A Convolutional Neural Network for Leaves Recognition Using Data Augmentation. - Chaoyun Zhang; Pan Zhou 001; Cheng Hua Li; Lijun Liu (CIT/IUCC/DASC/PICom, 2015)

DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns. - Xi Ouyang; Chaoyun Zhang; Pan Zhou 001; Hao Jiang 010 (CoRR, 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)

ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. - Chaoyun Zhang; Xi Ouyang; Paul Patras (CoNEXT, 2017)

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. - Chaoyun Zhang; Mingjun Zhong; Zongzuo Wang; Nigel H. Goddard; Charles Sutton (AAAI, 2018)

Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. - Rui Li 052; Chaoyun Zhang; Pan Cao; Paul Patras; John S. Thompson (MLN, 2018)

Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. - Chaoyun Zhang; Paul Patras (MobiHoc, 2018)

Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks. - Rui Li 052; Chaoyun Zhang; Paul Patras; Razvan Stanica; Fabrice Valois (SIGMETRICS Perform. Evaluation Rev., 2018)

Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. - Chaoyun Zhang; Marco Fiore 001; Paul Patras (M&N, 2019)

A 3D-CNN and LSTM Based Multi-Task Learning Architecture for Action Recognition. - Xi Ouyang; Shuangjie Xu; Chaoyun Zhang; Pan Zhou 001; Yang Yang 002; Guanghui Liu 001; Xuelong Li 001 (IEEE Access, 2019)

Deep Learning in Mobile and Wireless Networking: A Survey. - Chaoyun Zhang; Paul Patras; Hamed Haddadi (IEEE Commun. Surv. Tutorials, 2019)

Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems. - Chaoyun Zhang; Xavier Costa-Pérez; Paul Patras (CCSW, 2020)

Microscope: mobile service traffic decomposition for network slicing as a service. - Chaoyun Zhang; Marco Fiore 001; Cezary Ziemlicki; Paul Patras (MobiCom, 2020)

Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs. - Chaoyun Zhang; Rui Li 052; Woojin Kim; Daesub Yoon; Paul Patras (IEEE Access, 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)

Deep Neural Mobile Networking. - Chaoyun Zhang (CoRR, 2020)

Deep neural mobile networking. - Chaoyun Zhang (2020)

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. - Chaoyun Zhang; Marco Fiore 001; Iain Murray 001; Paul Patras (AAAI, 2021)

Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction. - Yini Fang; Alec F. Diallo; Chaoyun Zhang; Paul Patras (GLOBECOM, 2021)

QuickSkill: Novice Skill Estimation in Online Multiplayer Games. - Chaoyun Zhang; Kai Wang; Hao Chen; Ge Fan; Yingjie Li; Lifang Wu; Bingchao Zheng (CIKM, 2022)

AdnFM: An Attentive DenseNet based Factorization Machine for Click-Through-Rate Prediction. - Kai Wang; Chunxu Shen; Chaoyun Zhang; Wenye Ma (ICCDE, 2022)

Field-aware Variational Autoencoders for Billion-scale User Representation Learning. - Ge Fan; Chaoyun Zhang; Junyang Chen 001; Baopu Li; Zenglin Xu; Yingjie Li; Luyu Peng; Zhiguo Gong (ICDE, 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 001 (ASE, 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)

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. - Lu Wang 029; Chaoyun Zhang; Ruomeng Ding; Yong Xu 010; Qihang Chen; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xuedong Gao; Hao Fan; Saravan Rajmohan; Qingwei Lin; et al. (KDD, 2023)

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Xiaomin Wu; Meng Zhang 025; Qingjun Chen; Xin Gao; Xuedong Gao; Hao Fan; Saravan Rajmohan; et al. (ESEC/SIGSOFT FSE, 2023)

Assess and Summarize: Improve Outage Understanding with Large Language Models. - Pengxiang Jin; Shenglin Zhang; Minghua Ma; Haozhe Li; Yu Kang 006; Liqun Li; Yudong Liu; Bo Qiao 001; Chaoyun Zhang; Pu Zhao 004; Shilin He; Federica Sarro; et al. (ESEC/SIGSOFT FSE, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

TaskWeaver: A Code-First Agent Framework. - Bo Qiao 001; Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Chaoyun Zhang; Fangkai Yang; Hang Dong 004; Jue Zhang; Lu Wang 029; Minghua Ma; Pu Zhao 004; et al. (CoRR, 2023)

Improving Rating Prediction in Multi-Criteria Recommender Systems via a Collective Factor Model. - Ge Fan; Chaoyun Zhang; Junyang Chen 001; Paul Li; Yingjie Li; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2023)

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Yuhang Chen; Chaoyun Zhang; Minghua Ma; Yudong Liu; Ruomeng Ding; Bowen Li 002; Shilin He; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (Proc. VLDB Endow., 2023)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. - Sitao Cheng; Ziyuan Zhuang; Yong Xu 010; Fangkai Yang; Chaoyun Zhang; Xiaoting Qin; Xiang Huang 007; Ling Chen; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ACL (Findings), 2024)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Wei Zhang 056; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ACL (Findings), 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 (ACL (1), 2024)

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. - Chaoyun Zhang; Randolph Yao; Si Qin; Ze Li 005; Shekhar Agrawal; Binit R. Mishra; Tri Tran; Minghua Ma; Qingwei Lin; Murali Chintalapati; Dongmei Zhang 001 (SoCC, 2024)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

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 006; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2024)

Large Language Models Can Provide Accurate and Interpretable Incident Triage. - Zexin Wang; Jianhui Li; Minghua Ma; Ze Li 005; Yu Kang 006; Chaoyun Zhang; Chetan Bansal; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Changhua Pei; et al. (ISSRE, 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 2024)

QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. - Xiang Huang 007; Sitao Cheng; Shanshan Huang; Jiayu Shen; Yong Xu 010; Chaoyun Zhang; Yuzhong Qu (CoRR, 2024)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. - Jun Liu; Chaoyun Zhang; Jiaxu Qian; Minghua Ma; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2024)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; Ray Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (CoRR, 2024)

CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System. - Ge Fan; Chaoyun Zhang; Kai Wang; Yingjie Li; Junyang Chen 001; Zenglin Xu (Proc. ACM Hum. Comput. Interact., 2024)

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. - Linghao Zhang; Junhao Wang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Jiaheng Wen; Chengxing Xie; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; et al. (ACL (Findings), 2025)

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 006; Yuyi Liang; Xiaoyu Gou; Yajie Xue; Qingwei Lin; et al. (ICDE, 2025)

RuAG: Learned-rule-augmented Generation for Large Language Models. - Yudi Zhang 007; Pei Xiao 007; Lu Wang 029; Chaoyun Zhang; Meng Fang; Yali Du 001; Yevgeniy Puzyrev; Randolph Yao; Si Qin; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; et al. (ICLR, 2025)

OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? - Junjielong Xu; Qinan Zhang; Zhiqing Zhong; Shilin He; Chaoyun Zhang; Qingwei Lin; Dan Pei; Pinjia He; Dongmei Zhang 001; Qi Zhang 066 (ICLR, 2025)

UFO: A UI-Focused Agent for Windows OS Interaction. - Chaoyun Zhang; Liqun Li; Shilin He; Xu Zhang 024; Bo Qiao 001; Si Qin; Minghua Ma; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (NAACL (Long Papers), 2025)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; He Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (Trans. Mach. Learn. Res., 2025)

Large Language Model-Brained GUI Agents: A Survey. - Chaoyun Zhang; Shilin He; Jiaxu Qian; Bowen Li 002; Liqun Li; Si Qin; Yu Kang 006; Minghua Ma; Guyue Liu; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; et al. (Trans. Mach. Learn. Res., 2025)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model. - Jiani Zheng; Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Lingrui Mei; Wenjie Yin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

API Agents vs. GUI Agents: Divergence and Convergence. - Chaoyun Zhang; Shilin He; Liqun Li; Si Qin; Yu Kang 006; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2025)

An Empirical Study of Production Incidents in Generative AI Cloud Services. - Haoran Yan; Yinfang Chen; Minghua Ma; Ming Wen 001; Shan Lu 001; Shenglin Zhang; Tianyin Xu; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Chaoyun Zhang; Dongmei Zhang 001 (CoRR, 2025)

UFO2: The Desktop AgentOS. - Chaoyun Zhang; He Huang; Chiming Ni; Jian Mu; Si Qin; Shilin He; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chao Du; Liqun Li; Yu Kang 006; et al. (CoRR, 2025)

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. - Jiaxu Qian; Chendong Wang; Yifan Yang 004; Chaoyun Zhang; Huiqiang Jiang; Xufang Luo; Yu Kang 006; Qingwei Lin; Anlan Zhang; Shiqi Jiang; Ting Cao; Tianjun Mao; et al. (CoRR, 2025)

Text2Grad: Reinforcement Learning from Natural Language Feedback. - Hanyang Wang; Lu Wang 029; Chaoyun Zhang; Tianjun Mao; Si Qin; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)

SWE-bench Goes Live! - Linghao Zhang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Chengxing Xie; Junhao Wang; Maoquan Wang; Yufan Huang; Shengyu Fu; Elsie Nallipogu; Qingwei Lin; et al. (CoRR, 2025)

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents. - Qianhui Wu; Kanzhi Cheng; Rui Yang 010; Chaoyun Zhang; Jianwei Yang; Huiqiang Jiang; Jian Mu; Baolin Peng; Bo Qiao 001; Reuben Tan; Si Qin; Lars Liden; et al. (CoRR, 2025)