Search Results for author: Ting Bai

Found 17 papers, 6 papers with code

Distributed Charging Coordination for Electric Trucks under Limited Facilities and Travel Uncertainties

no code implementations14 Jul 2024 Ting Bai, Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson

The truck then receives the estimated waiting times from these stations in response, and updates its charging plan accordingly while accounting for travel uncertainties.

Learning Social Graph for Inactive User Recommendation

1 code implementation8 May 2024 Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi

In this paper, we propose a novel social recommendation method called LSIR (\textbf{L}earning \textbf{S}ocial Graph for \textbf{I}nactive User \textbf{R}ecommendation) that learns an optimal social graph structure for social recommendation, especially for inactive users.

Graph structure learning Recommendation Systems

Distributed Charging Coordination of Electric Trucks with Limited Charging Resources

1 code implementation12 Nov 2023 Ting Bai, Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson

Electric trucks usually need to charge their batteries during long-range delivery missions, and the charging times are often nontrivial.

Towards Graph Foundation Models: A Survey and Beyond

no code implementations18 Oct 2023 Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi

Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and several other domains.

Graph Learning

Large-Scale Multi-Fleet Platoon Coordination: A Dynamic Programming Approach

no code implementations21 Jul 2023 Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson

This paper presents a distributed framework for addressing multi-fleet platoon coordination in large transportation networks, where each truck has a fixed route and aims to maximize its own fleet's platooning profit by scheduling its waiting times at hubs.


EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction

1 code implementation21 Apr 2023 Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao

EulerNet converts the exponential powers of feature interactions into simple linear combinations of the modulus and phase of the complex features, making it possible to adaptively learn the high-order feature interactions in an efficient way.

Click-Through Rate Prediction

Rollout-Based Charging Strategy for Electric Trucks with Hours-of-Service Regulations (Extended Version)

no code implementations15 Mar 2023 Ting Bai, Yuchao Li, Karl H. Johansson, Jonas Mårtensson

We assume that a collection of charging and rest stations is given along a pre-planned route with known detours and that the problem data are deterministic.

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.

Model Predictive Control

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.

Model Predictive Control Scheduling

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 Relation +2

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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