Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising

Chenyu You, Wenxiang Cong, Ge Wang, +8

IEEE Access

One-pot preparation of magnetic N-heterocyclic carbene-functionalized silica nanoparticles for the Suzuki–Miyaura coupling of aryl chlorides: improved activity and facile catalyst recovery

Hengquan Yang, Yunwei Wang, Yong Qin, +5

Green Chemistry

NanoparticlesMagnetic PropertiesEngineeringPolymer NanotechnologyOrganic Chemistry +18

Three-dimensional cubic mesoporous materials with a built-in N-heterocyclic carbene for Suzuki–Miyaura coupling of aryl chlorides and C(sp3)-chlorides

Hengquan Yang, Guang Li, Zhancheng Ma, +2

Journal of Catalysis

Materials ScienceBuilt-in N-heterocyclic CarbeneAryl ChloridesEngineeringOrganic Chemistry +4

Vegetation degradation along water gradient leads to soil active organic carbon loss in Gahai wetland

Jiangqi Wu, Weiwei Ma, Guang Li, +3

Ecological Engineering

Organic GeochemistryCarbon SequestrationBiogeochemistryEngineeringSoil Carbon Cycle +6

Mesoporous Ethane−Silicas Functionalized with a Bulky N-Heterocyclic Carbene for Suzuki−Miyaura Coupling of Aryl Chlorides and Benzyl Chlorides

Hengquan Yang, Xiaojing Han, Guang Li, +2

The Journal of Physical Chemistry C

Materials ScienceMesoporous Ethane−silicas FunctionalizedOrganic Material ChemistryCross-coupling ReactionAryl Chlorides +11

IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data

Guang Li, Hongzhu Cai, Zhushi He, +3

Geophysics

Rationally designed palladium complexes on a bulky N-heterocyclic carbene-functionalized organosilica: an efficient solid catalyst for the Suzuki–Miyaura coupling of challenging aryl chlorides

Guang Li, Hengquan Yang, Wei Li, +1

Green Chemistry

Materials ScienceChemical EngineeringCross-coupling ReactionAryl ChloridesEfficient Solid Catalyst +11

Summarization-based Video Caption via Deep Neural Networks

Guang Li, Shubo Ma, Yahong Han

Natural Language ProcessingVisual Content DrawsDeep Neural NetworksEngineeringMachine Learning +10

Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition

Guang Li, Zhushi He, Jingtian Tang, +3

Geophysics

De-noising low-frequency magnetotelluric data using mathematical morphology filtering and sparse representation

Guang Li, Xiaoqiong Liu, Jingtian Tang, +3

Journal of Applied Geophysics

MagnetismSparse RepresentationEngineeringMagnetic ResonanceSignal Reconstruction +7