Kejiang Ye - RankMe

224 papers A* 4A 12B 41C 15Misc 1Journal 97Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure. Softw. Pract. Exp. Yiyuan He, Minxian Xu, Jingfeng Wu, Jianmin Hu, Chong Ma, Min Shen, Le Chen, Cheng-Zhong Xu, Lin Qu, Kejiang Ye
2026	J	`jnl`	BrownoutServe: SLO-Aware Inference Serving Under Bursty Workloads for MoE-Based LLMs. IEEE Trans. Computers Jianmin Hu, Minxian Xu, Kejiang Ye, Chengzhong Xu
2026	J	`jnl`	C-Koordinator: Interference-Aware Management for Large-Scale and Co-Located Microservice Clusters. Softw. Pract. Exp. Shengye Song, Minxian Xu, Zuowei Zhang, Chengxi Gao, Fansong Zeng, Yu Ding, Kejiang Ye, Cheng-Zhong Xu
2026	J	`jnl`	Communication Efficient Robotic Mixed Reality With Gaussian Splatting Cross-Layer Optimization. IEEE Trans. Cogn. Commun. Netw. Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2026	J	`jnl`	DOPD: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving. IEEE Trans. Serv. Comput. Junhan Liao, Minxian Xu, Wanyi Zheng, Yan Wang, Kejiang Ye, Rajkumar Buyya, Chengzhong Xu
2026	J	`jnl`	DragonKing: A Scalable and High-Throughput Rate Limiter by Enabling WF IEEE Trans. Netw. Gonglong Chen, Kejiang Ye, Kai Chen, Cheng-Zhong Xu
2026	—	`ed.`	Edge Computing - EDGE 2025 - 9th International Conference, Held as Part of the Services Conference Federation, SCF 2025, Hong Kong, China, September 27-30, 2025, Proceedings EDGE Kejiang Ye, Liang-Jie Zhang
2026	J	`jnl`	Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation. ACM Trans. Knowl. Discov. Data Tianrui Qin, Xuan Wang, Xianghuan He, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu, Xitong Gao
2026	A	`conf`	FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters. EuroSys Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
2026	A	`conf`	High Throughput and Low Latency LLM Serving via Adaptive KV Caching. EuroSys Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu
2025	J	`jnl`	A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing. IEEE Trans. Mob. Comput. Xinliang Wei, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu, Yu Wang
2025	J	`jnl`	An Online Map Matching Algorithm for Path-Free Trajectories by Integrating Path-Constrained Trajectories. IEEE Trans. Intell. Transp. Syst. Kaijie Li, Juanjuan Zhao, Yuchen Song, Xiaoying Liu, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	Auto-scaling Approaches for Cloud-native Applications: A Survey and Taxonomy. CoRR Minxian Xu, Linfeng Wen, Junhan Liao, Huaming Wu, Kejiang Ye, Chengzhong Xu
2025	J	`jnl`	BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure. CoRR Yiyuan He, Minxian Xu, Jingfeng Wu, Jianmin Hu, Chong Ma, Min Shen, Le Chen, Cheng-Zhong Xu, Lin Qu, Kejiang Ye
2025	A*	`conf`	BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection. ACM Multimedia An Xiang, Zixuan Huang, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection. CoRR An Xiang, Zixuan Huang, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	BrownoutServe: SLO-Aware Inference Serving under Bursty Workloads for MoE-based LLMs. CoRR Jianmin Hu, Minxian Xu, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving. CoRR Wanyi Zheng, Minxian Xu, Shengye Song, Kejiang Ye
2025	J	`jnl`	C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters. CoRR Shengye Song, Minxian Xu, Zuowei Zhang, Chengxi Gao, Fansong Zeng, Yu Ding, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	Cloud Native System for LLM Inference Serving. CoRR Minxian Xu, Junhan Liao, Jingfeng Wu, Yiyuan He, Kejiang Ye, Chengzhong Xu
2025	J	`jnl`	Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud-Native Applications. Softw. Pract. Exp. Jingfeng Wu, Minxian Xu, Yiyuan He, Kejiang Ye, Chengzhong Xu
2025	Misc	`conf`	Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection. ICASSP Zhixuan Xie, Jianjun Chen, Guoliang Li, Shuai Wang, Kejiang Ye, Yonina C. Eldar, Chengzhong Xu
2025	J	`jnl`	Communication Efficient Robotic Mixed Reality with Gaussian Splatting Cross-Layer Optimization. CoRR Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	—	`conf`	DMoE: A Semantic-Aware Engine with Mixture of Experts for Detecting Zero-Day Malware. ICIOT Chenming Yang, Kejiang Ye
2025	J	`jnl`	DOPO: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving. CoRR Junhan Liao, Minxian Xu, Wanyi Zheng, Yan Wang, Kejiang Ye, Rajkumar Buyya, Cheng-Zhong Xu
2025	J	`jnl`	Edge AI: A Taxonomy, Systematic Review and Future Directions. Clust. Comput. Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu, Minxian Xu, Junhui Du, Huaming Wu, Guneet Kaur Walia, Subramaniam Subramanian Murugesan, Babar Ali, Mohit Kumar, Kejiang Ye, Prabal Verma, Surendra Kumar, Félix Cuadrado, Steve Uhlig
2025	J	`jnl`	Edge Collaborative Gaussian Splatting with Integrated Rendering and Communication. CoRR Yujie Wan, Chenxuan Liu, Shuai Wang, Tong Zhang, James Jianqiao Yu, Kejiang Ye, Dusit Niyato, Cheng-Zhong Xu
2025	J	`jnl`	FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters. CoRR Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
2025	—	`conf`	Green Robotic Mixed Reality with Gaussian Splatting. INFOCOM WKSHPS Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	J	`jnl`	Green Robotic Mixed Reality with Gaussian Splatting. CoRR Chenxuan Liu, He Li, Zongze Li, Shuai Wang, Wei Xu, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	—	`conf`	IAE-LoRa: Interference-Aware and Energy-Efficient LoRa Optimization Using Reinforcement Learning. ICIC (15) Hongyu Tian, Kaitong Zheng, Yanying Lin, Changhao Yuan, Kejiang Ye
2025	B	`conf`	Incremental Tucker Decomposition for Scalable and Efficient Multilingual Speech Recognition. IJCNN Guanghui Song, Ye Hong, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2025	B	`conf`	JADE: Jailbreak-Aware Dynamic Defense Enhancer for LLMs Via Reinforcement Learning. IEEE Big Data Laizhen Li, Peicheng Zhao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2025	J	`jnl`	Joint Beamforming Design for RIS-Empowered NOMA-ISAC Systems. CoRR Chunjie Wang, Xuhui Zhang, Jinke Ren, Wenchao Liu, Shuqiang Wang, Yanyan Shen, Kejiang Ye, Chengzhong Xu, Dusit Niyato
2025	J	`jnl`	LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent. Softw. Pract. Exp. Kan Hu, Minxian Xu, Kejiang Ye, Cheng-Zhong Xu
2025	A*	`conf`	Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. EMNLP Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao
2025	J	`jnl`	Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. CoRR Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao
2025	A	`conf`	Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters. EuroSys Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu
2025	—	`conf`	Offline Map Matching Based on Localization Error Distribution Modeling. PAKDD (6) Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao
2025	J	`jnl`	Offline Map Matching Based on Localization Error Distribution Modeling. CoRR Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao
2025	B	`conf`	On the Adversarial Robustness of Visual-Language Chat Models. ICMR Tianrui Qin, Xuan Wang, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu, Xitong Gao
2025	J	`jnl`	RSMA-Enhanced Data Collection in RIS-Assisted Intelligent Consumer Transportation Systems. CoRR Chunjie Wang, Xuhui Zhang, Wenchao Liu, Jinke Ren, Shuqiang Wang, Yanyan Shen, Kejiang Ye, Kim Fung Tsang
2025	J	`jnl`	Robotic Sensor Network: Achieving Mutual Communication Control Assistance With Fast Cross-Layer Optimization. IEEE Wirel. Commun. Lett. Zhiyou Ji, Yujie Wan, Guoliang Li, Shuai Wang, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu
2025	C	`conf`	Rock: Serving Multimodal Models in Cloud with Heterogeneous-Aware Resource Orchestration for Thousands of LoRA Adapters. CLUSTER Shuaipeng Wu, Yanying Lin, Shijie Peng, Wenyan Chen, Chong Ma, Min Shen, Le Chen, Chengzhong Xu, Kejiang Ye
2025	J	`jnl`	SCC: Synchronization Congestion Control for Multi-Tenant Learning Over Geo-Distributed Clouds. IEEE Trans. Computers Chengxi Gao, Fuliang Li, Kejiang Ye, Yang Wang, Pengfei Wang, Xingwei Wang, Cheng-Zhong Xu
2025	—	`conf`	SDF-Guided Multi-modal Big Data Road Extraction. PAKDD (7) Kun Feng, Juanjuan Zhao, Kejiang Ye, Xitong Gao
2025	C	`conf`	Scalable and Fast Inference Serving via Hybrid Communication Scheduling on Heterogeneous Networks. CLUSTER Gonglong Chen, Jiamei Lv, Kejiang Ye, Tao Gu, Cheng-Zhong Xu
2025	B	`conf`	SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System. ICCCN Haojie Jia, Zhenhao Li, Gen Li, Minxian Xu, Kejiang Ye
2025	J	`jnl`	SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System. CoRR Haojie Jia, Zhenhao Li, Gen Li, Minxian Xu, Kejiang Ye
2025	J	`jnl`	Serving LLM in Distributed GPU Cluster With Fine-Grain Pipeline Constraints. IEEE Trans. Serv. Comput. Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. ACM Trans. Auton. Adapt. Syst. Linfeng Wen, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, Chengzhong Xu
2025	J	`jnl`	Strategic Evolutionary Reinforcement Learning With Operator Selection and Experience Filter. IEEE Trans. Neural Networks Learn. Syst. Kaitong Zheng, Ya-Hui Jia, Kejiang Ye, Wei-Neng Chen
2025	J	`jnl`	TD3-Sched: Learning to Orchestrate Container-based Cloud-Edge Resources via Distributed Reinforcement Learning. CoRR Shengye Song, Minxian Xu, Kan Hu, Wenxia Guo, Kejiang Ye
2025	—	`conf`	Understanding Diffusion Model Serving in Production: A Top-Down Analysis of Workload, Scheduling, and Resource Efficiency. SoCC Yanying Lin, Shuaipeng Wu, Shutian Luo, Hong Xu, Haiying Shen, Chong Ma, Min Shen, Le Chen, Chengzhong Xu, Lin Qu, Kejiang Ye
2025	J	`jnl`	Understanding Serverless Inference in Mobile-Edge Networks: A Benchmark Approach. IEEE Trans. Cloud Comput. Junhong Chen, Yanying Lin, Shijie Peng, Shuaipeng Wu, Kenneth B. Kent, Hao Dai, Kejiang Ye, Yang Wang
2025	J	`jnl`	Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling. CoRR Jingfeng Wu, Yiyuan He, Minxian Xu, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
2025	J	`jnl`	Urban Transport Mode Split Prediction: A Hybrid Deep Learning Framework Considering Spatiotemporal Dependency. IEEE Trans. Intell. Transp. Syst. Juanjuan Zhao, Hao Yan, Li Sun, Furong Zheng, Xitong Gao, Fan Zhang, Kejiang Ye, Cheng-Zhong Xu
2024	B	`conf`	A Multi-Stage Spike Stream Processing and Image Reconstruction Method for Industrial Applications. TrustCom Shuaipeng Wu, Changhao Yuan, Kejiang Ye
2024	J	`jnl`	APBench: A Unified Availability Poisoning Attack and Defenses Benchmark. Trans. Mach. Learn. Res. Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2024	J	`jnl`	An Interference-aware Approach for Co-located Container Orchestration with Novel Metric. CoRR Xiang Li, Linfeng Wen, Minxian Xu, Kejiang Ye
2024	J	`jnl`	CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications. CoRR Jingfeng Wu, Minxian Xu, Yiyuan He, Kejiang Ye, Chengzhong Xu
2024	J	`jnl`	Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection. CoRR Zhixuan Xie, Jianjun Chen, Guoliang Li, Shuai Wang, Kejiang Ye, Yonina C. Eldar, Chengzhong Xu
2024	J	`jnl`	Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales. CoRR Lujie Tang, Minxian Xu, Cheng-Zhong Xu, Kejiang Ye
2024	J	`jnl`	DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters. IEEE Trans. Serv. Comput. Haoyu Bai, Minxian Xu, Kejiang Ye, Rajkumar Buyya, Chengzhong Xu
2024	J	`jnl`	DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters. CoRR Haoyu Bai, Minxian Xu, Kejiang Ye, Rajkumar Buyya, Cheng-Zhong Xu
2024	A*	`conf`	Derm: SLA-aware Resource Management for Highly Dynamic Microservices. ISCA Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu
2024	C	`conf`	EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless. CSCWD Shijie Peng, Yanying Lin, Wenyan Chen, Yingfei Tang, Xu Duan, Kejiang Ye
2024	J	`jnl`	Edge AI: A Taxonomy, Systematic Review and Future Directions. CoRR Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu, Minxian Xu, Junhui Du, Huaming Wu, Guneet Kaur Walia, Subramaniam Subramanian Murugesan, Babar Ali, Mohit Kumar, Kejiang Ye, Prabal Verma, Surendra Kumar, Félix Cuadrado, Steve Uhlig
2024	J	`jnl`	Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing. IEEE Trans. Serv. Comput. Shuhui Chu, Chengxi Gao, Minxian Xu, Kejiang Ye, Zhu Xiao, Cheng-Zhong Xu
2024	—	`conf`	Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. PAKDD (5) Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye
2024	—	`conf`	FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data. PAKDD (5) Li Sun, Juanjuan Zhao, Fan Zhang, Rui Zhang, Kejiang Ye
2024	—	`conf`	GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks. ICPR (6) Kaijie Li, Juanjuan Zhao, Li Yan, Xitong Gao, Ye Li, Kejiang Ye
2024	—	`conf`	GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System. PAKDD (5) Li Sun, Juanjuan Zhao, Fan Zhang, Kejiang Ye
2024	—	`conf`	Improving Multilingual Speech Recognition with Tucker-Compressed Mixture of LoRAs. ICONIP (3) Ye Hong, Guanghui Song, Xitong Gao, Tianhui Meng, Juanjuan Zhao, Kejiang Ye
2024	J	`jnl`	Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds. IEEE Trans. Parallel Distributed Syst. Xinliang Wei, Kejiang Ye, Xinghua Shi, Cheng-Zhong Xu, Yu Wang
2024	J	`jnl`	LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent. CoRR Kan Hu, Minxian Xu, Kejiang Ye, Cheng-Zhong Xu
2024	A	`conf`	MLPing: Real-Time Proactive Fault Detection and Alarm for Large-Scale Distributed IDC Network. ICDCS Xian Yu, Kejiang Ye, Dongbiao He, Xianfan Chen, Chengzhong Xu, Jianhui Li, Gaogang Xie
2024	J	`jnl`	MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication. CoRR Zhiyou Ji, Guoliang Li, Ruihua Han, Shuai Wang, Bing Bai, Wei Xu, Kejiang Ye, Chengzhong Xu
2024	—	`conf`	MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. PAKDD (5) Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang
2024	C	`conf`	MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. ISPA Kan Hu, Linfeng Wen, Minxian Xu, Kejiang Ye
2024	J	`jnl`	MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. CoRR Kan Hu, Linfeng Wen, Minxian Xu, Kejiang Ye
2024	—	`conf`	Node Pressure Prediction by Aggregating Long-Range Information. ICIOT Pinghua Xu, Wenhang Yu, Xu Zhou, Xiaofan Chen, Kejiang Ye
2024	J	`jnl`	Optimizing Resource Management for Shared Microservices: A Scalable System Design. ACM Trans. Comput. Syst. Shutian Luo, Chenyu Lin, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Huanle Xu, Cheng-Zhong Xu
2024	A	`conf`	Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint. ICWS Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
2024	A	`conf`	QUART: Latency-Aware FaaS System for Pipelining Large Model Inference. ICDCS Yanying Lin, Yanbo Li, Shijie Peng, Yingfei Tang, Shutian Luo, Haiying Shen, Cheng-Zhong Xu, Kejiang Ye
2024	B	`conf`	RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data. IEEE Big Data Xiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye
2024	—	`conf`	Resource Management for GPT-Based Model Deployed on Clouds: Challenges, Solutions, and Future Directions. ICA3PP (2) Yongkang Dang, Yiyuan He, Minxian Xu, Kejiang Ye
2024	A	`conf`	SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. SC Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu
2024	J	`jnl`	StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. CoRR Linfeng Wen, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, Chengzhong Xu
2024	—	`conf`	Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. ICONIP (2) Xiangyu Pang, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2024	B	`conf`	TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. CLOUD Linfeng Wen, Minxian Xu, Adel Nadjaran Toosi, Kejiang Ye
2024	J	`jnl`	TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. CoRR Linfeng Wen, Minxian Xu, Adel Nadjaran Toosi, Kejiang Ye
2024	—	`conf`	Tree Decomposition based Top-k Shortest Distance Query on Large-scale Road Networks. CBD Ye Li, Jun Zhang, Zongze Li, Jing Sun, Fan Zhang, Kejiang Ye
2024	J	`jnl`	UELLM: A Unified and Efficient Approach for LLM Inference Serving. CoRR Yiyuan He, Minxian Xu, Jingfeng Wu, Wanyi Zheng, Kejiang Ye, Cheng-Zhong Xu
2024	—	`conf`	UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving. ICSOC (1) Yiyuan He, Minxian Xu, Jingfeng Wu, Wanyi Zheng, Kejiang Ye, Cheng-Zhong Xu
2023	J	`jnl`	A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification. IEEE/ACM Trans. Netw. Peng Lin, Kejiang Ye, Yishen Hu, Yanying Lin, Cheng-Zhong Xu
2023	A	`conf`	A Semi-supervised Learning Based Method for Identifying Idle Virtual Machines in Managed Cloud: Application and Practice. ICWS Xian Yu, Kejiang Ye, Zihong Chen, Jia Yi, Xiaofan Chen, Bozhong Liu, Cheng-Zhong Xu
2023	B	`conf`	A Survey on Cross-Domain Few-Shot Image Classification. BigData Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2023	J	`jnl`	APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses. CoRR Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2023	A*	`conf`	AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. ICCV Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2023	—	`conf`	An Interference-aware Approach for Co-located Container Orchestration with Novel Metric. iThings/GreenCom/CPSCom/SmartData/Cybermatics Xiang Li, Linfeng Wen, Minxian Xu, Kejiang Ye
2023	—	`conf`	CEESys: A Cloud-Edge-End System for Data Acquisition, Transmission and Processing Based on HiSilicon and OpenHarmony. METAVERSE Hongyu Tian, Kejiang Ye
2023	—	`conf`	ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster. ICSOC (1) Chenghao Song, Minxian Xu, Kejiang Ye, Huaming Wu, Sukhpal Singh Gill, Rajkumar Buyya, Cheng-Zhong Xu
2023	J	`jnl`	ChainsFormer: A Chain Latency-aware Resource Provisioning Approach for Microservices Cluster. CoRR Chenghao Song, Minxian Xu, Kejiang Ye, Huaming Wu, Sukhpal Singh Gill, Rajkumar Buyya, Chengzhong Xu
2023	B	`conf`	Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. ICTAI Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2023	A	`conf`	Detecting Vulnerabilities in Linux-Based Embedded Firmware with SSE-Based On-Demand Alias Analysis. ISSTA Kai Cheng, Yaowen Zheng, Tao Liu, Le Guan, Peng Liu, Hong Li, Hongsong Zhu, Kejiang Ye, Limin Sun
2023	—	`conf`	DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant. ICIOT Hongyu Tian, Yuan Wang, Kejiang Ye
2023	J	`jnl`	Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty. IEEE Trans. Veh. Technol. Zongze Li, Shuai Wang, Shiyao Zhang, Miaowen Wen, Kejiang Ye, Yik-Chung Wu, Derrick Wing Kwan Ng
2023	—	`conf`	Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees. ASPLOS (1) Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu
2023	B	`conf`	FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge. ICPADS Yanbo Li, Yanying Lin, Shijie Peng, Yingfei Tang, Tian Xiang, Wei Song, Kejiang Ye
2023	—	`conf`	FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. ICANN (1) Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2023	J	`jnl`	Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks. IEEE Trans. Cloud Comput. Chengxi Gao, Shuhui Chu, Hong Xu, Minxian Xu, Kejiang Ye, Chengzhong Xu
2023	J	`jnl`	Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. CoRR Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu
2023	J	`jnl`	Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. IEEE Internet Things J. Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
2023	A	`conf`	Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. SC Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu
2023	—	`ed.`	Internet of Things - ICIOT 2023: 8th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Shenzhen, China, December 17-18, 2023, Proceedings ICIOT Kejiang Ye, Liang-Jie Zhang
2023	J	`jnl`	Joint Semantic Transfer Network for IoT Intrusion Detection. IEEE Internet Things J. Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Cheng-Zhong Xu
2023	J	`jnl`	Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks. CoRR Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2023	J	`jnl`	Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
2023	J	`jnl`	Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster. CoRR Minxian Xu, Lei Yang, Yang Wang, Chengxi Gao, Linfeng Wen, Guoyao Xu, Liping Zhang, Kejiang Ye, Chengzhong Xu
2023	J	`jnl`	Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions. CoRR Yongkang Dang, Minxian Xu, Kejiang Ye
2023	J	`jnl`	Serverless Computing: State-of-the-Art, Challenges and Opportunities. IEEE Trans. Serv. Comput. Yongkang Li, Yanying Lin, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
2023	A	`conf`	Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. EuroSys Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu
2023	—	`conf`	YOLO-IMF: An Improved YOLOv8 Algorithm for Surface Defect Detection in Industrial Manufacturing Field. METAVERSE Ziqiang Liu, Kejiang Ye
2022	J	`jnl`	An In-Depth Study of Microservice Call Graph and Runtime Performance. IEEE Trans. Parallel Distributed Syst. Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu
2022	B	`ed.`	Cloud Computing - CLOUD 2021 - 14th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings CLOUD Kejiang Ye, Liang-Jie Zhang
2022	B	`ed.`	Cloud Computing - CLOUD 2022 - 15th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings CLOUD Kejiang Ye, Liang-Jie Zhang
2022	J	`jnl`	CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. Minxian Xu, Chenghao Song, Shashikant Ilager, Sukhpal Singh Gill, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2022	—	`conf`	DT-EEC: A Digital Twin-assisted End-Edge-Cloud Collaboration Architecture for Industrial Internet. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Lujie Tang, Kejiang Ye
2022	J	`jnl`	Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions. IEEE Trans. Computers Yang Wang, Min Li, Hao Dai, Kenneth B. Kent, Kejiang Ye, Chengzhong Xu
2022	—	`conf`	ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless. HPCC/DSS/SmartCity/DependSys Yanying Lin, Junhong Chen, Yang Wang, Kejiang Ye
2022	J	`jnl`	Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty. CoRR Zongze Li, Shuai Wang, Shiyao Zhang, Miaowen Wen, Kejiang Ye, Yik-Chung Wu, Derrick Wing Kwan Ng
2022	J	`jnl`	EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment. CoRR Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. CoRR Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu
2022	J	`jnl`	GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Trans. Intell. Transp. Syst. Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu
2022	B	`conf`	Graph Structure Neural Differential Equations on Spatio-temporal Prediction. IEEE Big Data Hangtao He, Kejiang Ye
2022	B	`conf`	GraphGRU: A Graph Neural Network Model for Resource Prediction in Microservice Cluster. ICPADS Hangtao He, Linyu Su, Kejiang Ye
2022	J	`jnl`	How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. IEEE Trans. Intell. Transp. Syst. Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2022	B	`conf`	Improving Few-Shot Image Classification with Self-supervised Learning. CLOUD Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye
2022	J	`jnl`	Joint Semantic Transfer Network for IoT Intrusion Detection. CoRR Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. CoRR Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo
2022	J	`jnl`	Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. IEEE Wirel. Commun. Lett. Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo
2022	J	`jnl`	Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization. IEEE Trans. Cloud Comput. Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu
2022	B	`conf`	Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM. CLOUD Xianghuan He, Xitong Gao, Juanjuan Zhao, Chengxi Gao, Kejiang Ye
2022	J	`jnl`	PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. Softw. Pract. Exp. Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu
2022	—	`conf`	System-level Implications of Serverless: Workload Characterizing and Performance Understanding. ISPA/BDCloud/SocialCom/SustainCom Deshi Deng, Yanying Lin, Kejiang Ye
2022	—	`conf`	The power of prediction: microservice auto scaling via workload learning. SoCC Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu
2022	J	`jnl`	The strong substructure and feature attention mechanism for image semantic segmentation. Concurr. Comput. Pract. Exp. Yuhang Zhang, Hongshuai Ren, Wensi Yang, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
2022	J	`jnl`	Toward fast theta-join: A prefiltering and amalgamated partitioning approach. Concurr. Comput. Pract. Exp. Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Cheng-Zhong Xu
2022	J	`jnl`	Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach. CoRR Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu
2022	J	`jnl`	esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments. ACM Trans. Internet Techn. Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu
2021	B	`conf`	An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform. CLOUD Yonghe Zhang, Kejiang Ye, Cheng-Zhong Xu
2021	B	`conf`	BBServerless: A Bursty Traffic Benchmark for Serverless. CLOUD Yanying Lin, Kejiang Ye, Yongkang Li, Peng Lin, Yingfei Tang, Cheng-Zhong Xu
2021	—	`conf`	Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis. SoCC Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu
2021	B	`conf`	Electronic Card Localization Algorithm Based on Visible Light Screen Communication. CLOUD Kao Wen, Junjian Huang, Chan Zhou, Kejiang Ye
2021	J	`jnl`	Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. CoRR Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2021	J	`jnl`	Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. CoRR Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2021	—	`conf`	Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network. IEEE BigData Hangtao He, Kejiang Ye, Cheng-Zhong Xu
2021	J	`jnl`	PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing. CoRR Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu
2021	—	`conf`	PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification. HPCC/DSS/SmartCity/DependSys Peng Lin, Yishen Hu, Yanying Lin, Kejiang Ye, Cheng-Zhong Xu
2021	B	`conf`	Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V. CLOUD Yu Liu, Kejiang Ye, Cheng-Zhong Xu
2021	C	`conf`	RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning. CLUSTER Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu
2021	—	`conf`	xBCBench: A Benchmarking Tool for Analyzing the Performance of Blockchain Systems. BlockSys Rui Wang, Kejiang Ye, Yang Wang, Cheng-Zhong Xu
2020	B	`conf`	A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. BigData Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye
2020	B	`conf`	A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder. CLOUD Shujian Ji, Kejiang Ye, Cheng-Zhong Xu
2020	B	`conf`	AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
2020	J	`jnl`	Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Trans. Computers Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu
2020	J	`jnl`	Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation. Int. J. Parallel Program. Wensi Yang, Qingfeng Yao, Kejiang Ye, Cheng-Zhong Xu
2020	J	`jnl`	How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	—	`conf`	HySync: Hybrid Federated Learning with Effective Synchronization. HPCC/DSS/SmartCity Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu
2020	J	`jnl`	Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. J. Comput. Sci. Technol. Wen-Yan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu
2020	B	`conf`	LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network. ICPADS Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu
2020	B	`conf`	MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction. ICPR Jingjie Guo, Kelang Tian, Kejiang Ye, Cheng-Zhong Xu
2020	B	`conf`	Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	B	`conf`	Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	J	`jnl`	Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020	B	`conf`	PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs. CLOUD Yongzhong Sun, Kejiang Ye, Cheng-Zhong Xu
2020	—	`conf`	Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos. SCC Rui Wang, Kejiang Ye, Tianhui Meng, Cheng-Zhong Xu
2020	B	`conf`	ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting. ICTAI Kelang Tian, Jingjie Guo, Kejiang Ye, Cheng-Zhong Xu
2020	B	`ed.`	Services - SERVICES 2020 - 16th World Congress, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings SERVICES João Eduardo Ferreira, Balaji Palanisamy, Kejiang Ye, Siva Kantamneni, Liang-Jie Zhang
2020	J	`jnl`	Towards cost-effective service migration in mobile edge: A Q-learning approach. J. Parallel Distributed Comput. Yang Wang, Shan Cao, Hongshuai Ren, Jianjun Li, Kejiang Ye, Cheng-Zhong Xu, Xi Chen
2019	B	`conf`	ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds. ICPADS Chengzhi Lu, Kejiang Ye, Wenyan Chen, Cheng-Zhong Xu
2019	C	`conf`	BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment. NPC Yongzhong Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu
2019	B	`conf`	CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds. CLOUD Shujian Ji, Kejiang Ye, Cheng-Zhong Xu
2019	—	`conf`	Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis. HPCC/SmartCity/DSS Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu
2019	C	`conf`	DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection. NPC Shujian Ji, Tongzheng Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu
2019	B	`conf`	DCSA: Using Density-Based Clustering and Sequential Association Analysis to Predict Alarms in Telecommunication Networks. ICPADS Peng Lin, Kejiang Ye, Ming Chen, Cheng-Zhong Xu
2019	B	`conf`	Dynamic Network Anomaly Detection System by Using Deep Learning Techniques. CLOUD Peng Lin, Kejiang Ye, Cheng-Zhong Xu
2019	B	`conf`	FFD: A Federated Learning Based Method for Credit Card Fraud Detection. BigData Wensi Yang, Yuhang Zhang, Kejiang Ye, Li Li, Cheng-Zhong Xu
2019	B	`conf`	Live Migration of Virtual Machines in OpenStack: A Perspective from Reliability Evaluation. CLOUD Jin Hao, Kejiang Ye, Cheng-Zhong Xu
2019	—	`conf`	NetDetector: an Anomaly Detection Platform for Networked Systems. RCAR Peng Lin, Kejiang Ye, Cheng-Zhong Xu
2019	C	`conf`	Performance Benchmarking and Optimization for Blockchain Systems: A Survey. ICBC Rui Wang, Kejiang Ye, Cheng-Zhong Xu
2019	—	`conf`	The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior. AIMS Yuhang Zhang, Wensi Yang, Wanlin Sun, Kejiang Ye, Ming Chen, Cheng-Zhong Xu
2019	—	`conf`	Towards Cluster-wide Deduplication Based on Ceph. NAS Jinpeng Wang, Yang Wang, Hekang Wang, Kejiang Ye, Cheng-Zhong Xu, Shuibing He, Lingfang Zeng
2019	—	`conf`	Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center. HPCC/SmartCity/DSS Shilin Zhao, Kejiang Ye, Cheng-Zhong Xu
2018	C	`conf`	A Deep Learning Approach for Network Anomaly Detection Based on AMF-LSTM. NPC Mingyi Zhu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu
2018	B	`conf`	Fault Injection and Detection for Artificial Intelligence Applications in Container-Based Clouds. CLOUD Kejiang Ye, Yangyang Liu, Guoyao Xu, Cheng-Zhong Xu
2018	B	`conf`	How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace. ICPADS Wenyan Chen, Kejiang Ye, Yang Wang, Guoyao Xu, Cheng-Zhong Xu
2018	B	`conf`	Modeling Application Performance in Docker Containers Using Machine Learning Techniques. ICPADS Kejiang Ye, Yanmin Kou, Chengzhi Lu, Yang Wang, Cheng-Zhong Xu
2018	B	`conf`	Network Anomaly Detection and Identification Based on Deep Learning Methods. CLOUD Mingyi Zhu, Kejiang Ye, Cheng-Zhong Xu
2018	C	`conf`	Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud. CLUSTER Kejiang Ye, Cheng-Zhong Xu
2017	—	`conf`	Anomaly Detection in Clouds: Challenges and Practice. ETCD@ASPLOS Kejiang Ye
2017	—	`conf`	Imbalance in the cloud: An analysis on Alibaba cluster trace. IEEE BigData Chengzhi Lu, Kejiang Ye, Guoyao Xu, Cheng-Zhong Xu, Tongxin Bai
2017	—	`conf`	Performance Tuning and Modeling for Big Data Applications in Docker Containers. NAS Kejiang Ye, Yunjie Ji
2016	A	`conf`	Virtual Machine Level Temperature Profiling and Prediction in Cloud Datacenters. ICDCS Zhaohui Wu, Xiang Li, Peter Garraghan, Xiaohong Jiang, Kejiang Ye, Albert Y. Zomaya
2015	J	`jnl`	Profiling-Based Workload Consolidation and Migration in Virtualized Data Centers. IEEE Trans. Parallel Distributed Syst. Kejiang Ye, Zhaohui Wu, Chen Wang, Bing Bing Zhou, Weisheng Si, Xiaohong Jiang, Albert Y. Zomaya
2014	—	`conf`	Scalability Analysis and Improvement of Hadoop Virtual Cluster with Cost Consideration. IEEE CLOUD Yanzhang He, Xiaohong Jiang, Zhaohui Wu, Kejiang Ye, Zhongzhong Chen
2014	J	`jnl`	Virt-B: Towards Performance Benchmarking of Virtual Machine Systems. IEEE Internet Comput. Kejiang Ye, Zhaohui Wu, Bing Bing Zhou, Xiaohong Jiang, Chen Wang, Albert Y. Zomaya
2013	—	`conf`	DartCSim+: Enhanced CloudSim with the Power and Network Models Integrated. IEEE CLOUD Xiang Li, Xiaohong Jiang, Kejiang Ye, Peng Huang
2013	—	`conf`	HPACS: A High Privacy and Availability Cloud Storage Platform with Matrix Encryption. APPT Yanzhang He, Xiaohong Jiang, Kejiang Ye, Ran Ma, Xiang Li
2012	—	`conf`	DartCSim: An enhanced user-friendly cloud simulation system based on CloudSim with better performance. CCIS Xiang Li, Xiaohong Jiang, Peng Huang, Kejiang Ye
2012	—	`conf`	VC-Migration: Live Migration of Virtual Clusters in the Cloud. GRID Kejiang Ye, Xiaohong Jiang, Ran Ma, Fengxi Yan
2012	—	`conf`	vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration. CLUSTER Workshops Kejiang Ye, Xiaohong Jiang, Yanzhang He, Xiang Li, Haiming Yan, Peng Huang
2011	C	`conf`	An Energy-Efficient Scheme for Cloud Resource Provisioning Based on CloudSim. CLUSTER Yuxiang Shi, Xiaohong Jiang, Kejiang Ye
2011	C	`conf`	Informed Live Migration Strategies of Virtual Machines for Cluster Load Balancing. NPC Xing Li, Qinming He, Jianhai Chen, Kejiang Ye, Ting Yin
2011	—	`conf`	Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments. IEEE CLOUD Kejiang Ye, Xiaohong Jiang, Dawei Huang, Jianhai Chen, Bei Wang
2011	J	`jnl`	Virt-LM: a benchmark for live migration of virtual machine (abstracts only). SIGMETRICS Perform. Evaluation Rev. Dawei Huang, Deshi Ye, Qinming He, Jianhai Chen, Kejiang Ye
2011	B	`conf`	Virt-LM: a benchmark for live migration of virtual machine. ICPE Dawei Huang, Deshi Ye, Qinming He, Jianhai Chen, Kejiang Ye
2010	C	`conf`	Analyzing and Modeling the Performance in Xen-Based Virtual Cluster Environment. HPCC Kejiang Ye, Xiaohong Jiang, Siding Chen, Dawei Huang, Bei Wang
2010	C	`conf`	Evaluate the Performance and Scalability of Image Deployment in Virtual Data Center. NPC Kejiang Ye, Xiaohong Jiang, Qinming He, Xing Li, Jianhai Chen
2010	C	`conf`	Two Optimization Mechanisms to Improve the Isolation Property of Server Consolidation in Virtualized Multi-core Server. HPCC Kejiang Ye, Xiaohong Jiang, Deshi Ye, Dawei Huang
2010	—	`conf`	Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective. GreenCom/CPSCom Kejiang Ye, Dawei Huang, Xiaohong Jiang, Huajun Chen, Shuang Wu
2010	—	`conf`	vTestkit: A Performance Benchmarking Framework for Virtualization Environments. ChinaGrid Kejiang Ye, Jianhua Che, Xiaohong Jiang, Jianhai Chen, Xing Li
2009	—	`conf`	Performance Combinative Evaluation of Typical Virtual Machine Monitors. HPCA (China) Jianhua Che, Qinming He, Kejiang Ye, Dawei Huang