activity
20122023
most citedA Survey of Point-of-interest Recommendation in Location-based Social Networks

79 citations · 583 across the 45 of their papers we have counts for

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Showing 2020Show all

23 papers · 1 filter

cs.CL2020

BinaryBERT: Pushing the Limit of BERT Quantization

Haoli Bai, Wei Zhang, Lu Hou +6

The rapid development of large pre-trained language models has greatly increased the demand for model compression techniques, among which quantization is a popular solution. In thi…

cs.LG2020

AutoGraph: Automated Graph Neural Network

Yaoman Li, Irwin King

Graphs play an important role in many applications. Recently, Graph Neural Networks (GNNs) have achieved promising results in graph analysis tasks. Some state-of-the-art GNN models…

cs.CV20202 cited

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings

Yue Wang, Jing Li, Michael R. Lyu +1

Social media produces large amounts of contents every day. To help users quickly capture what they need, keyphrase prediction is receiving a growing attention. Nevertheless, most p…

cs.SE20202 cited

Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience

Cuiyun Gao, Jichuan Zeng, Federica Sarro +3

Context: In-app advertising is the primary source of revenue for many mobile apps. The cost of advertising (ad cost) is non-negligible for app developers to ensure a good user expe…

cs.CL2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

Yifan Gao, Chien-Sheng Wu, Jingjing Li +5

Document interpretation and dialog understanding are the two major challenges for conversational machine reading. In this work, we propose Discern, a discourse-aware entailment rea…

cs.LG2020

Effective Data-aware Covariance Estimator from Compressed Data

Xixian Chen, Haiqin Yang, Shenglin Zhao +2

Estimating covariance matrix from massive high-dimensional and distributed data is significant for various real-world applications. In this paper, we propose a data-aware weighted…