Honglin Qiao

According to our database, Honglin Qiao authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support.

Xingyan Liu, Xiyue Luo, Linyu Li, Ganghong Huang, Jianfeng Liu, Honglin Qiao

CoRR, April, 2026

CirrusBench: Evaluating LLM-based Agents Beyond Correctness in Real-World Cloud Service Environments.

Yi Yu, Guangquan Hu, Chenghuang Shen, Xingyan Liu, Jing Gu, Hangyi Sun, Junzhuo Ma, Weiting Liu, Jianfeng Liu, Mingyue Pu, Yu Wang, Zhengdong Xiao, Rui Xie, Longjiu Luo, Qianrong Wang, Gurong Cui, Honglin Qiao, Wenlian Lu

CoRR, March, 2026

Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust Noise Reduction.

Yi Yu, Junzhuo Ma, Chenghuang Shen, Xingyan Liu, Jing Gu, Hangyi Sun, Guangquan Hu, Jianfeng Liu, Weiting Liu, Mingyue Pu, Yu Wang, Zhengdong Xiao, Rui Xie, Longjiu Luo, Qianrong Wang, Gurong Cui, Honglin Qiao, Wenlian Lu

CoRR, March, 2026

2022

Hybrid Modality Metric Learning for Visible-Infrared Person Re-Identification.

La Zhang, Haiyun Guo, Kuan Zhu, Honglin Qiao, Gaopan Huang, Sen Zhang, Huichen Zhang, Jian Sun, Jinqiao Wang

ACM Trans. Multim. Comput. Commun. Appl., 2022

Multi-Granularity Mutual Learning Network for Object Re-Identification.

Mingfei Tu, Kuan Zhu, Haiyun Guo, Qinghai Miao, Chaoyang Zhao, Guibo Zhu, Honglin Qiao, Gaopan Huang, Ming Tang, Jinqiao Wang

IEEE Trans. Intell. Transp. Syst., 2022

Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning.

Yuanlong Li, Gaopan Huang, Min Zhou, Chuan Fu, Honglin Qiao, Yan He

CoRR, 2022

2021

Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process.

Liangjun Feng, Chunhui Zhao, Yuanlong Li, Min Zhou, Honglin Qiao, Chuan Fu

IEEE Trans. Instrum. Meas., 2021

AAformer: Auto-Aligned Transformer for Person Re-Identification.

Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang

CoRR, 2021

2020

BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes.

Liangjun Feng, Chunhui Zhao, C. L. Philip Chen, Yuanlong Li, Min Zhou, Honglin Qiao, Chuan Fu

Neurocomputing, 2020

2019

iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases.

Jian Tan, Tieying Zhang, Feifei Li, Jie Chen, Qixing Zheng, Ping Zhang, Honglin Qiao, Yue Shi, Wei Cao, Rui Zhang

Proc. VLDB Endow., 2019

Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE.

Wenxiao Chen, Haowen Xu, Zeyan Li, Dan Pei, Jie Chen, Honglin Qiao, Yang Feng, Zhaogang Wang

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.

Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018