activity
20182023
most citedAdaptive Graph Convolutional Recurrent Network for Traffic Forecasting

718 citations · 1k across the 45 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 6 cited

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving

Zhenxun Yuan, Xiao Song, Lei Bai +3

The strong demand of autonomous driving in the industry has lead to strong interest in 3D object detection and resulted in many excellent 3D object detection algorithms. However, t…

cs.AI2020★ 7 cited

Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network

Can Li, Lei Bai, Wei Liu +2

Accurate demand forecasting of different public transport modes(e.g., buses and light rails) is essential for public service operation.However, the development level of various mod…

cs.CV2020★ 1 cited

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding

Zhe Liu, Xianzhi Wang, Lina Yao +3

Predicting consumers' purchasing behaviors is critical for targeted advertisement and sales promotion in e-commerce. Human faces are an invaluable source of information for gaining…

cs.LG2020★ 8 cited

Spectrum-Guided Adversarial Disparity Learning

Zhe Liu, Lina Yao, Lei Bai +2

It has been a significant challenge to portray intraclass disparity precisely in the area of activity recognition, as it requires a robust representation of the correlation between…

cs.LG2020★ 718 cited

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Lei Bai, Lina Yao, Can Li +2

Modeling complex spatial and temporal correlations in the correlated time series data is indispensable for understanding the traffic dynamics and predicting the future status of an…

cs.LG2020★ 3 cited

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction

Zhe Liu, Lina Yao, Xianzhi Wang +2

Most current studies on survey analysis and risk tolerance modelling lack professional knowledge and domain-specific models. Given the effectiveness of generative adversarial learn…