Ying Li - RankMe

194 papers A* 23A 35B 15C 9Misc 6Journal 54Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of AIOps in the Era of Large Language Models. ACM Comput. Surv. Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2026	J	`jnl`	Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices. CoRR Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Mengxi Jia, Ying Li
2026	J	`jnl`	DeLog: An Efficient Log Compression Framework with Pattern Signature Synthesis. CoRR Siyu Yu, Yifan Wu, Junjielong Xu, Ying Fu, Ning Wang, Maoyin Liu, Pancheng Jiang, Xiang Zhang, Tong Jia, Pinjia He, Ying Li
2026	J	`jnl`	Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation. CoRR Lingzhe Zhang, Tong Jia, Mingyu Wang, Weijie Hong, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Gong Zhang, Renhai Chen, Ying Li
2026	J	`jnl`	Explainable Deepfake Detection with RL Enhanced Self-Blended Images. CoRR Ning Jiang, Dingheng Zeng, Yanhong Liu, Haiyang Yi, Shijie Yu, Minghe Weng, Haifeng Shen, Ying Li
2026	J	`jnl`	Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism. CoRR Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Pei Xiao, Ying Li
2026	J	`jnl`	RuntimeSlicer: Towards Generalizable Unified Runtime State Representation for Failure Management. CoRR Lingzhe Zhang, Tong Jia, Weijie Hong, Mingyu Wang, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Gong Zhang, Renhai Chen, Ying Li
2026	J	`jnl`	UDA-RCL: Unsupervised Domain Adaptation for Microservice Root Cause Localization Utilizing Multimodal Data. IEEE Trans. Serv. Comput. Xiaosong Huang, Hongyi Liu, Yifan Wu, Lingzhe Zhang, Tong Jia, Ying Li, Zhonghai Wu
2026	A*	`conf`	VarParser: Unleashing the Neglected Power of Variables for LLM-based Log Parsing. WWW Jinrui Sun, Tong Jia, Minghua He, Ying Li
2025	J	`jnl`	A Survey of AIOps in the Era of Large Language Models. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2025	A	`conf`	AAAD: Asynchronous Inter-Variable Relationship-Aware Anomaly Detection for Multivariate Time Series. ICME Hongyi Liu, Xiaosong Huang, Mengxi Jia, Lingzhe Zhang, Tong Jia, Zhonghai Wu, Ying Li
2025	J	`jnl`	Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought. CoRR Lingzhe Zhang, Tong Jia, Kangjin Wang, Weijie Hong, Chiming Duan, Minghua He, Ying Li
2025	—	`conf`	AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents. SIGSOFT FSE Companion Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, Ying Li
2025	J	`jnl`	AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents. CoRR Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, Ying Li
2025	A*	`conf`	An Empirical Study on Commit Message Generation Using LLMs via In-Context Learning. ICSE Yifan Wu, Yunpeng Wang, Ying Li, Wei Tao, Siyu Yu, Haowen Yang, Wei Jiang, Jianguo Li
2025	—	`conf`	CLSLog: Collaborating Large and Small Models for Log-based Anomaly Detection. SIGSOFT FSE Companion Pei Xiao, Tong Jia, Chiming Duan, Minghua He, Weijie Hong, Xixuan Yang, Yihan Wu, Ying Li, Gang Huang
2025	A	`conf`	CSLParser: A Collaborative Framework Using Small and Large Language Models for Log Parsing. ISSRE Weijie Hong, Yifan Wu, Lingzhe Zhang, Chiming Duan, Pei Xiao, Minghua He, Xixuan Yang, Ying Li
2025	A*	`conf`	CoorLog: Efficient-Generalizable Log Anomaly Detection via Adaptive Coordinator in Software Evolution. ASE Pei Xiao, Chiming Duan, Minghua He, Tong Jia, Yifan Wu, Jing Xu, Gege Gao, Lingzhe Zhang, Weijie Hong, Ying Li, Gang Huang
2025	J	`jnl`	DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model. CoRR Hao Yu, Tianyu Chen, Jiaming Huang, Zongyang Li, Dezhi Ran, Xinyu Wang, Ying Li, Assaf Marron, David Harel, Yuan Xie, Tao Xie
2025	Misc	`conf`	Device-aware Optical Adversarial Attack for a Portable Projector-camera System. ICASSP Ning Jiang, Yanhong Liu, Dingheng Zeng, Yue Feng, Weihong Deng, Ying Li
2025	J	`jnl`	E-Log: Fine-Grained Elastic Log-Based Anomaly Detection and Diagnosis for Databases. IEEE Trans. Serv. Comput. Lingzhe Zhang, Tong Jia, Xinyu Tan, Xiangdong Huang, Mengxi Jia, Hongyi Liu, Zhonghai Wu, Ying Li
2025	Misc	`conf`	EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection. ICASSP Chiming Duan, Tong Jia, Yong Yang, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang
2025	J	`jnl`	Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy. CoRR Zihao Feng, Xiaoxue Wang, Bowen Wu, Weihong Zhong, Zhen Xu, Hailong Cao, Tiejun Zhao, Ying Li, Baoxun Wang
2025	—	`conf`	Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis. WWW (Companion Volume) Xixuan Yang, Xin Huang, Chiming Duan, Tong Jia, Shandong Dong, Ying Li, Gang Huang
2025	J	`jnl`	Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis. CoRR Xixuan Yang, Xin Huang, Chiming Duan, Tong Jia, Shandong Dong, Ying Li, Gang Huang
2025	—	`conf`	Exploring Variable Potential for LLM-based Log Parsing Efficiency and Reduced Costs. SIGSOFT FSE Companion Jinrui Sun, Tong Jia, Minghua He, Yihan Wu, Ying Li, Gang Huang
2025	A*	`conf`	Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion. ICSE Chiming Duan, Yong Yang, Tong Jia, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang
2025	—	`conf`	From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning. SIGSOFT FSE Companion Xinlong Zhao, Tong Jia, Minghua He, Yihan Wu, Ying Li, Gang Huang
2025	J	`jnl`	From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning. CoRR Xinlong Zhao, Tong Jia, Minghua He, Yihan Wu, Ying Li, Gang Huang
2025	A	`conf`	IFKG: An Intelligent Fault Diagnosis Tool with Knowledge Graph and Generative LLM. SANER Xixuan Yang, Tong Jia, Ying Li, Gang Huang
2025	J	`jnl`	Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History. CoRR Bowen Wu, Wenqing Wang, Haoran Li, Ying Li, Jingsong Yu, Baoxun Wang
2025	A	`conf`	Log Parsing Using LLMs with Self-Generated In-Context Learning and Self-Correction. ICPC Yifan Wu, Siyu Yu, Ying Li
2025	A*	`conf`	LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation. ASE Chiming Duan, Minghua He, Pei Xiao, Tong Jia, Xin Zhang, Zhewei Zhong, Xiang Luo, Yan Niu, Lingzhe Zhang, Siyu Yu, Yifan Wu, Weijie Hong, Ying Li, Gang Huang
2025	J	`jnl`	LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation. CoRR Chiming Duan, Minghua He, Pei Xiao, Tong Jia, Xin Zhang, Zhewei Zhong, Xiang Luo, Yan Niu, Lingzhe Zhang, Yifan Wu, Siyu Yu, Weijie Hong, Ying Li, Gang Huang
2025	J	`jnl`	LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog). CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li
2025	J	`jnl`	LogLabeler: Towards Effective Acquisition of Log Labels in Industrial Log-Based Analysis. IEEE Trans. Serv. Comput. Zongyang Li, Qinglong Wang, Shangming Cai, Zheng Liu, Tao Ma, Wei Yang, Ying Li, Tao Xie
2025	Misc	`conf`	MS-UFAD: A Large-Scale Dataset for Real-world Unified Face Attack Detection with Text Descriptions. ICASSP Ning Jiang, Dingheng Zeng, Liang Gao, Sheng Chen, Zhifei Kong, Yanhong Liu, Jiao Li, Yue Feng, Tongtong Yuan, Weihong Deng, Quan Lu, Ying Li
2025	J	`jnl`	MicroRemed: Benchmarking LLMs in Microservices Remediation. CoRR Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Minghua He, Leyi Pan, Zhaoyang Liu, Bolin Ding, Ying Li
2025	B	`conf`	ODE: Decision-based Black-box Adversarial Attack through Orthogonal Distribution Evolution. IJCNN Hongyi Liu, Yutong Fang, Tong Jia, Ying Li
2025	A	`conf`	ORA: Job Runtime Prediction for High-Performance Computing Platforms Using the Online Retrieval-Augmented Language Model. ICS Hongyi Liu, Yinping Ma, Xiaosong Huang, Lingzhe Zhang, Tong Jia, Ying Li
2025	B	`conf`	RAIDEN Benchmark: Evaluating Role-playing Conversational Agents with Measurement-Driven Custom Dialogues. COLING Bowen Wu, Kaili Sun, Ziwei Bai, Ying Li, Baoxun Wang
2025	J	`jnl`	RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable Reward. CoRR Zongsheng Wang, Kaili Sun, Bowen Wu, Qun Yu, Ying Li, Baoxun Wang
2025	Misc	`conf`	ScalaLog: Scalable Log-Based Failure Diagnosis Using LLM. ICASSP Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Hongyi Liu, Ying Li
2025	J	`jnl`	ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning. CoRR Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Siyu Yu, Jinyang Gao, Bolin Ding, Zhonghai Wu, Ying Li
2025	J	`jnl`	Towards Close-to-Zero Runtime Collection Overhead: Raft-Based Anomaly Diagnosis on System Faults for Distributed Storage System. IEEE Trans. Serv. Comput. Lingzhe Zhang, Tong Jia, Mengxi Jia, Hongyi Liu, Yong Yang, Zhonghai Wu, Ying Li
2025	J	`jnl`	Tracing Service Request Processing in Cloud. Softw. Test. Verification Reliab. Yinqin Zhao, Chang Liu, Tao Yu, Long Wang, Xuanqing Shi, Yong Yang, Ying Li, Zhengang Wang, Dongdong Shangguan
2025	A*	`conf`	United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning. ASE Minghua He, Chiming Duan, Pei Xiao, Tong Jia, Siyu Yu, Lingzhe Zhang, Weijie Hong, Jin Han, Yifan Wu, Ying Li, Gang Huang
2025	J	`jnl`	United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning. CoRR Minghua He, Chiming Duan, Pei Xiao, Tong Jia, Siyu Yu, Lingzhe Zhang, Weijie Hong, Jin Han, Yifan Wu, Ying Li, Gang Huang
2025	A*	`conf`	Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable? ASE Minghua He, Tong Jia, Chiming Duan, Pei Xiao, Lingzhe Zhang, Kangjin Wang, Yifan Wu, Ying Li, Gang Huang
2025	J	`jnl`	Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable? CoRR Minghua He, Tong Jia, Chiming Duan, Pei Xiao, Lingzhe Zhang, Kangjin Wang, Yifan Wu, Ying Li, Gang Huang
2025	A*	`conf`	Weakly-Supervised Log-Based Anomaly Detection with Inexact Labels via Multi-Instance Learning. ICSE Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang
2025	J	`jnl`	Wenwang: Toward Effectively Generating Code Beyond Standalone Functions via Generative Pre-trained Models. ACM Trans. Softw. Eng. Methodol. Hao Yu, Bo Shen, Jiaxin Zhang, Shaoxin Lin, Lin Li, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie
2025	A	`conf`	ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection. ISSRE Xinlong Zhao, Tong Jia, Minghua He, Ying Li, Gang Huang
2025	J	`jnl`	ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection. CoRR Xinlong Zhao, Tong Jia, Minghua He, Ying Li, Gang Huang
2024	J	`jnl`	A Survey of AIOps for Failure Management in the Era of Large Language Models. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2024	J	`jnl`	Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels. IEEE Trans. Big Data Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
2024	A*	`conf`	CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. ICSE Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie
2024	—	`conf`	Commit Message Generation via ChatGPT: How Far Are We? FORGE Yifan Wu, Ying Li, Siyu Yu
2024	J	`jnl`	Hilogx: noise-aware log-based anomaly detection with human feedback. VLDB J. Tong Jia, Ying Li, Yong Yang, Gang Huang
2024	A	`conf`	LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events. ISSRE Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang
2024	J	`jnl`	Log Parsing with Self-Generated In-Context Learning and Self-Correction. CoRR Yifan Wu, Siyu Yu, Ying Li
2024	A	`conf`	LogCAE: An Approach for Log-based Anomaly Detection with Active Learning and Contrastive Learning. ISSRE Pei Xiao, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang
2024	J	`jnl`	LogPTR: Variable-Aware Log Parsing with Pointer Network. CoRR Yifan Wu, Bingxu Chai, Siyu Yu, Ying Li, Pinjia He, Wei Jiang, Jianguo Li
2024	—	`conf`	MMDL-Based Data Augmentation with Domain Knowledge for Time Series Classification. ECML/PKDD (3) Xiaosheng Li, Yifan Wu, Wei Jiang, Ying Li, Jianguo Li
2024	A*	`conf`	MetaLog: Generalizable Cross-System Anomaly Detection from Logs with Meta-Learning. ICSE Chenyangguang Zhang, Tong Jia, Guopeng Shen, Pinyan Zhu, Ying Li
2024	A*	`conf`	Multivariate Log-based Anomaly Detection for Distributed Database. KDD Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu
2024	J	`jnl`	Multivariate Log-based Anomaly Detection for Distributed Database. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu
2024	—	`conf`	NICSDG: A Non-Intrusive Approach to Constructing Concise Service Dependency Graphs for Microservice Systems. ISSRE (Workshops) Weijie Hong, Yong Yang, Junqi Wu, Dongdong Shangguan, Yuanhao Lai, Qiang Bai, Ying Li
2024	A	`conf`	OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents. SANER Xiaosong Huang, Hongyi Liu, Yifan Wu, Yujin Zhao, Changlong Wu, Songlin Zhang, Ling Jiang, Tong Jia, Ying Li, Zhonghai Wu
2024	A	`conf`	Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study. ESEM Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yong Yang, Ying Li
2024	J	`jnl`	Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study. CoRR Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yang Yong, Ying Li
2024	J	`jnl`	UAC-AD: Unsupervised Adversarial Contrastive Learning for Anomaly Detection on Multi-Modal Data in Microservice Systems. IEEE Trans. Serv. Comput. Hongyi Liu, Xiaosong Huang, Mengxi Jia, Tong Jia, Jing Han, Zhonghai Wu, Ying Li
2024	A	`conf`	Understanding and Improving Change Risk Detection in Practice. SANER Yifan Wu, Yunpeng Wang, Jianguo Li, Ying Li, Bingxu Chai, Wei Jiang
2024	A*	`conf`	Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing. ASE Siyu Yu, Yifan Wu, Ying Li, Pinjia He
2024	J	`jnl`	Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing. CoRR Siyu Yu, Yifan Wu, Ying Li, Pinjia He
2023	A	`conf`	AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning. ISSRE Chiming Duan, Tong Jia, Huaqian Cai, Ying Li, Gang Huang
2023	A	`conf`	AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning. ICWS Chiming Duan, Tong Jia, Ying Li, Gang Huang
2023	—	`conf`	An Empirical Study on Change-induced Incidents of Online Service Systems. ICSE-SEIP Yifan Wu, Bingxu Chai, Ying Li, Bingchang Liu, Jianguo Li, Yong Yang, Wei Jiang
2023	J	`jnl`	Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies Without Code Instrumentation. IEEE Trans. Serv. Comput. Yong Yang, Long Wang, Jing Gu, Ying Li
2023	J	`jnl`	CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. CoRR Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Tao Xie, Qianxiang Wang
2023	—	`conf`	Fusing Global and Local Interests with Contrastive Learning in Session-Based Recommendation. APWeb/WAIM (4) Su Zhang, Ye Tao, Ying Li, Zhonghai Wu
2023	A	`conf`	How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle. ISSRE Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu
2023	A	`conf`	Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems. ISSRE Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Tong Jia, Xiaosong Huang, Ying Li, Zhonghai Wu
2023	—	`conf`	Select, Extend, and Generate: Generative Knowledge Selection for Open-Domain Dialogue Response Generation. DASFAA (3) Sixing Wu, Ping Xue, Ye Tao, Ying Li, Zhonghai Wu
2023	A*	`conf`	Semi-attention Partition for Occluded Person Re-identification. AAAI Mengxi Jia, Yifan Sun, Yunpeng Zhai, Xinhua Cheng, Yi Yang, Ying Li
2023	A	`conf`	UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction. SANER Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu
2022	J	`jnl`	Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning. ACM Trans. Softw. Eng. Methodol. Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie
2022	A*	`conf`	Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback. KDD Tong Jia, Ying Li, Yong Yang, Gang Huang, Zhonghai Wu
2022	A*	`conf`	Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. ICSE Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang
2022	—	`conf`	Cache Antagonists Identification: A Practice from Alibaba Colocation Datacenter. ISSRE Workshops Kangjin Wang, Chuanjia Hou, Ying Li, Yaoyong Dou, Cheng Wang, Yang Wen, Jie Yao, Liping Zhang
2022	A	`conf`	Cascade Vertical Federated Learning. ICME Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
2022	B	`conf`	Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis. ICPP Kangjin Wang, Ying Li, Cheng Wang, Tong Jia, Kingsum Chow, Yang Wen, Yaoyong Dou, Guoyao Xu, Chuanjia Hou, Jie Yao, Liping Zhang
2022	—	`conf`	E APWeb/WAIM (2) Zhirong Hou, Meiling Wang, Min Li, Ying Li
2022	J	`jnl`	Generating Rational Commonsense Knowledge-Aware Dialogue Responses With Channel-Aware Knowledge Fusing Network. IEEE ACM Trans. Audio Speech Lang. Process. Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu
2022	A	`conf`	Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources. WSDM Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu
2022	J	`jnl`	Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering. ACM Trans. Archit. Code Optim. Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu
2022	—	`conf`	KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding. ACL (Findings) Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu
2022	J	`jnl`	Probabilistic Hesitant Fuzzy Taxonomy Method Based on Best-Worst-Method (BWM) and Indifference Threshold-Based Attribute Ratio Analysis (ITARA) for Multi-attributes Decision-Making. Int. J. Fuzzy Syst. Peide Liu, Yifan Wu, Ying Li
2022	—	`conf`	Revisiting Attention-Based Graph Neural Networks for Graph Classification. PPSN (1) Ye Tao, Ying Li, Zhonghai Wu
2022	A*	`conf`	Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network. WWW Ye Tao, Ying Li, Su Zhang, Zhirong Hou, Zhonghai Wu
2022	B	`conf`	Section-Aware Commonsense Knowledge-Grounded Dialogue Generation with Pre-trained Language Model. COLING Sixing Wu, Ying Li, Ping Xue, Dawei Zhang, Zhonghai Wu
2022	—	`conf`	SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification. PPSN (1) Ye Tao, Ying Li, Zhonghai Wu
2022	A	`conf`	Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection. CIKM Kaiting Lai, Yinong Long, Bowen Wu, Ying Li, Baoxun Wang
2022	C	`conf`	Tracing Processing of Service Requests in Cloud Environments. PRDC Yinqin Zhao, Chang Liu, Tao Yu, Long Wang, Xuanqing Shi, Yong Yang, Ying Li, Zhengang Wang, Dongdong Shangguan
2021	J	`jnl`	A Vertical Federated Learning Framework for Horizontally Partitioned Labels. CoRR Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
2021	—	`conf`	ColocationSim: Simulate Colocation Datacenter with Microservices and Performance Interference. ISSRE Workshops Kangjin Wang, Ying Li
2021	—	`conf`	Diagnosing Performance Issues in Microservices with Heterogeneous Data Source. ISPA/BDCloud/SocialCom/SustainCom Chuanjia Hou, Tong Jia, Yifan Wu, Ying Li, Jing Han
2021	—	`conf`	Distilling the Documents for Relation Extraction by Topic Segmentation. ICDAR (1) Minghui Wang, Ping Xue, Ying Li, Zhonghai Wu
2021	—	`conf`	How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness. ISSRE Workshops Chengbo Zhang, Ying Li, Yong Yang, Tong Jia, Zhirong Hou
2021	A*	`conf`	Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. IJCAI Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu
2021	A	`conf`	LogFlash: Real-time Streaming Anomaly Detection and Diagnosis from System Logs for Large-scale Software Systems. ISSRE Tong Jia, Yifan Wu, Chuanjia Hou, Ying Li
2021	—	`conf`	Mining Configuration Items From System Logs through Distant Supervision. ISPA/BDCloud/SocialCom/SustainCom Qixun Zhang, Tong Jia, Wensheng Xia, Ying Li, Zhonghai Wu, Jing Han
2021	—	`conf`	Mining Event Logic Graph from Open Q&A Site for Automated Program Repair. QRS Companion Chuanjia Hou, Xiaotong Liu, Hao Yu, Tong Jia, Ying Li
2021	—	`conf`	More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge. EMNLP (1) Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu
2021	Misc	`conf`	Multi Path Training Framework for Data-Driven Open-Domain Conversation System. ICASSP Sixing Wu, Dawei Zhang, Ying Li, Zhonghai Wu
2021	A	`conf`	Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs. ICME Ye Tao, Ying Li, Zhonghai Wu
2021	Misc	`conf`	Temporal Link Prediction Via Reinforcement Learning. ICASSP Ye Tao, Ying Li, Zhonghai Wu
2020	B	`conf`	Automatically Generating Descriptive Texts in Logging Statements: How Far Are We? APLAS Xiaotong Liu, Tong Jia, Ying Li, Hao Yu, Yang Yue, Chuanjia Hou
2020	A*	`conf`	Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness. ACL Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
2020	A	`conf`	How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method. ISSRE Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, Ying Li
2020	—	`conf`	Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues. EMNLP (Findings) Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu
2020	A*	`conf`	TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. IJCAI Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
2020	J	`jnl`	Transparently Capturing Request Execution Path for Anomaly Detection. CoRR Yong Yang, Long Wang, Jing Gu, Ying Li
2019	C	`conf`	BugIdentifier: An Approach to Identifying Bugs via Log Mining for Accelerating Bug Reporting Stage. QRS Wensheng Xia, Ying Li, Tong Jia, Zhonghai Wu
2019	A	`conf`	Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing. ICME Qiang Fu, Linsen Dong, Ziyuan Liu, Yong Luo, Yonggang Wen, Ying Li, Ling-Yu Duan
2019	—	`conf`	Lopper: An Efficient Method for Online Log Pattern Mining Based on Hybrid Clustering Tree. DEXA (1) Jiawei Liu, Zhirong Hou, Ying Li
2019	A*	`ed.`	Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. KDD Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
2018	J	`jnl`	Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System. Int. J. Distributed Syst. Technol. Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan, Zhonghai Wu
2018	—	`conf`	Auto-Tuning Spark Configurations Based on Neural Network. ICC Jing Gu, Ying Li, Hongyan Tang, Zhonghai Wu
2018	A*	`conf`	Brief Announcement: Automatic Log Enhancement for Fault Diagnosis. PODC Tong Jia, Ying Li, Zhonghai Wu
2018	—	`conf`	DLCEncDec : A Fully Character-Level Encoder-Decoder Model for Neural Responding Conversation. COMPSAC (1) Sixing Wu, Ying Li, Xinyuan Zhang, Zhonghai Wu
2018	J	`jnl`	Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China. Computer Jiangtao Wang, Junfeng Zhao, Yong Zhang, Xin Peng, Ying Li, Yun Xie
2018	—	`conf`	GaiaGPU: Sharing GPUs in Container Clouds. ISPA/IUCC/BDCloud/SocialCom/SustainCom Jing Gu, Shengbo Song, Ying Li, Hanmei Luo
2018	B	`conf`	HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation. COLING Sixing Wu, Dawei Zhang, Ying Li, Xing Xie, Zhonghai Wu
2018	—	`conf`	KEREP: Experience in Extracting Knowledge on Distributed System Behavior through Request Execution Path. ISSRE Workshops Jing Gu, Long Wang, Yong Yang, Ying Li
2018	—	`conf`	Machine Deserves Better Logging: A Log Enhancement Approach for Automatic Fault Diagnosis. ISSRE Workshops Tong Jia, Ying Li, Chengbo Zhang, Wensheng Xia, Jie Jiang, Yuhong Liu
2018	—	`conf`	Synthetic Data Approach for Classification and Regression. ASAP Yang Yue, Ying Li, Kexin Yi, Zhonghai Wu
2018	J	`jnl`	Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach. IEEE Trans. Multim. Qiang Fu, Yong Luo, Yonggang Wen, Dacheng Tao, Ying Li, Ling-Yu Duan
2018	A	`conf`	Transparently Capturing Execution Path of Service/Job Request Processing. ICSOC Yong Yang, Long Wang, Jing Gu, Ying Li
2017	A	`conf`	An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services. ICWS Tong Jia, Pengfei Chen, Lin Yang, Ying Li, Fanjing Meng, Jingmin Xu
2017	—	`conf`	An Iterative Model for Predicting Film Attendance. ICONIP (1) Yang Yue, Ying Li, Tong Jia, Zhonghai Wu
2017	B	`conf`	LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs. CLOUD Tong Jia, Lin Yang, Pengfei Chen, Ying Li, Fanjing Meng, Jingmin Xu
2017	—	`conf`	Low Frequency Words Compression in Neural Conversation System. ICONIP (2) Sixing Wu, Ying Li, Zhonghai Wu
2017	—	`conf`	Predicting Misconfiguration-Induced Unsuccessful Executions of Jobs in Big Data System. COMPSAC (1) Hongyan Tang, Ying Li, Long Wang, Jing Gu, Zhonghai Wu
2017	J	`jnl`	基于时间序列分析的杀手级任务在线识别方法 (Time Series Based Killer Task Online Recognition Approach). 计算机科学 Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan
2016	—	`conf`	An Approach for Cross-Community Content Recommendation: A Case Study on Docker. APWeb (2) Yong Yang, Ying Li, Hongyan Tang, Tong Jia, Wenlong Shao
2016	B	`conf`	An Approach to Pinpointing Bug-Induced Failure in Logs of Open Cloud Platforms. CLOUD Tong Jia, Ying Li, Hongyan Tang, Zhonghai Wu
2016	C	`conf`	CUT: A Combined Approach for Tag Recommendation in Software Information Sites. KSEM Yong Yang, Ying Li, Yang Yue, Zhonghai Wu, Wenlong Shao
2016	—	`conf`	Can We Use Programmer's Knowledge? Fixing Parameter Configuration Errors in Hadoop through Analyzing Q&A Sites. BigData Congress Tong Jia, Ying Li, Hongyan Tang, Zhonghai Wu
2016	—	`conf`	Evaluating Performance of Rescheduling Strategies in Cloud System. Trustcom/BigDataSE/ISPA Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu
2016	—	`conf`	Hunting Killer Tasks for Cloud System through Behavior Pattern Learning. DSN Workshops Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu
2016	C	`conf`	Hunting Killer Tasks for Cloud System through Machine Learning: A Google Cluster Case Study. QRS Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu
2016	B	`conf`	SLA-DO: A SLA-Based Data Distribution Strategy on Multiple Cloud Storage Systems. ICPADS Chang Guo, Ying Li, Zhonghai Wu
2016	—	`conf`	Time Series Based Killer Task Online Recognition Service: A Google Cluster Case Study. SOSE Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan, Zhonghai Wu
2015	B	`conf`	A Competitive Penalty Model for Availability Based Cloud SLA. CLOUD Xiaoyong Yuan, Hongyan Tang, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu
2015	B	`conf`	An Analysis on Availability Commitment and Penalty in Cloud SLA. COMPSAC Xiaoyong Yuan, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu
2015	—	`conf`	Characterizing and Predicting Bug Assignment in OpenStack. TSA Tong Jia, Ying Li, Xiaoyong Yuan, Hongyan Tang, Zhonghai Wu
2014	C	`conf`	Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection. CloudCom Xiaoyong Yuan, Ying Li, Zhonghai Wu, Tiancheng Liu
2014	C	`conf`	Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan. NPC Xiaoyong Yuan, Ying Li, Yanqi Wang, Kewei Sun
2013	—	`conf`	Effort Estimation in Cloud Migration Process. SOSE Kewei Sun, Ying Li
2013	J	`jnl`	Model-based system configuration approach for Internetware. Sci. China Inf. Sci. Ying Li, Kewei Sun, Jie Yang, Tiancheng Liu, Liangzhao Zeng
2011	—	`conf`	Multi Cloud Management for unified cloud services across cloud sites. CCIS Tiancheng Liu, Yasuharu Katsuno, Kewei Sun, Ying Li, Takayuki Kushida, Ying Chen, Mayumi Itakura
2010	—	`conf`	A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files. IEEE SCC Bo Dong, Jie Qiu, Qinghua Zheng, Xiao Zhong, Jingwei Li, Ying Li
2010	A*	`conf`	Brief announcement: network traffic can optimize consolidation during transformation to virtualization. PODC Kewei Sun, Ying Li, Jing Luo
2010	C	`conf`	Correlation Based File Prefetching Approach for Hadoop. CloudCom Bo Dong, Xiao Zhong, Qinghua Zheng, Lirong Jian, Jian Liu, Jie Qiu, Ying Li
2010	A	`conf`	Mashing-Up Rich User Interfaces for Human-Interaction in WS-BPEL. ICWS Qi Zhao, Xuanzhe Liu, Dawei Sun, Tiancheng Liu, Ying Li, Gang Huang
2009	—	`conf`	A Profile-Based Approach to Just-in-Time Scalability for Cloud Applications. IEEE CLOUD Jie Yang, Jie Qiu, Ying Li
2009	—	`conf`	A collaborative management as a service framework for managing Internetware systems. Internetware Tiancheng Liu, Ying Li, Xinhui Li
2009	J	`jnl`	A methodology for analyzing availability weak points in SOA deployment frameworks. IEEE Trans. Netw. Serv. Manag. Jing Luo, Ying Li, John A. Pershing, Lei Xie, Ying Chen
2009	—	`conf`	Hadoop high availability through metadata replication. CloudDB@CIKM Feng Wang, Jie Qiu, Jie Yang, Bo Dong, Xin Hui Li, Ying Li
2009	—	`conf`	The Method and Tool of Cost Analysis for Cloud Computing. IEEE CLOUD Xin Hui Li, Ying Li, Tiancheng Liu, Jie Qiu, Fengchun Wang
2008	A	`conf`	A Semantic QoS-Aware Discovery Framework for Web Services. ICWS Qian Ma, Hao Wang, Ying Li, Guotong Xie, Feng Liu
2008	B	`conf`	A state machine approach for problem detection in large-scale distributed system. NOMS Kewei Sun, Jie Qiu, Ying Li, Ying Chen, Weixing Ji
2008	—	`conf`	An On-the-Fly Approach to Web-Based Service Composition. SERVICES II Qi Zhao, Gang Huang, Jiyu Huang, Xuanzhe Liu, Hong Mei, Ying Li, Ying Chen
2008	A	`conf`	Anchor Semantics Enabled Ranking Method for Service Discovery and Integration. ICWS Jing Luo, Ying Li
2008	B	`conf`	Automatic model-based service hosting environment migration. NOMS Liang Liu, Ying Li, Qian Ma, Kewei Sun, Ying Chen, Hao Wang
2008	B	`conf`	Availability "weak point" analysis over an SOA deployment framework. NOMS Lei Xie, Jing Luo, Jie Qiu, John A. Pershing, Ying Li, Ying Chen
2008	A	`conf`	Declarative Constraint Framework for SOA Deployment and Configuration. ICWS Jing Luo, Ying Li, Jie Qiu, Ying Chen
2008	J	`jnl`	Partition-based heap memory management in an application server. ACM SIGOPS Oper. Syst. Rev. Tiancheng Liu, Ying Li, Andrew Schofield, Matt Hogstrom, Kewei Sun, Ying Chen
2008	A	`conf`	SPIN: Service Performance Isolation Infrastructure in Multi-tenancy Environment. ICSOC Xin Hui Li, Tiancheng Liu, Ying Li, Ying Chen
2007	—	`conf`	Model-Based Dependency Management for Migrating Service Hosting Environment. IEEE SCC Qian Ma, Ying Li, Kewei Sun, Liang Liu
2007	—	`conf`	Pattern based Declarative Constraint Solution for Model-Driven Service Deployment. IEEE SCC Jing Luo, Ying Li, Jie Qiu
2006	A	`conf`	Analyzing XML Parser Memory Characteristics: Experiments towards ImprovingWeb Services Performance. ICWS Gang Wang, Cheng Xu, Ying Li, Ying Chen
2006	—	`conf`	Modeling and Verifying Configuration in Service Deployment. IEEE SCC Ying Li, Jie Qiu, Kewei Sun, Ying Chen
2006	—	`conf`	Sizing multi-space in heap for application isolation. OOPSLA Companion Kewei Sun, Ying Li, Matt Hogstrom, Ying Chen
2005	A*	`conf`	Detecting dominant locations from search queries. SIGIR Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yansheng Lu, Wei-Ying Ma, Ying Li
2005	A	`conf`	Self-Reconfiguration of Service-Based Systems: A Case Study for Service Level Agreements and Resource Optimization. ICWS Ying Li, Kewei Sun, Jie Qiu, Ying Chen
2004	J	`jnl`	LORE: An infrastructure to support location-aware services. IBM J. Res. Dev. Ying Chen, Xiaoyan Chen, Fangyan Rao, Xiulan Yu, Ying Li, Dong Liu
2004	A	`conf`	Services Ecosystem: Towards a Resilient Infrastructure for On Demand Services Provisioning in Grid. ICWS Ying Li, Fangyan Rao, Ying Chen, Dong Liu, Thomas Li
2004	A	`conf`	WSCE: A Flexible Web Service Composition Environment. ICWS Xiulan Yu, Long Zhang, Ying Li, Ying Chen
2003	B	`conf`	An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy. DaWaK Long Zhang, Ying Li, Fangyan Rao, Xiulan Yu, Ying Chen, Dong Liu
2003	C	`conf`	Spatial hierarchy and OLAP-favored search in spatial data warehouse. DOLAP Fangyan Rao, Long Zhang, Xiulan Yu, Ying Li, Ying Chen
2003	C	`conf`	The Approach for Data Warehouse to Answering Spatial OLAP Queries. IDEAL Ying Li, Ying Chen, Fangyan Rao
2003	A	`conf`	The Framework Supporting QoS-Enabled Web Services. ICWS Ying Li, Xiaochen Ding, Ying Chen, Dong Liu, Thomas Li