Jiaye Lin

According to our database, Jiaye Lin authored at least 37 papers between 2020 and 2026.

Collaborative distances:

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

2026

TrajShield: Trajectory-Level Safety Mediation for Defending Text-to-Video Models Against Jailbreak Attacks.

Quanchen Zou, Nizhang Li, Wenxin Zhang, Jiaye Lin, Yangchen Zeng, Xiangzheng Zhang, Zonghao Ying

CoRR, May, 2026

Placing Puzzle Pieces Where They Matter: A Question Augmentation Framework for Reinforcement Learning.

Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi

CoRR, April, 2026

From logπ to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight.

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Chaowen Hu, Cong Qin, Zekai Shao, Binbin Zheng, Lu Pan, Ke Zeng

CoRR, March, 2026

Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training.

Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi, Chang Liu, Peilin Zhao

CoRR, February, 2026

How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization.

Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi, Chaowen Hu, Lu Pan, Ke Zeng, Xunliang Cai

CoRR, February, 2026

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning.

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai

CoRR, February, 2026

BrowseComp-V³: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents.

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

CoRR, February, 2026

BayWatch: Practical Internet-Scale Topology Monitoring with Dynamic Bayesian Estimation.

Zhongxu Guan, Shuai Wang, Li Chen, Zhaoteng Yan, Jiaye Lin, Dan Li, Yong Jiang, Yingxin Wang, Ziqian Liu

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025

Distributed Multi-Task In-Network Classification on Programmable Switches by Ensemble Models.

Qing Li, Jiaye Lin, Guorui Xie, Zhongxu Guan, Zeyu Luan, Zhuyun Qi, Yong Jiang, Zhenhui Yuan

IEEE Trans. Netw., December, 2025

Octopus: Agentic Multimodal Reasoning with Six-Capability Orchestration.

Yifu Guo, Zishan Xu, Zhiyuan Yao, Yuquan Lu, Jiaye Lin, Sen Hu, Zhenheng Tang, Huacan Wang, Ronghao Chen

CoRR, November, 2025

Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems.

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

CoRR, October, 2025

UN3-Mapping: Uncertainty-Aware Neural Non-Projective Signed Distance Fields for 3D Mapping.

Shuangfu Song, Junqiao Zhao, Eduardo E. Veas, Jiaye Lin, Qiuyi Cao, Chen Ye, Tiantian Feng

IEEE Robotics Autom. Lett., September, 2025

D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics.

Tiancheng Yang, Lin Zhang, Jiaye Lin, Guimin Hu, Di Wang, Lijie Hu

CoRR, September, 2025

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents.

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

CoRR, August, 2025

Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback.

Mengdi Li, Jiaye Lin, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang

CoRR, May, 2025

Intra-class progressive and adaptive self-distillation.

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

Neural Networks, 2025

Discovering Millions of New Nodes and Links in the Internet by Challenging the Uniformity Assumption in Multipath Detection.

Zhongxu Guan, Shuai Wang, Li Chen, Zhaoteng Yan, Jiaye Lin, Dan Li, Yong Jiang, Yingxin Wang, Ziqian Liu

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving.

Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du, Pin Lyu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents.

Yifu Guo, Jiaye Lin, Huacan Wang, Yuzhen Han, Sen Hu, Ziyi Ni, Licheng Wang, Mingguang Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Prototype-Guided Representation Projection for Multi-Domain Multi-Task Recommendation.

Binrui Wu, Haochen Sui, Jiaye Lin, Jiechao Gao, Ting Xu, Keyan Jin, Xuesong Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting.

Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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