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The robustness of interdependent directed networks with intra-layer angular correlations[J]. Frontiers in Physics, 2021. (SCI JCRR:S-Q2, -NybR:S-3:S ]c6e) 勇ez(WQ~QUO~gvƉ҉ N N[pencN:g6R!jW$N*N~^ NB\QQUOvsQ'`NYB\Q~h'`KNvsQ|0 0Ssp10\vNOX[v gTQ~L]eQSfzz-N zzPWhX[(W:_vNckvvsQ'`{y:N B\QQUOvsQ'` 0 0Ssp20B\QQUOvsQ'`O4xOWvNOX[ gTQ~vh'` Te@wB\QQUOvsQ'`vMNO vNOX[ gTQ~vh'`OX:_0A4T[g,rXY, j[t. YB\Q~v~gNRxvzۏU\[J]. 5uP[yb'Yf[f[b, 2021, 50(01): 106-120. 5uP[yb'Yf[f[bEI EI, PKU, CJCR, CSCD OeA5.hQV~irtN YBg|~0-NV|~yf['YO4 f[bJ\UxZS[WbJTv^_gsObJTVY1 &YB\Q~'YpencƉ҉ NReNzNRqRv~NmX^!j0KmS:gtxvz!h~ 4l[ 201931250008SR|~yf['YOT~irtN YBg|~fgf[!h0]ShN{gGaw w^y~Q~ƖSORRf[L:N0,{N{:g zޏc(WgGaw wTn-NS%c\O(uQYb?z-N Ǐ{hQ@\^SϑSeg w(WnTaw weQ~ TekǏ!n:S+R0 TeNHH^y~Q~v TekÍxvzۏLk SsN[Nv_ TN ۏNek[Uuir^y~Q~v TekvSxvz0oShuihan Qiu, Zengru Di*, Random long-range connections play a key role in Drosophila sleep and wake*gd"}0R ^*gS^ Shuihan Qiu, Kaijia Sun and Zengru Di *, Collective Dynamics of Neural Networks With Sleep-Related Biological Drives in Drosophila, Frontiers in Computational Neuroscience, 2021, Vol.15, p.616193-616193.https://www.frontiersin.org/articles/10.3389/fncom.2021.616193/full2021.5.3'Fron< tiers in Computational NeuroscienceQ2/Q3 SCIE, ;Sf[4:SNg 201931250007,gN(WяNt^QygSNf[/g;mR, ;NSb~QkhTR+R>NLN!kv,g_>e~O Tswm_>e~O ygGlb]\OۏU\v^N'Y[NAmWMRl]\O0(WُNf[t^-N NN\OSheN{ NN\OSheN{ Nh\OvMRck(WN[r` ؏ gN*N\ ]\OYNQYb?z6k0SY ,gNygSNVQf[/gNAm;mR OY|~yf['YO I{0',gN(WُNf[t^QvNh\O:N: Characterizing the reputation of evaluators using vectors in the object feature space. vMRYNN[r`0,gbge(W(uTϑeg;R;uċNvX Џ (u YBgQ~velg^NċN|~-N[ċNvOċ0Oel0勹el NNY9hnc[av{|+R:Nk*NċN~QNNvXTϑ Te_N:N[aRMS fvQ(ϑvN 2{tet-N l NAmETH lQ>mTW l vQNfNODeep learning //// Lingbo Li , ***, An Zeng*, and Zengru Di. Understanding the an< ti-contagion process and reopening of China in COVID-19 via coevolution network of epidemic and awareness [J]. Complexity, 2021. (JCR2020) Q1/Q2, https://www.hindawi.com/journals/complexity/2021/6623427/yxyvWNOS ToS OdQ~vu`2cN~Nmb` YV{euxvz SN^'Yf[ZQYf[u]\O萫u`2cf[uNyxvzyv!h~yvLingbo Li , Ying Fan , An Zeng , and Zengru Di. Understanding the anti-contagion process and reopening of China in COVID-19 via coevolution network of epidemic and awareness [J]. 2021.5.11 SCIE, ] zb/g3:SY[z` V 201731250001ُNt^-N;NۏLN CCEPg^6wSޏc NS WN6wSRv(uw!jW $N*N]\O0 2020t^9gSNN,{NJ\fNO x deep learning NfN v^_Oy*NN0(0.1) 2020t^10gb?zv^SNN ,{NJ\ CAAE 5uVN^y~5uut'YO b?ze_Ne NI{VY;`VYekO:N10:300 v^(WO NۏLbJTU\:y02 2021t^5gSR |~yf['YO ۏLposterU\:y02 ( 6wSv gTޏcSQYO]_ vMRb?zN ,{]NJ\ CAAE VEkvu[W 0 Kaijia Sun, Haixiang Wang, Yunxian Bai, Wenjing Zhou and Liang Wang. MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation.  2021.6.14 Frontiers in Neuroscience SCIE, ;Sf[2:Sr2020t^10gb?zv^SNN ,{NJ\ CAAE 5uVN^y~5uut'YO b?ze_Ne NI{VY;`VYekO:N10:300 v^(WO NۏLbJTU\:y02 2021t^5gSR |~yf['YO ۏLposterU\:y02 Shuihan Qiu, Kaijia Sun and Zengru Di.. Collective Dynamics of Neural Networks With Sleep-Related Biological Drives in Drosophila.  2021.5.30( Frontiers in Computational Neuroscience]؞e 201921250030ُNt^KNQ;NۏLv]\O:NxvzNeQ\O vMR]S_Rekbg0S_MR:NǏ 0Il틹e0WVƖ 0vpencۏLϑSeleR:S ]S_ gNyO NvNSyNW^~NmSU\RS`Q _T{_f[b Oy ċN 20 6eƖtet-N0e0'kI{VvNS0GDP I{[‰penc ~TVS z^NW^RS `Q xvzNS NGSTNS NMv0W:S-NW^RS]_ 30 ^lۏLf[/gNAm Y!kSNNS|~NAmO0_>e~O ygNVQؚ!hYe^NAm 40 ,gf[t^|Y{NS0Y;NSO^!jvsQe.s -d^[UY;NSOy!jW v^][bv sQ~010*NNyx 1 WNё:ggQ~v|~'`Θi!jbN^[xvz;N#!jW-d^0!jb0ed QI{ 2 VQ5uP[FUR gPlQSΘichϑSxvz *jTyv Ng~R;N#g^Θic hSO|0dQyvbJTI{ 20f[/g;mR SNf[bUxZS[W0|~WLhOI{ \O:N~QNhN'Y[[ё] zxvzWۏLc ygNAmeeT  0WNё:ggQ~v|~'`Θi!jbN^[xvz 0 ;NxvzQ[  ;Ng^ё:ggQ~~g0DN:P~gNSё|~ЏL :g6R v^ cgq!jWĉR(u MATLAB !jbQё|~'`ΘivoSǏ z [Θieg nON:PCgDNݏ~s0X[>klRs 0Θi OdRbNibce 0Θiv{ch ce\O(u0Θi.YLQeRce\O(uۏLcvz N[s[ё|~'`Θiv20S cQ[('`^0 *NN!.s  (W^vc[ Nrz#e.sdƖtet0!jW-d^!jb0edQI{ ]\O0sf܏ 201921250023bS`N 201921250022_>e~O khTSNQ~~SZS_~~O ۏLf[/g0e.sRNSۏU\NAmI{0 f[/gۏU\ 10[bUxX_ 20tetRgKNMRvyx~g %eQ0O9ee_Sh  30OSR^DQ^YNyx;mRYSNyxe0g~byxe.sI{  40.^RvQN Tf[yx;mRYQՋ[Nx0~~ZS_[I{ ;*NN!.s[0[d\O0pencYt0edQv(W^c[ N;N[b0 VN(WO9e\*gSh Ee NDe\O:N/edPge REu 2019212500211 SN ASVN up;mQV{yv WN'Y:\^{|^y~Q~vup;mQV{!jbxvz V[~ 2021t^4g-N WN'Y:\^^y~Q~v^teKmՋxvz 2 SNV[6qyf[Wёb Nyv-'Y:\^Y:S^y~Q~!jWxvz V[~ 2019t^-N 'YvB\:SOS Ovc 3 Y!kSNf[/gO Y-NV{Nw^y~yf[OI{NgWk 201921250020f[/gbg f[/geGumbel-softmax-based optimization: a simple general framework for optimization problems on graphsN\O SSfN)RWNGumbel-softmaxb/gv~TOSel f[/gNAm 2020ƖzfQΘx%]\ObJTSe 2020'Ylalgc6Rb,gHevNhċ0Of[/gxO(ABaCAS 2020) S4YbJT 2021 YBg|~ N`%S4YbJT yv S5uzvhƋ+Ryvm[ #6R\OpencƖ0!jW[sS~gGl;`#N]SfNS f[/gbJTABaCAS2020'YpencNN]zf(W'YlsXv^(uRO:W f[/gbJTPM2.5-GNNTWwƋvWNV^y~Q~vPM2.5Kmel(2') http://abacas.see.scut.edu.cn/Conference2020/ConferenceAgenda.aspxf[/geGumbel-softmax-based optimization: a simple general framework for optimization problems on graphs Qzc https://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-021-00086-z *NN!.sv^[sez8h_{lGSONEvoGSO [bez;NՋ [bezdQ]\O0Yaoxin Li et al. Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphs[J]. Computational Social Networks, 2021, 8 : 1-16.Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphsComputa< tional Social NetworksCB2020'Ylalgc6Rb,gHevNhċ0Of[/gxO(ABaCAS 2020) S4YbJT2 2021 YBg|~ N`%S4YbJT1 1SfN)RWNGumbel-softmaxb/gv~TOSel3uS2020104538589 Ngklb 201921250019f[/g;mR 2021.05 SR|~yf['YO 2021.04 SRQYybYxO 2020.12 SRUxZS[W f[/gbg eNbQb~^(u7bL:Nv9eۏcP0JCR Q2g RPhysica Aft^RSh /fdN T[^Y/UN\O0 yxyvxvz!j_cvz0e][b ckb?zSSCIg RScientometrics0 SNyvċ[N[^OSNeEQ[U0SNWёYyv 2021.4w bbzy0{lI{]\O0RLI H, ZENG A. Improving recommendation by connecting user behavior in temporal and topological dimensions[J]. Physica A: Statistical Mechanics and its Applications, 2022, 585: 126378. https://doi.org/10.1016/j.physa.2021.126378. SR'`Ǐcvz(W~(u7bL:N!j_ [s gcP{lۏL9eۏ v^xvzN{l|nx^N YBg^vCgaS 0 \N2022t^1gck_Sh *NN!.se.sx0cQel0{0edQNO9eI{0[^c[ N*NNrz[bve0RNgIlN*,u\l,ss,Ngklb.-NVS:SW]_TSSRKm[J].~NQV{,2021,37(03):71-75. 0S'Y8h_0CSSCIg R0(1.67')~NQV{ s\ 201921250018(W2020t^9g2021t^8g SN~Qf[/gx ۏLe.sNU\:y ;NVSb YBgQ~(Wu;m-Nv^(u0 YBgQ~pef[!jWI{0 Te9hncNNvU\:y b]atQveTvsQe.s v^(W~O-Nc cGSꁫf[/g4ls^0 TeQYkN )R(u YBgQ~Rg(W~|~0SN2020t^|~yf['YOv^ZPsQN 0gSvNLuNSyQ~vSfyr'` 0v;NbJToSN[^yv 0 N&^N beu[-NVNSAmRvq_Txvz 0v^[byvRgDe/penc6eƖNRg0N&^N?eV{e,gRgeR?zI{She 0COVID-19u`2c>y:SvKmSc*v^͑ 0Z 0COVID-19u`2c>y:SvKmSc*v^͑ 0 ,ge'}ߍeN Ǐ^!j!jbve_QsNu` Od_S2cǏ zp ,gN#!jWv^z0Nxg^0pencRg0Vb_~6RI{]\OuP[#, Rel, ؚSf`, ***. COVID-19u`2c>y:SvKmSc*v^͑[J]. YBg|~N YBg'`yf[, 2020, 17(4): 1-8. g RR:SCSCD chttp://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2020.04.001 (5')CSCD,e.SN2020t^|~yf['YOv^ZPsQN 0gSvNLuNSyQ~vSfyr'` 0v;NbJTo2 Qtf=r 201921250015SNyxyvNo.2018AAA0100203 b(Wyv-N@bZPv/fWNT\\lSbcT*Of[`N{lvVPR{|]\O0(uNYt'Yϑpencv{W ev!jWvkSO(u*OxhV0nlhVbEmB\wSy^y~Q~ 0RvfQ\ BNU [yf[z[ NI{VY OSR~~fNO 0JT+R~vt^oۏ 0Image Recognition with Haar wavelet and Pseudoinverse Learning Algorithm based Autoencoders ُ{ezwQ gSR'` b/f,{N\O #[b!jW0_U\[TdQe0 zt 201921250014kN 0 NlQs^`X Nv#NibceHe^xvz 0N Oy b~_ \O:N~Q_>e~OT~N (WǏSvNt^-N#[c~Oe0WpS_>e~OvsQN[ SN~QfNO qQ T 0R{|pencv~el 0NfNv^RN__ OnckNxvzvv (W[^vc[ Nv^~~N$N:WvsQ[v^(W~QqQNpencRg~g0 06evBlTĉR NSOgTRrZS_v #Nibce He^xvz 0*gShVdk NDSe xvzelNaIN\ #Nibce v^(u:Wofib'Y NgTRrZS_:NW@xg NlQs^`X eEQNSO-NvNN[ꁫ NlQs^L:NV^vtxvz NSOB\b NۏNekvflQs^OP}Yvq_TV }0ё2m 201921250013mSNN ^y~Q~ꁨR~~NoSSt ]\O [bN{OeN\O _b?z N{EIOe]U_(u2021CIS N\O *gSh SRN2020CISO02020swm!h:S YBg|~MRl[W02021SNzfn'YO0} 0Kernel-Based Autoencoders for Large-Scale Representation Learning 0SR N\O XdA primary challenge in kernel-based representation learning comes from the massive data and the excess noise feature. To breakthrough this challenge, this paper investigates a deep stacked autoencoder framework, named improved kernelized pseudoinverse learning autoencoders (IKPILAE), which extracts representation information from each building blocks. The IKPILAE consists of two core modules. The first module is used to extract random features from large-scale training data by the approximate kernel method. The second module is a typical pseudoinverse learning algorithm. To diminish the tendency of overfitting in neural networks, a weight decay regularization term is added to the loss function to learn a more generalized representation. Through numerical experiments on benchmark dataset, we demonstrate that IKPILAE outperforms state-of-art methods in the research of kernel-based representation learning. !.sTo solve the dilemma of large-scale kernel learning, we present the IKPILAE whose kernel matrix is approximated by random fourier features to accelerate the training computation. Meanwhile, the low-dimensional constraint elevates the performance of autoencoders in terms of representation learning. Through some numerical experiments, we demonstrate that our proposed method is a better choice than KPILAE.sS 201921250010f[/gNAmSNSNyf[N{|xvz-N_2021QN% v^ZP:N 0Ultrasensitive fluorescent proteins for imaging neuronal activity 0bJT0 SN,{1J\UxZS[W ZP:N 0Functional network reconstruction of V1 and PM in mouse using causal inference 0bJT _N[S cN f[/gKNf vyS0R(Wb 0Functional network reconstruction of V1 and PM in mouse using causal inference 0cSNSNyf[N{|xvz-N_2021QN% v^ZP:N 0Ultrasensitive fluorescent proteins for imaging neuronal activity 0bJT01 ُNt^-Nb[bN5{f[/gevdQ vQ-N1{](WSSCIg R NSh vQYOV{ckY(W[?zAm z-N0bޏ~$Nt^(Wf[b>NRvUxZS[W-N\O:N;NNۏLRN MR_WSNSRN,{NJ\|~yf['YOv^ۏLwmbU\:y0bSNNV[6qyf[Wё^%`{tyvyg hQbNi[ ?eV{ NW@xYeMn2017N ;N#NSKmebv]< \O0NN\ONrzdQ 0Price Jumping Mechanism and Parameter Estimation Based on Filtered Poisson Process 0 \O:N[^ vMRYNSSCIg R[?zAm z-N0勇ezxvzv/fQÍ^we'`evёNNRvUxZS[W-N\O:N;NNۏLRN MR_WSNSRN,{NJ\|~yf['YOv^ۏLwmbU\:y04 l܏T 201921250008SN 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 ]\ON[^T\OۏL SN|~yf['YO \OS4YbJT 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 e2021t^5g22e T pp SN,g!h_tf[V[͑p[[Nwyf[xvzbTylQ_bJT [gSN~O SN,g~~ONh\Ov 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 kNe/ck_ShedQ-N vMR] gRek~g \*gb?z D N_bJT ]\ONNc~S>ex]\O_v!jW:NW@x ۏNekvʑNh$Ny N Tyr_v]\O_vteT :g6R /fvsQW*NN!jWB\bwQSOvʑvQ̀T^y~:g6Rv]\O *NN!.s#SNYUO㉳Qyf[0wQSOv[s0TevdQ.SN|~yf['YO \OS4YbJT 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 e2021t^5g22e RfNsO 201921250006N2021t^4gR2021t^8g^ (Wm3WOWV[[[SRV[yv  OWN Q~zf͑'YybW@xe (W eWNOR{ggN|~ -N;NbbwmlTgQUvB\-Nzzh_~ހvf[`NQ~^!jNR NR/fte*NyvsQ͑N͑pzQ {| vR0yv؏(WۏL-N N2020t^10gSNN {|awT_!jWxvz yv ;N#wmlve.sxTeTf[`NQ~^!jNR0yv؏(WۏL-N UxZS[W SN 0klN ƖfNO 0 SN>Oe 201921250005e: Projection of global meat consumption basing on SSP-RCP scenarios with machine learning method. ۏL e: Applying interpretable machine learning for Cross-national meat consumption driver analysis and prediction . Food Security. (In revision)-N\O e: -NV{|O!jWxvz~S YBg|~Ɖ҉ Nvxvz^. |~] ztN[. (In revision)-N\O e: Higher increase of heatwave intensity, temperature and duration in the future under global warming. Geophysical Research Letter. (In revision)-N\O e: Estimation of the relationship between meteorological factors and heat stroke basing on deep learning method . Environmental Research Letter. (In revision)-N\O V[6qyf[WёYNy(S: 4214100128)3ufNSNdQJia et al. Applying interpretable machine learning for Cross-national meat consumption driver analysis and prediction. Food Security. 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