default search action
Jiming Liu 0001
Person information
- affiliation: Hong Kong Baptist University, Department of Computer Science, Hong Kong
- affiliation (former): University of Windsor, Canada
- affiliation (PhD 1994): McGill University, Montreal, QC, Canada
Other persons with the same name
- Jiming Liu 0002 — University of California, Irvine, CA, USA
- Jiming Liu 0003 — George Washington University, School of Engineering and Applied Science, Department of Operations Research, Washington, DC, USA
- Jiming Liu 0004 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
- Jiming Liu 0005 — Itibia Technologies, Suzhou, China
- Jiming Liu 0006 — Dalian Maritime University, Faculty of Transportation Engineering, China
- Jiming Liu 0007 — Xi'an University of Posts and Telecommunications, China
- Jiming Liu 0008 — Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j169]Jinfu Ren, Yang Liu, Jiming Liu:
Commonality and Individuality-Based Subspace Learning. IEEE Trans. Cybern. 54(3): 1456-1469 (2024) - [j168]Qi Tan, Yang Liu, Jiming Liu:
Mutually Adaptable Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 240-254 (2024) - [j167]Benyun Shi, Liu Feng, Hailun He, Yingjian Hao, Yue Peng, Miao Liu, Yang Liu, Jiming Liu:
A Physics-Guided Attention-Based Neural Network for Sea Surface Temperature Prediction. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j166]Ning Zhong, Jiming Liu, Yiyu Yao:
Web Intelligence: In search of a better connected world. Web Intell. 22(1): 5-13 (2024) - [c178]Ruichen Liu, Yang Liu, Jiming Liu:
LLaCE: Locally Linear Contrastive Embedding. WWW (Companion Volume) 2024: 517-520 - 2023
- [j165]Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin:
Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. 55(2): 5:1-5:36 (2023) - [j164]Dong Li, Wenbo Song, Jiming Liu:
Complex Network Evolution Model Based on Turing Pattern Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4229-4244 (2023) - [j163]Xuliang Zhu, Xin Huang, Longxu Sun, Jiming Liu:
A Novel Graph Indexing Approach for Uncovering Potential COVID-19 Transmission Clusters. ACM Trans. Knowl. Discov. Data 17(2): 24:1-24:24 (2023) - [j162]Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies. IEEE Trans. Knowl. Data Eng. 35(3): 2500-2514 (2023) - [c177]Mutong Liu, Yang Liu, Jiming Liu:
Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction. CIKM 2023: 4084-4088 - [c176]Aibin Tang, Yineng Gao, Miao Liu, Yue Peng, Jiming Liu, Benyun Shi:
Vaccine Allocation Strategy for Addressing Vaccine-Induced Asymptomatic Infections. WI/IAT 2023: 569-575 - [i15]Jinfu Ren, Yang Liu, Jiming Liu:
Decadal Temperature Prediction via Chaotic Behavior Tracking. CoRR abs/2304.09536 (2023) - [i14]Mutong Liu, Yang Liu, Jiming Liu:
Machine Learning for Infectious Disease Risk Prediction: A Survey. CoRR abs/2308.03037 (2023) - [i13]Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang:
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes. CoRR abs/2310.16466 (2023) - 2022
- [j161]Hao Lan Zhang, Jiming Liu, Margaret Gillon-Dowens:
Complex brain activity analysis and recognition based on multiagent methods. Concurr. Comput. Pract. Exp. 34(8) (2022) - [j160]Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang:
Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1133-1148 (2022) - [j159]Chao Gao, Yi Fan, Shihong Jiang, Yue Deng, Jiming Liu, Xianghua Li:
Dynamic Robustness Analysis of a Two-Layer Rail Transit Network Model. IEEE Trans. Intell. Transp. Syst. 23(7): 6509-6524 (2022) - [j158]Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu:
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. IEEE Trans. Neural Networks Learn. Syst. 33(1): 103-116 (2022) - [j157]Xianghua Li, Xin Qi, Xingjian Liu, Chao Gao, Zhen Wang, Fan Zhang, Jiming Liu:
A Discrete Moth-Flame Optimization With an $l_2$-Norm Constraint for Network Clustering. IEEE Trans. Netw. Sci. Eng. 9(3): 1776-1788 (2022) - 2021
- [j156]Jiaxing Chen, Chinwang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lyu, William K. Cheung, Lu Zhang:
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data. Briefings Bioinform. 22(6) (2021) - [j155]Qi Tan, Yang Liu, Jiming Liu, Benyun Shi, Shang Xia, Xiao-Nong Zhou:
Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data. Neurocomputing 458: 701-713 (2021) - [j154]Haiqiang Wang, Yinying Wu, Chao Gao, Yue Deng, Fan Zhang, Jiajin Huang, Jiming Liu:
Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution. IEEE J. Biomed. Health Informatics 25(10): 3995-4004 (2021) - [j153]Dong Li, Jiming Liu:
Modeling Influence Diffusion over Signed Social Networks. IEEE Trans. Knowl. Data Eng. 33(2): 613-625 (2021) - [j152]Qi Tan, Yang Liu, Jiming Liu:
Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3538-3552 (2021) - [j151]Benyun Shi, Jianan Zhong, Hongjun Qiu, Qing Bao, Kai Liu, Jiming Liu:
Hybrid Embedding via Cross-Layer Random Walks on Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1815-1827 (2021) - [j150]Qing Cai, Sameer Alam, Mahardhika Pratama, Jiming Liu:
Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6244-6257 (2021) - [c175]Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu:
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. AAAI 2021: 7142-7150 - 2020
- [b4]Jiming Liu, Shang Xia:
Computational Epidemiology - From Disease Transmission Modeling to Vaccination Decision Making. Springer 2020, ISBN 978-3-030-52107-3, pp. 1-95 - [j149]Chunpeng Zhou, Benyun Shi, Hongjun Qiu, Jiming Liu:
Graph Convolutional Architectures via Arbitrary Order of Information Aggregation. IEEE Access 8: 92802-92813 (2020) - [j148]Vincent S. Tseng, Stephen T. C. Wong, Diane J. Cook, Jiming Liu:
[Guest Editorial]. IEEE Comput. Intell. Mag. 15(4): 8-9 (2020) - [j147]Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T. C. Wong, Diane J. Cook, Jiming Liu:
Computational Intelligence Techniques for Combating COVID-19: A Survey. IEEE Comput. Intell. Mag. 15(4): 10-22 (2020) - [j146]Qi Tan, Yang Liu, Jiming Liu:
Motif-aware diffusion network inference. Int. J. Data Sci. Anal. 9(4): 375-387 (2020) - [j145]Qing Cai, Sameer Alam, Jiming Liu:
On the Robustness of Complex Systems With Multipartitivity Structures Under Node Attacks. IEEE Trans. Control. Netw. Syst. 7(1): 106-117 (2020) - [j144]Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu:
Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding. IEEE Trans. Cybern. 50(2): 717-728 (2020) - [j143]Qing Cai, Jiming Liu:
Hierarchical Clustering of Bipartite Networks Based on Multiobjective Optimization. IEEE Trans. Netw. Sci. Eng. 7(1): 421-434 (2020) - [j142]Qing Cai, Mahardhika Pratama, Sameer Alam, Chunyao Ma, Jiming Liu:
Breakup of Directed Multipartite Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 947-960 (2020) - [j141]Xiaohui Tao, Juan Domingo Velásquez-Silva, Jiming Liu, Ning Zhong:
Editorial: Computational Social Science as the ultimate Web Intelligence. World Wide Web 23(3): 1743-1745 (2020) - [c174]Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha:
AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points. ECCV (13) 2020: 646-662 - [c173]Jinfu Ren, Yang Liu, Jiming Liu:
Metric-Guided Multi-task Learning. ISMIS 2020: 21-31 - [c172]Qi Tan, Yang Liu, Jiming Liu:
Mesoscale Anisotropically-Connected Learning. ISMIS 2020: 171-180 - [c171]Xingjian Liu, Fan Zhang, Xianghua Li, Chao Gao, Jiming Liu:
Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering. ISMIS 2020: 372-382 - [i12]Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha:
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points. CoRR abs/2007.05719 (2020) - [i11]Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Ontology-based Graph Visualization for Summarized View. CoRR abs/2008.03053 (2020) - [i10]Qi Tan, Yang Liu, Jiming Liu:
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework. CoRR abs/2009.06304 (2020)
2010 – 2019
- 2019
- [b3]Li Tao, Jiming Liu:
Healthcare Service Management - A Data-Driven Systems Approach. Springer 2019, ISBN 978-3-030-15383-0, pp. 1-154 - [j140]Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu:
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7: 2633-2642 (2019) - [j139]Benyun Shi, Chunpeng Zhou, Hongjun Qiu, Xiaobin Xu, Jiming Liu:
Unifying Structural Proximity and Equivalence for Network Embedding. IEEE Access 7: 106124-106138 (2019) - [j138]Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu:
Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. IEEE Access 7: 108458-108473 (2019) - [j137]Chao Gao, Zhen Su, Jiming Liu, Jürgen Kurths:
Even central users do not always drive information diffusion. Commun. ACM 62(2): 61-67 (2019) - [j136]Dong Li, Wei Wang, Jiming Liu:
Grassroots VS elites: Which ones are better candidates for influence maximization in social networks? Neurocomputing 358: 321-331 (2019) - [j135]Chao Yu, Yinzhao Dong, Jiming Liu, Guoqi Ren:
Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV. BMC Medical Informatics Decis. Mak. 19-S(2): 19-29 (2019) - [j134]Chao Yu, Jiming Liu, Hongyi Zhao:
Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Medical Informatics Decis. Mak. 19-S(2): 111-120 (2019) - [j133]Dong Li, Jiming Liu:
Uncovering the relationship between point-of-interests-related human mobility and socioeconomic status. Telematics Informatics 39: 49-63 (2019) - [c170]Jinfu Ren, Yang Liu, Jiming Liu:
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning. AAAI 2019: 10011-10012 - [c169]Chao Yu, Guoqi Ren, Jiming Liu:
Deep Inverse Reinforcement Learning for Sepsis Treatment. ICHI 2019: 1-3 - [c168]Benyun Shi, Jianan Zhong, Qing Bao, Hongjun Qiu, Jiming Liu:
EpiRep: Learning Node Representations through Epidemic Dynamics on Networks. WI 2019: 486-492 - [i9]Chao Yu, Jiming Liu, Shamim Nemati:
Reinforcement Learning in Healthcare: A Survey. CoRR abs/1908.08796 (2019) - 2018
- [j132]Chen Li, William K. Cheung, Jiming Liu, Joseph Kee-Yin Ng:
Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis. ACM Trans. Intell. Syst. Technol. 9(5): 54:1-54:26 (2018) - [j131]Zhiwen Yu, Peinan Luo, Jiming Liu, Hau-San Wong, Jane You, Guoqiang Han, Jun Zhang:
Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection. IEEE Trans. Knowl. Data Eng. 30(12): 2394-2407 (2018) - [j130]Ning Zhong, Jiming Liu, Yong Shi, Yiyu Yao:
An interview with Professor Raj Reddy on Web Intelligence (WI) and Computational Social Science (CSS). Web Intell. 16(3): 143-146 (2018) - [c167]Yikun Zhang, Yang Liu, Jiming Liu:
Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-Step Clustering-Based Strategy. AAAI Workshops 2018: 530-537 - [c166]Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI 2018: 800-807 - [c165]Yikun Zhang, Jiming Liu, Yang Liu:
Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm. AAAI 2018: 8183-8184 - [c164]Hao Lan Zhang, Xingsen Li, Jiming Liu, Yiu-ming Cheung:
Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition. ICACI 2018: 852-855 - [c163]Qi Tan, Jiming Liu, Benyun Shi, Yang Liu, Xiao-Nong Zhou:
Public Health Surveillance with Incomplete Data - Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics. ICHI 2018: 255-264 - [c162]Hechang Chen, Bo Yang, Jiming Liu:
Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) 2018: 425-437 - [c161]Qi Tan, Yang Liu, Jiming Liu:
Motif-Aware Diffusion Network Inference. PAKDD (3) 2018: 638-650 - [c160]Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu:
Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery. WI 2018: 310-317 - [e19]Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras:
Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Lecture Notes in Computer Science 11177, Springer 2018, ISBN 978-3-030-01850-4 [contents] - [i8]Xiao-Feng Xie, Jiming Liu, Zun-Jing Wang:
A Cooperative Group Optimization System. CoRR abs/1808.01342 (2018) - [i7]Zhanwei Du, Spencer J. Fox, Petter Holme, Jiming Liu, Alison P. Galvani, Lauren Ancel Meyers:
Periodicity in Movement Patterns Shapes Epidemic Risk in Urban Environments. CoRR abs/1809.05203 (2018) - 2017
- [j129]Youcheng Zhou, Bin Zhong, Tao Fang, Jiming Liu, Xiao-Nong Zhou, Shiwu Zhang:
Application of bio-inspired control of AmphiHex-I in detection of Oncomelania hupensis, the amphibious snail intermediate host of Schistosoma japonicum. Ind. Robot 44(2): 242-250 (2017) - [j128]Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia:
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1532-1546 (2017) - [j127]Bo Yang, Yu Lei, Jiming Liu, Wenjie Li:
Social Collaborative Filtering by Trust. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1633-1647 (2017) - [j126]Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin:
A comparative study on swarm intelligence for structure learning of Bayesian networks. Soft Comput. 21(22): 6713-6738 (2017) - [j125]Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu:
A Component-Based Diffusion Model With Structural Diversity for Social Networks. IEEE Trans. Cybern. 47(4): 1078-1089 (2017) - [j124]Zhiwen Yu, Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, Guoqiang Han:
A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets. IEEE Trans. Cybern. 47(12): 4418-4431 (2017) - [j123]Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han:
Adaptive Ensembling of Semi-Supervised Clustering Solutions. IEEE Trans. Knowl. Data Eng. 29(8): 1577-1590 (2017) - [j122]Chao Gao, Jiming Liu:
Network-Based Modeling for Characterizing Human Collective Behaviors During Extreme Events. IEEE Trans. Syst. Man Cybern. Syst. 47(1): 171-183 (2017) - [c159]Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Ontology-based Graph Visualization for Summarized View. CIKM 2017: 2115-2118 - [c158]Hao Lan Zhang, Jiming Liu, Tongliang Li, Yun Xue, Songjie Xu, Junhua Chen:
Extracting sample data based on poisson distribution. ICMLC 2017: 374-378 - [c157]Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu:
Brand key asset discovery via cluster-wise biased discriminant projection. WI 2017: 284-290 - [i6]Zhanwei Du, Bo Yang, Jiming Liu:
Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows. CoRR abs/1702.02456 (2017) - [i5]Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR abs/1712.00328 (2017) - 2016
- [j121]Junzhong Ji, Lang Jiao, Cuicui Yang, Jiming Liu:
A Multiagent Evolutionary Method for Detecting Communities in Complex Networks. Comput. Intell. 32(4): 587-614 (2016) - [j120]Cuicui Yang, Junzhong Ji, Jiming Liu, Jinduo Liu, Baocai Yin:
Structural learning of Bayesian networks by bacterial foraging optimization. Int. J. Approx. Reason. 69: 147-167 (2016) - [j119]Cuicui Yang, Junzhong Ji, Jiming Liu, Baocai Yin:
Bacterial foraging optimization using novel chemotaxis and conjugation strategies. Inf. Sci. 363: 72-95 (2016) - [j118]Ben Teng, Can Yang, Jiming Liu, Zhipeng Cai, Xiang Wan:
Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 557-564 (2016) - [j117]Zhiwen Yu, Hantao Chen, Jiming Liu, Jane You, Hareton Leung, Guoqiang Han:
Hybrid k-Nearest Neighbor Classifier. IEEE Trans. Cybern. 46(6): 1263-1275 (2016) - [j116]Hong Jia, Yiu-ming Cheung, Jiming Liu:
A New Distance Metric for Unsupervised Learning of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1065-1079 (2016) - [c156]Zhiwen Yu, Guoqiang Han, Le Li, Jiming Liu, Jun Zhang:
Adaptive noise immune cluster ensemble using affinity propagation. ICDE 2016: 1454-1455 - [c155]Qing Bao, William K. Cheung, Jiming Liu:
Inferring Motif-Based Diffusion Models for Social Networks. IJCAI 2016: 3677-3683 - [c154]Hao Lan Zhang, Jiming Liu, Chunyu Feng, Chaoyi Pang, Tongliang Li, Jing He:
Complex social network partition for balanced subnetworks. IJCNN 2016: 4177-4182 - [c153]Chen Li, William Kwok-Wai Cheung, Jiming Liu, Joseph Kee-Yin Ng:
Bayesian Nominal Matrix Factorization for Mining Daily Activity Patterns. WI 2016: 335-342 - [p7]Ning Zhong, Jianhua Ma, Runhe Huang, Jiming Liu, Yiyu Yao, Yaoxue Zhang, Jianhui Chen:
Research Challenges and Perspectives on Wisdom Web of Things (W2T). Semantic Web Technologies for Intelligent Engineering Applications 2016: 3-26 - [p6]Jianhui Chen, Jianhua Ma, Ning Zhong, Yiyu Yao, Jiming Liu, Runhe Huang, Wenbin Li, Zhisheng Huang, Yang Gao:
WaaS - Wisdom as a Service. Semantic Web Technologies for Intelligent Engineering Applications 2016: 27-46 - [p5]Bo Yang, Jiming Liu:
Mining Multiplex Structural Patterns from Complex Networks. Semantic Web Technologies for Intelligent Engineering Applications 2016: 275-301 - [e18]Ning Zhong, Jianhua Ma, Jiming Liu, Runhe Huang, Xiaohui Tao:
Wisdom Web of Things. 2016, ISBN 978-3-319-44196-2 [contents] - 2015
- [j115]Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Jiming Liu:
Predicting protein function via downward random walks on a gene ontology. BMC Bioinform. 16: 271:1-271:13 (2015) - [j114]Kai Liu, William K. Cheung, Jiming Liu:
Detecting multiple stochastic network motifs in network data. Knowl. Inf. Syst. 42(1): 49-74 (2015) - [j113]Li Tao, Jiming Liu:
Understanding self-organized regularities in healthcare services based on autonomy oriented modeling. Nat. Comput. 14(1): 7-24 (2015) - [j112]Zhiwen Yu, Hantao Chen, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han, Le Li:
Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 887-901 (2015) - [j111]Zhiwen Yu, Le Li, Jiming Liu, Guoqiang Han:
Hybrid Adaptive Classifier Ensemble. IEEE Trans. Cybern. 45(2): 177-190 (2015) - [j110]Carlo Combi, Jiming Liu:
Introduction to the ACM TIST Special Issue on Intelligent Healthcare Informatics. ACM Trans. Intell. Syst. Technol. 6(4): 51:1-51:3 (2015) - [j109]Yu Zhang, William K. Cheung, Jiming Liu:
A Unified Framework for Epidemic Prediction based on Poisson Regression. IEEE Trans. Knowl. Data Eng. 27(11): 2878-2892 (2015) - [j108]Zhiwen Yu, Le Li, Jiming Liu, Jun Zhang, Guoqiang Han:
Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation. IEEE Trans. Knowl. Data Eng. 27(12): 3176-3189 (2015) - [c152]Chen Li, William K. Cheung, Jiming Liu:
Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling. ICHI 2015: 427-436 - [c151]Qing Bao, William Kwok-Wai Cheung, Jiming Liu, Yunya Song:
Inferring Latent Co-activation Patterns for Information Diffusion. WI-IAT (1) 2015: 485-492 - [i4]Ben Teng, Can Yang, Jiming Liu, Zhipeng Cai, Xiang Wan:
Exploring the genetic patterns of complex diseases via the integrative genome-wide approach. CoRR abs/1501.06396 (2015) - 2014
- [j107]Xiaowei Zhou, Jiming Liu, Xiang Wan, Weichuan Yu:
Piecewise-constant and low-rank approximation for identification of recurrent copy number variations. Bioinform. 30(14): 1943-1949 (2014) - [j106]