Jiaye Lin

According to our database, Jiaye Lin authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LOG-LIO2: A LiDAR-Inertial Odometry With Efficient Uncertainty Analysis.

Kai Huang, Junqiao Zhao, Jiaye Lin, Zhongyang Zhu, Shuangfu Song, Chen Ye, Tiantian Feng

IEEE Robotics Autom. Lett., October, 2024

LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.

Zhongyang Zhu, Junqiao Zhao, Kai Huang, Xuebo Tian, Jiaye Lin, Chen Ye

IEEE Robotics Autom. Lett., July, 2024

N$^{3}$-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-Scale 3D Mapping.

Shuangfu Song, Junqiao Zhao, Kai Huang, Jiaye Lin, Chen Ye, Tiantian Feng

IEEE Robotics Autom. Lett., June, 2024

Empowering In-Network Classification in Programmable Switches by Binary Decision Tree and Knowledge Distillation.

Guorui Xie, Qing Li, Guanglin Duan, Jiaye Lin, Yutao Dong, Yong Jiang, Dan Zhao, Yuan Yang

IEEE/ACM Trans. Netw., February, 2024

N³-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping.

Shuangfu Song, Junqiao Zhao, Kai Huang, Jiaye Lin, Chen Ye, Tiantian Feng

CoRR, 2024

TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks.

Jiaye Lin, Shuang Peng, Zhong Zhang, Peilin Zhao

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Self-Distillation via Intra-Class Compactness.

Jiaye Lin, Lin Li, Baosheng Yu, Weihua Ou, Jianping Gou

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation.

Jiaye Lin, Qing Li, Guorui Xie, Zhongxu Guan, Yong Jiang, Ting Xu, Zhong Zhang, Peilin Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification.

Guorui Xie, Qing Li, Jiaye Lin, Gianni Antichi, Dan Zhao, Zhenhui Yuan, Ruoyu Li, Yong Jiang

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

In-Forest: Distributed In-Network Classification with Ensemble Models.

Jiaye Lin, Qing Li, Guorui Xie, Yong Jiang, Zhenhui Yuan, Changlin Jiang, Yuan Yang

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022

When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks.

Shimin Gong, Jiaye Lin, Beichen Ding, Dusit Niyato, Dong In Kim, Mohsen Guizani

IEEE Netw., 2022

Semantic Assisted LiDAR Odometry with Loop Closure in Large Scale Urban Environment.

Jiaye Lin, Yanjie Liu

Proceedings of the 8th International Conference on Systems and Informatics, 2022

2021

AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics.

ShanShan Zhong, Jiaye Lin, Dayu Huang, Manning Lu, Daifeng Li

Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

2020

Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks.

Shimin Gong, Jiaye Lin, Jinbei Zhang, Dusit Niyato, Dong In Kim, Mohsen Guizani

CoRR, 2020

Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications.

Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato

CoRR, 2020

Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications.

Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato

Proceedings of the IEEE Global Communications Conference, 2020