[1] *Li W, Song Y, Zhou C, 2014. Computationally evaluating and synthesizing Chinese calligraphy, Neurocomputing, 135: 299-305 (Elsevier: SCI).
[2] Tang C, *Zhou C, Hu H, Pan W, Xie L, 2014. A semi-supervised learning system for service robots to recognise human action, Advanced Robotics, 28(13): 907-918.
[3] Chao F, Wang Z, Shang C, Meng Q, Jiang M, Zhou C, *Shen Q, 2014. A developmental approach to robotic pointing via human-robot interaction, Information Sciences, 283: 288-303.
[4] Chao F, Chen F, Shen Y, He W, Sun Y, Wang Z, Zhou C, *Jiang M, 2014. Robotic free writing of Chinese characters via human robot interactions, International Journal of Humanoid Robotics, 11(1), 1450007.
[5] *Diao R, Chao F, Peng T, Snooke N, Shen Q, 2014. Feature selection inspired classifier ensemble reduction, IEEE Transactions on Cybernetics, 44(8): 1259-1268.
[6] Chao F, Lee M, *Jiang M, Zhou C, 2014. An infant development-inspired approach to robot hand-eye coordination, International Journal of Advanced Robotic Systems, 11(15).
[7] Li R, Qin R, *Zhang J, Wu J, Zhou C, 2014. The aesthetic preference of Chinese typefaces - an event-related potential study, Brain Research, doi: 10.1016/j.brainres.2014.11.055.
[8] Xie L, *Pan W, Tang C, Hu H, 2014. A pyramidal deep learning archite3cture for human action recognition. International Journal of Modelling, Identification and Control, 21(2):139-146.
[9] 黄朝熙,潘伟,陈杰,吴海涛,吴道曦,*徐素霞,2014.基于单波束测距声纳的水下机器人避障仿真研究,厦门大学学报(自然科学版),53(4): 484-489.
[10] 张欣,周昌乐,江敏,*晁飞, 2014.受人类婴儿发育启发的机器人手眼协调方法,机器人, 36(2):185-193.
[11] *张俊松,张悠苗,周昌乐,2014.书法临摹过程的交互式动画建模方法,计算机辅助设计与图形学学报,26(6): 963-972.
[12] *张晓君,林颖,周昌乐,2014.基于知识情感等级BDI主体的决策行为模型研究,计算机科学，41(3):232-237.
[13] *齐真,许家佗,周昌乐,2014.基于基因组学的中医“证”本质的研究概况,时珍国医国药,8: 1953-1955.
[14] Chen S, *Li S, Su S, Tian Q, Ji R, 2014. Online MIL tracking with instance-level semi-supervised learning. Neurocomputing, 139: 272-288.
[15] Chen S, *Li S, Su S, Cao D, Ji R, 2014. Online semi-supervised compressive coding for robust visual tracking, J. Visual Communication and Image Representation, 25(5): 793-804.
[16] Zhang H, Li S, Chen S, Su S, Duh D, *Li S, 2014. Adaptive photograph retrieval method, Multimedia Tools Appl, 70(3): 2189-2209.
[17] Li K, Chen S, Su S, Duh D, Zhang H, *Li S, 2014. Logo detection with extendibility and discrimination, Multimedia Tools Appl, 72(2): 1285-1310.
[18] Cao D, *Ji R, Lin D, Li S, 2014. Visual sentiment topic model based microblog image sentiment analysis, Multimedia Tools and Applications, November 4.
[19] Cao D, *Ji R, Lin D, Li S, 2014. A cross-media public sentiment analysis system for microblog, Multimedia Systems, August 26.
[20] Su S, Lan Z, *Li S, Chen S. Category-specific scene categorization, 2014. Journal of the Chinese Institute of Engineers, DOI: http://dx.doi.org/10.1080/02533839.2014.953239.
[21] Su S, Liu Z, Xu S, Li S, *Ji R, 2014. Depth image feature learning based on sparse auto-encoder for human detection, Signal Processing, Doi:10.1016/j.sigpro.2014.11.003.
[22] Huang Z, *Chen Y, 2014. A two-stage exon recognition model based on synergetic neural network, Computational and Mathematical Methods in Medicine, DOI: 10.1155/2014/503132.
[23] *Su J, Shi X, Huang Y, Liu Y, Wu Q, Chen Y, Dong H, 2014. Topic-aware pivot language approach for statistical machine translation, Journal of Zhejiang University: Science C, 15(4): 241-253.
[24] 苏劲松,董槐林,陈毅东,史晓东,*吴清强,2014.引入基于主题复述知识的统计机器翻译模型,浙江大学学报（工学版）, 48(10): 1843-1849.
[25] *何钟豪,苏劲松,史晓东,陈毅东,黄研洲,2014.引入集成学习的最大熵短语调序模型,中文信息学报, 28(1): 87-93.
[26] *罗凌,陈毅东,曹茂元,2014.微博观点句识别的话题影响研究,电脑知识与技术, 10(1): 123-127.
[27] Ji R, *Gao Y, Liu W, Xie X, Tian Q, Li X, 2014. When location meets social multimedia: a survey on vision-based recognition and mining for geo-social multimedia analytics, ACM Transactions on Intelligent Systems and Technology, 6(1): 1-24.
[28] Ji R, *Gao Y, Hong R, Liu Q, Tao D, Li X, 2014. Spectral-spatial constraint hyperspectral image classification, IEEE T. Geoscience and Remote Sensing, 52(3): 1811-1824 (2014).
[29] Ji R, *Duan L, Chen J, Huang T, Gao W, 2014. Mining compact bag-of-patterns for low bit rate mobile visual search, IEEE Transactions on Image Processing, 23(7): 3099-3113 (2014).
[30] *Ji R, Yang Y, Sebe N, Aizawa K, Cao L, 2014. Large-scale geosocial multimedia, IEEE Multimedia Magazine, 21(3): 7-9.
[31] Gao Y, *Ji R., Zhang L, Hauptmann A, 2014. Symbiotic tracker ensemble toward a unified tracking framework, IEEE Trans. Circuits Syst. Video Techn, 24(7): 1122-1131.
[32] Gao Y, *Ji R, Cui P, Dai Q, Hua G, 2014. Hyperspectral image classification through bilayer graph-based learning, IEEE Transactions on Image Processing, 23(7): 2769-2778.
[33] Lu K, *Ji R, Tang J, Gao Y, 2014. Learning-based bipartite graph matching for view-based 3D model retrieval, IEEE Transactions on Image Processing, 23(10): 4553-4563.
[34] Gao Y, *Ji R, Liu W, Dai Q, Hua G, 2014. Weakly supervised visual dictionary learning by harnessing image attributes, IEEE Transactions on Image Processing, 23(12): 5400-5411.
[35] Deng C, *Ji R, Tao D, Gao X, Li X, 2014. Weakly supervised multi-graph learning for robust image reranking, IEEE Transactions on Multimedia, 16(3): 785-795.
[36] Duan L, *Ji R, Chen Z, Huang T, Gao W, 2014. Towards mobile document image retrieval for digital library, IEEE Transactions on Multimedia, 16(2): 346-359.
[37] Gao Y, Wang M, *Ji R, Wu X, Dai Q, 2014. 3-D object retrieval with hausdorff distance learning, IEEE Transactions on Industrial Electronics, 61(4): 2088-2098.
[38] Wei L, Liao M, Gao Y, Ji R, *He Z, *Zou Q, 2014. Improved and promising identification of human microRNAs by incorporating a high-quality negative set, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(1):192-201.
[39] *Zou Q, Li X, Jiang W, Lin Z, Li G, Chen K, 2014. Survey of mapReduce frame operation in bioinformatics, Briefings in Bioinformatics,15(4): 637-647.
[40] Li P, Guo M, Wang C, Liu X, *Zou Q, 2014. An overview of SNP interactions in genome-wide association studies, Briefings in Functional Genomics. Doi: 10.1093/bfgp/elu036.
[41] Song L, Li D, Zeng X, Wu Y, *Guo L, *Zou Q, 2014. nDNA-prot: identification of DNA-binding proteins based on unbalanced classification, BMC Bioinformatics, 15:298.
[42] Zou Q, Li J, Wang C, *Zeng X, 2014. Approaches for recognition disease genes based on network, BioMed Research International, 2014: 416323.
[43] *Zou Q, Mao Y, Hu L, Wu Y, *Ji Z, 2014. MiRClassify: an advanced web server for miRNA family classification and annotation, Computers in Biology and Medicine, 45:157-160.
[44] *Chen Z, Wang W, Lévy B, Liu L, Sun F, 2014. Revisiting optimal delaunay triangulation for 3D graded mesh generation, SIAM Journal on Scientific Computing, 36(3): A930-A954.
