@article{Adamo2016, abstract = {combines nonconvex Lipschitzian-type mappings with canonical orthogonal projectors. The former are aimed at uniformly enhancing the sparsity level by shrinkage effects, the latter are used to project back onto the space of feasible solutions. The iterative process is driven by an increasing sequence of a scalar parameter that mainly contributes to approach the sparsest solutions. It is shown that the minima are locally asymptotically stable for a specific smooth . ℓ0-norm. Furthermore, it is shown that the points yielded by this iterative strategy are related to the optimal solutions measured in terms of a suitable smooth . ℓ1-norm. Numerical simulations on phase transition show that the performances of the proposed technique overcome those yielded by well known methods for sparse recovery.}, author = {Adamo, Alessandro and Grossi, Giuliano and Lanzarotti, Raffaella and Lin, Jianyi}, doi = {10.1016/j.tcs.2016.04.025}, journal = {Theoretical Computer Science}, month = {apr}, pages = {12-28}, title = {Sparse decomposition by iterating Lipschitzian-type mappings}, url = {https://oadoi.org/10.1016/j.tcs.2016.04.025}, volume = {664}, year = {2016} } @article{Cai2017, abstract = {This review focuses on graphene-based electrode materials and discusses their problems in full cells and efforts to solve them.}, author = {Cai, Xiaoyi and Lai, Linfei and Shen, Zexiang and Lin, Jianyi}, doi = {10.1039/c7ta04354f}, journal = {Journal of Materials Chemistry A: materials for energy and sustainability}, month = {jan}, pages = {15423-15446}, title = {Graphene and graphene-based composites as Li-ion battery electrode materials and their application in full cells}, url = {https://oadoi.org/10.1039/c7ta04354f}, volume = {5}, year = {2017} } @article{Cai2017_2, abstract = {This review addresses the importance of the air–electrode structure and the microstructures of the catalyst for rechargeable zinc–air batteries.}, author = {Cai, Xiaoyi and Lai, Linfei and Lin, Jianyi and Shen, Zexiang}, doi = {10.1039/c7mh00358g}, journal = {Materials Horizons}, month = {jan}, pages = {945-976}, title = {Recent advances in air electrodes for Zn–air batteries: electrocatalysis and structural design}, url = {https://oadoi.org/10.1039/c7mh00358g}, volume = {4}, year = {2017} } @article{Chao2016, abstract = {AbstractSodium-ion batteries are a potentially low-cost and safe alternative to the prevailing lithium-ion battery technology. However, it is a great challenge to achieve fast charging and high power density for most sodium-ion electrodes because of the sluggish sodiation kinetics. Here we demonstrate a high-capacity and high-rate sodium-ion anode based on ultrathin layered tin(II) sulfide nanostructures, in which a maximized extrinsic pseudocapacitance contribution is identified and verified by kinetics analysis. The graphene foam supported tin(II) sulfide nanoarray anode delivers a high reversible capacity of ∼1,100 mAh g−1 at 30 mA g−1 and ∼420 mAh g−1 at 30 A g−1, which even outperforms its lithium-ion storage performance. The surface-dominated redox reaction rendered by our tailored ultrathin tin(II) sulfide nanostructures may also work in other layered materials for high-performance sodium-ion storage.}, author = {Chao, Dongliang and Zhu, Changrong and Yang, Peihua and Xia, Xinhui and Liu, Jilei and Wang, Jin and Fan, Xiaofeng and Savilov, Serguei V. and Lin, Jianyi and Fan, Hong Jin and Shen, Ze Xiang}, doi = {10.1038/ncomms12122}, journal = {Nature Communications}, month = {jun}, title = {Array of nanosheets render ultrafast and high-capacity Na-ion storage by tunable pseudocapacitance}, url = {https://doi.org/10.1038/ncomms12122}, volume = {7}, year = {2016} } @article{Chao2016_2, author = {Chao, Dongliang and Liang, Pei and Chen, Zhen and Bai, Linyi and Shen, He and Liu, Xiaoxu and Xia, Xinhui and Zhao, Yanli and Savilov, Serguei V. and Lin, Jianyi and Shen, Ze Xiang}, doi = {10.1021/acsnano.6b05566}, journal = {ACS Nano}, month = {oct}, pages = {10211-10219}, title = {Pseudocapacitive Na-Ion Storage Boosts High Rate and Areal Capacity of Self-Branched 2D Layered Metal Chalcogenide Nanoarrays}, url = {https://oadoi.org/10.1021/acsnano.6b05566}, volume = {10}, year = {2016} } @article{Chen2016, abstract = {AbstractAlthough being considered as one of the most promising cathode materials for Lithium-ion batteries (LIBs), LiNi1/3Co1/3Mn1/3O2 (NCM) is currently limited by its poor rate performance and cycle stability resulting from the thermodynamically favorable Li+/Ni2+ cation mixing which depresses the Li+ mobility. In this study, we developed a two-step method using fluffy MnO2 as template to prepare hierarchical porous nano-/microsphere NCM (PNM-NCM). Specifically, PNM-NCM microspheres achieves a high reversible specific capacity of 207.7 mAh g−1 at 0.1 C with excellent rate capability (163.6 and 148.9 mAh g−1 at 1 C and 2 C), and the reversible capacity retention can be well-maintained as high as 90.3% after 50 cycles. This excellent electrochemical performance is attributed to unique hierarchical porous nano-/microsphere structure which can increase the contact area with electrolyte, shorten Li+ diffusion path and thus improve the Li+ mobility. Moreover, as revealed by XRD Rietveld refinement analysis, a negligible cation mixing (1.9%) and high crystallinity with a well-formed layered structure also contribute to the enhanced C-rates performance and cycle stability. On the basis of our study, an effective strategy can be established to reveal the fundamental relationship between the structure/chemistry of these materials and their properties.}, author = {Chen, Zhen and Wang, Jin and Chao, Dongliang and Baikie, Tom and Bai, Linyi and Chen, Shi and Zhao, Yanli and Sum, Tze Chien and Lin, Jianyi and Shen, Zexiang}, doi = {10.1038/srep25771}, journal = {Scientific Reports}, month = {may}, title = {Hierarchical Porous LiNi1/3Co1/3Mn1/3O2 Nano-/Micro Spherical Cathode Material: Minimized Cation Mixing and Improved Li+ Mobility for Enhanced Electrochemical Performance}, url = {https://doi.org/10.1038/srep25771}, volume = {6}, year = {2016} } @article{Deng2016, author = {Deng, Gang and Chao, Dongliang and Guo, Yuwei and Chen, Zhen and Wang, Huanhuan and Savilov, Serguei V. and Lin, Jianyi and Shen, Ze Xiang}, doi = {10.1016/j.ensm.2016.07.007}, journal = {Energy Storage Materials}, month = {oct}, pages = {198-204}, title = {Graphene quantum dots-shielded Na 3 (VO) 2 (PO 4 ) 2 F@C nanocuboids as robust cathode for Na-ion battery}, url = {https://oadoi.org/10.1016/j.ensm.2016.07.007}, volume = {5}, year = {2016} } @incollection{D’Amelio2017, author = {D’Amelio, Alessandro and Cuculo, Vittorio and Grossi, Giuliano and Lanzarotti, Raffaella and Lin, Jianyi}, doi = {10.1007/978-3-319-70742-6_17}, journal = {Lecture Notes in Computer Science}, month = {jan}, pages = {181-188}, title = {A Note on Modelling a Somatic Motor Space for Affective Facial Expressions}, url = {https://oadoi.org/10.1007/978-3-319-70742-6_17}, year = {2017} } @article{Grossi2016, abstract = { For decades, face recognition (FR) has attracted a lot of attention, and several systems have been successfully developed to solve this problem. However, the issue deserves further research effort so as to reduce the still existing gap between the computer and human ability in solving it. Among the others, one of the human skills concerns his ability in naturally conferring a “degree of reliability” to the face identification he carried out. We believe that providing a FR system with this feature would be of great help in real application contexts, making more flexible and treatable the identification process. In this spirit, we propose a completely automatic FR system robust to possible adverse illuminations and facial expression variations that provides together with the identity the corresponding degree of reliability. The method promotes sparse coding of multi-feature representations with LDA projections for dimensionality reduction, and uses a multistage classifier. The method has been evaluated in the challenging condition of having few (3–5) images per subject in the gallery. Extended experiments on several challenging databases (frontal faces of Extended YaleB, BANCA, FRGC v2.0, and frontal faces of Multi-PIE) show that our method outperforms several state-of-the-art sparse coding FR systems, thus demonstrating its effectiveness and generalizability. }, author = {Grossi, Giuliano and Lanzarotti, Raffaella and Lin, Jianyi}, doi = {10.1142/s0218001416560073}, journal = {International Journal of Pattern Recognition and Artificial Intelligence}, month = {mar}, title = {Robust face recognition providing the identity and its reliability degree combining sparse representation and multiple features}, url = {http://hdl.handle.net/2434/426524}, year = {2016} } @article{Hu2016, author = {Hu, Yuanchao and Lin, Jianyi and Cui, Shenghui and Khanna, Nina Zheng}, doi = {10.1021/acs.est.6b00985}, journal = {Environmental Science and Technology}, month = {jun}, pages = {6154-6163}, title = {Measuring Urban Carbon Footprint from Carbon Flows in the Global Supply Chain}, url = {https://oadoi.org/10.1021/acs.est.6b00985}, volume = {50}, year = {2016} } @article{Kang2016, abstract = {Providing a comprehensive insight, water footprint (WF) is widely used to analyze and address water-use issues. In this study, a hybrid of bottom-up and top-down methods is applied to calculate, from production and consumption perspectives, the WF for Xiamen city from 2001 to 2012. Results show that the average production WF of Xiamen was 881.75 Mm3/year and remained relatively stable during the study period, while the consumption WF of Xiamen increased from 979.56 Mm3/year to 1,664.97 Mm3/year over the study period. Xiamen thus became a net importer of virtual water since 2001. Livestock was the largest contributor to the total WF from both production and consumption perspectives; it was followed by crops, industry, household use, and commerce. The efficiency of the production WF has increased in Xiamen, and its per capita consumption WF was relatively low. The city faces continuing growth in its consumption WF, so more attention should be paid to improving local irrigation, reducing food waste, and importing water-intensive agricultural products.}, author = {Kang, Jiefeng and Lin, Jianyi and Cui, Shenghui and Li, Xiangyang}, doi = {10.2166/ws.2016.152}, journal = {Water Supply}, month = {sep}, pages = {472-479}, title = {Water footprint of Xiamen city from production and consumption perspectives (2001–2012)}, url = {https://oadoi.org/10.2166/ws.2016.152}, volume = {17}, year = {2016} } @article{Lai2016, author = {Lai, Linfei and Cai, Xiaoyi and Hansen, Reinack Varghese and Zhang, Lili and Li, Baosheng and Lim, San Hua and Poh, Chee Kok and Chen, Luwei and Yang, Jinglei and Lin, Jianyi and Shen, Zexiang}, month = {mar}, title = {Binary metal sulfides and PPy on VACNT arrays-JMCA 2015}, url = {https://www.researchgate.net/profile/Lili_Zhang15/publication/298657410_Binary_metal_sulfides_and_PPy_on_VACNT_arrays-JMCA_2015/links/56ea291708ae3a5b48cce08a.pdf}, year = {2016} } @article{Lin2016, author = {Lin, Tao and Ge, Rubing and Huang, Jie and Zhao, Qianjun and Lin, Jianyi and Huang, Ning and Zhang, Guoqin and Li, Xinhu and Ye, Hong and Yin, Kai}, doi = {10.1016/j.ecolind.2015.11.027}, journal = {Ecological Indicators}, month = {mar}, pages = {95-100}, title = {A quantitative method to assess the ecological indicator system's effectiveness: a case study of the Ecological Province Construction Indicators of China}, url = {https://oadoi.org/10.1016/j.ecolind.2015.11.027}, volume = {62}, year = {2016} } @incollection{Lin2016_2, abstract = {Significant advances in high-throughput sequencing technologies raised exponentially the rate of acquisition of novel biological knowledge in the last decade, thus resulting in consistent difficulties in the analysis of vast amount of biological data. This adverse scenario is exacerbated by serious scalability limitations affecting state-of-the art within-network learning methods and by the limited availability of primary memory in off-the-shelf desktop computers. In this contribution we present the application of a novel graph kernel, transductive and secondary memory-based network learning algorithm able to effectively tackle the aforementioned limitations. The proposed algorithm is then evaluated on a large (more than 200,000 vertices) biological network using ordinary off-the-shelf computers. To our knowledge this is the first time a graph kernel learning method is applied to a so large biological network.}, author = {Lin, Jianyi and Mesiti, Marco and Re, Matteo and Valentini, Giorgio}, doi = {10.1007/978-3-319-50901-3_19}, journal = {Studies in Computational Intelligence}, month = {nov}, pages = {235-245}, title = {Within network learning on big graphs using secondary memory-based random walk kernels}, url = {https://oadoi.org/10.1007/978-3-319-50901-3_19}, year = {2016} } @article{Ni2016, author = {Ni, Jun and Zhao, Jia and Chen, Luwei and Lin, Jianyi and Kawi, Sibudjing}, doi = {10.1002/cctc.201601002}, journal = {ChemCatChem}, month = {nov}, pages = {3732-3739}, title = {Lewis Acid Sites Stabilized Nickel Catalysts for Dry (CO2) Reforming of Methane}, url = {https://oadoi.org/10.1002/cctc.201601002}, volume = {8}, year = {2016} } @article{Ni2016_2, author = {Ni, Jun and Zhao, Jia and Chen, Luwei and Lin, Jianyi and Kawi, Sibudjing}, doi = {10.1002/cctc.201601576}, journal = {ChemCatChem}, month = {dec}, pages = {3814-3814}, title = {Inside Back Cover: Lewis Acid Sites Stabilized Nickel Catalysts for Dry (CO2 ) Reforming of Methane (ChemCatChem 24/2016)}, url = {https://oadoi.org/10.1002/cctc.201601576}, volume = {8}, year = {2016} } @article{Wang2016, author = {Wang, Jin and Liu, Jilei and Yang, Hao and Chen, Zhen and Lin, Jianyi and Shen, Zexiang}, doi = {10.1039/c6ta02034h}, journal = {Journal of Materials Chemistry A: materials for energy and sustainability}, month = {jan}, pages = {7565-7572}, title = {Active Sites–enriched Hierarchical MoS2 Nanotubes: Highly Active and Stable Architecture for Boosting Hydrogen Evolution and Lithium Storage}, url = {http://pubs.rsc.org/en/content/articlepdf/2016/ta/c6ta02034h}, volume = {4}, year = {2016} } @article{Wang2016_2, author = {Wang, Huanhuan and Lin, Jianyi and Shen, Ze Xiang}, doi = {10.1016/j.jsamd.2016.08.001}, journal = {Journal of Science: Advanced Materials and Devices}, month = {sep}, pages = {225-255}, title = {Polyaniline (PANi) based electrode materials for energy storage and conversion}, url = {https://doi.org/10.1016/j.jsamd.2016.08.001}, volume = {1}, year = {2016} } @article{Yang2016, author = {Yang, Huanping and Liu, Jilei and Wang, Jin and Poh, Chee Kok and Zhou, Weijiang and Lin, Jianyi and Shen, Zexiang}, month = {jan}, title = {Electrocatalytically Active Graphene supported MMo Carbides (M< img border=}, year = {2016} } @article{Yang2016_2, author = {Yang, Huanping and Liu, Jilei and Wang, Jin and Poh, Chee Kok and Zhou, Weijiang and Lin, Jianyi and Shen, Zexiang}, doi = {10.1016/j.electacta.2016.09.023}, journal = {Electrochimica Acta}, month = {oct}, pages = {246-252}, title = {Electrocatalytically Active Graphene supported MMo Carbides (M Ni, Co) for Oxygen Reduction Reaction}, url = {https://oadoi.org/10.1016/j.electacta.2016.09.023}, volume = {216}, year = {2016} }