Chaoyun Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Intrusion Detection

Traffic Patterns

Top Venues

ESEC/SIGSOFT FSE

Publications

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion (2024)
Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. ACL (1) (2024)
Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System. CoRR (2024)
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. CoRR (2024)
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
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR (2024)
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) (2024)
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. ACL (Findings) (2024)
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
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys (2024)
Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. CoRR (2024)
Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. CoRR (2024)
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
UFO: A UI-Focused Agent for Windows OS Interaction. CoRR (2024)
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE (2024)
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
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR (2023)
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
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD (2023)
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
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE (2023)
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. CoRR (2023)
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
TaskWeaver: A Code-First Agent Framework. CoRR (2023)
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. ESEC/SIGSOFT FSE (2023)
Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Yingjie Li, Victor C. M. Leung
Improving Rating Prediction in Multi-Criteria Recommender Systems via a Collective Factor Model. IEEE Trans. Netw. Sci. Eng. 10 (6) (2023)
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. CoRR (2023)
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
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR (2023)
Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. Proc. VLDB Endow. 17 (3) (2023)
Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. CoRR (2023)
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. CoRR (2023)
Ge Fan, Chaoyun Zhang, Kai Wang, Junyang Chen
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation. ASE (2022)
Ge Fan, Chaoyun Zhang, Kai Wang, Junyang Chen
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation. CoRR (2022)
Kai Wang, Chunxu Shen, Chaoyun Zhang, Wenye Ma
AdnFM: An Attentive DenseNet based Factorization Machine for Click-Through-Rate Prediction. ICCDE (2022)
Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. CoRR (2022)
Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. CIKM (2022)
Chaoyun Zhang, Xavier Costa-Pérez, Paul Patras
Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms. IEEE/ACM Trans. Netw. 30 (3) (2022)
Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong
Field-aware Variational Autoencoders for Billion-scale User Representation Learning. ICDE (2022)
Yini Fang, Alec F. Diallo, Chaoyun Zhang, Paul Patras
Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction. GLOBECOM (2021)
Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. AAAI (2021)
Chaoyun Zhang
Deep Neural Mobile Networking. CoRR (2020)
Chaoyun Zhang, Xavier Costa-Pérez, Paul Patras
Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems. CCSW@CCS (2020)
Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs. IEEE Access 8 (2020)
Claudio Fiandrino, Chaoyun Zhang, Paul Patras, Albert Banchs, Joerg Widmer
A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks. IEEE Commun. Mag. 58 (6) (2020)
Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, Paul Patras
Microscope: mobile service traffic decomposition for network slicing as a service. MobiCom (2020)
Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. CoRR (2019)
Chaoyun Zhang, Marco Fiore, Paul Patras
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. M&N (2019)
Chaoyun Zhang, Paul Patras, Hamed Haddadi
Deep Learning in Mobile and Wireless Networking: A Survey. IEEE Commun. Surv. Tutorials 21 (3) (2019)
Xi Ouyang, Shuangjie Xu, Chaoyun Zhang, Pan Zhou, Yang Yang, Guanghui Liu, Xuelong Li
A 3D-CNN and LSTM Based Multi-Task Learning Architecture for Action Recognition. IEEE Access 7 (2019)
Chaoyun Zhang, Marco Fiore, Paul Patras
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. CoRR (2019)
Rui Li, Chaoyun Zhang, Paul Patras, Razvan Stanica, Fabrice Valois
Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Chaoyun Zhang, Paul Patras, Hamed Haddadi
Deep Learning in Mobile and Wireless Networking: A Survey. CoRR (2018)
Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs. CoRR (2018)
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. AAAI (2018)
Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson
Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. MLN (2018)
Rui Li, Chaoyun Zhang, Paul Patras, Pan Cao, John S. Thompson
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. CoRR (2018)
Chaoyun Zhang, Paul Patras
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. MobiHoc (2018)
Chaoyun Zhang, Paul Patras
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. CoRR (2017)
Chaoyun Zhang, Xi Ouyang, Paul Patras
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. CoRR (2017)
Chaoyun Zhang, Xi Ouyang, Paul Patras
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. CoNEXT (2017)
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
Sequence-to-point learning with neural networks for nonintrusive load monitoring. CoRR (2016)
Xi Ouyang, Chaoyun Zhang, Pan Zhou, Hao Jiang
DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns. CoRR (2016)
Chaoyun Zhang, Pan Zhou, Cheng Hua Li, Lijun Liu
A Convolutional Neural Network for Leaves Recognition Using Data Augmentation. CIT/IUCC/DASC/PICom (2015)