-preserving distributed ma...
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03/22/2021
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
RGB-D salient object detection (SOD) is usually formulated as a problem ...
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11/30/2020
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
Recent research on joint source channel coding (JSCC) for wireless commu...
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11/27/2020
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game
StarCraft, one of the most difficult esport games with long-standing his...
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11/25/2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Competitive Self-Play (CSP) based Multi-Agent Reinforcement Learning (MA...
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11/14/2020
An Autonomous Approach to Measure Social Distances and Hygienic Practices during COVID-19 Pandemic in Public Open Spaces
Coronavirus has been spreading around the world since the end of 2019. T...
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10/28/2020
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data
The micromobility is shaping first- and last-mile travels in urban areas...
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04/09/2020
Identification of splicing edges in tampered image based on Dichromatic Reflection Model
Imaging is a sophisticated process combining a plenty of photovoltaic co...
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03/31/2020
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements on computational resources in the ...
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02/04/2020
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront
Physical activities and social interactions are essential activities tha...
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09/15/2019
Graph-guided Architecture Search for Real-time Semantic Segmentation
Designing a lightweight semantic segmentation network often requires res...
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09/09/2019
Composing Knowledge Graph Embeddings via Word Embeddings
Learning knowledge graph embedding from an existing knowledge graph is v...
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07/20/2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
We introduce Arena, a toolkit for multi-agent reinforcement learning (MA...
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05/24/2019
OVSNet : Towards One-Pass Real-Time Video Object Segmentation
Video object segmentation aims at accurately segmenting the target objec...
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02/19/2019
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
It is important to scale out deep neural network (DNN) training for redu...
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10/18/2018
Salience Biased Loss for Object Detection in Aerial Images
Object detection in remote sensing, especially in aerial images, remains...
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10/10/2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Most existing deep reinforcement learning (DRL) frameworks consider eith...
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10/09/2018
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine
Recent studies showed that single-machine graph processing systems can b...
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09/19/2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Starcraft II (SCII) is widely considered as the most challenging Real Ti...
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08/10/2018
