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12/25/2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations
Urban traffic speed prediction aims to estimate the future traffic speed...
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12/01/2022
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
The essential task of urban planning is to generate the optimal land-use...
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09/28/2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph contrastive learning (GCL) has been an emerging solution for graph...
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12/23/2021
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
Graph walking based on reinforcement learning (RL) has shown great succe...
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12/01/2021
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment
Motivated by the success of pre-trained language models such as BERT in ...
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10/08/2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
With the growth of the academic engines, the mining and analysis acquisi...
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05/17/2021
Learning Disentangled Representations for Time Series
Time-series representation learning is a fundamental task for time-serie...
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10/26/2020
T^2-Net: A Semi-supervised Deep Model for Turbulence Forecasting
Accurate air turbulence forecasting can help airlines avoid hazardous tu...
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09/16/2020
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
Job Title Benchmarking (JTB) aims at matching job titles with similar ex...
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09/07/2020
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
Pre-trained language models such as BERT have achieved great success in ...
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10/29/2017
Path-Based Attention Neural Model for Fine-Grained Entity Typing
Fine-grained entity typing aims to assign entity mentions in the free te...
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03/30/2017