Search Results for author: Ting Bai

Found 8 papers, 3 papers with code

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation

1 code implementation21 Nov 2022 Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao

Some recent knowledge distillation based methods transfer knowledge from complex teacher models to shallow student models for accelerating the online model inference.

Click-Through Rate Prediction Knowledge Distillation +1

Approximate Dynamic Programming for Platoon Coordination under Hours-of-Service Regulations

no code implementations19 Aug 2022 Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson

In our problem, trucks have fixed routes in a transportation network and can wait at hubs along their routes to form platoons with others while fulfilling the driving and rest time constraints.

Decision Making

A Pricing Rule for Third-Party Platoon Coordination Service Provider

no code implementations21 Feb 2022 Ting Bai, Alexander Johansson, ShaoYuan Li, Jonas Mårtensson

To evaluate the effect of the pricing on the platooning system, we perform a simulation over the Swedish road network.

Event-Triggered Distributed Model Predictive Control for Platoon Coordination at Hubs in a Transport System

no code implementations18 Feb 2022 Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson

This paper considers the problem of hub-based platoon coordination for a large-scale transport system, where trucks have individual utility functions to optimize.

Relation-aware Hierarchical Attention Framework for Video Question Answering

1 code implementation13 May 2021 Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu

Video Question Answering (VideoQA) is a challenging video understanding task since it requires a deep understanding of both question and video.

Question Answering Video Question Answering +1

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

1 code implementation12 Aug 2019 Yanru Qu, Ting Bai, Wei-Nan Zhang, Jian-Yun Nie, Jian Tang

This paper studies graph-based recommendation, where an interaction graph is constructed from historical records and is lever-aged to alleviate data sparsity and cold start problems.

Click-Through Rate Prediction Knowledge Graphs

A Long-Short Demands-Aware Model for Next-Item Recommendation

no code implementations12 Feb 2019 Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie

Recommending the right products is the central problem in recommender systems, but the right products should also be recommended at the right time to meet the demands of users, so as to maximize their values.

Recommendation Systems

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