李肯立
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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中国高被引学者,享受国务院政府特殊津贴,长江学者特聘教授、国家杰出青年科学基金获得者、万人计划科技创新领军人才。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: 0731-88664161 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

    l Email: lkl@hnu.edu.cnlkl510@263.net

    l Office Tel: +86-0731-88664161

    l Fax: +86-0731-88664161

    l Mailing 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

    l People’s Republic of China

    Professional Title

    l Ph.D.

    l Cheung Kong Professor

    l Doctoral Supervisor

    DUTY

    l Director of National Supercomputing Center in Changsha, Hunan, Changsha

    l Dean of College of Information Science and Engineering in Hunan University

    l Senior Member of the IEEE, Senior Menber of the IEEE-TCDP

    l Deputy President of the Supercomputing Innovation Allication

    l Distinguished Member of the China Computer Federation (CCF)

    l Member of the Technical Committee of High Performance Computing of the CCF

    l Executive Member of Mathematical Software Branch of China Software Industry Association

    l Secretary-general of the Hunan Provincial Computer Federation

    l Vice Chair of Changsha Branch of the CCF

    l Chair of Young Computer Scientists and Engineers Forum (YOCSEF) of the CCF (2011-2012)

    RESEARCH INTERESTS

    l Parallel and Distributed Processing

    l Cloud Computing and Supercomputing

    l Big Data Management

    l Artificial Intelligence

    l Scheduling Algorithms

    l Biological Computing

    l Computer Simulation

    l Seismic Data Processing and Visualization

    EDUCATION

    l  Ph.D., Computer Software and Theory, Huazhong Universityof Science and Technology, China, November 2003

    WORK EXPERIENCE

    l Professor: July 2007-, College of Information Science and Engineering, Hunan University, P. R. China

    l Doctoral Supervisor: September 2008-, College of Information Science and Engineering, Hunan University, P. R. China

    l Visiting Scholar: July 2004-June 2005, University of Illinois at Champaign-Urbana, National Center for Supercomputer Applications, Champaign-Urbana, USA

    l Associate Professor: July 2004-June 2007, College of Computer and Communication, Hunan University, P. R. China

    l Lecturer: November 2003-June 2004, College of Computer and Communication, Hunan University, P. R. China

  • ORGANIZING INTERNATIONAL CONFERENCE 

  • l Served as Program Chair of the 2019 High Performance Computing and Communications (HPCC 2019), Zhangjiajie, China

  • l Served as Publication Chair of the 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNCFSKD 2016), Changsha, China

  • l Served as General Chair of the 11th International Conference on Natural Computation (ICNC 2015)/the 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2015), Zhangjiajie, China 

  • l Served as Program Chair of the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), Zhangjiajie, China

  • l Served as Publicity Chair of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015), Shenzhen, China

  • l Served as Vice Chair of the 25th International Conference on Parallel Computational Fluid  Dynamics (ParCFD 2013), ChangshaChina 

  • l Served as Vice Chair of the National High Performance Computing Annual Conference (HPC-China 2012),   Zhangjiajie, China

  • l Served as Chair of the 6th International Conference on Bio-Inspired Computing: Theories and   Applications (BIC-TA 2011), ChangshaChina

  • l Served as Member of Program Committee of ICPP 2014, NPC2015, PAAP 2014, PAAP 2013, etc.

  • HONORS AND AWARDS

  • l The Second Award of National Scientific and Technological Progress Award, the prime principal of this project

  • l The First Award of Technological Invention Award of Hunan Province, the prime principal of this project

  • l The First Award of Science and Technology Development of Hunan Province, the prime principal of this project

  • l The Second Award of Natural science of Hunan Province, the prime principal of this project

  • l The Second Award for Science & Technology Development/Achievement of the Ministry of Education, the prime principal of this project

  • l The Second Award of Teaching Achievement Award of Hunan Province, the prime principal of this project

  • RECENT PROFESSIONAL ACTIVITIES

  • l The Principal Guest Editor of the special issue of IEEE Internet of Things Journal, 2019.10

  • l The Principal Guest Editor of the special issue of Information Sciences, 2019.9

  • l The Principal Guest Editor of the special issue of International Journal of Fuzzy Systems, 2018.10

  • l The Principal Guest Editor of the special issue of  Neurocomputing, 2017.12

  • l The Principal Guest Editor of the special issue of Journal of Computer and System Sciences, 2016.12

  • l The Principal Guest Editor of the special issue of International Journal of Pattern Recognition and Artificial Intelligence, 2015.12

  • l The Principal Guest Editor of the special issue of Concurrency and Computation-Practice & Experience, 2015.12

  • l The Principal Guest Editor of the special issue of Elsevier journal of Computers and Fluids, 2014.12

  • l The Principal Guest Editor of the special issue of Elsevier Procedia Engineering, 2013.5

  • l The Principal Guest Editor of the special issue of Springer Communications in Computer and Information Science, 2012.11

  • l Reviewers of more than 30 famous journals, including IEEE Trans. on Computers, IEEE Trans. on Parallel and Distributed Systems, IEEE Trans. on Nanobioscience, IEEE Trans. on Cloud Computing, IEEE Trans. on Emerging Topics in Computing, ACM Trans. on Embedded Computing Systems, Information Sciences, Journal of Parallel and Distributed Computing, The Journal of SuperComputing, Parallel Computing, Future Generation ComputerSystems, The Journal 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

  • l High Performance Computing and Cloud Computing (Ph.D students course)

  • l Parallel Processing (Ph.D students course)

  • l Introduction to the Theory of Computation (Master students course)

  • l Design and Analysis of Computer Algorithms(Undergraduate students course)

  • l Fundamentals of Compiling (Undergraduate students course)

  • STUDENTS SUPERVISED

  • l Current 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

  • l Graduated Ph.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   

  • l Current M.Sc. students: 20 (2018: 9; 2017: 8; 2016: 3)

  • l Graduated M.Sc. students: 72 (2015: 8; 2014: 9; 2013: 15; 2012: 5; 2011: 10; 2010: 5; 2009: 6; 2008: 7; 2007: 7)

  • AWARDS OFSTUDENTS SUPERVISED

  • l In 2018, a PhD student was awarded Chancellor's Scholarship and two PhD students were awarded National Scholarship

  • l In 2017, two PhD student were awarded Chancellor's Scholarship and a PhD student was awarded National Scholarship

  • l In 2016, two PhD students were awarded Chancellor's Scholarship and two PhD students were awarded National Scholarship

  • l In 2015, two PhD students were awarded Chancellor's Scholarship and two PhD students were    awarded National Scholarship

  • l In 2014, a PhD student was awarded Chancellor's Scholarship, three PhD students and one master student were awarded National Scholarship

  • l In 2013, a PhD student was awarded Chancellor's Scholarship and four PhD students were   awarded National Scholarship

  • l In 2012, a PhD student was awarded National Scholarship

  • l In 2009, a master's thesis was evaluated as Model Master Thesis of Hunan Province

科研状况
  • RESEARCH FUNDINGS, PI

  • l International (Regional) Cooperation and Exchange Program of National Natural Science Foundation of China (Grant NO.: 61860206011), Title: The Parallel Algorithm and Its Application for Artificial Intelligence Oriented Large-scaleTensor, 2,450,000 RMB, 2019.1-2023.12

  • l National Key R&D Program of China (Grant NO.: 2018YFB0203800), Title: Research on the Servitization Model and Architecture of High Performance Computing, 9,070,000 RMB, 2018.6-2020.12

  • l National Natural Science Foundation of China (Grant NO.: 61751204), Title: Heterogeneous Parallel Processing Methods and Platforms for Large-scale Multimodal Machine Learning, 2,200,000 RMB, 2018.1-2020.12

  • l National Distguinshed Youth Scholar Foundation of China (Grant NO.: 61625202), Title: High Efficient Computation, 4,000,000 RMB, 2017.1-2021.12

  • l National Natural Science Foundation of China (Grant NO.: 61472124 ), Title: Higher Order Sparse Matrix Vector Multiplication Scalable Heterogeneous Parallel Algorithm and Its Application in Electromagnetic Computation, 850,000 RMB, 2015.1-2018.12

  • l The State of International Science and Technology Cooperation Projects, Title: The Management of the Cloud System Based on Heterogeneous Supercomputer, 3,000,000 RMB, 2015.1-2017.12

  • l The Key Project of National Natural ScienceFoundation of China (Grant No.: 61133005), Title: Efficient Scheduling Theory and Methods of Large-scale Heterogeneous Parallel Systems, 2,800,000 RMB, 2012.1-2016.12.

  • l Subproject under the National Science and Technology Support Program (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.

  • l Youth 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.

  • l National Natural Science Foundation of China (General Program Grant No.: 61070057), Title: Stochastic Scheduling Algorithms on Heterogeneous Multi-core Parallel Systems, 330,000 RMB, 2011.01 -2013.12.

  • l Program for New Century Excellent Talents in University (Grant No.: NCET-08-0177), Title: Parallel Schedule Strategy for Applications in Seismic Data Processing Based on Credibility,  500,000 RMB, 2009.01- 2012.12.

  • l Supported 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.

  • l Fund Committee “Dynamic catastrophe of critical engineering” Key (Key grant) research programs fostering projects (Grant No.: 90715029), Title: Critical Theory and Technology Research for Earthquake Simulation Support System in Grid Environment, 500,000 RMB, 2008.01-2010.12.

  • l Youth Fund of National Natural Science Foundation (Grant No.: 60603053), 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  1. 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

  2. Chuliang Weng, Qian Liu, Kenli Li, and Deqing Zou. CloudMon. Monitoring Virtual Machines in Clouds. IEEE Transactions on Computers, 65(12):3787-3793, 2016

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  1. 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

  2. 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

  3. 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

  4. 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

  1. 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

  2. Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang, and Kenli Li. Directional and Explainable Serendipity Recommendation. WWW 2020, pp.122-132

  3. 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

  4. Zhiqiang Wu and Kenli Li*. VBTree: forward secure conjunctive queries over encrypted data for cloud computing. VLDB Journal, 28(1): 25-46, 2019

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Xiangyuan Zhu and Kenli Li*. CUDA-MAFFT: Accelerating MAFFT on CUDA-enabled graphics hardware. BIBM 2013: 486-489

  11. Weihua Zheng and Kenli Li*. Split Radix Algorithm for Length 6m DFT. IEEE Signal Processing Letters, 20(7): 713-716, 2013

  12. 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