李肯立，湖南大学校长助理，信息科学与工程学院院长，国家超算长沙中心主任，宝钢优秀教师，Elsevier中国高被引****，享受国务院政府特殊津贴，********、国家****科学基金获得者、****科技创新领军人才。教育部高效能计算学科创新引智基地负责人、高性能计算应用软件教育部工程研究中心主任。国家超级计算创新联盟副理事长、新一代人工智能产业技术创新联盟专家委员会委员、IEEE高级会员、CCF杰出会员、CCF长沙主席、IEEE-TC/TSUSC/TII副编辑。主持国家重点研发计划、国自科重点项目等国家和省部级项目40余项。以排名第一获得国家科技进步二等奖、湖南省自然科学一等奖/技术发明一等奖/科技进步一等奖/专利奖一等奖等各1项，获国家科技进步一等奖创新团队奖(排名13)。主要研究领域为并行与分布式处理、超级计算与云计算、面向大数据和人工智能的高效能计算等。在国内外高水平计算机学术刊物和会议上发表论文300余篇，其中CCF推荐A类会议或IEEE/ACM汇刊论文近100篇。获授权专利和软件著作权共30余项。
中文名： 李肯立 英文名：
学历： 博士 职称： 教授
联系电话： 电子邮件： lkl@hnu.edu.cn
研究方向： 并行分布式处理、超级计算与云计算、面向大数据和人工智能的高效能计算
联系地址： 湖南省长沙市岳麓区湖南大学信息科学与工程学院（410082）
所属机构： 学院领导 计算机科学系 学院教师
联系方式
CONTACT INFORMATION
lEmail: lkl@hnu.edu.cn;lkl510@263.net
lOfficeTel:+86-
lFax:+86-
lMailing address and zip code:College of Information Science and Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, Hunan Province, P. R. China,410082
基本情况
NATIONALITY
lPeople’s Republic of
Professional Title
lPh.D.
lCheung KongProfessor
lDoctoral Supervisor
DUTY
lDirector of National Supercomputing Center in Changsha, Hunan, Changsha
lDean of College of Information Science and Engineering in Hunan University
lSeniorMemberof the IEEE, Senior Menber of the IEEE-TCDP
lDeputy President of the Supercomputing Innovation Allication
lDistinguished Member of the China Computer Federation (CCF)
lMember of the Technical Committee of High Performance Computing of the CCF
lExecutive Member of Mathematical Software Branch of China Software Industry Association
lSecretary-general of the Hunan Provincial Computer Federation
lVice Chairof Changsha Branch of the CCF
lChair of Young Computer Scientists and Engineers Forum (YOCSEF) of the CCF (2011-2012)
RESEARCH INTERESTS
lParallel and Distributed Processing
lCloud Computing and Supercomputing
lBig Data Management
lArtificial Intelligence
lScheduling Algorithms
lBiological Computing
lComputer Simulation
lSeismic Data Processing and Visualization
EDUCATION
l Ph.D., Computer Software and Theory, Huazhong Universityof Science and Technology, China,November 2003
WORK EXPERIENCE
lProfessor:July 2007-, College of Information Science and Engineering, Hunan University, P. R.China
lDoctoral Supervisor:September 2008-, College of Information Science and Engineering, HunanUniversity, P. R. China
lVisiting Scholar:July 2004-June 2005, University of Illinois at Champaign-Urbana, NationalCenter for Supercomputer Applications, Champaign-Urbana, USA
lAssociate Professor:July 2004-June 2007, College of Computer and Communication, HunanUniversity, P. R. China
lLecturer:November 2003-June 2004, College of Computer and Communication, HunanUniversity, P. R. China
ORGANIZING INTERNATIONAL CONFERENCE
lServed as Program Chair of the2019 High Performance Computing and Communications (HPCC 2019), Zhangjiajie, China
lServed as Publication Chair of the2016 12th International Conference on NaturalComputation, Fuzzy Systems and Knowledge Discovery (ICNCFSKD2016), Changsha,China
lServed as General Chair of the11th International Conference on Natural Computation(ICNC 2015)/the 12th International Conference on FuzzySystems and Knowledge Discovery (FSKD 2015), Zhangjiajie,China
lServed as Program Chair of the15th International Conference on Algorithms andArchitectures for Parallel Processing (ICA3PP 2015), Zhangjiajie, China
lServed as Publicity Chair of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015), Shenzhen, China
lServed as Vice Chair of the 25th International Conference on Parallel Computational Fluid Dynamics (ParCFD 2013),
lServed as Vice Chair of the National High Performance Computing Annual Conference (HPC-China 2012), Zhangjiajie, China
lServed as Chair of the 6th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2011),
lServed as Member of Program Committee of ICPP 2014, NPC2015, PAAP 2014, PAAP 2013,etc.
HONORS AND AWARDS
lThe Second Award ofNational Scientific and Technological Progress Award, the prime principalof this project
lThe First Award of Technological Invention Awardof Hunan Province, the prime principalof this project
lThe First Award of Science and Technology Development of Hunan Province, the prime principalof this project
lThe Second Award of Natural science of Hunan Province, the prime principal of this project
lThe Second Award for Science & Technology Development/Achievement of the Ministry of Education, the prime principal of this project
lThe Second Award of Teaching Achievement Award of Hunan Province, the prime principal of this project
RECENT PROFESSIONAL ACTIVITIES
lThe Principal Guest Editor of the special issue of IEEE Internet of Things Journal, 2019.10
lThe Principal Guest Editor of the special issue of Information Sciences, 2019.9
lThe Principal Guest Editor of the special issue of International Journal of Fuzzy Systems, 2018.10
lThe Principal Guest Editor of the special issue of Neurocomputing, 2017.12
lThe Principal Guest Editor of the special issue of Journal of Computer and System Sciences, 2016.12
lThe Principal Guest Editor of the special issue of International Journal of Pattern Recognition and Artificial Intelligence, 2015.12
lThe Principal Guest Editor of the special issue of Concurrency and Computation-Practice & Experience,2015.12
lThe Principal Guest Editor of the special issue of Elsevier journal of Computers andFluids, 2014.12
lThe Principal Guest Editor of the special issue of Elsevier Procedia Engineering, 2013.5
lThe Principal Guest Editor of the special issue of SpringerCommunications in Computer andInformation Science, 2012.11
lReviewers of more than 30 famous journals, includingIEEE Trans. on Computers,IEEETrans. on Parallel and Distributed Systems,IEEE Trans. on Nanobioscience, IEEE Trans. onCloud Computing, IEEE Trans. on Emerging Topics in Computing, ACM Trans. on EmbeddedComputing Systems, Information Sciences, Journal of Parallel and Distributed Computing, TheJournal of SuperComputing, Parallel Computing, Future Generation ComputerSystems, TheJournal of Grid computing, Frontiers of Computer Science et al.
SELECTED PUBLICATIONS
Published more than 300 technical papers in the above areas, including more than 80 top journals and conferences, such as IEEE-TC, IEEE-TPDS, IEEE-TSP, IEEE-TETC, IEEE-TCS, IEEE-TKDE, VLDBJ, AAAI, ICPP, ICDCS, CIKM, ICDM, etc., where more than 250 papers are cited by SCI-E and 50 papers are cited by EI or ISTP.
学生培养
COURSES TAUGHT
lHigh Performance Computing and Cloud Computing (Ph.D students course)
lParallel Processing (Ph.D students course)
lIntroduction to the Theory of Computation (Master students course)
lDesign and Analysis of Computer Algorithms(Undergraduate students course)
lFundamentals of Compiling (Undergraduate students course)
STUDENTS SUPERVISED
lCurrent Ph.D. students: 9
2019: 邹骁锋; 唐大海
2018:李扬帆;罗文晟
2017:彭继武;刘晓伟
2016:汤超;李昊
2014:费雄伟
lGraduatedPh.D. students: 24
2015: 李闯; 陈岑
2014: 肖国庆; 吴志强;NKUNZIMANA HILAIRE
2013:阳王东;LE ANH DUC;刘楚波;潘果
2012:周旭;李大普;叶钰;梅晶;王艳
2011:郑伟华;徐雨明;余思洋;刘静
2010:张龙信;童钊;朱香元; Ahmed Salah Mohamed
2009:唐小勇;吴帆;Tung Khac Truong
2008: 石林
lCurrent M.Sc. students: 20(2018: 9; 2017: 8; 2016: 3)
lGraduatedM.Sc. students: 72 (2015: 8; 2014: 9; 2013: 15; 2012: 5; 2011: 10; 2010: 5; 2009: 6; 2008: 7; 2007: 7)
AWARDS OFSTUDENTS SUPERVISED
lIn 2018, a PhD student was awarded Chancellor's Scholarship and two PhD students wereawarded National Scholarship
lIn 2017, two PhD student were awarded Chancellor's Scholarship and a PhD student wasawarded National Scholarship
lIn 2016, two PhD students were awarded Chancellor's Scholarship and two PhD students were awarded National Scholarship
lIn 2015, two PhD students were awarded Chancellor's Scholarship and two PhD students were awarded National Scholarship
lIn 2014,a PhD student was awarded Chancellor's Scholarship, three PhD students and one master student were awarded National Scholarship
lIn 2013, a PhD student was awarded Chancellor's Scholarship and four PhD students were awardedNational Scholarship
lIn 2012, a PhD student was awarded National Scholarship
lIn 2009, a master's thesis was evaluated as Model Master Thesis of Hunan Province
科研状况
RESEARCH FUNDINGS, PI
lInternational (Regional) Cooperation and Exchange Program of National Natural Science Foundation of China(Grant NO.:), Title:The Parallel Algorithm and Its Application for Artificial Intelligence Oriented Large-scaleTensor,2,450,000 RMB, 2019.1-2023.12
lNational Key R&D Program of China (Grant NO.:2018YFB**), Title: Research on the Servitization Model and Architecture of High Performance Computing, 9,070,000 RMB, 2018.6-2020.12
lNational Natural Science Foundation of China(Grant NO.:**), Title: HeterogeneousParallel Processing Methods and Platforms forLarge-scale Multimodal Machine Learning,2,200,000 RMB, 2018.1-2020.12
lNationalDistguinshedYouth Scholar Foundation of China (Grant NO.:**), Title: HighEfficient Computation, 4,000,000 RMB, 2017.1-2021.12
lNational Natural Science Foundation of China (Grant NO.:**), Title: HigherOrder Sparse Matrix Vector Multiplication Scalable Heterogeneous Parallel Algorithm and Its Application in Electromagnetic Computation, 850,000 RMB, 2015.1-2018.12
lThe State of International Science and Technology Cooperation Projects, Title: The Management of the Cloud System Based on Heterogeneous Supercomputer, 3,000,000RMB, 2015.1-2017.12
lThe Key Project of National Natural ScienceFoundation of China (Grant No.: **), Title: Efficient Scheduling Theory and Methods of Large-scale Heterogeneous Parallel Systems, 2,800,000 RMB, 2012.1-2016.12.
lSubprojectundertheNationalScienceandTechnologySupportProgram(Grant No.: 2012BAH09B02), Title: Development of Key Technologyfor Resource Center on Super Computing and Cloud Computing and Its Demonstration of Typical Applications, 2,400,000 RMB, 2012.1-2014.12.
lYouth Foundation of Hunan Scientific Committee (Grant No.: 12JJ1011), Title: Efficient Scheduling Algorithms on Large-scale Heterogeneous Parallel Systems, 300,000 RMB, 2012.1-2014.12.
lNational Natural Science Foundation of China (General Program Grant No.: **), Title: Stochastic Scheduling Algorithms on Heterogeneous Multi-core Parallel Systems, 330,000RMB,2011.01 -2013.12.
lProgram for New Century Excellent Talents in University (GrantNo.: NCET-08-0177), Title: Parallel Schedule Strategy for Applications in Seismic Data Processing Based onCredibility, 500,000 RMB,2009.01- 2012.12.
lSupported by the Cultivation Fund of the Key Scientific and Technical Innovation Project,Ministry of Education of China (Grant No.: 708066), Title: A Key Technology Research for Earthquake Monitoring and Early Warning Grid System, 2009.01-2012.12, with Prof. Vania.
lFund Committee “Dynamic catastrophe of critical engineering” Key (Key grant) research programs fostering projects (Grant No.: **), Title: Critical Theory and Technology Research for Earthquake Simulation Support System in Grid Environment, 500,000 RMB, 2008.01-2010.12.
lYouth Fund of National Natural Science Foundation (Grant No.: **), Title：The Research and Exploration of An Extensible DNA Computing Model, 250,000 RMB, 2007.01- 2009.12.
学术论文
一、IEEE/ACM Transactions论文
Cen Chen, Kenli Li*, Sin G Teo, Xiaofeng Zou, Keqin Li, and Zeng Zeng. Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans- actions on Knowledge Discovery from Data, in press, 2020
Mingxing Duan, Kenli Li*, Aijia Ouyang, Khin Nandar Win, Keqin Li, and Qi Tian. EGroupNet: A Feature-enhanced Network for Age Estimation with Novel Age Group Schemes. ACM Transactions on Multimedia Computing, Communications, and Applications, in press, 2020
Mingxing Duan, Kenli Li*, Xiangke Liao, Keqin Li, and Qi Tian. Features-Enhanced Multi-Attribute Estimation with Convolutional Tensor Correlation Fusion Network. ACM Transactions on Multime- dia Computing, Communications, and Applications, in press, 2020
Chubo Liu, Kenli Li*, Jie Liang, and Keqin Li. COOPER-MATCH: Job Offloading with A Cooper- ative Game for Guaranteeing Strict Deadlines in MEC. IEEE Transactions on Mobile Computing, in press, 2020
Chubo Liu, Kenli Li*, Jie Liang, and Keqin Li. COOPER-SCHED: A Cooperative Scheduling Frame- work for Mobile Edge Computing with Expected Deadline Guarantee. IEEE Transactions on Parallel and Distributed Systems, in press, 2020
Jianguo Chen, Kenli Li*, Qingying Deng, Keqin Li, and S Yu Philip. Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing. IEEE Transactions on In- dustrial Informatics, in press, 2020
Guoqing Xiao, Kenli Li*, Yuedan Chen, Wangquan He, Albert Zomaya, and Tao Li. CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight. IEEE Transactions on Parallel and Distributed Systems, in press, 2020
Xiongwei Fei, Kenli Li*, Wangdong Yang, and Keqin Li. Velocity-Aware Parallel Encryption Algorithm with Low Energy Consumption for Streams. IEEE Transactions on Big Data, in press, 2020
Ahmad Salah, Kenli Li*, Qing Liao, Mervat Hashem, Zhiyong Li, Anthony T Chronopoulos, and Albert Y Zomaya. A Time-space Efficient Algorithm for Parallel k-way In-place Merging based on Sequence Partitioning and Perfect Shuffle. ACM Transactions on Parallel Computing, 7(2): 11:1- 11:23, 2020
Wangdong Yang, Kenli Li, and Keqin Li. A Pipeline Computing Method of SpTV for Three-Order Tensors on CPU and GPU. ACM Transactions on Knowledge Discovery from Data, 13(6): 63:1-63:27, 2019
Xu Zhou, Kenli Li*, ZhiBang Yang, and Keqin Li. Finding Optimal Skyline Product Combinations under Price Promotion. IEEE Transactions on Knowledge and Data Engineering, 31(1): 138-151, 2019
Xu Zhou, Kenli Li*, ZhiBang Yang, Guoqing Xiao, and Keqin Li. Progressive Approaches for Pareto Optimal Groups Computation. IEEE Transactions on Knowledge and Data Engineering, 31(3): 521- 534, 2019
Lin Xiao, Kenli Li*, and Mingxing Duan. Computing Time-Varying Quadratic Optimization With Finite-Time Convergence and Noise Tolerance: A Unified Framework for Zeroing Neural Network. IEEE Transactions on Neural Networks and Learning Systems, 30(11): 3360-3369, 2019
Jing Mei, Kenli Li*, Zhao Tong, Qiang Li, and Keqin Li. Profit Maximization for Cloud Brokers in Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, 30(1): 190-203, 2019
Yuedan Chen, Kenli Li*, Wangdong Yang, Guoqing Xiao, Xianghui Xie, and Tao Li. Performance- Aware Model for Sparse Matrix-Matrix Multiplication on the Sunway TaihuLight Supercomputer. IEEE Transactions on Parallel and Distributed Systems, 30(4): 923-938, 2019
Jianguo Chen, Kenli Li*, Kashif Bilal, Xu Zhou, Keqin Li, and Philip S. Yu. A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks. IEEE Transactions on Parallel and Distributed Systems, 30(5): 965-976, 2019
Chubo Liu, Kenli Li*, Jie Liang, and Keqin Li. Service Reliability in an HC: Considering From the Perspective of Scheduling With Load-Dependent Machine Reliability. IEEE Transactions on Reliabil- ity, 68(2): 476-495, 2019
Huailiang Tan, Yanjie Tan, Xiaofei He, Kenli Li, and Keqin Li. A Virtual Multi-Channel GPU Fair Scheduling Method for Virtual Machines. IEEE Transactions on Parallel and Distributed Systems, 30(2): 257-270, 2019
Zhe Quan, Zhi-Jie Wang, Yuquan Le, Bin Yao, Kenli Li, and Jian Yin. An Efficient Framework for Sentence Similarity Modeling. IEEE/ACM Transactions on Audio, Speech and Language Processing, 27(4): 853-865, 2019
Kenli Li*, Jing Mei, and Keqin Li. A Fund Constrained Investment Scheme for Profit Maximization in Cloud Computing. IEEE Transactions on Service Computing, 11(6): 893-907, 2018
Mingxing Duan, Kenli Li*, Xiangke Liao, and Keqin Li. A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine. IEEE Transactions on Neural Networks and Learning Systems, 29(6): 2337-2351, 2018
Cen Chen, Kenli Li*, Aijia Ouyang, and Keqin Li. FlinkCL: An OpenCL-based in-memory comput- ing architecture on heterogeneous CPU-GPU clusters for big data. IEEE Transactions on Computers, 67(12): 1765-1779, 2018
Chubo Liu, Kenli Li*, and Keqin Li. Minimal Cost Server Configuration for Meeting Time-Varying Resource Demands in Cloud Centers. IEEE Transactions on Parallel and Distributed Systems, 29(11): 2503-2513, 2018
Cen Chen, Kenli Li*, Aijia Ouyang, Zhuo Tang, and Keqin Li. GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Transactions on Parallel and Distributed Systems, 29(6): 1275-1288, 2018
Hao Li, Kenli Li*, Jiyao An, and Keqin Li. MSGD: A novel matrix factorization approach for large- scale collaborative filtering recommender systems on GPUs. IEEE Transactions on Parallel and Dis- tributed Systems, 29(7): 1530-1544, 2018
Longxin Zhang, Kenli Li*, Keqin Li. Contention Aware Reliability Efficient Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Sustainable Computing, 3(3): 182-194, 2018
Mingxing Duan, Kenli Li*, and Keqin Li. An ensemble CNN2ELM for age estimation. IEEE Transactions on Information Forensics and Security, 13(3): 758-772, 2018
Yan Wang, Kenli Li*, and Keqin Li. Energy Optimization for Data Allocation with Hybrid SRAM and NVM Local Memory. IEEE Transactions on Circuits and Systems I, 65-I(1): 307-318, 2018
Chubo Liu, Kenli Li*, and Keqin Li. Bargaining game-based scheduling for performance guarantees in cloud computing. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 3(1): 1:1-1:25, 2018
Zhuo Tang, Ying Zhong, Meng Ma, Kenli Li, and Keqin Li. A Self-Adaptive Bell–LaPadula Model Based on Model Training With Historical Access Logs. IEEE Transactions on Information Forensics Security, 13(8): 2047-2061, 2018
Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, and Kenli Li. Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. IEEE Transactions on Information Forensics and Security, 13(11): 2801-2815, 2018
Weihua Zheng, Kenli Li*, Keqin Li, and Hing Cheung So. A Modified Multiple Alignment Fast Fourier Transform with Higher Efficiency. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(3): 634-645, 2017
Jing Liu, Kenli Li*, Dakai Zhu, Jianjun Han, and Keqin Li. Minimizing cost of scheduling tasks on heterogeneous multicore embedded systems. ACM Transactions on Embedded Computing Systems, 16(2): 36:1-36:25, 2017
Cen Chen, Kenli Li*, Aijia Ouyang, Zhuo Tang, and Keqin Li. GPU-Accelerated Parallel Hierar- chical Extreme Learning Machine on Flink for Big Data. IEEE Transactions on Systems, Man and Cybernetics: Systems, 47(10): 2740-2753, 2017
Jing Mei, Kenli Li*, and Keqin Li. Customer-satisfaction-aware optimal multiserver configuration for profit maximization in cloud computing. IEEE Transactions on Sustainable Computing, 2(1): 17-29, 2017
Jianguo Chen, Kenli Li*, Zhuo Tang, Kashif Bilal, Shui Yu, Chuliang Weng, and Keqin Li. A Parallel Random Forest Algorithm for Big Data in Spark Cloud Computing Environment. IEEE Transactions on Parallel and Distributed Systems, 28(4): 919-933, 2017
Xudong Kang, Xiangping Zhang, Shutao Li, Kenli Li, Jun Li, and Jon Atli Benediktsson. Hyperspec- tral Anomaly Detection with Attribute and Edge-Preserving Filters. IEEE Transactions Geoscience and Remote Sensing, 55(10): 5600-5611, 2017
Kenli Li*, Chubo Liu, Keqin Li, and Albert Y. Zomaya. A Framework of Price Bidding Config- urations for Resource Usage in Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, 27(8):2168-2181, 2016
Kenli Li*, Wangdong Yang, and Keqin Li. A Hybrid Parallel Solving Algorithm on GPU for Quasi- Tridiagonal Linear Equations. IEEE Transactions on Parallel and Distributed Systems, 27(10): 2795- 2808, 2016
Chubo Liu, Kenli Li*, Chengzhong Xu, and Keqin Li. Strategy Configurations of Multiple Users Competition for Cloud Service Reservation. IEEE Transactions on Parallel and Distributed Systems, 27(2):508-520, 2016
Ahmad Salah, Kenli Li*, and Keqin Li. Lazy-Merge: An Indexed Parallel K-way In-place Merging Algorithm. IEEE Transactions on Parallel and Distributed Systems, 27(7): 2049-2061, 2016
Xu Zhou, Kenli Li*, Guoqing Xiao, Yantao Zhou, and Keqin Li. Top k Favorite Probabilistic Products Queries. IEEE Transactions on Knowledge and Data Engineering, 28(10):2808-2821, 2016
Xu Zhou, Kenli Li*, Yantao Zhou, and Keqin Li. Adaptive Processing for Distributed Skyline Queries over Uncertain Data. IEEE Transactions on Knowledge and Data Engineering, 28(2):371-384, 2016
Chuliang Weng, Qian Liu, Kenli Li, and Deqing Zou. CloudMon. Monitoring Virtual Machines in Clouds. IEEE Transactions on Computers, 65(12):3787-3793, 2016
Kenli Li*, Xiaoyong Tang, Bharadwaj Veeravalli, and Keqin Li. Scheduling Precedence Constrained Stochastic Tasks on Heterogeneous Cluster Systems. IEEE Transactions on Computers, 64(1):191-204, 2015
Kenli Li*, Wangdong Yang, and Keqin Li. Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling. IEEE Transactions on Parallel and Distributed Systems, 26(1):196- 205, 2015
Kenli Li*, Weihua Zheng, and Keqin Li. A Fast Algorithm With Less Operations for Length- N= q2m DFTs. IEEE Transactions on Signal Processing, 63(3):673-683, 2015
Kenli Li*, Wei Ai, Zhuo Tang, Fan Zhang, Lingang Jiang, Keqin Li, and Kai Hwang. Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields. IEEE Transactions on Parallel and Distributed Systems, 26(11):3040-3051, 2015
Jing Mei, Kenli Li*, Aijia Ouyang, and Keqin Li. A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing. IEEE Transactions on Computers, 64(11):3064-3078, 2015
Yuming Xu, Kenli Li*, Ligang He, Longxin Zhang, and Keqin Li. A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 26(12):3208-3222, 2015
Xiangyuan Zhu, Kenli Li*, and Keqin Li. Parallel Implementation of MAFFT on CUDA-Enabled Graphics Hardware. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(1):205- 218, 2015
Wangdong Yang, Kenli Li*, Zeyao Mo, and Keqin Li. Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs. IEEE Transactions on Computers, 64(9):2623-2636, 2015
Songling Fu, Ligang He, Chenlin Huang, Xiangke Liao, and Kenli Li. Performance Optimization for Managing Massive Numbers of Small Files in Distributed File Systems. IEEE Transactions on Parallel and Distributed Systems, 26(12):3433-3448, 2015
Kenli Li*, Xiaoyong Tang, Keqin Li. Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 25(11):2867-2876, 2014
Yan Wang, Kenli Li*, Hao Chen, Ligang He, and Keqin Li. Energy-aware Data Allocation and Task Scheduling on Heterogeneous Multiprocessor Systems with Time Constraints. IEEE Transactions on Emerging Topics in Computing, 2(2):134-148, 2014
Weihua Zheng, Kenli Li*, and Keqin Li. Scaled Radix-2/8 Algorithm for Efficient Computation of Length N=2m DFTs. IEEE Transactions on Signal Processing, 62(10):2492-2503, 2014
Weihua Zheng, Kenli Li*, and Keqin Li. A Fast Algorithm Based on SRFFT for Length N=2m DFT. IEEE Transactions on Circuits and Systems II, 99(1):1-5, 2014
Hao Chen, Jianhua Sun, Ligang He, and Kenli Li. BAG: Managing GPU as Buffer Cache in Operating Systems. IEEE Transactions on Parallel and Distributed Systems, 25(6):1393-1402, 2014
Shu Yin, Xiaojun Ruan, Adam Manzanares, Xiao Qin, and Kenli Li. MINT: A Reliability Modeling Framework for Energy-Efficient Parallel Disk Systems. IEEE Transactions on Dependable Secure Computing, 11(4):345-360, 2014
Hao Chen, Lin Shi, Jianhua Sun, and Kenli Li. A Fast RPC System for Virtual Machines. IEEE Transactions on Parallel and Distributed Systems, 24(7):1267-1276, 2013
Lin Shi, Hao Chen, Jianhua Sun, and Kenli Li. vCUDA:GPU-accelerated High-performance Com- puting in Virtual Machines. IEEE Transactions on Computers, 61(6):804-816, 2012
Xiaoyong Tang, Kenli Li*, Zeng Zeng, and Bharadwaj Veeravalli. A Novel Security-driven Schedul- ing Algorithm for Precedence Constrained Tasks in Heterogeneous Distributed Systems. IEEE Trans- actions on Computers, 60(7):1027-1029, 2011
二、CCF推荐A/B类会议及其他顶刊论文
Chubo Liu, Kenli Li*, Mingcong Song, Keqin Li, Tao Li, and Zihao Zeng. COEXE: An Efficient Co-execution Architecture for Real-Time Neural Network Services. DAC 2020, in press, 2020
Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang, and Kenli Li. Directional and Explainable Serendipity Recommendation. WWW 2020, pp.122-132
Cen Chen, Kenli Li*, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, and Zeng Zeng. Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI 2019: 485-492
Zhiqiang Wu and Kenli Li*. VBTree: forward secure conjunctive queries over encrypted data for cloud computing. VLDB Journal, 28(1): 25-46, 2019
Chuang Li, Kenli Li*, Tao Chen, Yunping Zhu, and Qiang He. SW-Tandem: a highly efficient tool for large-scale peptide identification with parallel spectrum dot product on Sunway TaihuLight. Bioin- formatics, 35(19): 3861-3863, 2019
Hao Li, Kenli Li*, Ji-yao An, and Keqin Li. CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU. CIKM 2018: 1113-1122
Cen Chen, Kenli Li*, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, and Zeng Zeng. Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898
Longlong Liao, Kenli Li*, Keqin Li, Canqun Yang, and Qi Tian. UHCL-Darknet: An OpenCL-based Deep Neural Network Framework for Heterogeneous Multi-/Many-core Clusters. ICPP 2018: 44:1- 44:10
Ting Ye, Zhi-Jie Wang, Zhe Quan, Song Guo, Kenli Li, and Keqin Li. ISAECC: An Improved Scheduling Approach for Energy Consumption Constrained Parallel Applications on Heterogeneous Distributed Systems. ICPADS 2018: 267-274
Zhe Quan, Xuan Lin, Zhi-Jie Wang, Yan Liu, Fan Wang, and Kenli Li. A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks. BIBM 2018: 728-733
Longlong Liao, Kenli Li*, Keqin Li, Qi Tian, and Canqun Yang. Automatic density clustering with multiple kernels for high-dimension bioinformatics data. BIBM 2017: 2105-2112
Wei Ai, Kenli Li*, Cen Chen, Jiwu Peng, and Keqin Li. DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. ICDCS 2017: 2372-2379
Xiaoyu Zhang, Xiangke Liao, Hao Zhu, Kenli Li, Benyun Shi, and Shaoliang Peng. A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. BIBM 2017: 56-61
Chuang Li, Tao Chen, Qiang He, Yunping Zhu, and Kenli Li*. MRUniNovo: an efficient tool for de novo peptide sequencing utilizing the hadoop distributed computing framework. Bioinformatics, 33(6): 944-946, 2017
Yuanqiang Zou, Zhiqiang Wu, Lizong Deng, Aiping Wu, Fan Wu, Kenli Li, Taijiao Jiang, and Yousong Peng. cooccurNet: an R package for co-occurrence network construction and analysis. Bioinformatics, 33(12): 1881-1882, 2017
Cen Chen, Kenli Li*, Aijia Ouyang, Zhuo Tang, and Keqin Li. GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. ICPP 2016: 542-551
Shu Yin, Zhaoyu Xiao, Kenli Li, Jianzhong Huang, Xiaojun Ruan, Xiaomin Zhu, and Xiao Qin. RESS: A Reliable Energy-Efficient Storage System. ICPADS 2016: 1193-1198
Shu Yin, Xuewu Li, Kenli Li, Jianzhong Huang, Xiaojun Ruan, Xiaomin Zhu, Wei Cao, and Xiao Qin. REED: A Reliable Energy-Efficient RAID. ICPP 2015: 649-658
Huanzhou Zhu, Ligang He, Bo Gao, Kenli Li, Jianhua Sun, Hao Chen, and Keqin Li. Modelling and Developing Co-scheduling Strategies on Multicore Processors. ICPP 2015: 220-229
Xiangyuan Zhu and Kenli Li*. CUDA-MAFFT: Accelerating MAFFT on CUDA-enabled graphics hardware. BIBM 2013: 486-489
Weihua Zheng and Kenli Li*. Split Radix Algorithm for Length 6m DFT. IEEE Signal Processing Letters, 20(7): 713-716, 2013
Kenli Li*, Xiaoyong Tang, and Qifeng Yin. Energy-Aware Scheduling Algorithm for Task Execution Cycles with Normal Distribution on Heterogeneous Computing Systems. ICPP 2012: 40-47
