OpenClinicalAI: An open and dynamic model for Alzheimer's Disease diagnosis - Yunyou Huang; Xiaoshuang Liang; Jiyue Xie; Xiangjiang Lu; Xiuxia Miao; Wenjing Liu; Fan Zhang; Guoxin Kang; Li Ma; Suqin Tang; Jianfeng Zhan (Expert Syst. Appl., 2025)

BigVectorBench: Heterogeneous Data Embedding and Compound Queries are Essential in Evaluating Vector Databases - Guoxin Kang; Zhongxin Ge; Jingpei Hu; Xueya Zhang; Lei Wang; Jianfeng Zhan (Proc. VLDB Endow., 2025)

Quantifying the Dynamics of Harm Caused by Retracted Research - Yunyou Huang; Jiahui Zhao; Dandan Cui; Zhengxin Yang; Bingjie Xia; Qi Liang; Wenjing Liu; Li Ma; Suqin Tang; Tianyong Hao; Zhifei Zhang; Wanling Gao; et al. (CoRR, 2025)

Deep Adaptive Graph Clustering via von Mises-Fisher Distributions - Pengfei Wang; Daqing Wu; Chong Chen; Kunpeng Liu; Yanjie Fu; Jianqiang Huang; Yuanchun Zhou; Jianfeng Zhan; Xiansheng Hua (ACM Trans. Web, 2024)

Evaluating Kernel Anti-Exploitation Capabilities: A Scalable and General Framework Based on Evaluatology - Simin Chen; Dong Li; Chenggang Wu; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - 16th BenchCouncil International Symposium, Bench 2024, Guangzhou, China, December 4-6, 2024, Revised Selected Papers, 2024)

IterLara: A Concise General-Purpose Algebraic Model - Hongxiao Li; Wanling Gao; Lei Wang; Jianfeng Zhan (Computing and Combinatorics - 30th International Conference, COCOON 2024, Shanghai, China, August 23-25, 2024, Proceedings, Part II, 2024)

AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI - Fanda Fan; Chunjie Luo; Wanling Gao; Jianfeng Zhan (CoRR, 2024)

Evaluatology: The Science and Engineering of Evaluation - Jianfeng Zhan; Lei Wang; Wanling Gao; Hongxiao Li; Chenxi Wang; Yunyou Huang; Yatao Li; Zhengxin Yang; Guoxin Kang; Chunjie Luo; Hainan Ye; Shaopeng Dai; et al. (CoRR, 2024)

Bridging the Gap Between Domain-specific Frameworks and Multiple Hardware Devices - Xu Wen; Wanling Gao; Lei Wang; Jianfeng Zhan (CoRR, 2024)

AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database - Wanling Gao; Yuan Liu; Zhuoming Yu; Dandan Cui; Wenjing Liu; Xiaoshuang Liang; Jiahui Zhao; Jiyue Xie; Hao Li; Li Ma; Ning Ye; Yumiao Kang; et al. (CoRR, 2024)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture - Zhengxin Yang; Wanling Gao; Luzhou Peng; Yunyou Huang; Fei Tang; Jianfeng Zhan (CoRR, 2024)

Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models - Wanling Gao; Yunyou Huang; Dandan Cui; Zhuoming Yu; Wenjing Liu; Xiaoshuang Liang; Jiahui Zhao; Jiyue Xie; Hao Li; Li Ma; Ning Ye; Yumiao Kang; et al. (CoRR, 2024)

Could Bibliometrics Reveal Top Science and Technology Achievements and Researchers? The Case for Evaluatology-based Science and Technology Evaluation - Guoxin Kang; Wanling Gao; Lei Wang; Chunjie Luo; Hainan Ye; Qian He; Shaopeng Dai; Jianfeng Zhan (CoRR, 2024)

Achieving Consistent and Comparable CPU Evaluation Outcomes - Chenxi Wang; Lei Wang; Wanling Gao; Yikang Yang; Yutong Zhou; Jianfeng Zhan (CoRR, 2024)

Scenario-Based AI Benchmark Evaluation of Distributed Cloud/Edge Computing Systems - Tianshu Hao; Kai Hwang; Jianfeng Zhan; Yuejin Li; Yong Cao (IEEE Trans. Computers, 2023)

Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields - Yatao Li; Wanling Gao; Lei Wang; Lixin Sun; Zun Wang; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3-5, 2023, Revised Selected Papers, 2023)

A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads - Yikang Yang; Lei Wang; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3-5, 2023, Revised Selected Papers, 2023)

AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models - Fei Tang; Wanling Gao; Luzhou Peng; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3-5, 2023, Revised Selected Papers, 2023)

CMLCompiler: A Unified Compiler for Classical Machine Learning - Xu Wen; Wanling Gao; Anzheng Li; Lei Wang; Zihan Jiang; Jianfeng Zhan (Proceedings of the 37th International Conference on Supercomputing, ICS 2023, Orlando, FL, USA, June 21-23, 2023, 2023)

Hierarchical Masked 3D Diffusion Model for Video Outpainting - Fanda Fan; Chaoxu Guo; Litong Gong; Biao Wang; Tiezheng Ge; Yuning Jiang; Chunjie Luo; Jianfeng Zhan (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

CMLCompiler: A Unified Compiler for Classical Machine Learning - Xu Wen; Wanling Gao; Anzheng Li; Lei Wang; Zihan Jiang; Jianfeng Zhan (CoRR, 2023)

NHtapDB: Native HTAP Databases - Guoxin Kang; Lei Wang; Simin Chen; Jianfeng Zhan (CoRR, 2023)

DCNetBench: Scaleable Data Center Network Benchmarking - Ke Liu; Wanling Gao; Chunjie Luo; Cheng Huang; Chunxin Lan; Zhenxing Zhang; Lei Wang; Xiwen He; Nan Li; Jianfeng Zhan (CoRR, 2023)

WPC: Whole-picture Workload Characterization - Lei Wang; Kaiyong Yang; Chenxi Wang; Wanling Gao; Chunjie Luo; Fan Zhang; Zhongxin Ge; Li Zhang; Guoxin Kang; Jianfeng Zhan (CoRR, 2023)

OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis - Yunyou Huang; Xianglong Guan; Xiangjiang Lu; Xiaoshuang Liang; Xiuxia Miao; Jiyue Xie; Wenjing Liu; Li Ma; Suqin Tang; Zhifei Zhang; Jianfeng Zhan (CoRR, 2023)

OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis - Yunyou Huang; Xiaoshuang Liang; Xiangjiang Lu; Xiuxia Miao; Jiyue Xie; Wenjing Liu; Fan Zhang; Guoxin Kang; Li Ma; Suqin Tang; Zhifei Zhang; Jianfeng Zhan (CoRR, 2023)

IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database - Hongxiao Li; Wanling Gao; Lei Wang; Jianfeng Zhan (CoRR, 2023)

Does AI for science need another ImageNet Or totally different benchmarks? A case study of machine learning force fields - Yatao Li; Wanling Gao; Lei Wang; Lixin Sun; Zun Wang; Jianfeng Zhan (CoRR, 2023)

Hierarchical Masked 3D Diffusion Model for Video Outpainting - Fanda Fan; Chaoxu Guo; Litong Gong; Biao Wang; Tiezheng Ge; Yuning Jiang; Chunjie Luo; Jianfeng Zhan (CoRR, 2023)

AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models - Fei Tang; Wanling Gao; Luzhou Peng; Jianfeng Zhan (CoRR, 2023)

A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads - Yikang Yang; Lei Wang; Jianfeng Zhan (CoRR, 2023)

SAIBench: A Structural Interpretation of AI for Science Through Benchmarks - Yatao Li; Jianfeng Zhan (CoRR, 2023)

DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data - Nana Wang; Chunjie Luo; Xi Huang; Yunyou Huang; Jianfeng Zhan (Neurocomputing, 2022)

EAIBench: An Energy Efficiency Benchmark for AI Training - Fan Zhang; Chuanxin Lan; Lei Wang; Fei Tang; Shaopeng Dai; Jiangtao Wang; Jiantao Ma; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers, 2022)

OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems - Guoxin Kang; Lei Wang; Wanling Gao; Fei Tang; Jianfeng Zhan (38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022, 2022)

OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems - Guoxin Kang; Lei Wang; Wanling Gao; Fei Tang; Jianfeng Zhan (CoRR, 2022)

Three Laws of Technology Rise or Fall - Jianfeng Zhan (CoRR, 2022)

A BenchCouncil View on Benchmarking Emerging and Future Computing - Jianfeng Zhan (CoRR, 2022)

SAIBench: Benchmarking AI for Science - Yatao Li; Jianfeng Zhan (CoRR, 2022)

High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer - Wanling Gao; Lei Wang; Mingyu Chen; Jin Xiong; Chunjie Luo; Wenli Zhang; Yunyou Huang; Weiping Li; Guoxin Kang; Chen Zheng; Biwei Xie; Shaopeng Dai; et al. (CoRR, 2022)

ToL: A Tensor of List-Based Unified Computation Model - Hongxiao Li; Wanling Gao; Lei Wang; Jianfeng Zhan (CoRR, 2022)

Quality at the Tail - Zhengxin Yang; Wanling Gao; Chunjie Luo; Lei Wang; Jianfeng Zhan (CoRR, 2022)

WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture - Lei Wang; Xingwang Xiong; Jianfeng Zhan; Wanling Gao; Xu Wen; Guoxin Kang; Fei Tang (IEEE Comput. Archit. Lett., 2021)

AIBench Scenario: Scenario-Distilling AI Benchmarking - Wanling Gao; Fei Tang; Jianfeng Zhan; Xu Wen; Lei Wang; Zheng Cao; Chuanxin Lan; Chunjie Luo; Xiaoli Liu; Zihan Jiang (30th International Conference on Parallel Architectures and Compilation Techniques, PACT 2021, Atlanta, GA, USA, September 26-29, 2021, 2021)

Ensemble Clustering-based Cervical Spondylosis Fine-classification - Nana Wang; Chunjie Luo; Yunyou Huang; Jianfeng Zhan (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021, 2021)

AI-oriented Workload Allocation for Cloud-Edge Computing - Tianshu Hao; Jianfeng Zhan; Kai Hwang; Wanling Gao; Xu Wen (21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, Melbourne, Australia, May 10-13, 2021, 2021)

HPC AI500 V2.0: The Methodology, Tools, and Metrics for Benchmarking HPC AI Systems - Zihan Jiang; Wanling Gao; Fei Tang; Lei Wang; Xingwang Xiong; Chunjie Luo; Chuanxin Lan; Hongxiao Li; Jianfeng Zhan (IEEE International Conference on Cluster Computing, CLUSTER 2021, Portland, OR, USA, September 7-10, 2021, 2021)

Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks - Chunjie Luo; Jianfeng Zhan; Lei Wang; Wanling Gao (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

AIBench Training: Balanced Industry-Standard AI Training Benchmarking - Fei Tang; Wanling Gao; Jianfeng Zhan; Chuanxin Lan; Xu Wen; Lei Wang; Chunjie Luo; Zheng Cao; Xingwang Xiong; Zihan Jiang; Tianshu Hao; Fanda Fan; et al. (IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2021, Stony Brook, NY, USA, March 28-30, 2021, 2021)

HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking - Zihan Jiang; Wanling Gao; Fei Tang; Xingwang Xiong; Lei Wang; Chuanxin Lan; Chunjie Luo; Hongxiao Li; Jianfeng Zhan (CoRR, 2021)

Shift-and-Balance Attention - Chunjie Luo; Jianfeng Zhan; Tianshu Hao; Lei Wang; Wanling Gao (CoRR, 2021)

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings - Yunyou Huang; Nana Wang; Suqin Tang; Li Ma; Tianshu Hao; Zihan Jiang; Fan Zhang; Guoxin Kang; Xiuxia Miao; Xianglong Guan; Ruchang Zhang; Zhifei Zhang; et al. (CoRR, 2021)

Call for establishing benchmark science and engineering - Jianfeng Zhan (CoRR, 2021)

OStoreBench: Benchmarking Distributed Object Storage Systems Using Real-World Application Scenarios - Guoxin Kang; Defei Kong; Lei Wang; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15-16, 2020, Revised Selected Papers, 2020)

Workshop 7: HPBDC High-Performance Big Data and Cloud Computing - Xiaoyi Lu; Jianfeng Zhan (2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020, 2020)

Benchmarking, Measuring, and Optimizing - Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14-16, 2019, Revised Selected Papers - Wanling Gao; Jianfeng Zhan; Geoffrey C. Fox; Xiaoyi Lu; Dan Stanzione (Springer, 2020)

AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing - Tianshu Hao; Jianfeng Zhan; Kai Hwang; Wanling Gao; Xu Wen (CoRR, 2020)

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite - Wanling Gao; Fei Tang; Jianfeng Zhan; Chuanxin Lan; Chunjie Luo; Lei Wang; Jiahui Dai; Zheng Cao; Xiongwang Xiong; Zihan Jiang; Tianshu Hao; Fanda Fan; et al. (CoRR, 2020)

Extended Batch Normalization - Chunjie Luo; Jianfeng Zhan; Lei Wang; Wanling Gao (CoRR, 2020)

AIBench: An Industry Standard AI Benchmark Suite from Internet Services - Fei Tang; Wanling Gao; Jianfeng Zhan; Chuanxin Lan; Xu Wen; Lei Wang; Chunjie Luo; Jiahui Dai; Zheng Cao; Xingwang Xiong; Zihan Jiang; Tianshu Hao; et al. (CoRR, 2020)

AIBench: Scenario-distilling AI Benchmarking - Wanling Gao; Fei Tang; Jianfeng Zhan; Xu Wen; Lei Wang; Zheng Cao; Chuanxin Lan; Chunjie Luo; Zihan Jiang (CoRR, 2020)

Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices - Chunjie Luo; Xiwen He; Jianfeng Zhan; Lei Wang; Wanling Gao; Jiahui Dai (CoRR, 2020)

Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks - Chunjie Luo; Jianfeng Zhan; Lei Wang; Wanling Gao (CoRR, 2020)

HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems - Zihan Jiang; Lei Wang; Xingwang Xiong; Wanling Gao; Chunjie Luo; Fei Tang; Chuanxin Lan; Hongxiao Li; Jianfeng Zhan (CoRR, 2020)

An Isolated Data Island Benchmark Suite for Federated Learning - Yuan Liang; Yange Guo; Yanxia Gong; Chunjie Luo; Jianfeng Zhan; Yunyou Huang (CoRR, 2020)

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks - Zhifei Zhang; Wanling Gao; Fan Zhang; Yunyou Huang; Shaopeng Dai; Fanda Fan; Jianfeng Zhan; Mengjia Du; Silin Yin; Longxin Xiong; Juan Du; Yumei Cheng; et al. (IEEE Access, 2019)

HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems - Rui Ren; Jiechao Cheng; Xiwen He; Lei Wang; Jianfeng Zhan; Wanling Gao; Chunjie Luo (J. Comput. Sci. Technol., 2019)

Understanding Processors Design Decisions for Data Analytics in Homogeneous Data Centers - Zhen Jia; Wanling Gao; Yingjie Shi; Sally A. McKee; Zhenyan Ji; Jianfeng Zhan; Lei Wang; Lixin Zhang (IEEE Trans. Big Data, 2019)

Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers - Rui Han; Chi Harold Liu; Zan Zong; Lydia Y. Chen; Wending Liu; Siyi Wang; Jianfeng Zhan (IEEE Trans. Parallel Distributed Syst., 2019)

Introduction to HPBDC 2019 - Xiaoyi Lu; Jianfeng Zhan; Dhabaleswar K. Panda (IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, Rio de Janeiro, Brazil, May 20-24, 2019, 2019)

Benchmarking, Measuring, and Optimizing - First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers - Chen Zheng; Jianfeng Zhan (Springer, 2019)

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks - Zhifei Zhang; Wanling Gao; Fan Zhang; Yunyou Huang; Shaopeng Dai; Fanda Fan; Jianfeng Zhan; Mengjia Du; Silin Yin; Longxin Xiong; Juan Du; Yumei Cheng; et al. (CoRR, 2019)

XOS: An Application-Defined Operating System for Data Center Servers - Chen Zheng; Lei Wang; Sally A. McKee; Lixin Zhang; Hainan Ye; Jianfeng Zhan (CoRR, 2019)

A new direction to promote the implementation of artificial intelligence in natural clinical settings - Yunyou Huang; Zhifei Zhang; Nana Wang; Nengquan Li; Mengjia Du; Tianshu Hao; Jianfeng Zhan (CoRR, 2019)

A Semantic-based Medical Image Fusion Approach - Fanda Fan; Yunyou Huang; Lei Wang; Xingwang Xiong; Zihan Jiang; Zhifei Zhang; Jianfeng Zhan (CoRR, 2019)

LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting - Yunyou Huang; Nana Wang; Tianshu Hao; Wanling Gao; Cheng Huang; Jianqing Li; Jianfeng Zhan (CoRR, 2019)

Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking - Tianshu Hao; Yunyou Huang; Xu Wen; Wanling Gao; Fan Zhang; Chen Zheng; Lei Wang; Hainan Ye; Kai Hwang; Zujie Ren; Jianfeng Zhan (CoRR, 2019)

HPC AI500: A Benchmark Suite for HPC AI Systems - Zihan Jiang; Wanling Gao; Lei Wang; Xingwang Xiong; Yuchen Zhang; Xu Wen; Chunjie Luo; Hainan Ye; Yunquan Zhang; Shengzhong Feng; Kenli Li; Weijia Xu; et al. (CoRR, 2019)

AIBench: An Industry Standard Internet Service AI Benchmark Suite - Wanling Gao; Fei Tang; Lei Wang; Jianfeng Zhan; Chunxin Lan; Chunjie Luo; Yunyou Huang; Chen Zheng; Jiahui Dai; Zheng Cao; Daoyi Zheng; Haoning Tang; et al. (CoRR, 2019)

BenchCouncil's View on Benchmarking AI and Other Emerging Workloads - Jianfeng Zhan; Lei Wang; Wanling Gao; Rui Ren (CoRR, 2019)

GraphDuo: A Dual-Model Graph Processing Framework - Xinhui Tian; Jianfeng Zhan (IEEE Access, 2018)

Benchmarking Big Data Systems: A Review - Rui Han; Lizy Kurian John; Jianfeng Zhan (IEEE Trans. Serv. Comput., 2018)

Data motifs: a lens towards fully understanding big data and AI workloads - Wanling Gao; Jianfeng Zhan; Lei Wang; Chunjie Luo; Daoyi Zheng; Fei Tang; Biwei Xie; Chen Zheng; Xu Wen; Xiwen He; Hainan Ye; Rui Ren (Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, PACT 2018, Limassol, Cyprus, November 01-04, 2018, 2018)

AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking - Wanling Gao; Chunjie Luo; Lei Wang; Xingwang Xiong; Jianan Chen; Tianshu Hao; Zihan Jiang; Fanda Fan; Mengjia Du; Yunyou Huang; Fan Zhang; Xu Wen; et al. (Benchmarking, Measuring, and Optimizing - First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers, 2018)

HPC AI500: A Benchmark Suite for HPC AI Systems - Zihan Jiang; Wanling Gao; Lei Wang; Xingwang Xiong; Yuchen Zhang; Xu Wen; Chunjie Luo; Hainan Ye; Xiaoyi Lu; Yunquan Zhang; Shengzhong Feng; Kenli Li; et al. (Benchmarking, Measuring, and Optimizing - First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers, 2018)

Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking - Tianshu Hao; Yunyou Huang; Xu Wen; Wanling Gao; Fan Zhang; Chen Zheng; Lei Wang; Hainan Ye; Kai Hwang; Zujie Ren; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers, 2018)

AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence - Chunjie Luo; Fan Zhang; Cheng Huang; Xingwang Xiong; Jianan Chen; Lei Wang; Wanling Gao; Hainan Ye; Tong Wu; Runsong Zhou; Jianfeng Zhan (Benchmarking, Measuring, and Optimizing - First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers, 2018)

XOS: An Application-Defined Operating System for Datacenter Computing - Chen Zheng; Lei Wang; Sally A. McKee; Lixin Zhang; Hainan Ye; Jianfeng Zhan (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

Deep Convolutional Neural Networks for Log Event Classification on Distributed Cluster Systems - Rui Ren; Jiechao Cheng; Yan Yin; Jianfeng Zhan; Lei Wang; Jinheng Li; Chunjie Luo (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

CVR: efficient vectorization of SpMV on x86 processors - Biwei Xie; Jianfeng Zhan; Xu Liu; Wanling Gao; Zhen Jia; Xiwen He; Lixin Zhang (Proceedings of the 2018 International Symposium on Code Generation and Optimization, CGO 2018, Vösendorf / Vienna, Austria, February 24-28, 2018, 2018)

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks - Chunjie Luo; Jianfeng Zhan; Xiaohe Xue; Lei Wang; Rui Ren; Qiang Yang (Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I, 2018)

AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs - Rui Han; Zan Zong; Lydia Y. Chen; Siyi Wang; Jianfeng Zhan (38th IEEE International Conference on Distributed Computing Systems, ICDCS 2018, Vienna, Austria, July 2-6, 2018, 2018)

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads - Wanling Gao; Jianfeng Zhan; Lei Wang; Chunjie Luo; Zhen Jia; Daoyi Zheng; Chen Zheng; Xiwen He; Hainan Ye; Haibin Wang; Rui Ren (2018 IEEE International Symposium on Workload Characterization, IISWC 2018, Raleigh, NC, USA, September 30 - October 2, 2018, 2018)

Introduction to HPBDC 2018 - Xiaoyi Lu; Jianfeng Zhan; Dhabaleswar K. Panda (2018 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2018, Vancouver, BC, Canada, May 21-25, 2018, 2018)

Cymbalo: An Efficient Graph Processing Framework for Machine Learning - Xinhui Tian; Biwei Xie; Jianfeng Zhan (IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, Melbourne, Australia, December 11-13, 2018, 2018)

BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing - Lei Wang; Jianfeng Zhan; Wanling Gao; Rui Ren; Xiwen He; Chunjie Luo; Gang Lu; Jingwei Li (CoRR, 2018)

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads - Wanling Gao; Lei Wang; Jianfeng Zhan; Chunjie Luo; Daoyi Zheng; Zhen Jia; Biwei Xie; Chen Zheng; Qiang Yang; Haibin Wang (CoRR, 2018)

A veracity preserving model for synthesizing scalable electricity load profiles - Yunyou Huang; Jianfeng Zhan; Chunjie Luo; Lei Wang; Nana Wang; Daoyi Zheng; Fanda Fan; Rui Ren (CoRR, 2018)

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite - Wanling Gao; Jianfeng Zhan; Lei Wang; Chunjie Luo; Daoyi Zheng; Rui Ren; Chen Zheng; Gang Lu; Jingwei Li; Zheng Cao; Shujie Zhang; Haoning Tang (CoRR, 2018)

Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads - Wanling Gao; Jianfeng Zhan; Lei Wang; Chunjie Luo; Daoyi Zheng; Fei Tang; Biwei Xie; Chen Zheng; Xu Wen; Xiwen He; Hainan Ye; Rui Ren (CoRR, 2018)

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads - Wanling Gao; Jianfeng Zhan; Lei Wang; Chunjie Luo; Zhen Jia; Daoyi Zheng; Chen Zheng; Xiwen He; Hainan Ye; Haibin Wang; Rui Ren (CoRR, 2018)

Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster - Rui Ren; Jinheng Li; Lei Wang; Jianfeng Zhan; Zheng Cao (CoRR, 2018)

Clustering Residential Electricity Load Curves via Community Detection in Network - Yunyou Huang; Jianfeng Zhan; Nana Wang; Chunjie Luo; Lei Wang; Rui Ren (CoRR, 2018)

Understanding Big Data Analytics Workloads on Modern Processors - Zhen Jia; Jianfeng Zhan; Lei Wang; Chunjie Luo; Wanling Gao; Yi Jin; Rui Han; Lixin Zhang (IEEE Trans. Parallel Distributed Syst., 2017)

CLAP: Component-Level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services - Rui Han; Siguang Huang; Zhentao Wang; Jianfeng Zhan (IEEE Trans. Parallel Distributed Syst., 2017)

Towards memory and computation efficient graph processing on spark - Xinhui Tian; Yuanqing Guo; Jianfeng Zhan; Lei Wang (2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017, 2017)

Introduction to HPBDC Workshop - Xiaoyi Lu; Jianfeng Zhan; Dhabaleswar K. Panda (2017 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2017, Orlando / Buena Vista, FL, USA, May 29 - June 2, 2017, 2017)

BigDataBench-S: An Open-Source Scientific Big Data Benchmark Suite - Xinhui Tian; Shaopeng Dai; Zhihui Du; Wanling Gao; Rui Ren; Yaodong Cheng; Zhifei Zhang; Zhen Jia; Peijian Wang; Jianfeng Zhan (2017 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2017, Orlando / Buena Vista, FL, USA, May 29 - June 2, 2017, 2017)

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning - Rui Han; Fan Zhang; Lydia Y. Chen; Jianfeng Zhan (2017 IEEE Real-Time Systems Symposium, RTSS 2017, Paris, France, December 5-8, 2017, 2017)

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks - Chunjie Luo; Jianfeng Zhan; Lei Wang; Qiang Yang (CoRR, 2017)

A Dwarf-based Scalable Big Data Benchmarking Methodology - Wanling Gao; Lei Wang; Jianfeng Zhan; Chunjie Luo; Daoyi Zheng; Zhen Jia; Biwei Xie; Chen Zheng; Qiang Yang; Haibin Wang (CoRR, 2017)

HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems - Rui Ren; Jiechao Cheng; Xiwen He; Lei Wang; Chunjie Luo; Jianfeng Zhan (CoRR, 2017)

SARP: Synopsis-Based Approximate Request Processing for Low Latency and Small Correctness Loss in Cloud Online Services - Rui Han; Jianfeng Zhan; José Luis Vázquez-Poletti (Int. J. Parallel Program., 2016)

Pipelining image compositing in heterogeneous networking environments - Ning Liu; Dengming Zhu; Zhaoqi Wang; Hong Qin; Jianfeng Zhan; Jinzhu Gao (Comput. Animat. Virtual Worlds, 2016)

Auto-tuning Spark Big Data Workloads on POWER8: Prediction-Based Dynamic SMT Threading - Zhen Jia; Chao Xue; Guancheng Chen; Jianfeng Zhan; Lixin Zhang; Yonghua Lin; H. Peter Hofstee (Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, PACT 2016, Haifa, Israel, September 11-15, 2016, 2016)

BDTUne: Hierarchical correlation-based performance analysis and rule-based diagnosis for big data systems - Rui Ren; Zhen Jia; Lei Wang; Jianfeng Zhan; Tianxu Yi (2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016, 2016)

Understanding Data Analytics Workloads on Intel(R) Xeon Phi(R) - Biwei Xie; Xu Liu; Sally A. McKee; Jianfeng Zhan; Zhen Jia; Lei Wang; Lixin Zhang (18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, Sydney, Australia, December 12-14, 2016, 2016)

Characterizing OS Behaviors of Datacenter and Big Data Workloads - Chen Zheng; Jianfeng Zhan; Zhen Jia; Lixin Zhang (18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, Sydney, Australia, December 12-14, 2016, 2016)

AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services - Rui Han; Siguang Huang; Fei Tang; Fu-Gui Chang; Jianfeng Zhan (45th International Conference on Parallel Processing, ICPP 2016, Philadelphia, PA, USA, August 16-19, 2016, 2016)

HPBDC Introduction and Committees - Dhabaleswar K. Panda; Jianfeng Zhan; Xiaoyi Lu (2016 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2016, Chicago, IL, USA, May 23-27, 2016, 2016)

Characterization and architectural implications of big data workloads - Lei Wang; Rui Ren; Jianfeng Zhan; Zhen Jia (2016 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2016, Uppsala, Sweden, April 17-19, 2016, 2016)

Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers - Jianfeng Zhan; Rui Han; Roberto V. Zicari (Springer, 2016)

On Horizontal Decomposition of the Operating System - Gang Lu; Jianfeng Zhan; Xinlong Lin; Chongkang Tan; Lei Wang (CoRR, 2016)

AccuracyTrader: Accuracy-aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services - Rui Han; Siguang Huang; Fei Tang; Fu-Gui Chang; Jianfeng Zhan (CoRR, 2016)

10-millisecond Computing - Gang Lu; Jianfeng Zhan; Tianshu Hao; Lei Wang (CoRR, 2016)

PowerTracer: Tracing Requests in Multi-Tier Services to Reduce Energy Inefficiency - Gang Lu; Jianfeng Zhan; Haining Wang; Lin Yuan; Yunwei Gao; Chuliang Weng; Yong Qi (IEEE Trans. Computers, 2015)

TSAC: Enforcing Isolation ofVirtual Machines in Clouds - Chuliang Weng; Jianfeng Zhan; Yuan Luo (IEEE Trans. Computers, 2015)

SARP: producing approximate results with small correctness losses for cloud interactive services - Rui Han; Junwei Wang; Fengming Ge; José Luis Vázquez-Poletti; Jianfeng Zhan (Proceedings of the 12th ACM International Conference on Computing Frontiers, CF'15, Ischia, Italy, May 18-21, 2015, 2015)

Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services - Rui Han; Junwei Wang; Siguang Huang; Chenrong Shao; Shulin Zhan; Jianfeng Zhan; José Luis Vázquez-Poletti (35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015, Columbus, OH, USA, June 29 - July 2, 2015, 2015)

PCS: Predictive Component-Level Scheduling for Reducing Tail Latency in Cloud Online Services - Rui Han; Junwei Wang; Siguang Huang; Chenrong Shao; Shulin Zhan; Jianfeng Zhan; José Luis Vázquez-Poletti (44th International Conference on Parallel Processing, ICPP 2015, Beijing, China, September 1-4, 2015, 2015)

Characterizing Data Analytics Workloads on Intel Xeon Phi - Biwei Xie; Xu Liu; Jianfeng Zhan; Zhen Jia; Yuqing Zhu; Lei Wang; Lixin Zhang (2015 IEEE International Symposium on Workload Characterization, IISWC 2015, Atlanta, GA, USA, October 4-6, 2015, 2015)

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads - Rui Han; Shulin Zhan; Chenrong Shao; Junwei Wang; Jiangtao Xu; Lizy K. John; Lei Wang; Jianfeng Zhan (CoRR, 2015)

Understanding Big Data Analytic Workloads on Modern Processors - Zhen Jia; Lei Wang; Jianfeng Zhan; Lixin Zhang; Chunjie Luo; Ninghui Sun (CoRR, 2015)

Identifying Dwarfs Workloads in Big Data Analytics - Wanling Gao; Chunjie Luo; Jianfeng Zhan; Hainan Ye; Xiwen He; Lei Wang; Yuqing Zhu; Xinhui Tian (CoRR, 2015)

Characterization and Architectural Implications of Big Data Workloads - Lei Wang; Jianfeng Zhan; Zhen Jia; Rui Han (CoRR, 2015)

PCS: Predictive Component-level Scheduling for Reducing Tail Latency in Cloud Online Services - Rui Han; Junwei Wang; Siguang Huang; Chenrong Shao; Shulin Zhan; Jianfeng Zhan; José Luis Vázquez-Poletti (CoRR, 2015)

An Automatic Framework for Detecting and Characterizing Performance Degradation of Software Systems - Pengfei Zheng; Yong Qi; Yangfan Zhou; Pengfei Chen; Jianfeng Zhan; Michael R. Lyu (IEEE Trans. Reliab., 2014)

Digging deeper into cluster system logs for failure prediction and root cause diagnosis - Xiaoyu Fu; Rui Ren; Sally A. McKee; Jianfeng Zhan; Ninghui Sun (2014 IEEE International Conference on Cluster Computing, CLUSTER 2014, Madrid, Spain, September 22-26, 2014, 2014)

BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework - Yuqing Zhu; Jianfeng Zhan; Chuliang Weng; Raghunath Nambiar; Jinchao Zhang; Xingzhen Chen; Lei Wang (Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part II, 2014)

BigDataBench: A big data benchmark suite from internet services - Lei Wang; Jianfeng Zhan; Chunjie Luo; Yuqing Zhu; Qiang Yang; Yongqiang He; Wanling Gao; Zhen Jia; Yingjie Shi; Shujie Zhang; Chen Zheng; Gang Lu; et al. (20th IEEE International Symposium on High Performance Computer Architecture, HPCA 2014, Orlando, FL, USA, February 15-19, 2014, 2014)

Characterizing and subsetting big data workloads - Zhen Jia; Jianfeng Zhan; Lei Wang; Rui Han; Sally A. McKee; Qiang Yang; Chunjie Luo; Jingwei Li (2014 IEEE International Symposium on Workload Characterization, IISWC 2014, Raleigh, NC, USA, October 26-28, 2014, 2014)

Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014, Revised Selected Papers - Jianfeng Zhan; Rui Han; Chuliang Weng (Springer, 2014)

BigDataBench: a Big Data Benchmark Suite from Internet Services - Lei Wang; Jianfeng Zhan; Chunjie Luo; Yuqing Zhu; Qiang Yang; Yongqiang He; Wanling Gao; Zhen Jia; Yingjie Shi; Shujie Zhang; Chen Zheng; Gang Lu; et al. (CoRR, 2014)

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking - Zijian Ming; Chunjie Luo; Wanling Gao; Rui Han; Qiang Yang; Lei Wang; Jianfeng Zhan (CoRR, 2014)

BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework - Yuqing Zhu; Jianfeng Zhan; Chuliang Weng; Raghunath Nambiar; Jinchao Zhang; Xingzhen Chen; Lei Wang (CoRR, 2014)

Characterizing and Subsetting Big Data Workloads - Zhen Jia; Jianfeng Zhan; Lei Wang; Rui Han; Sally A. McKee; Qiang Yang; Chunjie Luo; Jingwei Li (CoRR, 2014)

Cost-Aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers - Jianfeng Zhan; Lei Wang; Xiaona Li; Weisong Shi; Chuliang Weng; Wenyao Zhang; Xiutao Zang (IEEE Trans. Computers, 2013)

Parallel Streamline Placement for 2D Flow Fields - Wenyao Zhang; Yi Wang; Jianfeng Zhan; Beichen Liu; Jianguo Ning (IEEE Trans. Vis. Comput. Graph., 2013)

A Relationship-Based VM Placement Framework of Cloud Environment - Xiaodong Zhang; Ying Zhang; Xing Chen; Kai Liu; Gang Huang; Jianfeng Zhan (37th Annual IEEE Computer Software and Applications Conference, COMPSAC 2013, Kyoto, Japan, July 22-26, 2013, 2013)

Characterizing data analysis workloads in data centers - Zhen Jia; Lei Wang; Jianfeng Zhan; Lixin Zhang; Chunjie Luo (Proceedings of the IEEE International Symposium on Workload Characterization, IISWC 2013, Portland, OR, USA, September 22-24, 2013, 2013)

Multi-scale Entropy: One Metric of Software Aging - Pengfei Chen; Yong Qi; Pengfei Zheng; Jianfeng Zhan; Yihan Wu (Seventh IEEE International Symposium on Service-Oriented System Engineering, SOSE 2013, San Francisco, CA, USA, March 25-28, 2013, 2013)

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking - Zijian Ming; Chunjie Luo; Wanling Gao; Rui Han; Qiang Yang; Lei Wang; Jianfeng Zhan (Advancing Big Data Benchmarks - Proceedings of the 2013 Workshop Series on Big Data Benchmarking, WBDB.cn, Xi'an, China, July 16-17, 2013 and WBDB.us, San José, CA, USA, October 9-10, 2013 Revised Selected Papers, 2013)

BigDataBench: a Big Data Benchmark Suite from Web Search Engines - Wanling Gao; Yuqing Zhu; Zhen Jia; Chunjie Luo; Lei Wang; Zhiguo Li; Jianfeng Zhan; Yong Qi; Yongqiang He; Shimin Gong; Xiaona Li; Shujie Zhang; et al. (CoRR, 2013)

The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems - Zhen Jia; Runlin Zhou; Chunge Zhu; Lei Wang; Wanling Gao; Yingjie Shi; Jianfeng Zhan; Lixin Zhang (CoRR, 2013)

Characterizing Data Analysis Workloads in Data Centers - Zhen Jia; Lei Wang; Jianfeng Zhan; Lixin Zhang; Chunjie Luo (CoRR, 2013)

CloudRank-D: benchmarking and ranking cloud computing systems for data processing applications - Chunjie Luo; Jianfeng Zhan; Zhen Jia; Lei Wang; Gang Lu; Lixin Zhang; Cheng-Zhong Xu; Ninghui Sun (Frontiers Comput. Sci., 2012)

Performance analysis and optimization of MPI collective operations on multi-core clusters - Bibo Tu; Jianping Fan; Jianfeng Zhan; Xiaofang Zhao (J. Supercomput., 2012)

In Cloud, Can Scientific Communities Benefit from the Economies of Scale? - Lei Wang; Jianfeng Zhan; Weisong Shi; Yi Liang (IEEE Trans. Parallel Distributed Syst., 2012)

Precise, Scalable, and Online Request Tracing for Multitier Services of Black Boxes - Bo Sang; Jianfeng Zhan; Gang Lu; Haining Wang; Dongyan Xu; Lei Wang; Zhihong Zhang; Zhen Jia (IEEE Trans. Parallel Distributed Syst., 2012)

PowerTracer: tracing requests in multi-tier services to diagnose energy inefficiency - Gang Lu; Jianfeng Zhan; Haining Wang; Lin Yuan; Chuliang Weng (9th International Conference on Autonomic Computing, ICAC'12, San Jose, CA, USA, September 16 - 20, 2012, 2012)

High Volume Throughput Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers - Jianfeng Zhan; Lixin Zhang; Ninghui Sun; Lei Wang; Zhen Jia; Chunjie Luo (26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, IPDPS 2012, Shanghai, China, May 21-25, 2012, 2012)

LogMaster: Mining Event Correlations in Logs of Large-Scale Cluster Systems - Xiaoyu Fu; Rui Ren; Jianfeng Zhan; Wei Zhou; Zhen Jia; Gang Lu (IEEE 31st Symposium on Reliable Distributed Systems, SRDS 2012, Irvine, CA, USA, October 8-11, 2012, 2012)

The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems - Zhen Jia; Runlin Zhou; Chunge Zhu; Lei Wang; Wanling Gao; Yingjie Shi; Jianfeng Zhan; Lixin Zhang (Specifying Big Data Benchmarks - First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers, 2012)

High Volume Throughput Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers - Jianfeng Zhan; Lixin Zhang; Ninghui Sun; Lei Wang; Zhen Jia; Chunjie Luo (CoRR, 2012)

Automatic performance debugging of SPMD-style parallel programs - Xu Liu; Jianfeng Zhan; Kunlin Zhan; Weisong Shi; Lin Yuan; Dan Meng; Lei Wang (J. Parallel Distributed Comput., 2011)

Characterization of real workloads of web search engines - Huafeng Xi; Jianfeng Zhan; Zhen Jia; Xuehai Hong; Lei Wang; Lixin Zhang; Ninghui Sun; Gang Lu (Proceedings of the 2011 IEEE International Symposium on Workload Characterization, IISWC 2011, Austin, TX, USA, November 6-8, 2011, 2011)

A Runtime Fault Detection Method for HPC Cluster - Linping Wu; Hongbing Luo; Jianfeng Zhan; Dan Meng (12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011, Gwangju, Korea, October 20-22, 2011, 2011)

Automatic Performance Debugging of SPMD-style Parallel Programs - Xu Liu; Jianfeng Zhan; Kunlin Zhan; Weisong Shi; Lin Yuan; Dan Meng; Lei Wang (CoRR, 2011)

Transformer: A New Paradigm for Building Data-Parallel Programming Models - Peng Wang; Dan Meng; Jizhong Han; Jianfeng Zhan; Bibo Tu; Xiaofeng Shi; Le Wan (IEEE Micro, 2010)

Online Event Correlations Analysis in System Logs of Large-Scale Cluster Systems - Wei Zhou; Jianfeng Zhan; Dan Meng; Zhihong Zhang (Network and Parallel Computing, IFIP International Conference, NPC 2010, Zhengzhou, China, September 13-15, 2010. Proceedings, 2010)

A Case Study for SOA System Rejuvenation - Guanhua Tian; Jianfeng Zhan; Chao Ren; Dan Meng (Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2010, Las Vegas, Nevada, USA, July 12-15, 2010, 2 Volumes, 2010)

Automatic Performance Debugging of SPMD Parallel Programs - Xu Liu; Lin Yuan; Jianfeng Zhan; Bibo Tu; Dan Meng (CoRR, 2010)

LogMaster: Mining Event Correlations in Logs of Large scale Cluster Systems - Wei Zhou; Jianfeng Zhan; Dan Meng; Dongyan Xu; Zhihong Zhang (CoRR, 2010)

Precise Request Tracing and Performance Debugging for Multi-tier Services of Black Boxes - Zhihong Zhang; Jianfeng Zhan; Yong Li; Lei Wang; Dan Meng; Bo Sang (CoRR, 2010)

PhoenixCloud: Provisioning Resources for Heterogeneous Cloud Workloads - Jianfeng Zhan; Lei Wang; Weisong Shi; Shimin Gong; Xiutao Zang (CoRR, 2010)

Decreasing log data of multi-tier services for effective request tracing - Bo Sang; Jianfeng Zhan; Guanhua Tian (CoRR, 2010)

In Cloud, Do MTC or HTC Service Providers Benefit from the Economies of Scale? - Lei Wang; Jianfeng Zhan; Weisong Shi; Yi Liang; Lin Yuan (CoRR, 2010)

Scalable Group Management in Large-Scale Virtualized Clusters - Wei Zhou; Lei Wang; Dan Meng; Lin Yuan; Jianfeng Zhan (CoRR, 2010)

In Cloud, Can Scientific Communities Benefit from the Economies of Scale? - Lei Wang; Jianfeng Zhan; Weisong Shi; Yi Liang (CoRR, 2010)

PhoenixCloud: Provisioning Resources for Heterogeneous Workloads in Cloud Computing - Jianfeng Zhan; Lei Wang; Weisong Shi; Shimin Gong; Xiutao Zang (CoRR, 2010)

Precise, Scalable and Online Request Tracing for Multi-tier Services of Black Boxes - Bo Sang; Jianfeng Zhan; Zhihong Zhang; Lei Wang; Dongyan Xu; Yabing Huang; Dan Meng (CoRR, 2010)

PowerTracer: Tracing requests in multi-tier services to save cluster power consumption - Lin Yuan; Jianfeng Zhan; Bo Sang; Lei Wang; Haining Wang (CoRR, 2010)

Precise request tracing and performance debugging for multi-tier services of black boxes - Zhihong Zhang; Jianfeng Zhan; Yong Li; Lei Wang; Dan Meng; Bo Sang (Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009, Estoril, Lisbon, Portugal, June 29 - July 2, 2009, 2009)

Accurate Analytical Models for Message Passing on Multi-core Clusters - Bibo Tu; Jianping Fan; Jianfeng Zhan; Xiaofang Zhao (Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009, Weimar, Germany, 18-20 Febuary 2009, 2009)

In cloud, do MTC or HTC service providers benefit from the economies of scale? - Lei Wang; Jianfeng Zhan; Weisong Shi; Yi Liang; Lin Yuan (Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, MTAGS 2009, November 16, 2009, Portland, Oregon, USA, 2009)

Similarity Analysis in Automatic Performance Debugging of SPMD Parallel Programs - Xu Liu; Jianfeng Zhan; Bibo Tu; Ming Zou; Dan Meng (CoRR, 2009)

Multidimensional Analysis of System Logs in Large-scale Cluster Systems - Wei Zhou; Jianfeng Zhan; Dan Meng (CoRR, 2009)

Phoenix Cloud : Consolidating Heterogeneous Workloads of Large Organizations on Cloud Computing Platforms - Jianfeng Zhan; Lei Wang; Bibo Tu; Yong Li; Peng Wang; Wei Zhou; Dan Meng (CoRR, 2009)

Multi-core aware optimization for MPI collectives - Bibo Tu; Ming Zou; Jianfeng Zhan; Xiaofang Zhao; Jianping Fan (Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September - 1 October 2008, Tsukuba, Japan, 2008)

A Performance Model for Domino Mail Server - Yi Liang; Lei Wang; Jianfeng Zhan; Ruihua Di (International Conference on Computer Science and Software Engineering, CSSE 2008, Volume 3: Grid Computing / Distributed and Parallel Computing / Information Security, December 12-14, 2008, Wuhan, China, 2008)

Design Techniques for the Scalability of Cluster Management Software on Dawning Supercomputers - Bibo Tu; Ming Zou; Jianfeng Zhan; Jianping Fan (IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2008, Sydney, NSW, Australia, December 10-12, 2008, 2008)

A Fast-Start, Fault-Tolerant MPI Launcher on Dawning Supercomputers - Xu Liu; Bibo Tu; Jianfeng Zhan; Dan Meng (Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2008, Dunedin, Otago, New Zealand, 1-4 December 2008, 2008)

A Dynamic Provisioning Framework for Multi-tier Internet Applications in Virtualized Data Center - Yi Jin; Xu Liu; Jianfeng Zhan; Shuang Gao (Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2008, Dunedin, Otago, New Zealand, 1-4 December 2008, 2008)

A layered design methodology of cluster system stack - Jianfeng Zhan; Lei Wang; Bibo Tu; Zhihong Zhang; Yu Wen; Yuansheng Chen; Wei Zhou; Dan Meng; Ninghui Sun (Proceedings of the 2007 IEEE International Conference on Cluster Computing, 17-20 September 2007, Austin, Texas, USA, 2007)

Grid Unit: A Self-Managing Building Block for Grid System - Jianfeng Zhan; Lei Wang; Ming Zou; Hui Wang; Shuang Gao; Yulei Ding (Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007), 3-6 December 2007, Adelaide, Australia, 2007)

Theory of commercial application management system and its implementation - AMPS - Chao Ren; Dan Meng; Danjun Liu; Jianfeng Zhan (Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, as part of the 25th IASTED International Multi-Conference on Applied Informatics, February 13-15 2007, Innsbruck, Austria, 2007)

The design methodology of Phoenix cluster system software stack - Jianfeng Zhan; Lei Wang; Bibo Tu; Hui Wang; Zhihong Zhang; Yi Jin; Yu Wen; Yuansheng Chen; Peng Wang; Bizhu Qiu; Dan Meng; Ninghui Sun (CHINA HPC 2007, Proceedings of the Asian Technology Information Program's (ATIP's) Third Workshop on High-Performance Computing in China: "Solution Approaches to Impediments for High Performance Computing", Supercomputing 2007 (SC07), November 11, 2007, Reno, Nevada, USA, 2007)

PhoenixG: A Unified Management Framework for Industrial Information Grid - Jianfeng Zhan; Gengpu Liu; Lei Wang; Bibo Tu; Yi Jin; Yang Li; Yan Hao; Xuehai Hong; Dan Meng; Ninghui Sun (Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 16-19 May 2006, Singapore, 2006)

A Failure-Aware Scheduling Strategy in Large-Scale Cluster System - Linping Wu; Dan Meng; Jianfeng Zhan; Lei Wang; Bibo Tu (Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 16-19 May 2006, Singapore, 2006)

An Integrated Adaptive Management System for Cluster-based Web Services - Ying Jiang; Dan Meng; Chao Ren; Jianfeng Zhan (Proceedings of the 2006 IEEE International Conference on Cluster Computing, September 25-28, 2006, Barcelona, Spain, 2006)

A proactive fault-detection mechanism in large-scale cluster systems - Linping Wu; Dan Meng; Wen Gao; Jianfeng Zhan (20th International Parallel and Distributed Processing Symposium (IPDPS 2006), Proceedings, 25-29 April 2006, Rhodes Island, Greece, 2006)

Easy and reliable cluster management: the self-management experience of Fire Phoenix - Zhihong Zhang; Dan Meng; Jianfeng Zhan; Lei Wang; Linping Wu; Huang Wei (20th International Parallel and Distributed Processing Symposium (IPDPS 2006), Proceedings, 25-29 April 2006, Rhodes Island, Greece, 2006)

The Failure-rate Aware Scheduling Policies for Large-scale Cluster Systems - Linping Wu; Chao Ren; Dan Meng; Jianfeng Zhan; Bibo Tu (Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2006), 4-7 December 2006, Taipei, Taiwan, 2006)

Design Patterns of Scalable Cluster System Software - Bibo Tu; Ming Zou; Jianfeng Zhan; Lei Wang; Jianping Fan (Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2006), 4-7 December 2006, Taipei, Taiwan, 2006)

Adaptive Management of a Utility Computing - Ying Jiang; Dan Meng; Yi Liang; Danjun Liu; Jianfeng Zhan (2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26 - 30, 2005, Boston, Massachusetts, USA, 2005)

Fire Phoenix Cluster Operating System Kernel and its Evaluation - Jianfeng Zhan; Ninghui Sun (2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26 - 30, 2005, Boston, Massachusetts, USA, 2005)

A Formal Method for Modeling and Managing Large-Scale Distributed Applications - Danjun Liu; Jie Ma; Jianfeng Zhan; Ying Jiang (International Conference on Parallel and Distributed Computing Systems, PDCS 2005, November 14-16, 2005, Phoenix, AZ, USA, 2005)