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08/31/2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Accurate traffic forecasting at intersections governed by intelligent tr...
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07/21/2023
Tuning Pre-trained Model via Moment Probing
Recently, efficient fine-tuning of large-scale pre-trained models has at...
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06/21/2023
Spatial Heterophily Aware Graph Neural Networks
Graph Neural Networks (GNNs) have been broadly applied in many urban app...
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06/15/2023
Multi-Temporal Relationship Inference in Urban Areas
Finding multiple temporal relationships among locations can benefit a bu...
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01/05/2023
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
Although remarkable progress on the neural table-to-text methods has bee...
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12/01/2022
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
The essential task of urban planning is to generate the optimal land-use...
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11/26/2022
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Urban villages (UVs) refer to the underdeveloped informal settlement fal...
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11/24/2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Recent years have witnessed a large amount of decentralized data in vari...
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11/12/2022
Robust Training of Graph Neural Networks via Noise Governance
Graph Neural Networks (GNNs) have become widely-used models for semi-sup...
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10/06/2022
Joint Protection Scheme for Deep Neural Network Hardware Accelerators and Models
Deep neural networks (DNNs) are utilized in numerous image processing, o...
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08/08/2022
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022
The variability of wind power supply can present substantial challenges ...
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04/06/2022
Structure-aware Protein Self-supervised Learning
Protein representation learning methods have shown great potential to yi...
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12/15/2021
Data Placement for Multi-Tenant Data Federation on the Cloud
Due to privacy concerns of users and law enforcement in data security an...
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12/11/2021
Efficient Device Scheduling with Multi-Job Federated Learning
Recent years have witnessed a large amount of decentralized data in mult...
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09/24/2021
Adversarial Neural Trip Recommendation
Trip recommender system, which targets at recommending a trip consisting...
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09/24/2021
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Recently many efforts have been devoted to applying graph neural network...
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07/21/2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Drug discovery often relies on the successful prediction of protein-liga...
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06/11/2021
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Effective molecular representation learning is of great importance to fa...
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04/08/2021
Algorithmic Obfuscation for LDPC Decoders
In order to protect intellectual property against untrusted foundry, man...
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01/08/2021
Spatial Object Recommendation with Hints: When Spatial Granularity Matters
Existing spatial object recommendation algorithms generally treat object...
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12/22/2020
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
The novel coronavirus disease (COVID-19) has crushed daily routines and ...
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12/17/2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
Accurately predicting the binding affinity between drugs and proteins is...
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08/26/2020
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
While Water Treatment Networks (WTNs) are critical infrastructures for l...
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07/21/2020
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning
A mobile app interface usually consists of a set of user interface modul...
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07/11/2020
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
Public transportation plays a critical role in people's daily life. It h...
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11/24/2019
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
The ability to predict city-wide parking availability is crucial for the...
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10/26/2019
Generalized SAT-Attack-Resistant Logic Locking
Logic locking is used to protect integrated circuits (ICs) from piracy a...
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06/12/2016
