b'Yong Li'

research

∙ 05/24/2023

How Graph Convolutions Amplify Popularity Bias for Recommendation?

Graph convolutional networks (GCNs) have become prevalent in recommender...

0 Jiajia Chen, et al. ∙

research

∙ 05/22/2023

Road Planning for Slums via Deep Reinforcement Learning

Millions of slum dwellers suffer from poor accessibility to urban servic...

0 Yu Zheng, et al. ∙

research

∙ 05/15/2023

On Strategies in Synthesis Over Finite Traces

The innovations in reactive synthesis from Linear Temporal Logics over f...

0 Suguman Bansal, et al. ∙

research

∙ 04/06/2023

A Fast and Lightweight Network for Low-Light Image Enhancement

Low-light images often suffer from severe noise, low brightness, low con...

0 Yu Zhang, et al. ∙

research

∙ 03/24/2023

Decoupled Multimodal Distilling for Emotion Recognition

Human multimodal emotion recognition (MER) aims to perceive human emotio...

0 Yong Li, et al. ∙

research

∙ 03/22/2023

Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning

Graph Neural Networks (GNNs) have been recently introduced to learn from...

0 Haiquan Qiu, et al. ∙

research

∙ 03/15/2023

Robust Preference-Guided Denoising for Graph based Social Recommendation

Graph Neural Network(GNN) based social recommendation models improve the...

0 Yuhan Quan, et al. ∙

research

∙ 02/25/2023

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction

Monitoring sustainable development goals requires accurate and timely so...

0 Yu Liu, et al. ∙

research

∙ 02/22/2023

Advancements in Federated Learning: Models, Methods, and Privacy

Federated learning (FL) is a promising technique for addressing the risi...

0 Huiming Chen, et al. ∙

research

∙ 02/01/2023

TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation

Model parallelism has become necessary to train large neural networks. H...

0 Ziji Shi, et al. ∙

research

∙ 01/05/2023

Modular Mix-and-Match Complementation of Büchi Automata (Technical Report)

Complementation of nondeterministic Büchi automata (BAs) is an important...

0 Vojtech Havlena, et al. ∙

research

∙ 01/02/2023

Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks

For Prognostics and Health Management (PHM) of Lithium-ion (Li-ion) batt...

1 Pengfei Wen, et al. ∙

research

∙ 11/06/2022

Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach

Existing deep learning based HDRTV reconstruction methods assume one kin...

0 Zhen Cheng, et al. ∙

research

∙ 11/02/2022

No-reference Point Cloud Geometry Quality Assessment Based on Pairwise Rank Learning

Objective geometry quality assessment of point clouds is essential to ev...

0 Zhiyong Su, et al. ∙

research

∙ 10/11/2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training

Recently, knowledge-enhanced pre-trained language models (KEPLMs) improv...

0 Taolin Zhang, et al. ∙

research

∙ 09/18/2022

Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives

With the outbreak of today's streaming data, sequential recommendation i...

0 Guanyu Lin, et al. ∙

research

∙ 09/17/2022

Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation

Deep reinforcement learning (DRL) has been proven its efficiency in capt...

0 Xiaocong Chen, et al. ∙

research

∙ 08/30/2022

EasyScale: Accuracy-consistent Elastic Training for Deep Learning

Distributed synchronized GPU training is commonly used for deep learning...

0 Mingzhen Li, et al. ∙

research

∙ 08/26/2022

Causal Inference in Recommender Systems: A Survey and Future Directions

Existing recommender systems extract the user preference based on learni...

0 Chen Gao, et al. ∙

research

∙ 08/14/2022

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction

Spatiotemporal activity prediction, aiming to predict user activities at...

0 Yinfeng Li, et al. ∙

research

∙ 08/10/2022

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias

Recommender systems are prone to be misled by biases in the data. Models...

0 Yu Zheng, et al. ∙

research

∙ 08/09/2022

A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China

In recent years, China has witnessed the proliferation and success of th...

0 Zhilong Chen, et al. ∙

research

∙ 08/08/2022

Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design

Recommender systems are playing an increasingly important role in allevi...

0 Zhilong Chen, et al. ∙

research

∙ 05/31/2022

K-Detector: Identifying Duplicate Crash Failures in Large-Scale Software Delivery

After a developer submits code, corresponding test cases arise to ensure...

0 Hao Yang, et al. ∙

research

∙ 05/05/2022

KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning

While hyper-parameters (HPs) are important for knowledge graph (KG) lear...

0 Yongqi Zhang, et al. ∙

research

∙ 04/29/2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction

The exposure sequence is being actively studied for user interest modeli...

0 Xiaoxiao Xu, et al. ∙

research

∙ 04/26/2022

A Review-aware Graph Contrastive Learning Framework for Recommendation

Most modern recommender systems predict users preferences with two compo...

0 Jie Shuai, et al. ∙

research

∙ 04/11/2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

The development of personalized recommendation has significantly improve...

0 Yuanxing Zhang, et al. ∙

research

∙ 04/08/2022

Canonical Mean Filter for Almost Zero-Shot Multi-Task classification

The support set is a key to providing conditional prior for fast adaptio...

0 Yong Li, et al. ∙

research

∙ 03/02/2022

Beyond Virtual Bazaar: How Social Commerce Promotes Inclusivity for the Traditionally Underserved Community in Chinese Developing Regions

The disadvantaged population is often underserved and marginalized in te...

0 Zhilong Chen, et al. ∙

research

∙ 01/14/2022

Structure Enhanced Graph Neural Networks for Link Prediction

Graph Neural Networks (GNNs) have shown promising results in various tas...

0 Baole Ai, et al. ∙

research

∙ 12/15/2021

LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization

Federated optimization (FedOpt), which targets at collaboratively traini...

0 Huiming Chen, et al. ∙

research

∙ 11/12/2021

Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity

Balancing social utility and equity in distributing limited vaccines rep...

0 Lin Chen, et al. ∙

research

∙ 11/05/2021

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks

Incorporating social relations into the recommendation system, i.e. soci...

0 Zirui Zhu, et al. ∙

research

∙ 11/01/2021

Improving Location Recommendation with Urban Knowledge Graph

Location recommendation is defined as to recommend locations (POIs) to u...

0 Chang Liu, et al. ∙

research

∙ 11/01/2021

Knowledge-driven Site Selection via Urban Knowledge Graph

Site selection determines optimal locations for new stores, which is of ...

0 Yu Liu, et al. ∙

research

∙ 11/01/2021

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction

With the rapid development of the mobile communication technology, mobil...

0 Huandong Wang, et al. ∙

research

∙ 10/08/2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining

Recent expeditious developments in deep learning algorithms, distributed...

7 Junyang Lin, et al. ∙

research

∙ 09/27/2021

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

Recommender system is one of the most important information services on ...

0 Chen Gao, et al. ∙

research

∙ 09/24/2021

ILA: Compilable Markdown for Linear Algebra

Communicating linear algebra in written form is challenging: mathematici...

0 Yong Li, et al. ∙

research

∙ 08/20/2021

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

Tabular data prediction (TDP) is one of the most popular industrial appl...

0 Xiawei Guo, et al. ∙

research

∙ 08/19/2021

Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables

Recently, deep learning-based image enhancement algorithms achieved stat...

8 PetsTime, et al. ∙

research

∙ 08/16/2021

DGCN: Diversified Recommendation with Graph Convolutional Networks

These years much effort has been devoted to improving the accuracy or re...

0 Yu Zheng, et al. ∙

research

∙ 08/13/2021

One-shot Transfer Learning for Population Mapping

Fine-grained population distribution data is of great importance for man...

0 Erzhuo Shao, et al. ∙

research

∙ 08/11/2021

Learning Fair Face Representation With Progressive Cross Transformer

Face recognition (FR) has made extraordinary progress owing to the advan...

1 Yong Li, et al. ∙

research

∙ 08/10/2021

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey

Recent technology development brings the booming of numerous new Demand-...

0 Zefang Zong, et al. ∙

research

∙ 07/14/2021

Graph Jigsaw Learning for Cartoon Face Recognition

Cartoon face recognition is challenging as they typically have smooth co...

9 Yong Li, et al. ∙

research

∙ 06/29/2021

Towards Understanding the Effectiveness of Attention Mechanism

Attention Mechanism is a widely used method for improving the performanc...

0 Xiang Ye, et al. ∙

research

∙ 06/14/2021

Efficient Data-specific Model Search for Collaborative Filtering

Collaborative filtering (CF), as a fundamental approach for recommender ...

0 Chen Gao, et al. ∙

research

∙ 06/10/2021

Consistent Instance False Positive Improves Fairness in Face Recognition

Demographic bias is a significant challenge in practical face recognitio...

0 Xingkun Xu, et al. ∙

Yong Li

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