b'Qing Li'

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. ∙

research

∙ 10/18/2021

Towards General Deep Leakage in Federated Learning

Unlike traditional central training, federated learning (FL) improves th...

0 Jiahui Geng, et al. ∙

research

∙ 10/15/2021

Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization

Evolutionary transfer multiobjective optimization (ETMO) has been becomi...

0 Songbai Liu, et al. ∙

research

∙ 09/08/2021

YouRefIt: Embodied Reference Understanding with Language and Gesture

We study the understanding of embodied reference: One agent uses both la...

0 Yixin Chen, et al. ∙

research

∙ 08/12/2021

Graph Trend Networks for Recommendations

Recommender systems aim to provide personalized services to users and ar...

13 Wenqi Fan, et al. ∙

research

∙ 08/09/2021

DGEM: A New Dual-modal Graph Embedding Method in Recommendation System

In the current deep learning based recommendation system, the embedding ...

0 Huimin Zhou, et al. ∙

research

∙ 08/07/2021

Jointly Attacking Graph Neural Network and its Explanations

Graph Neural Networks (GNNs) have boosted the performance for many graph...

23 Wenqi Fan, et al. ∙

research

∙ 07/04/2021

Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes

Active learning aims to achieve greater accuracy with less training data...

0 Xueying Zhan, et al. ∙

research

∙ 06/28/2021

Intent Disentanglement and Feature Self-supervision for Novel Recommendation

One key property in recommender systems is the long-tail distribution in...

0 Tieyun Qian, et al. ∙

research

∙ 03/24/2021

VLGrammar: Grounded Grammar Induction of Vision and Language

Cognitive grammar suggests that the acquisition of language grammar is g...

0 Yining Hong, et al. ∙

research

∙ 03/08/2021

Unsupervised Person Re-Identification with Multi-Label Learning Guided Self-Paced Clustering

Although unsupervised person re-identification (Re-ID) has drawn increas...

0 Qing Li, et al. ∙

research

∙ 12/31/2020

CauchyCP: a powerful test under non-proportional hazards using Cauchy combination of change-point Cox regressions

Non-proportional hazards data are routinely encountered in randomized cl...

0 Hong Zhang, et al. ∙

research

∙ 12/29/2020

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge

WebFG 2020 is an international challenge hosted by Nanjing University of...

10 Xiu-Shen Wei, et al. ∙

research

∙ 12/27/2020

SMART: A Situation Model for Algebra Story Problems via Attributed Grammar

Solving algebra story problems remains a challenging task in artificial ...

0 Yining Hong, et al. ∙

research

∙ 12/19/2020

Learning by Fixing: Solving Math Word Problems with Weak Supervision

Previous neural solvers of math word problems (MWPs) are learned with fu...

0 Yining Hong, et al. ∙

research

∙ 12/05/2020

Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition

Graph convolutional networks (GCNs) can effectively capture the features...

0 Tingwei Li, et al. ∙

Qing Li

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