32 citations · 40 across the 4 of their papers we have counts for
4 papers
Path-Aware Graph Attention for HD Maps in Motion Prediction
Fang Da, Yu Zhang
The success of motion prediction for autonomous driving relies on integration of information from the HD maps. As maps are naturally graph-structured, investigation on graph neural…
Multiple Interest and Fine Granularity Network for User Modeling
Jiaxuan Xie, Jianxiong Wei, Qingsong Hua +1
User modeling plays a fundamental role in industrial recommender systems, either in the matching stage and the ranking stage, in terms of both the customer experience and business…
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach
Jing Xiong, Pengyang Zhou, Alan Chen +1
Encoder-decoder-based recurrent neural network (RNN) has made significant progress in sequence-to-sequence learning tasks such as machine translation and conversational models. Rec…
Deep Latent Emotion Network for Multi-Task Learning
Huangbin Zhang, Chong Zhao, Yu Zhang +2
Feed recommendation models are widely adopted by numerous feed platforms to encourage users to explore the contents they are interested in. However, most of the current research si…