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| 1. | Jicai Huang, Hao Kang, Min Lu, Shigui Ruan and Wenting Zhao |
| Stability Analysis of an Age-Structured Epidemic Model with Vaccination and Standard Incidence Rate | |
Nonlinear Analysis: Real World Applications 66 (2022), 103525. | |
| 2. | Arnaud Ducrot, Hao Kang and Pierre Magal |
| Hopf bifurcation theorem for second order semi-linear Gurtin-MacCamy equation | |
Journal of Evolution Equations 22 (2022) 72. | |
| 3. | Tien-Cuong Dinh, Keiji Oguiso and Xun Yu |
| Smooth complex projective rational surfaces with infinitely many real forms | |
J. Reine Angew. Math. | |
| 4. | Feng-Yu Wang and Bingyao Wu |
| Wasserstein convergence for empirical measures of subordinated diffusion processes on Riemannian manifolds | |
Potential Anal. 59 (2023), 933-954. | |
| 5. | Feng-Yu Wang |
| Distribution Dependent Reflecting Stochastic Differential Equations | |
Sci. China Math. 66 (2023), 2411-2456. | |
| 6. | Feng-Yu Wang |
| Exponential ergodicity for non-dissipative McKean-Vlasov SDEs | |
Bernoulli 29 (2023), 1035-1062. | |
| 7. | Feng-Yu Wang |
| Convergence in Wasserstein Distance for Empirical Measures of Semilinear SPDEs | |
Ann. Appl. Probab. 33 (2023), 70-84. | |
| 8. | Xing Huang and Feng-Yu Wang |
| Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise | |
J. Math. Anal. Appl. 514(2022), 126301: 21pp. | |
| 9. | Xing Huang, Yulin Song and Feng-Yu Wang |
| Bismut formula for intrinsic/Lions derivatives of distribution dependent SDEs with singular coefficient | |
Discrete Contin. Dyn. Syst.-A 42(2022), 4597-4614. | |
| 10. | Feng-Yu Wang |
| Distribution dependent SDEs for Navier-Stokes type equations | |
Electron. Commun. Probab. 27(2022), 1-12. | |
| 11. | Feng-Yu Wang |
| Convergence in Wasserstein distance for empirical measures of Dirichlet diffusion processes on manifolds | |
J. Eur. Math. Soc. 25 (2023), 3695-3725. | |
| 12. | Panpan Ren, Michael Röckner and Feng-Yu Wang |
| Linearization of of nonlinear Fokker-Planck equations and applications | |
J. Differential Equations. 322(2022), 1-37. | |
| 13. | Feng-Yu Wang |
| Wasserstein convergence rate for empirical measures on noncompact manifolds | |
Stochastic Process. Appl. 144(2022), 271-287. | |
| 14. | Vladimir I.Bogachev, Alexander V. Shaposhnikov and Feng-Yu Wang |
| Sobolev-Kantorovich inequalities under CD(0,∞) condition | |
Commun. Contemp. Math. 24(2022), 2150027: 27pp. | |
| 15. | Huaming Wu, Junqi Chen, Tu N. Nguyen and Huijun Tang |
| Lyapunov-Guided Delay-Aware Energy Efficient Offloading in IIoT-MEC Systems | |
IEEE Trans. Ind. Inform. | |
| 16. | Yongting Zhang, Yonggang Gao, Huanhuan Wang, Huaming Wu, Youbing Xia and Xiang Wu |
| A Secure High-Order Gene Interaction Detection Algorithm Based On Deep Neural Network | |
IEEE/ACM Trans. Comput. Biol. Bioinform. | |
| 17. | Xiayang Li, Moxuan Chen and Huaming Wu |
| Multiple Errors Correction for Position-Limited DNA Sequences with GC Balance and No Homopolymer for DNA-based Data Storage. | |
Brief. Bioinform. | |
| 18. | Guanjin Qu, Zihui Yan and Huaming Wu |
| Clover: tree structure-based efficient DNA clustering for DNA-based data storage | |
Brief. Bioinform. | |
| 19. | Chaogang Tang and Huaming Wu |
| Reputation-Based Service Provisioning Scheme in Vehicular Fog Computing | |
J. Syst. Architect. | |
| 20. | Kaixin Fan, Huaming Wu and Zihui Yan |
| Constrained Channel Capacity for DNA-based Data Storage Systems | |
IEEE Commun. Lett. | |
| 21. | Zihui Yan, Cong Liang and Huaming Wu |
| Upper and Lower Bounds on the Capacity of the DNA-based Storage Channel | |
IEEE Commun. Lett. | |
| 22. | Chaogang Tang, Chunsheng Zhu, Huaming Wu, Lei Ning and Joel J. P. C. Rodrigues |
| Toward Failure-Aware Energy-Efficient Service Provisioning in Vehicular Fog Computing | |
IEEE Glob. Commun. Conf. | |
| 23. | Anqi Gu, Huaming Wu, Huijun Tang and Chaogang Tang |
| Deep Reinforcement Learning-Guided Task Reverse Offloading in Vehicular Edge Computing | |
IEEE Glob. Commun. Conf. | |
| 24. | Chaogang Tang, Huaming Wu and Chunsheng Zhu |
| Satisfaction Optimization in Failure-Aware Vehicular Edge Computing | |
IEEE Glob. Commun. Conf. | |
| 25. | Youming Chen, Weiguo Lyu and Song Yang |
| A note on the differential calculus of Hochschild theory for A∞-ALGEBRAS | |
Electron. Res. Arch. 30 (2022), 3211-3237. | |
| 26. | Sheng Rao, Song Yang, Xiangdong Yang and Xun Yu |
| Hodge cohomology on blow-ups along subvarieties | |
Math. Nachr. | |
| 27. | Song Yang and Xun Yu |
| On lattice polarizable cubic fourfolds | |
Res. Math. Sci. | |
| 28. | Alexander Grigor'yan, Eryan Hu and Jiaxin Hu |
| Mean value inequality and generalized capacity on doubling spaces | |
J. Pure and Applied Funct. Anal. | |
| 29. | Jianpeng Zhang, Hongchang Chen, Dingjiu Yu, Yulong Pei and Yingjun Deng |
| Cluster-preserving sampling algorithm for large-scale graphs | |
Sci. China Inform. Sci. 66 (2023), 112103:17pp. | |
| 30. | Cui Ning and Yaohong Wang |
| Low-regularity integrator for the Davey-Stewartson system: elliptic-elliptic case | |
Comput. Methods Appl. Math. 22 (2022) 675-684. | |
| 31. | Han Zhou and Wenyi Tian |
| Two time-stepping schemes for sub-diffusion equations with singular source terms | |
J. Sci. Comput., 92 (2022), 70: 28pp. | |
| 32. | Yu Zhu, Yingchun Ye, Mengyang Li, Ji Zhang and Ou Wu |
| Investigating annotation noise for named entity recognition | |
Neural Comput. App. | |
| 33. | Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li and Ou Wu |
| Exploring developments of the AI field from the perspective of methods, datasets, and metrics | |
Inform. Process. Manag. | |
| 34. | Rujing Yao, Linlin Hou, Lei Yang, Jie Gui and Ou Wu |
| Deep human answer understanding for natural reverse QA | |
Knowl-Based Syst. | |
| 35. | Yifei Wu |
| Instability of the standing waves for the nonlinear Klein-Gordon equations in one dimension | |
Tran. AMS, (2022) | |
| 36. | Genming Bai, Buyang Li, Yifei Wu |
| A constructive low-regularity integrator for the 1D cubic nonlinear Schrödinger equation under the Neumann boundary condition. | |
IMA J. Numer. Anal., (2022) | |
| 37. | Chenxin Wang, Zhenwei Zhang, Zhichang Guo, Tieyong Zeng and Yuping Duan |
| Efficient SAV algorithms for curvature minimization problems | |
IEEE T. Circ. Syst. Vid. | |
| 38. | Qifeng Gao, Rui Deng, Linyuan Wang, Xue Bin and Yuping Duan |
| LRIP-Net: Low-resolution image prior based network for limited-angle CT reconstruction | |
IEEE T. Radiat. Plasma. | |
| 39. | Kathy Q. Ji, Dax T.X. Zhang |
| A cyclic analogue of Stanley's shuffling theorem | |
Electron. J. Combin., 29 (2022) P4.20. | |
| 40. | Thomas Y. He, Kathy Q. Ji and Alice X.H. Zhao |
| Overpartitions and Bressoud's conjecture, I | |
Adv. Math. 404 (2022), Paper No. 108449, 81 pp. | |
| 41. | Yu Li, Manting Xie and Chunguang Xiong |
| A new family of mixed method for the biharmonic eigenvalue problem based on the first order equations of Hellan-Herrmann-Johnson type | |
J. Sci. Comput. | |
| 42. | Fei Xu, Qiumei Huang and Manting Xie |
| An efficient adaptive multigrid method for the elasticity eigenvalue problem | |
BIT. Numerical Mathematics | |
| 43. | Duo Xu and Baofang Song |
| Size-dependent transient nature of localized turbulence in transitional channel flow | |
J. Fluid Mech. | |
| 44. | Jun Hu, Haoyang Wu and Baofang Song |
| Linear instability and nonlinear flow states in a horizontal pipe flow under bottom heating and transverse magnetic field | |
J. Fluid Mech. | |
| 45. | Alexander Ostermann, Fangyan Yao, Yifei Wu |
| A second order low-regularity integrator for the nonlinear Schrödinger equation | |
Adv. Contin. Discrete Models, 23 (2022), 14 pp. | |
| 46. | Cui Ning, Yifei Wu, Xiaofei Zhao |
| An embedded exponential-type low-regularity integrator for mKdV equation | |
SIAM J. Numer. Anal. | |
| 47. | Jia Shen, Avy Soffer, Yifei Wu |
| Almost sure well-posedness and scattering of the 3D cubic nonlinear Schrödinger equation | |
Comm. Math. Phys. | |
| 48. | Alan J.X. Guo, Cong Liang and Qing-Hu Hou |
| Deep squared Euclidean approximation to the Levenshtein distance for DNA storage | |
Thirty-ninth International Conference on Machine Learning | |
| 49. | Chaogang Tang, Yubin Zhao and Huaming Wu |
| Lyapunov-guided optimal service placement in vehicular edge computing | |
China Commun. | |
| 50. | Renzhi Lu, Zhenyu Jiang, Huaming Wu, Yuemin Ding, Dong Wang and Hai-Tao Zhang |
| Reward shaping-based actor-critic deep reinforcement learning for residential energy management | |
IEEE Trans. Ind. Inform. | |
| 51. | Junqi Chen, Huaming Wu，Ruidong Li and Pengfei Jiao |
| Green-parallel online offloading for DSCI-type tasks in IoT-edge systems | |
IEEE Trans. Ind. Inform. | |
| 52. | Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan and Di Jin |
| Exploring temporal community structure via network embedding | |
IEEE Trans. Cybern. | |
| 53. | Dong Wang, Kun Shang, Huaming Wu and Ce Wang |
| Decoupled R-CNN: Sensitivity-specific detector for higher accurate localization | |
IEEE Trans. Circ. Syst. Vid. | |
| 54. | Mengzhou Gao, Pengfei Jiao, Ruili Lu, Huaming Wu, Yinghui Wang and Zhidong Zhao |
| Inductive link prediction via interactive learning across relations in multiplex networks | |
IEEE Trans. Comput. Soc. Syst | |
| 55. | Huijun Tang, Huaming Wu, Guanjin Qu and Ruidong Li |
| Double deep Q-network based dynamic framing offloading in vehicular edge computing | |
IEEE Trans. Netw. Service Manag. | |
| 56. | Lei Tian and Huaming Wu |
| MI-GCN: Node mutual information-based graph convolutional network | |
The Web Conference | |
| 57. | Fengguang Su, Yu Zhu, Ou Wu and Yingjun Deng |
| Submodular meta data compiling for meta optimization, | |
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | |
| 58. | Rui Wang, Shijie Li, Qing Yin, Ji Zhang, Rujing Yao and Ou Wu |
| Improved page rank and new indices for academic impact evaluation using AI papers as case studies | |
J. Inf. Sci. | |
| 59. | Rui Wang, Weixuan Xiong, Qinghu Hou and Ou Wu |
| Tackling the imbalance for GNNs | |
International Joint Conference on Neural Networks | |
| 60. | Mengyang Li, Fengguang Su, Ou Wu and Ji Zhang |
| Logit perturbation | |
Association for the Advancement of Artificial Intelligence, AAAI. | |
| 61. | Xiaoling Zhou, Ou Wu and Chao Jiang |
| Increasing naturalness of human-machine dialogue: the users' choices inference of options in machine-raised questions | |
Knowl-Based Syst. | |
| 62. | Xiaoling Zhou, Ou Wu, Weiyao Zhu and Ziyang Liang |
| Understanding difficulty-based sample weighting with a universal difficulty measure | |
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | |
| 63. | Zaihui Gan, Xianpeng Hu and Fanghua Lin |
| Defects in liquid crystal flows | |
SIAM J. Math. Anal. 54 (2022) 1695-1717. | |
| 64. | Xing Huang, Yulin Song and Feng-Yu Wang |
| Bismut formula for intrinsic/Lions derivatives of distribution dependent SDEs with singular coefficients | |
Discrete Contin. Dyn. Syst. | |
| 65. | Xing Huang and Feng-Yu Wang |
| Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise | |
J. Math. Anal. Appl. | |
| 66. | Xing Huang and Fen-Fen Yang |
| Comparison theorem for path dependent SDEs driven by G-Brownian motion | |
Stoch. Anal. Appl. | |
| 67. | Jianhai Bao, Xing Huang and Shao-Qin Zhang |
| Convergence rate of the EM algorithm for SDEs with low regular drifts | |
J. Appl. Probab | |
| 68. | Xiliang Fan, Xing Huang, Yongqiang Suo and Chenggui Yuan |
| Distribution dependent SDEs driven by fractional Brownian motions | |
Stochastic Process. Appl. | |
| 69. | Xiequan Fan, Pierre Alquier and Paul Doukhan |
| Deviation inequalities for stochastic approximation by averaging | |
Stochastic Process. Appl. | |
| 70. | Paul Doukhan, Xiequan Fan and Zhi-Qiang Gao |
| Cramer moderate deviations for a supercritical Galton-Watson process | |
Statist. Probab. Letters | |
| 71. | Benjamin Bobbia, Paul Doukhan and Xiequan Fan |
| A review on some weak dependence conditions | |
Grad. J. Math. | |
| 72. | Rui Ding, Joseph Bartlett, Jinming Duan and Yuping Duan |
| DVS-Net: dual-domain variable splitting network for accelerated parallel MRI data | |
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society | |
| 73. | Yuping Duan, Qiuxiang Zhong, Xue-Cheng Tai and Roland Glowinski |
| A fast operator-splitting method for Beltrami color image denoising | |
J. Sci. Comput. | |
| 74. | Kaiwen Chen, Duo Xu and Baofang Song |
| Propagation speed of turbulent fronts in pipe flow at high Reynolds numbers | |
J. Fluid Mech. 935 (2022) A11: 22pp. | |
| 75. | Haoyang Wu and Baofang Song |
| A numerical study of the side-wall effects on turbulent bands in channel flow at transitional Reynolds numbers | |
Comput. & Fluids 240 (2022) 105420. | |
| 76. | Gengsheng Wang, Yubiao Zhang and Enrique Zuazua |
| Flow decomposition for heat equations with memory | |
J. Math. Pures Appl. 158 (2022) 183-215. | |
| 77. | William Y.C. Chen |
| Cubic equations through the looking glass of Sylvester | |
College Math. J. | |
| 78. | Qiuxiang Zhong, Ryan Wen Liu and Yuping Duan |
| Spatially adapted first and second order regularization for image reconstruction: from an image surface perspective | |
J. Sci. Comput. | |
| 79. | Zhi-fang Liu, Huibin Chang and Yuping Duan |
| Variational Rician noise removal via splitting on spheres | |
SIAM J. Imaging Sci. | |
| 80. | Wen Xu, Yong Wang, Weimin Huang and Yuping Duan |
| Efficient nonlinear mass-spring model for anatomical virtual reality | |
IEEE Trans.Instrum. Meas. | |
| 81. | Yueyun Liu, Yu Wang and Yuping Duan |
| Effective 3D boundary learning via a nonlocal deformable network | |
IEEE International Symposium on Biomedical Imaging | |
| 82. | Yueyun Liu, Yuping Duan and Tieyong Zeng |
| Learning multi-level structural information for small organ segmentation | |
Signal Process. | |
| 83. | Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang and Huaming Wu |
| An effective and robust framework by modeling correlations of multiplex network embedding | |
IEEE International Conference on Data Mining | |
| 84. | Yuyang Cui, Huaming Wu, Yongting Zhang, Yonggang Gao and Xiang Wu |
| A spectral clustering algorithm based on differential privacy preservation | |
International Conference on Algorithms and Architectures for Parallel Processing | |
| 85. | Chaogang Tang, Chunsheng Zhu, Huaming Wu, Chunyan Liu and Joel J. P. C. Rodrigues |
| Caching assisted correlated task offloading for IoT devices in mobile edge computing | |
IEEE Global Communications Conference | |
| 86. | Chaogang Tang and Huaming Wu |
| Optimal computational resource pricing in vehicular edge computing: A Stackelberg game approach | |
J. Syst. Architect. | |
| 87. | Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He and Huaming Wu |
| Generative evolutionary anomaly detection in dynamic networks | |
IEEE Trans. Knowl. Data. En. | |
| 88. | Ziru Zhang, Nianfu Wang, Huaming Wu, Chaogang Tang and Ruidong Li |
| MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments | |
IEEE Internet Things J. | |
| 89. | Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Keying Ye and Chengzhong Xu |
| esDNN: Deep neural network based multivariate workload prediction approach in cloud computing environments | |
ACM Trans. Internet Technol. | |
| 90. | Min Xue, Huaming Wu and Ruidong Li |
| DNN migration in IoTs: emerging technologies, current challenges and open research directions | |
IEEE Consum. Electr. M. | |
| 91. | Huijun Tang, Huaming Wu, Yubin Zhao and Ruidong Li |
| Joint computation offloading and resource allocation under task-overflowed situations in mobile edge computing | |
IEEE Trans. Netw. Service Manag. | |
| 92. | Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He and Wenjun Wang |
| HB-DSBM: Modeling the dynamic complex networks from community level to node level | |
IEEE Trans. Neural Netw. Learn. Syst. | |
| 93. | Seokho Jin and Wenjun Ma |
| A note on non-ordinary primes for some genus-zero arithmetic groups | |
Journal of Number Theory | |
| 94. | Haixiang Zhang, Lifang Hou and Lei Liu |
| A selective review of high-dimensional mediation analyses in DNA methylation studies | |
In Guan, Weihua (Ed.), Epigenome-Wide Association Studies: Methods and Protocols, DOI: 10.1007/978-1-0716-1994-0. | |
| 95. | Tianzhen Wang and Haixiang Zhang |
| Optimal subsampling for multiplicative regression with massive data | |
Stat. Neerl. | |
| 96. | Meiling Yue, Fei Xu and Manting Xie |
| A multilevel newton's method for the Steklov eigenvalue problem | |
Adv. Comput. Math. | |
| 97. | Kathy Q. Ji |
| A Combinatorial Proof of a Schmidt Type Theorem of Andrews and Paule | |
Electron. J. Combin. 29 (2022) P1.24. | |
| 98. | Kathy Q. Ji |
| The q-log-concavity and unimodality of q-Kaplansky numbers | |
Discrete Math. 345 (2022) 112821. |
Center for Applied Mathematics, Tianjin University, No.92 Weijin Road, Tianjin 300072, P. R. China