Yunpeng Zhai

According to our database, Yunpeng Zhai authored at least 28 papers between 2018 and 2026.

Collaborative distances:

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

2026

Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning.

Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Liancheng Fang, Kening Zheng, Hongyi Liu, Xiaosong Huang, Philip S. Yu, Ying Li

CoRR, May, 2026

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Minghua He, Chiming Duan, Zhaoyang Liu, Bolin Ding, Ying Li

CoRR, April, 2026

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism.

Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Pei Xiao, Ying Li

CoRR, January, 2026

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices.

Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Mengxi Jia, Ying Li

CoRR, January, 2026

2025

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models.

Leyi Pan, Shuchang Tao, Yunpeng Zhai, Zheyu Fu, Liancheng Fang, Minghua He, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Aiwei Liu, Lijie Wen

CoRR, December, 2025

CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL.

Shinji Mai, Yunpeng Zhai, Ziqian Chen, Cheng Chen, Anni Zou, Shuchang Tao, Zhaoyang Liu, Bolin Ding

CoRR, December, 2025

AgentEvolver: Towards Efficient Self-Evolving Agent System.

Yunpeng Zhai, Shuchang Tao, Cheng Chen, Anni Zou, Ziqian Chen, Qingxu Fu, Shinji Mai, Li Yu, Jiaji Deng, Zouying Cao, Zhaoyang Liu, Bolin Ding, Jingren Zhou

CoRR, November, 2025

MicroRemed: Benchmarking LLMs in Microservices Remediation.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Minghua He, Leyi Pan, Zhaoyang Liu, Bolin Ding, Ying Li

CoRR, November, 2025

Auto-Rubric: Learning to Extract Generalizable Criteria for Reward Modeling.

Lipeng Xie, Sen Huang, Zhuo Zhang, Anni Zou, Yunpeng Zhai, Dingchao Ren, Kezun Zhang, Haoyuan Hu, Boyin Liu, Haoran Chen, Zhaoyang Liu, Bolin Ding

CoRR, October, 2025

A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models.

Lingzhe Zhang, Liancheng Fang, Chiming Duan, Minghua He, Leyi Pan, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu

CoRR, August, 2025

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models.

Leyi Pan, Zheyu Fu, Yunpeng Zhai, Shuchang Tao, Sheng Guan, Shiyu Huang, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Felix Henry, Lijie Wen, Aiwei Liu

CoRR, August, 2025

ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Siyu Yu, Jinyang Gao, Bolin Ding, Zhonghai Wu, Ying Li

CoRR, April, 2025

Contrastive Learning for Continuous Touch-Based Authentication.

Mengyu Qiao, Yunpeng Zhai, Yang Wang

CoRR, April, 2025

AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, Ying Li

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

SFCL: A Spatial-Frequency Collaborative Learning Framework for Generalizable Deepfake Detection.

Mengyu Qiao, Runze Tian, Yunpeng Zhai, Chen Li

Proceedings of the IEEE International Joint Conference on Biometrics, 2025

Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning.

Cheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023

Population-Based Evolutionary Gaming for Unsupervised Person Re-identification.

Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian

Int. J. Comput. Vis., 2023

Dynamic Belief for Decentralized Multi-Agent Cooperative Learning.

Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation.

Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning.

Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-attention Partition for Occluded Person Re-identification.

Mengxi Jia, Yifan Sun, Yunpeng Zhai, Xinhua Cheng, Yi Yang, Ying Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Adaptive Multi-Scale Semantic Fusion Network For Zero-Shot Learning.

Jing Song, Peixi Peng, Yunpeng Zhai, Chong Zhang, Yonghong Tian

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute Recognition.

Xuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang, Yonghong Tian

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Matching on Sets: Conquer Occluded Person Re-identification Without Alignment.

Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification.

Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification.

Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian

Proceedings of the Computer Vision - ECCV 2020, 2020

AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification.

Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Multi-Pose Learning based Head-Shoulder Re-identification.

Jia Li, Yunpeng Zhai, Yaowei Wang, Yemin Shi, Yonghong Tian

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018