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ORCIDJiaye Lin
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2020 – today
- 2024
[j5]Shuangfu Song
, Junqiao Zhao, Kai Huang, Jiaye Lin, Chen Ye, Tiantian Feng:
N$^{3}$-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-Scale 3D Mapping. IEEE Robotics Autom. Lett. 9(6): 5935-5942 (2024)- [j4]Zhongyang Zhu, Junqiao Zhao, Kai Huang, Xuebo Tian, Jiaye Lin, Chen Ye:
LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking. IEEE Robotics Autom. Lett. 9(7): 6600-6607 (2024) - [j3]Kai Huang, Junqiao Zhao, Jiaye Lin, Zhongyang Zhu, Shuangfu Song, Chen Ye, Tiantian Feng:
LOG-LIO2: A LiDAR-Inertial Odometry With Efficient Uncertainty Analysis. IEEE Robotics Autom. Lett. 9(10): 8226-8233 (2024) - [j2]Guorui Xie, Qing Li, Guanglin Duan, Jiaye Lin, Yutao Dong, Yong Jiang, Dan Zhao, Yuan Yang:
Empowering In-Network Classification in Programmable Switches by Binary Decision Tree and Knowledge Distillation. IEEE/ACM Trans. Netw. 32(1): 382-395 (2024) - [c8]Jiaye Lin, Qing Li, Guorui Xie, Zhongxu Guan, Yong Jiang, Ting Xu, Zhong Zhang, Peilin Zhao:
Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation. ACM Multimedia 2024: 7581-7590 - [c7]Jiaye Lin, Lin Li, Baosheng Yu, Weihua Ou, Jianping Gou:
Self-Distillation via Intra-Class Compactness. PRCV (1) 2024: 139-151 - [c6]Jiaye Lin, Shuang Peng, Zhong Zhang, Peilin Zhao:
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks. RecSys 2024: 1119-1124 - [i4]Shuangfu Song, Junqiao Zhao, Kai Huang, Jiaye Lin, Chen Ye, Tiantian Feng:
N3-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping. CoRR abs/2401.03412 (2024) - [i3]Kai Huang, Junqiao Zhao, Jiaye Lin, Zhongyang Zhu, Shuangfu Song, Chen Ye, Tiantian Feng:
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis. CoRR abs/2405.01316 (2024) - 2023
- [c5]Jiaye Lin, Qing Li, Guorui Xie, Yong Jiang, Zhenhui Yuan, Changlin Jiang, Yuan Yang:
In-Forest: Distributed In-Network Classification with Ensemble Models. ICNP 2023: 1-12 - [c4]Guorui Xie, Qing Li, Jiaye Lin, Gianni Antichi, Dan Zhao, Zhenhui Yuan, Ruoyu Li, Yong Jiang:
Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification. ICNP 2023: 1-11 - 2022
- [j1]Shimin Gong, Jiaye Lin, Beichen Ding, Dusit Niyato, Dong In Kim, Mohsen Guizani:
When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks. IEEE Netw. 36(2): 190-198 (2022) - [c3]Jiaye Lin, Yanjie Liu:
Semantic Assisted LiDAR Odometry with Loop Closure in Large Scale Urban Environment. ICSAI 2022: 1-6 - 2021
- [c2]ShanShan Zhong, Jiaye Lin, Dayu Huang, Manning Lu, Daifeng Li:
AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics. ICMLSC 2021: 172-178 - 2020
- [c1]Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato:
Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications. GLOBECOM 2020: 1-6 - [i2]Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato:
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications. CoRR abs/2005.11885 (2020) - [i1]Shimin Gong, Jiaye Lin, Jinbei Zhang, Dusit Niyato, Dong In Kim, Mohsen Guizani:
Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks. CoRR abs/2008.12938 (2020)
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