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Chaoyun Zhang
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2020 – today
- 2024
- [c20]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: 674-688 - [c19]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: 92:1-92:13 - [c18]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: 38-49 - [i25]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 abs/2402.07939 (2024) - [i24]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 abs/2403.08593 (2024) - [i23]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 abs/2403.11886 (2024) - [i22]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 abs/2403.15157 (2024) - [i21]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 abs/2405.15370 (2024) - [i20]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 abs/2406.19720 (2024) - 2023
- [j8]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): 359-372 (2023) - [j7]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): 3633-3643 (2023) - [c17]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: 5116-5125 - [c16]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: 1657-1668 - [c15]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: 1762-1773 - [i19]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 abs/2305.15778 (2023) - [i18]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 abs/2305.18084 (2023) - [i17]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 abs/2307.00754 (2023) - [i16]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 abs/2310.18740 (2023) - [i15]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 abs/2311.04254 (2023) - [i14]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 abs/2311.17541 (2023) - [i13]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 abs/2312.11988 (2023) - 2022
- [j6]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): 1294-1311 (2022) - [c14]Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan
, Yingjie Li, Lifang Wu, Bingchao Zheng:
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. CIKM 2022: 3644-3653 - [c13]Kai Wang, Chunxu Shen, Chaoyun Zhang, Wenye Ma:
AdnFM: An Attentive DenseNet based Factorization Machine for Click-Through-Rate Prediction. ICCDE 2022: 1-7 - [c12]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: 3413-3425 - [c11]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: 139:1-139:5 - [i12]Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan
, Yingjie Li, Lifang Wu, Bingchao Zheng:
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. CoRR abs/2208.07704 (2022) - [i11]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 abs/2210.07660 (2022) - 2021
- [c10]Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras:
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. AAAI 2021: 10851-10858 - [c9]Yini Fang, Alec F. Diallo
, Chaoyun Zhang, Paul Patras:
Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction. GLOBECOM 2021: 1-6 - 2020
- [b1]Chaoyun Zhang:
Deep neural mobile networking. University of Edinburgh, UK, 2020 - [j5]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: 191138-191151 (2020) - [j4]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): 20-25 (2020) - [c8]Chaoyun Zhang, Xavier Costa-Pérez
, Paul Patras:
Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems. CCSW 2020: 27-39 - [c7]Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, Paul Patras:
Microscope: mobile service traffic decomposition for network slicing as a service. MobiCom 2020: 38:1-38:14 - [i10]Chaoyun Zhang:
Deep Neural Mobile Networking. CoRR abs/2011.05267 (2020)
2010 – 2019
- 2019
- [j3]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: 40757-40770 (2019) - [j2]Chaoyun Zhang
, Paul Patras
, Hamed Haddadi:
Deep Learning in Mobile and Wireless Networking: A Survey. IEEE Commun. Surv. Tutorials 21(3): 2224-2287 (2019) - [c6]Chaoyun Zhang, Marco Fiore, Paul Patras
:
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. M&N 2019: 1-6 - [i9]Chaoyun Zhang, Marco Fiore, Paul Patras:
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. CoRR abs/1905.09771 (2019) - [i8]Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras:
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. CoRR abs/1907.12410 (2019) - 2018
- [j1]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): 163-166 (2018) - [c5]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: 2604-2611 - [c4]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: 146-165 - [c3]Chaoyun Zhang, Paul Patras
:
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. MobiHoc 2018: 231-240 - [i7]Chaoyun Zhang, Paul Patras, Hamed Haddadi:
Deep Learning in Mobile and Wireless Networking: A Survey. CoRR abs/1803.04311 (2018) - [i6]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 abs/1810.00356 (2018) - [i5]Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras:
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs. CoRR abs/1811.09128 (2018) - 2017
- [c2]Chaoyun Zhang, Xi Ouyang, Paul Patras
:
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. CoNEXT 2017: 363-375 - [i4]Chaoyun Zhang, Xi Ouyang, Paul Patras:
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. CoRR abs/1711.02413 (2017) - [i3]Chaoyun Zhang, Paul Patras:
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. CoRR abs/1712.08083 (2017) - 2016
- [i2]Xi Ouyang, Chaoyun Zhang, Pan Zhou, Hao Jiang:
DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns. CoRR abs/1610.07009 (2016) - [i1]Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton:
Sequence-to-point learning with neural networks for nonintrusive load monitoring. CoRR abs/1612.09106 (2016) - 2015
- [c1]Chaoyun Zhang, Pan Zhou, Cheng Hua Li, Lijun Liu:
A Convolutional Neural Network for Leaves Recognition Using Data Augmentation. CIT/IUCC/DASC/PICom 2015: 2143-2150
Coauthor Index
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last updated on 2024-08-10 00:32 CEST by the dblp team
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