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09/19/2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Machine Unlearning is an emerging field that addresses data privacy issu...
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09/17/2023
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation
We propose Neural Gradient Learning (NGL), a deep learning approach to l...
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09/04/2023
Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks
We study illicit account detection on transaction networks of cryptocurr...
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09/02/2023
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network
The growing need for accurate and reliable tracking systems has driven s...
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08/09/2023
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following
E-commerce authoring involves creating attractive, abundant, and targete...
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08/08/2023
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
3D vision-language grounding (3D-VL) is an emerging field that aims to c...
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08/02/2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
The Class Incremental Semantic Segmentation (CISS) extends the tradition...
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07/31/2023
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Encrypted traffic classification is receiving widespread attention from ...
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07/17/2023
Satellite Computing: A Case Study of Cloud-Native Satellites
The on-orbit processing of massive satellite-native data relies on power...
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07/10/2023
Counterfactual Explanation for Fairness in Recommendation
Fairness-aware recommendation eliminates discrimination issues to build ...
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07/05/2023
Recommender Systems in the Era of Large Language Models (LLMs)
With the prosperity of e-commerce and web applications, Recommender Syst...
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07/02/2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
Traffic prediction has been an active research topic in the domain of sp...
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06/27/2023
Learning non-Markovian Decision-Making from State-only Sequences
Conventional imitation learning assumes access to the actions of demonst...
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06/12/2023
Recurrent Attention Networks for Long-text Modeling
Self-attention-based models have achieved remarkable progress in short-t...
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06/11/2023
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Molecule discovery plays a crucial role in various scientific fields, ad...
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05/30/2023
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Computer end users have spent billions of hours completing daily tasks l...
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05/30/2023
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Robust network design, which aims to guarantee network availability unde...
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05/10/2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Machine unlearning (MU) is gaining increasing attention due to the need ...
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05/10/2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds
We propose a novel method called SHS-Net for oriented normal estimation ...
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05/06/2023
An Adversarial Non-Autoregressive Model for Text Generation with Incomplete Information
Non-autoregressive models have been widely studied in the Complete Infor...
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04/30/2023
MD-Manifold: A Medical-Distance-Based Representation Learning Approach for Medical Concept and Patient Representation
Effectively representing medical concepts and patients is important for ...
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03/06/2023
Accurate and Efficient Trajectory-based Contact Tracing with Secure Computation and Geo-Indistinguishability
Contact tracing has been considered as an effective measure to limit the...
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02/25/2023
Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
Traffic forecasting is one of the most fundamental problems in transport...
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02/24/2023
Dynamic Graph Convolution Network with Spatio-Temporal Attention Fusion for Traffic Flow Prediction
Accurate and real-time traffic state prediction is of great practical im...
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02/06/2023
Generative Diffusion Models on Graphs: Methods and Applications
Diffusion models, as a novel generative paradigm, have achieved remarkab...
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01/23/2023
AttMEMO : Accelerating Transformers with Memoization on Big Memory Systems
Transformer models gain popularity because of their superior inference a...
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11/28/2022
Perceive, Ground, Reason, and Act: A Benchmark for General-purpose Visual Representation
Current computer vision models, unlike the human visual system, cannot y...
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11/28/2022
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging
Multimodal named entity recognition (MNER) and multimodal relation extra...
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10/24/2022
Social norms of fairness with reputation-based role assignment in the dictator game
A vast body of experiments share the view that social norms are major fa...
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10/14/2022
SQA3D: Situated Question Answering in 3D Scenes
We propose a new task to benchmark scene understanding of embodied agent...
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10/13/2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
We propose a novel normal estimation method called HSurf-Net, which can ...
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09/21/2022
A Comprehensive Survey on Trustworthy Recommender Systems
As one of the most successful AI-powered applications, recommender syste...
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08/18/2022
Disentangled Contrastive Learning for Social Recommendation
Social recommendations utilize social relations to enhance the represent...
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08/04/2022
A Representation Modeling Based Language GAN with Completely Random Initialization
Text generative models trained via Maximum Likelihood Estimation (MLE) s...
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08/04/2022
IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression
Point cloud is a crucial representation of 3D contents, which has been w...
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07/21/2022
Knowledge-enhanced Black-box Attacks for Recommendations
Recent studies have shown that deep neural networks-based recommender sy...
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07/19/2022
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability
GAN inversion aims to invert an input image into the latent space of a p...
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07/04/2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Pool-based Active Learning (AL) has achieved great success in minimizing...
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06/04/2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack
Deep neural networks are vulnerable to adversarial examples, even in the...
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05/08/2022
Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods
Actor-critic Reinforcement Learning (RL) algorithms have achieved impres...
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03/08/2022
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Massive open online courses (MOOCs), which provide a large-scale interac...
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02/23/2022
An End-to-End Cascaded Image Deraining and Object Detection Neural Network
While the deep learning-based image deraining methods have made great pr...
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01/28/2022
Indicative Image Retrieval: Turning Blackbox Learning into Grey
Deep learning became the game changer for image retrieval soon after it ...
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01/21/2022
Conceptor Learning for Class Activation Mapping
Class Activation Mapping (CAM) has been widely adopted to generate salie...
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01/11/2022
Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
Stock Movement Prediction (SMP) aims at predicting listed companies' sto...
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12/30/2021
Tiansuan Constellation: An Open Research Platform
Satellite network is the first step of interstellar voyages. It can prov...
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12/24/2021
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning
Bi-typed heterogeneous graphs are applied in many real-world scenarios. ...
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12/10/2021
Self-Ensemling for 3D Point Cloud Domain Adaption
Recently 3D point cloud learning has been a hot topic in computer vision...
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11/03/2021
Incorporating Surrogate Information for Adaptive Subgroup Enrichment Design with Sample Size Re-estimation
Adaptive subgroup enrichment design is an efficient design framework tha...
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10/29/2021
