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ORCIDJiaye Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[i12]Huanyao Zhang, Jiepeng Zhou, Bo Li, Bowen Zhou, Yanzhe Shan, Haishan Lu, Zhiyong Cao, Jiaoyang Chen, Yuqian Han, Zinan Sheng, Zhengwei Tao, Hao Liang, Jialong Wu, Yang Shi, Yuanpeng He, Jiaye Lin, Qintong Zhang, Guochen Yan, Runhao Zhao, Zhengpin Li, Xiaohan Yu, Lang Mei, Chong Chen, Wentao Zhang, Bin Cui:
BrowseComp-V3: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents. CoRR abs/2602.12876 (2026)- 2025
- [j8]Jianping Gou
, Jiaye Lin, Lin Li, Weihua Ou, Baosheng Yu, Zhang Yi:
Intra-class progressive and adaptive self-distillation. Neural Networks 188: 107404 (2025) - [j7]Shuangfu Song, Junqiao Zhao, Eduardo E. Veas, Jiaye Lin, Qiuyi Cao, Chen Ye, Tiantian Feng:
UN3-Mapping: Uncertainty-Aware Neural Non-Projective Signed Distance Fields for 3D Mapping. IEEE Robotics Autom. Lett. 10(9): 8754-8761 (2025) - [j6]Qing Li, Jiaye Lin, Guorui Xie, Zhongxu Guan, Zeyu Luan, Zhuyun Qi, Yong Jiang, Zhenhui Yuan:
Distributed Multi-Task In-Network Classification on Programmable Switches by Ensemble Models. IEEE Trans. Netw. 33(6): 3302-3317 (2025) - [c11]Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li:
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting. IJCAI 2025: 3633-3641 - [c10]Binrui Wu, Haochen Sui, Jiaye Lin, Jiechao Gao, Ting Xu, Keyan Jin, Xuesong Zhang:
Prototype-Guided Representation Projection for Multi-Domain Multi-Task Recommendation. ACM Multimedia 2025: 6075-6083 - [c9]Zhongxu Guan, Shuai Wang, Li Chen, Zhaoteng Yan, Jiaye Lin, Dan Li, Yong Jiang, Yingxin Wang, Ziqian Liu:
Discovering Millions of New Nodes and Links in the Internet by Challenging the Uniformity Assumption in Multipath Detection. SIGCOMM 2025: 1269-1271 - [i11]Mengdi Li, Jiaye Lin, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang:
Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. CoRR abs/2505.20075 (2025) - [i10]Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du, Pin Lyu:
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving. CoRR abs/2505.21577 (2025) - [i9]Jiaye Lin, Yifu Guo, Yuzhen Han, Sen Hu, Ziyi Ni, Licheng Wang, Mingguang Chen, Hongzhang Liu, Ronghao Chen, Yangfan He, Daxin Jiang, Binxing Jiao, Chen Hu, Huacan Wang:
SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents. CoRR abs/2508.02085 (2025) - [i8]Tiancheng Yang, Lin Zhang, Jiaye Lin, Guimin Hu, Di Wang, Lijie Hu:
D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics. CoRR abs/2509.07864 (2025) - [i7]Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li:
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting. CoRR abs/2509.18107 (2025) - [i6]Xuxin Cheng, Ke Zeng, Zhiquan Cao, Linyi Dai, Wenxuan Gao, Fei Han, Ai Jian, Feng Hong, Wenxing Hu, Zihe Huang, Dejian Kong, Jia Leng, Zhuoyuan Liao, Pei Liu, Jiaye Lin, Xing Ma, Jingqing Ruan, Jiaxing Song, Xiaoyu Tan, Ruixuan Xiao, Wenhui Yu, Wenyu Zhan, Haoxing Zhang, Chao Zhou, Hao Zhou, Shaodong Zheng, Ruinian Chen, Siyuan Chen, Ziyang Chen, Yiwen Dong, Yaoyou Fan, Yangyi Fang, Yang Gan, Shiguang Guo, Qi He, Chaowen Hu, Binghui Li, Dailin Li, Xiangyu Li, Yan Li, Chengjian Liu, Xiangfeng Liu, Jiahui Lv, Qiao Ma, Jiang Pan, Cong Qin, Chenxing Sun, Wen Sun, Zhonghui Wang, Abudukelimu Wuerkaixi, Xin Yang, Fangyi Yuan, Yawen Zhu, Tianyi Zhai, Jie Zhang, Runlai Zhang, Yao Xu, Yiran Zhao, Yifan Wang, Xunliang Cai, Yangen Hu, Cao Liu, Lu Pan, Xiaoli Wang, Bo Xiao, Wenyuan Yao, Qianlin Zhou, Benchang Zhu:
Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems. CoRR abs/2510.13291 (2025) - [i5]Yifu Guo, Zishan Xu, Zhiyuan Yao, Yuquan Lu, Jiaye Lin, Sen Hu, Zhenheng Tang, Huacan Wang, Ronghao Chen:
Octopus: Agentic Multimodal Reasoning with Six-Capability Orchestration. CoRR abs/2511.15351 (2025) - 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)
Coauthor Index
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