b'Qing Li'

research

∙ 09/19/2023

FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning

Machine Unlearning is an emerging field that addresses data privacy issu...

0 Thanveer Shaik, et al. ∙

research

∙ 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...

0 Qing Li, et al. ∙

research

∙ 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...

0 Zhihao Ding, et al. ∙

research

∙ 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...

0 Qing Li, et al. ∙

research

∙ 08/09/2023

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following

E-commerce authoring involves creating attractive, abundant, and targete...

0 Kaize Shi, et al. ∙

research

∙ 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...

0 Ziyu Zhu, et al. ∙

research

∙ 08/02/2023

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

The Class Incremental Semantic Segmentation (CISS) extends the tradition...

0 Jingfan Chen, et al. ∙

research

∙ 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 ...

0 Haozhen Zhang, et al. ∙

research

∙ 07/17/2023

Satellite Computing: A Case Study of Cloud-Native Satellites

The on-orbit processing of massive satellite-native data relies on power...

0 Chao Wang, et al. ∙

research

∙ 07/10/2023

Counterfactual Explanation for Fairness in Recommendation

Fairness-aware recommendation eliminates discrimination issues to build ...

0 Xiangmeng Wang, et al. ∙

research

∙ 07/05/2023

Recommender Systems in the Era of Large Language Models (LLMs)

With the prosperity of e-commerce and web applications, Recommender Syst...

0 Wenqi Fan, et al. ∙

research

∙ 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...

0 Xunlian Luo, et al. ∙

research

∙ 06/27/2023

Learning non-Markovian Decision-Making from State-only Sequences

Conventional imitation learning assumes access to the actions of demonst...

0 Aoyang Qin, et al. ∙

research

∙ 06/12/2023

Recurrent Attention Networks for Long-text Modeling

Self-attention-based models have achieved remarkable progress in short-t...

0 Xianming Li, et al. ∙

research

∙ 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...

6 Jiatong Li, et al. ∙

research

∙ 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...

0 Hongxin Li, et al. ∙

research

∙ 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...

0 Chenyi Liu, et al. ∙

research

∙ 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 ...

0 Thanveer Shaik, et al. ∙

research

∙ 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 ...

0 Qing Li, et al. ∙

research

∙ 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...

0 Da Ren, et al. ∙

research

∙ 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 ...

0 Shaodong Wang, et al. ∙

research

∙ 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...

0 Maocheng Li, et al. ∙

research

∙ 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...

0 Haiyang Liu, et al. ∙

research

∙ 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...

0 Xunlian Luo, et al. ∙

research

∙ 02/06/2023

Generative Diffusion Models on Graphs: Methods and Applications

Diffusion models, as a novel generative paradigm, have achieved remarkab...

3 Wenqi Fan, et al. ∙

research

∙ 01/23/2023

AttMEMO : Accelerating Transformers with Memoization on Big Memory Systems

Transformer models gain popularity because of their superior inference a...

0 Yuan Feng, et al. ∙

research

∙ 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...

0 Jiangyong Huang, et al. ∙

research

∙ 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...

0 Li Yuan, et al. ∙

research

∙ 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...

0 Qing Li, et al. ∙

research

∙ 10/14/2022

SQA3D: Situated Question Answering in 3D Scenes

We propose a new task to benchmark scene understanding of embodied agent...

13 Xiaojian Ma, et al. ∙

research

∙ 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 ...

0 Qing Li, et al. ∙

research

∙ 09/21/2022

A Comprehensive Survey on Trustworthy Recommender Systems

As one of the most successful AI-powered applications, recommender syste...

0 Wenqi Fan, et al. ∙

research

∙ 08/18/2022

Disentangled Contrastive Learning for Social Recommendation

Social recommendations utilize social relations to enhance the represent...

0 Jiahao Wu, et al. ∙

research

∙ 08/04/2022

A Representation Modeling Based Language GAN with Completely Random Initialization

Text generative models trained via Maximum Likelihood Estimation (MLE) s...

0 Da Ren, et al. ∙

research

∙ 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...

0 Kang You, et al. ∙

research

∙ 07/21/2022

Knowledge-enhanced Black-box Attacks for Recommendations

Recent studies have shown that deep neural networks-based recommender sy...

0 Jingfan Chen, et al. ∙

research

∙ 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...

0 Xudong Mao, et al. ∙

research

∙ 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...

0 Xueying Zhan, et al. ∙

research

∙ 06/04/2022

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack

Deep neural networks are vulnerable to adversarial examples, even in the...

0 Zeyu Dai, et al. ∙

research

∙ 05/08/2022

Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods

Actor-critic Reinforcement Learning (RL) algorithms have achieved impres...

1 Qing Li, et al. ∙

research

∙ 03/08/2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks

Massive open online courses (MOOCs), which provide a large-scale interac...

0 Jibing Gong, et al. ∙

research

∙ 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...

0 Kaige Wang, et al. ∙

research

∙ 01/28/2022

Indicative Image Retrieval: Turning Blackbox Learning into Grey

Deep learning became the game changer for image retrieval soon after it ...

16 Xulu Zhang, et al. ∙

research

∙ 01/21/2022

Conceptor Learning for Class Activation Mapping

Class Activation Mapping (CAM) has been widely adopted to generate salie...

7 Guangwu Qian, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 12/30/2021

Tiansuan Constellation: An Open Research Platform

Satellite network is the first step of interstellar voyages. It can prov...

0 Shangguang Wang, et al. ∙

research

∙ 12/24/2021

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning

Bi-typed heterogeneous graphs are applied in many real-world scenarios. ...

16 Yu Zhao, et al. ∙

research

∙ 12/10/2021

Self-Ensemling for 3D Point Cloud Domain Adaption

Recently 3D point cloud learning has been a hot topic in computer vision...

0 Qing Li, et al. ∙

research

∙ 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...

0 Liwen Wu, et al. ∙

research

∙ 10/29/2021

Deep Keyphrase Completion

Keyphrase provides accurate information of document content that is high...

0 Yu Zhao, et al. ∙

Qing Li

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