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2025
[j34]
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Kan Hu, Minxian Xu, Kejiang Ye, Cheng-Zhong Xu:
LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent. Softw. Pract. Exp. 55(4): 714-730 (2025)
[j33]
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Junhong Chen, Yanying Lin, Shijie Peng, Shuaipeng Wu, Kenneth B. Kent, Hao Dai, Kejiang Ye, Yang Wang:
Understanding Serverless Inference in Mobile-Edge Networks: A Benchmark Approach. IEEE Trans. Cloud Comput. 13(1): 198-212 (2025)
[j32]
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Xinliang Wei, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu, Yu Wang:
A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing. IEEE Trans. Mob. Comput. 24(4): 2580-2593 (2025)
[j31]
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  - journals/wcl/JiWLWYNX25
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Zhiyou Ji, Yujie Wan, Guoliang Li, Shuai Wang, Kejiang Ye, Derrick Wing Kwan Ng, Chengzhong Xu:
Robotic Sensor Network: Achieving Mutual Communication Control Assistance With Fast Cross-Layer Optimization. IEEE Wirel. Commun. Lett. 14(2): 385-389 (2025)
[c103]
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  - conf/eurosys/0001LXY025
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Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters. EuroSys 2025: 589-604
2024
[j30]
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  - journals/concurrency/SunZZZYX24
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Li Sun, Juanjuan Zhao, Jun Zhang, Fan Zhang, Kejiang Ye, Chengzhong Xu:
STRmt: A state transition based model for real-time crowd counting in a metro system. Concurr. Comput. Pract. Exp. 36(14) (2024)
[j29]
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  - journals/tocs/LuoLYXZYXX24
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Shutian Luo, Chenyu Lin, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Huanle Xu, Cheng-Zhong Xu:
Optimizing Resource Management for Shared Microservices: A Scalable System Design. ACM Trans. Comput. Syst. 42(1-2): 1:1-1:28 (2024)
[j28]
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  - journals/tpds/WeiYSXW24
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Xinliang Wei, Kejiang Ye, Xinghua Shi, Cheng-Zhong Xu, Yu Wang:
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds. IEEE Trans. Parallel Distributed Syst. 35(8): 1456-1468 (2024)
[j27]
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  - journals/tsc/ChuGXYXX24
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Shuhui Chu, Chengxi Gao, Minxian Xu, Kejiang Ye, Zhu Xiao, Cheng-Zhong Xu:
Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing. IEEE Trans. Serv. Comput. 17(1): 30-46 (2024)
[j26]
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  - journals/tsc/BaiXYBX24
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Haoyu Bai, Minxian Xu, Kejiang Ye, Rajkumar Buyya, Chengzhong Xu:
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters. IEEE Trans. Serv. Comput. 17(6): 3473-3484 (2024)
[c102]
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  - conf/IEEEcloud/WenXTY24
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Linfeng Wen, Minxian Xu, Adel Nadjaran Toosi, Kejiang Ye:
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. CLOUD 2024: 183-193
[c101]
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  - conf/bigdataconf/LiuZGY24
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Xiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye:
RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data. IEEE Big Data 2024: 1536-1545
[c100]
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  - conf/cbd/LiZL0ZY24
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Ye Li, Jun Zhang, Zongze Li, Jing Sun, Fan Zhang, Kejiang Ye:
Tree Decomposition based Top-k Shortest Distance Query on Large-scale Road Networks. CBD 2024: 246-253
[c99]
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  - conf/cscwd/PengL0TDY24
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Shijie Peng, Yanying Lin, Wenyan Chen, Yingfei Tang, Xu Duan, Kejiang Ye:
EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless. CSCWD 2024: 1376-1381
[c98]
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  - conf/ica3pp/DangHXY24
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Yongkang Dang, Yiyuan He, Minxian Xu, Kejiang Ye:
Resource Management for GPT-Based Model Deployed on Clouds: Challenges, Solutions, and Future Directions. ICA3PP (2) 2024: 95-105
[c97]
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  - conf/icdcs/LinLPTLSXY24
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Yanying Lin, Yanbo Li, Shijie Peng, Yingfei Tang, Shutian Luo, Haiying Shen, Cheng-Zhong Xu, Kejiang Ye:
QUART: Latency-Aware FaaS System for Pipelining Large Model Inference. ICDCS 2024: 1-12
[c96]
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  - conf/icdcs/YuYHCXLX24
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Xian Yu, Kejiang Ye, Dongbiao He, Xianfan Chen, Chengzhong Xu, Jianhui Li, Gaogang Xie:
MLPing: Real-Time Proactive Fault Detection and Alarm for Large-Scale Distributed IDC Network. ICDCS 2024: 913-924
[c95]
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  - conf/iciot2/XuYZCY24
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Pinghua Xu, Wenhang Yu, Xu Zhou, Xiaofan Chen, Kejiang Ye:
Node Pressure Prediction by Aggregating Long-Range Information. ICIOT 2024: 53-65
[c94]
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  - conf/icpr/LiZYGLY24
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Kaijie Li, Juanjuan Zhao, Li Yan, Xitong Gao, Ye Li, Kejiang Ye:
GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks. ICPR (6) 2024: 461-477
[c93]
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  - conf/icsoc/HeXWZYX24
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Yiyuan He, Minxian Xu, Jingfeng Wu, Wanyi Zheng, Kejiang Ye, Cheng-Zhong Xu:
UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving. ICSOC (1) 2024: 218-235
[c92]
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  - conf/icws/LinPWLL0Y24
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Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye:
Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint. ICWS 2024: 1306-1313
[c91]
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  - conf/isca/ChenLLMXYX24
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Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, ChengZhong Xu:
Derm: SLA-aware Resource Management for Highly Dynamic Microservices. ISCA 2024: 424-436
[c90]
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  - conf/ispa/Hu0XY24
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Kan Hu, Linfeng Wen, Minxian Xu, Kejiang Ye:
MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. ISPA 2024: 590-599
[c89]
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  - conf/pakdd/HanZGYZ24
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Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang:
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. PAKDD (5) 2024: 309-321
[c88]
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  - conf/pakdd/SunZZY24
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Li Sun, Juanjuan Zhao, Fan Zhang, Kejiang Ye:
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System. PAKDD (5) 2024: 322-335
[c87]
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  - conf/pakdd/SunZZZY24
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Li Sun, Juanjuan Zhao, Fan Zhang, Rui Zhang, Kejiang Ye:
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data. PAKDD (5) 2024: 336-349
[c86]
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  - conf/pakdd/SongZGZY24
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Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye:
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. PAKDD (5) 2024: 350-362
[c85]
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  - conf/sc/LuXL0Y024
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Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu:
SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. SC 2024: 38
[c84]
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  - conf/trustcom/WuYY24
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Shuaipeng Wu, Changhao Yuan, Kejiang Ye:
A Multi-Stage Spike Stream Processing and Image Reconstruction Method for Industrial Applications. TrustCom 2024: 2590-2597
[d3]
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  - data/10/ChenLLXYX24
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Liao Chen, Shutian Luo, Chenyu Lin, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Derm: SLA-aware Resource Management for Highly Dynamic Microservices. Version 1. Zenodo, 2024 [all versions]
[d2]
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  - data/10/ChenLLXYX24a
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Liao Chen, Shutian Luo, Chenyu Lin, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Derm: SLA-aware Resource Management for Highly Dynamic Microservices. Version 2. Zenodo, 2024 [all versions]
[i29]
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  - journals/corr/abs-2402-08917
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Xiang Li, Linfeng Wen, Minxian Xu, Kejiang Ye:
An Interference-aware Approach for Co-located Container Orchestration with Novel Metric. CoRR abs/2402.08917 (2024)
[i28]
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  - journals/corr/abs-2404-10541
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Zhiyou Ji, Guoliang Li, Ruihua Han, Shuai Wang, Bing Bai, Wei Xu, Kejiang Ye, Chengzhong Xu:
MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication. CoRR abs/2404.10541 (2024)
[i27]
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  - journals/corr/abs-2405-12635
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Linfeng Wen, Minxian Xu, Adel Nadjaran Toosi, Kejiang Ye:
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. CoRR abs/2405.12635 (2024)
[i26]
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  - journals/corr/abs-2405-20560
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Lujie Tang, Minxian Xu, Cheng-Zhong Xu, Kejiang Ye:
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales. CoRR abs/2405.20560 (2024)
[i25]
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  - journals/corr/abs-2407-04053
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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:
Edge AI: A Taxonomy, Systematic Review and Future Directions. CoRR abs/2407.04053 (2024)
[i24]
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  - journals/corr/abs-2407-10169
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Haoyu Bai, Minxian Xu, Kejiang Ye, Rajkumar Buyya, Cheng-Zhong Xu:
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters. CoRR abs/2407.10169 (2024)
[i23]
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  - journals/corr/abs-2407-10173
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Linfeng Wen, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, ChengZhong Xu:
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. CoRR abs/2407.10173 (2024)
[i22]
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  - journals/corr/abs-2409-05093
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Jingfeng Wu, Minxian Xu, Yiyuan He, Kejiang Ye, Chengzhong Xu:
CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications. CoRR abs/2409.05093 (2024)
[i21]
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  - journals/corr/abs-2409-14953
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Kan Hu, Linfeng Wen, Minxian Xu, Kejiang Ye:
MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. CoRR abs/2409.14953 (2024)
[i20]
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  - journals/corr/abs-2409-14961
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Yiyuan He, Minxian Xu, Jingfeng Wu, Wanyi Zheng, Kejiang Ye, Cheng-Zhong Xu:
UELLM: A Unified and Efficient Approach for LLM Inference Serving. CoRR abs/2409.14961 (2024)
[i19]
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  - journals/corr/abs-2411-11493
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Kan Hu, Minxian Xu, Kejiang Ye, Cheng-Zhong Xu:
LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent. CoRR abs/2411.11493 (2024)
[i18]
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  - journals/corr/abs-2412-18453
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Zhixuan Xie, Jianjun Chen, Guoliang Li, Shuai Wang, Kejiang Ye, Yonina C. Eldar, Chengzhong Xu:
Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection. CoRR abs/2412.18453 (2024)
2023
[j25]
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  - journals/iotj/WuWXLDYX23
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Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Cheng-Zhong Xu:
Joint Semantic Transfer Network for IoT Intrusion Detection. IEEE Internet Things J. 10(4): 3368-3383 (2023)
[j24]
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Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. IEEE Internet Things J. 10(12): 10764-10777 (2023)
[j23]
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  - journals/tbd/ZhengZYGYX23
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Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu:
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data 9(3): 991-1003 (2023)
[j22]
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  - journals/tcc/GaoCXXYX23
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Chengxi Gao, Shuhui Chu, Hong Xu, Minxian Xu, Kejiang Ye, Chengzhong Xu:
Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks. IEEE Trans. Cloud Comput. 11(1): 1038-1049 (2023)
[j21]
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  - journals/ton/LinYHLX23
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Peng Lin, Kejiang Ye, Yishen Hu, Yanying Lin, Cheng-Zhong Xu:
A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification. IEEE/ACM Trans. Netw. 31(3): 1369-1384 (2023)
[j20]
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  - journals/tsc/LiLWYX23
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Yongkang Li, Yanying Lin, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
Serverless Computing: State-of-the-Art, Challenges and Opportunities. IEEE Trans. Serv. Comput. 16(2): 1522-1539 (2023)
[j19]
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  - journals/tvt/LiWZWYWN23
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Zongze Li, Shuai Wang, Shiyao Zhang, Miaowen Wen, Kejiang Ye, Yik-Chung Wu, Derrick Wing Kwan Ng:
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty. IEEE Trans. Veh. Technol. 72(7): 9641-9646 (2023)
[c83]
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  - conf/asplos/LuoXYXZHY023
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Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu:
Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees. ASPLOS (1) 2023: 62-77
[c82]
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Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
A Survey on Cross-Domain Few-Shot Image Classification. BigData 2023: 3-17
[c81]
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Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu:
Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. EuroSys 2023: 416-432
[c80]
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Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. ICANN (1) 2023: 183-194
[c79]
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Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. ICCV 2023: 4539-4549
[c78]
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Hongyu Tian, Yuan Wang, Kejiang Ye:
DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant. ICIOT 2023: 72-87
[c77]
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Yanbo Li, Yanying Lin, Shijie Peng, Yingfei Tang, Tian Xiang, Wei Song, Kejiang Ye:
FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge. ICPADS 2023: 2640-2646
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Chenghao Song, Minxian Xu, Kejiang Ye, Huaming Wu, Sukhpal Singh Gill, Rajkumar Buyya, Cheng-Zhong Xu:
ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster. ICSOC (1) 2023: 197-211
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Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. ICTAI 2023: 586-594
[c74]
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  - conf/icws2/YuYCYCLX23
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Xian Yu, Kejiang Ye, Zihong Chen, Jia Yi, Xiaofan Chen, Bozhong Liu, Cheng-Zhong Xu:
A Semi-supervised Learning Based Method for Identifying Idle Virtual Machines in Managed Cloud: Application and Practice. ICWS 2023: 65-82
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Kai Cheng, Yaowen Zheng, Tao Liu, Le Guan, Peng Liu, Hong Li, Hongsong Zhu, Kejiang Ye, Limin Sun:
Detecting Vulnerabilities in Linux-Based Embedded Firmware with SSE-Based On-Demand Alias Analysis. ISSTA 2023: 360-372
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Xiang Li, Linfeng Wen, Minxian Xu, Kejiang Ye:
An Interference-aware Approach for Co-located Container Orchestration with Novel Metric. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 600-607
[c71]
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Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. SC 2023: 30:1-30:15
[c70]
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  - conf/services2/TianY23
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Hongyu Tian, Kejiang Ye:
CEESys: A Cloud-Edge-End System for Data Acquisition, Transmission and Processing Based on HiSilicon and OpenHarmony. METAVERSE 2023: 3-14
[c69]
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Ziqiang Liu, Kejiang Ye:
YOLO-IMF: An Improved YOLOv8 Algorithm for Surface Defect Detection in Industrial Manufacturing Field. METAVERSE 2023: 15-28
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Kejiang Ye, Liang-Jie Zhang:
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. Lecture Notes in Computer Science 14208, Springer 2023, ISBN 978-3-031-51733-4 [contents]
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Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu:
Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. Zenodo, 2023
[i17]
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  - journals/corr/abs-2301-09801
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Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu:
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. CoRR abs/2301.09801 (2023)
[i16]
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Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks. CoRR abs/2303.15127 (2023)
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Yongkang Dang, Minxian Xu, Kejiang Ye:
Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions. CoRR abs/2308.02970 (2023)
[i14]
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Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses. CoRR abs/2308.03258 (2023)
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Minxian Xu, Lei Yang, Yang Wang, Chengxi Gao, Linfeng Wen, Guoyao Xu, Liping Zhang, Kejiang Ye, ChengZhong Xu:
Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster. CoRR abs/2308.15315 (2023)
[i12]
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Chenghao Song, Minxian Xu, Kejiang Ye, Huaming Wu, Sukhpal Singh Gill, Rajkumar Buyya, Chengzhong Xu:
ChainsFormer: A Chain Latency-aware Resource Provisioning Approach for Microservices Cluster. CoRR abs/2309.12592 (2023)
2022
[j18]
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Yuhang Zhang, Hongshuai Ren, Wensi Yang, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
The strong substructure and feature attention mechanism for image semantic segmentation. Concurr. Comput. Pract. Exp. 34(12) (2022)
[j17]
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Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Cheng-Zhong Xu:
Toward fast theta-join: A prefiltering and amalgamated partitioning approach. Concurr. Comput. Pract. Exp. 34(17) (2022)
[j16]
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Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:
PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. Softw. Pract. Exp. 52(2): 394-414 (2022)
[j15]
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Yang Wang, Min Li, Hao Dai, Kenneth B. Kent, Kejiang Ye, Chengzhong Xu:
Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions. IEEE Trans. Computers 71(9): 2073-2087 (2022)
[j14]
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Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu:
Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization. IEEE Trans. Cloud Comput. 10(2): 899-912 (2022)
[j13]
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Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. IEEE Trans. Intell. Transp. Syst. 23(5): 3904-3924 (2022)
[j12]
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Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu:
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Trans. Intell. Transp. Syst. 23(10): 18337-18351 (2022)
[j11]
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Minxian Xu, Chenghao Song, Shashikant Ilager, Sukhpal Singh Gill, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 19(4): 3995-4009 (2022)
[j10]
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Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu:
esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments. ACM Trans. Internet Techn. 22(3): 75:1-75:24 (2022)
[j9]
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Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu:
An In-Depth Study of Microservice Call Graph and Runtime Performance. IEEE Trans. Parallel Distributed Syst. 33(12): 3901-3914 (2022)
[j8]
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Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo:
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. IEEE Wirel. Commun. Lett. 11(12): 2660-2664 (2022)
[c68]
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Hangtao He, Kejiang Ye:
Graph Structure Neural Differential Equations on Spatio-temporal Prediction. IEEE Big Data 2022: 1830-1835
[c67]
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  - conf/cloud/LuoXYXZY022
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Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu:
The power of prediction: microservice auto scaling via workload learning. SoCC 2022: 355-369
[c66]
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Xianghuan He, Xitong Gao, Juanjuan Zhao, Chengxi Gao, Kejiang Ye:
Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM. CLOUD 2022: 39-53
[c65]
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Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Improving Few-Shot Image Classification with Self-supervised Learning. CLOUD 2022: 54-68
[c64]
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Yanying Lin, Junhong Chen, Yang Wang, Kejiang Ye:
ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless. HPCC/DSS/SmartCity/DependSys 2022: 267-274
[c63]
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Hangtao He, Linyu Su, Kejiang Ye:
GraphGRU: A Graph Neural Network Model for Resource Prediction in Microservice Cluster. ICPADS 2022: 499-506
[c62]
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Deshi Deng, Yanying Lin, Kejiang Ye:
System-level Implications of Serverless: Workload Characterizing and Performance Understanding. ISPA/BDCloud/SocialCom/SustainCom 2022: 331-338
[c61]
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Lujie Tang, Kejiang Ye:
DT-EEC: A Digital Twin-assisted End-Edge-Cloud Collaboration Architecture for Industrial Internet. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1638-1643
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Kejiang Ye, Liang-Jie Zhang:
Cloud Computing - CLOUD 2021 - 14th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings. Lecture Notes in Computer Science 12989, Springer 2022, ISBN 978-3-030-96325-5 [contents]
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Kejiang Ye, Liang-Jie Zhang:
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. Lecture Notes in Computer Science 13731, Springer 2022, ISBN 978-3-031-23497-2 [contents]
[i11]
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  - journals/corr/abs-2203-02684
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Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu:
EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment. CoRR abs/2203.02684 (2022)
[i10]
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  - journals/corr/abs-2208-02981
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Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu:
Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach. CoRR abs/2208.02981 (2022)
[i9]
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  - journals/corr/abs-2208-07592
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Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo:
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. CoRR abs/2208.07592 (2022)
[i8]
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  - journals/corr/abs-2210-15911
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Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu:
Joint Semantic Transfer Network for IoT Intrusion Detection. CoRR abs/2210.15911 (2022)
[i7]
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  - journals/corr/abs-2212-06459
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Zongze Li, Shuai Wang, Shiyao Zhang, Miaowen Wen, Kejiang Ye, Yik-Chung Wu, Derrick Wing Kwan Ng:
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty. CoRR abs/2212.06459 (2022)
[i6]
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Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu:
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. CoRR abs/2212.09979 (2022)
2021
[c60]
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Hangtao He, Kejiang Ye, Cheng-Zhong Xu:
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network. IEEE BigData 2021: 1409-1417
[c59]
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  - conf/blocksys/WangY0021
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Rui Wang, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:
xBCBench: A Benchmarking Tool for Analyzing the Performance of Blockchain Systems. BlockSys 2021: 101-114
[c58]
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Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu:
Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis. SoCC 2021: 412-426
[c57]
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Yonghe Zhang, Kejiang Ye, Cheng-Zhong Xu:
An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform. CLOUD 2021: 17-31
[c56]
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Kao Wen, Junjian Huang, Chan Zhou, Kejiang Ye:
Electronic Card Localization Algorithm Based on Visible Light Screen Communication. CLOUD 2021: 32-44
[c55]
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Yanying Lin, Kejiang Ye, Yongkang Li, Peng Lin, Yingfei Tang, Cheng-Zhong Xu:
BBServerless: A Bursty Traffic Benchmark for Serverless. CLOUD 2021: 45-60
[c54]
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Yu Liu, Kejiang Ye, Cheng-Zhong Xu:
Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V. CLOUD 2021: 61-74
[c53]
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Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:
RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning. CLUSTER 2021: 59-69
[c52]
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Peng Lin, Yishen Hu, Yanying Lin, Kejiang Ye, Cheng-Zhong Xu:
PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification. HPCC/DSS/SmartCity/DependSys 2021: 267-274
[i5]
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  - journals/corr/abs-2106-05584
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Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:
PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing. CoRR abs/2106.05584 (2021)
[i4]
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  - journals/corr/abs-2107-01528
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Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. CoRR abs/2107.01528 (2021)
[i3]
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Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. CoRR abs/2108.03900 (2021)
2020
[j7]
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Wensi Yang, Qingfeng Yao, Kejiang Ye, Cheng-Zhong Xu:
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation. Int. J. Parallel Program. 48(1): 61-79 (2020)
[j6]
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Wen-Yan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu:
Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. J. Comput. Sci. Technol. 35(2): 412-417 (2020)
[j5]
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Yang Wang, Shan Cao, Hongshuai Ren, Jianjun Li, Kejiang Ye, Cheng-Zhong Xu, Xi Chen:
Towards cost-effective service migration in mobile edge: A Q-learning approach. J. Parallel Distributed Comput. 146: 175-188 (2020)
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Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu:
Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Trans. Computers 69(10): 1519-1532 (2020)
[c51]
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Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye:
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. BigData 2020: 116-126
[c50]
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  - conf/cloud2/SunYX20
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Yongzhong Sun, Kejiang Ye, Cheng-Zhong Xu:
PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs. CLOUD 2020: 111-125
[c49]
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Shujian Ji, Kejiang Ye, Cheng-Zhong Xu:
A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder. CLOUD 2020: 126-140
[c48]
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Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu:
HySync: Hybrid Federated Learning with Effective Synchronization. HPCC/DSS/SmartCity 2020: 628-633
[c47]
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Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu:
LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network. ICPADS 2020: 72-80
[c46]
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Jingjie Guo, Kelang Tian, Kejiang Ye, Cheng-Zhong Xu:
MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction. ICPR 2020: 3605-3611
[c45]
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Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR 2020: 5130-5136
[c44]
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Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR 2020: 6702-6709
[c43]
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  - conf/ictai/TianGY020
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Kelang Tian, Jingjie Guo, Kejiang Ye, Cheng-Zhong Xu:
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting. ICTAI 2020: 714-721
[c42]
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Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN 2020: 1-8
[c41]
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Rui Wang, Kejiang Ye, Tianhui Meng, Cheng-Zhong Xu:
Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos. SCC 2020: 120-134
[e1]
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João Eduardo Ferreira, Balaji Palanisamy, Kejiang Ye, Siva Kantamneni, Liang-Jie Zhang:
Services - SERVICES 2020 - 16th World Congress, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. Lecture Notes in Computer Science 12411, Springer 2020, ISBN 978-3-030-59594-4 [contents]
[i2]
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  - journals/corr/abs-2005-04955
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Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR abs/2005.04955 (2020)
[i1]
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  - journals/corr/abs-2005-11691
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Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR abs/2005.11691 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
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Yuhang Zhang, Wensi Yang, Wanlin Sun, Kejiang Ye, Ming Chen, Cheng-Zhong Xu:
The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior. AIMS 2019: 13-27
[c39]
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Wensi Yang, Yuhang Zhang, Kejiang Ye, Li Li, Cheng-Zhong Xu:
FFD: A Federated Learning Based Method for Credit Card Fraud Detection. BigData 2019: 18-32
[c38]
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Jin Hao, Kejiang Ye, Cheng-Zhong Xu:
Live Migration of Virtual Machines in OpenStack: A Perspective from Reliability Evaluation. CLOUD 2019: 99-113
[c37]
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Peng Lin, Kejiang Ye, Cheng-Zhong Xu:
Dynamic Network Anomaly Detection System by Using Deep Learning Techniques. CLOUD 2019: 161-176
[c36]
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Shujian Ji, Kejiang Ye, Cheng-Zhong Xu:
CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds. CLOUD 2019: 324-339
[c35]
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Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu:
Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis. HPCC/SmartCity/DSS 2019: 2278-2283
[c34]
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Shilin Zhao, Kejiang Ye, Cheng-Zhong Xu:
Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center. HPCC/SmartCity/DSS 2019: 2299-2304
[c33]
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Rui Wang, Kejiang Ye, Cheng-Zhong Xu:
Performance Benchmarking and Optimization for Blockchain Systems: A Survey. ICBC 2019: 171-185
[c32]
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Peng Lin, Kejiang Ye, Ming Chen, Cheng-Zhong Xu:
DCSA: Using Density-Based Clustering and Sequential Association Analysis to Predict Alarms in Telecommunication Networks. ICPADS 2019: 1-8
[c31]
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Chengzhi Lu, Kejiang Ye, Wenyan Chen, Cheng-Zhong Xu:
ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds. ICPADS 2019: 53-60
[c30]
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Jinpeng Wang, Yang Wang, Hekang Wang, Kejiang Ye, Cheng-Zhong Xu, Shuibing He, Lingfang Zeng:
Towards Cluster-wide Deduplication Based on Ceph. NAS 2019: 1-8
[c29]
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Yongzhong Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu:
BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment. NPC 2019: 345-349
[c28]
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Shujian Ji, Tongzheng Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu:
DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection. NPC 2019: 350-354
[c27]
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Peng Lin, Kejiang Ye, Cheng-Zhong Xu:
NetDetector: an Anomaly Detection Platform for Networked Systems. RCAR 2019: 69-74
2018
[c26]
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Kejiang Ye, Yangyang Liu, Guoyao Xu, Cheng-Zhong Xu:
Fault Injection and Detection for Artificial Intelligence Applications in Container-Based Clouds. CLOUD 2018: 112-127
[c25]
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Mingyi Zhu, Kejiang Ye, Cheng-Zhong Xu:
Network Anomaly Detection and Identification Based on Deep Learning Methods. CLOUD 2018: 219-234
[c24]
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  - conf/cluster/YeX18
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Kejiang Ye, Cheng-Zhong Xu:
Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud. CLUSTER 2018: 162-163
[c23]
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Wenyan Chen, Kejiang Ye, Yang Wang, Guoyao Xu, Cheng-Zhong Xu:
How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace. ICPADS 2018: 102-109
[c22]
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Kejiang Ye, Yanmin Kou, Chengzhi Lu, Yang Wang, Cheng-Zhong Xu:
Modeling Application Performance in Docker Containers Using Machine Learning Techniques. ICPADS 2018: 1057-1062
[c21]
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Mingyi Zhu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:
A Deep Learning Approach for Network Anomaly Detection Based on AMF-LSTM. NPC 2018: 137-141
2017
[c20]
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Kejiang Ye:
Anomaly Detection in Clouds: Challenges and Practice. ETCD@ASPLOS 2017: 6:1-6:2
[c19]
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Chengzhi Lu, Kejiang Ye, Guoyao Xu, Cheng-Zhong Xu, Tongxin Bai:
Imbalance in the cloud: An analysis on Alibaba cluster trace. IEEE BigData 2017: 2884-2892
[c18]
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Kejiang Ye, Yunjie Ji:
Performance Tuning and Modeling for Big Data Applications in Docker Containers. NAS 2017: 1-6
2016
[c17]
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Zhaohui Wu, Xiang Li, Peter Garraghan, Xiaohong Jiang, Kejiang Ye, Albert Y. Zomaya:
Virtual Machine Level Temperature Profiling and Prediction in Cloud Datacenters. ICDCS 2016: 735-736
2015
[j3]
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Kejiang Ye, Zhaohui Wu, Chen Wang, Bing Bing Zhou, Weisheng Si, Xiaohong Jiang, Albert Y. Zomaya:
Profiling-Based Workload Consolidation and Migration in Virtualized Data Centers. IEEE Trans. Parallel Distributed Syst. 26(3): 878-890 (2015)
2014
[j2]
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Kejiang Ye, Zhaohui Wu, Bing Bing Zhou, Xiaohong Jiang, Chen Wang, Albert Y. Zomaya:
Virt-B: Towards Performance Benchmarking of Virtual Machine Systems. IEEE Internet Comput. 18(3): 64-72 (2014)
[c16]
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Yanzhang He, Xiaohong Jiang, Zhaohui Wu, Kejiang Ye, Zhongzhong Chen:
Scalability Analysis and Improvement of Hadoop Virtual Cluster with Cost Consideration. IEEE CLOUD 2014: 594-601
2013
[c15]
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Xiang Li, Xiaohong Jiang, Kejiang Ye, Peng Huang:
DartCSim+: Enhanced CloudSim with the Power and Network Models Integrated. IEEE CLOUD 2013: 644-651
[c14]
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  - conf/appt/HeJYML13
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Yanzhang He, Xiaohong Jiang, Kejiang Ye, Ran Ma, Xiang Li:
HPACS: A High Privacy and Availability Cloud Storage Platform with Matrix Encryption. APPT 2013: 132-145
2012
[c13]
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  - conf/ccis/LiJHY12
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Xiang Li, Xiaohong Jiang, Peng Huang, Kejiang Ye:
DartCSim: An enhanced user-friendly cloud simulation system based on CloudSim with better performance. CCIS 2012: 392-396
[c12]
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  - conf/cluster/YeJHLYH12
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Kejiang Ye, Xiaohong Jiang, Yanzhang He, Xiang Li, Haiming Yan, Peng Huang:
vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration. CLUSTER Workshops 2012: 152-160
[c11]
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Kejiang Ye, Xiaohong Jiang, Ran Ma, Fengxi Yan:
VC-Migration: Live Migration of Virtual Clusters in the Cloud. GRID 2012: 209-218
2011
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Dawei Huang, Deshi Ye, Qinming He, Jianhai Chen, Kejiang Ye:
Virt-LM: a benchmark for live migration of virtual machine (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39(3): 18 (2011)
[c10]
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Kejiang Ye, Xiaohong Jiang, Dawei Huang, Jianhai Chen, Bei Wang:
Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments. IEEE CLOUD 2011: 267-274
[c9]
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Yuxiang Shi, Xiaohong Jiang, Kejiang Ye:
An Energy-Efficient Scheme for Cloud Resource Provisioning Based on CloudSim. CLUSTER 2011: 595-599
[c8]
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Xing Li, Qinming He, Jianhai Chen, Kejiang Ye, Ting Yin:
Informed Live Migration Strategies of Virtual Machines for Cluster Load Balancing. NPC 2011: 111-122
[c7]
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Dawei Huang, Deshi Ye, Qinming He, Jianhai Chen, Kejiang Ye:
Virt-LM: a benchmark for live migration of virtual machine. ICPE 2011: 307-316
2010
[c6]
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Kejiang Ye, Jianhua Che, Xiaohong Jiang, Jianhai Chen, Xing Li:
vTestkit: A Performance Benchmarking Framework for Virtualization Environments. ChinaGrid 2010: 130-136
[c5]
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Kejiang Ye, Dawei Huang, Xiaohong Jiang, Huajun Chen, Shuang Wu:
Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective. GreenCom/CPSCom 2010: 171-178
[c4]
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Kejiang Ye, Xiaohong Jiang, Siding Chen, Dawei Huang, Bei Wang:
Analyzing and Modeling the Performance in Xen-Based Virtual Cluster Environment. HPCC 2010: 273-280
[c3]
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Kejiang Ye, Xiaohong Jiang, Deshi Ye, Dawei Huang:
Two Optimization Mechanisms to Improve the Isolation Property of Server Consolidation in Virtualized Multi-core Server. HPCC 2010: 281-288
[c2]
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Kejiang Ye, Xiaohong Jiang, Qinming He, Xing Li, Jianhai Chen:
Evaluate the Performance and Scalability of Image Deployment in Virtual Data Center. NPC 2010: 390-401

2000 – 2009

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2009
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Jianhua Che, Qinming He, Kejiang Ye, Dawei Huang:
Performance Combinative Evaluation of Typical Virtual Machine Monitors. HPCA (China) 2009: 96-101

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