Chaoyun Zhang

According to our database, Chaoyun Zhang authored at least 38 papers between 2015 and 2024.

Collaborative distances:

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

2024

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction.

Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu

CoRR, 2024

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments.

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

CoRR, 2024

UFO: A UI-Focused Agent for Windows OS Interaction.

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents.

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection.

Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proc. VLDB Endow., November, 2023

Improving Rating Prediction in Multi-Criteria Recommender Systems via a Collective Factor Model.

Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Yingjie Li, Victor C. M. Leung

IEEE Trans. Netw. Sci. Eng., 2023

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

TaskWeaver: A Code-First Agent Framework.

Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation.

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

Assess and Summarize: Improve Outage Understanding with Large Language Models.

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback.

Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms.

Chaoyun Zhang, Xavier Costa-Pérez, Paul Patras

IEEE/ACM Trans. Netw., 2022

MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation.

Ge Fan, Chaoyun Zhang, Kai Wang, Junyang Chen

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Field-aware Variational Autoencoders for Billion-scale User Representation Learning.

Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

AdnFM: An Attentive DenseNet based Factorization Machine for Click-Through-Rate Prediction.

Kai Wang, Chunxu Shen, Chaoyun Zhang, Wenye Ma

Proceedings of the ICCDE 2022: The 8th International Conference on Computing and Data Engineering, Bangkok, Thailand, January 11, 2022

QuickSkill: Novice Skill Estimation in Online Multiplayer Games.

Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction.

Yini Fang, Alec F. Diallo, Chaoyun Zhang, Paul Patras

Proceedings of the IEEE Global Communications Conference, 2021

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting.

Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras

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

2020

Deep neural mobile networking.

Chaoyun Zhang

PhD thesis, 2020

Deep Neural Mobile Networking.

Chaoyun Zhang

CoRR, 2020

A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks.

Claudio Fiandrino, Chaoyun Zhang, Paul Patras, Albert Banchs, Joerg Widmer

IEEE Commun. Mag., 2020

Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs.

Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras

IEEE Access, 2020

Microscope: mobile service traffic decomposition for network slicing as a service.

Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, Paul Patras

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems.

Chaoyun Zhang, Xavier Costa-Pérez, Paul Patras

Proceedings of the CCSW'20, 2020

2019

Deep Learning in Mobile and Wireless Networking: A Survey.

Chaoyun Zhang, Paul Patras, Hamed Haddadi

IEEE Commun. Surv. Tutorials, 2019

A 3D-CNN and LSTM Based Multi-Task Learning Architecture for Action Recognition.

Xi Ouyang, Shuangjie Xu, Chaoyun Zhang, Pan Zhou, Yang Yang, Guanghui Liu, Xuelong Li

IEEE Access, 2019

Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories.

Chaoyun Zhang, Marco Fiore, Paul Patras

Proceedings of the 5th IEEE International Symposium on Measurements & Networking, 2019

2018

Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks.

Rui Li, Chaoyun Zhang, Paul Patras, Razvan Stanica, Fabrice Valois

SIGMETRICS Perform. Evaluation Rev., 2018

Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks.

Chaoyun Zhang, Paul Patras

Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls.

Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson

Proceedings of the Machine Learning for Networking - First International Conference, 2018

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring.

Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network.

Chaoyun Zhang, Xi Ouyang, Paul Patras

Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies, 2017

2016

Sequence-to-point learning with neural networks for nonintrusive load monitoring.

Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton

CoRR, 2016

DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns.

Xi Ouyang, Chaoyun Zhang, Pan Zhou, Hao Jiang

CoRR, 2016

2015

A Convolutional Neural Network for Leaves Recognition Using Data Augmentation.

Chaoyun Zhang, Pan Zhou, Cheng Hua Li, Lijun Liu

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015