Department of Mathematics

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  • 2023

    A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification: Extended abstract

    Han, C., Chen, J., Tan, M., Ng, M. K. & Wu, Q., 3 Apr 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE, p. 3885-3886 2 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

    Luo, Z., Guo, Q., Cheung, K. C., See, S. & Wan, R., Oct 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV). Paris, France: IEEE, p. 22401-22411 11 p. (International Conference on Computer Vision (ICCV)).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    2 Citations (Scopus)

  • DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization

    Dong, Q., Zhou, F., Kang, N., Xie, C., Zhang, S., Li, J., Peng, H. & Li, Z., 27 Jun 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). 1st ed. Washington, DC: AAAI press, p. 4250-4258 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37, no. 4).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Domain Decorrelation with Potential Energy Ranking

    Pei, S., Sun, J., Xu, R. Y. D., Xiang, S. & Meng, G., 27 Jun 2023, Proceedings of 37th AAAI Conference on Artificial Intelligence, AAAI 2023. Williams, B., Chen, Y. & Neville, J. (eds.). 1st ed. Washington, DC: AAAI press, p. 2020-2028 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 2).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process

    Liu, H., Zhou, M., Jing, L. & Ng, M. K., 27 Oct 2023, MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia. 1st ed. Association for Computing Machinery (ACM), p. 6212-6222 11 p. (Proceedings of the ACM International Conference on Multimedia).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings

    Ledent, A., Alves, R., Lei, Y., Guermeur, Y. & Kloft, M., 27 Jun 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). Washington, DC: AAAI press, p. 8447-8455 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 7).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    3 Citations (Scopus)

  • Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks

    Gao, Y., Gu, Y. & Ng, M. K., Jul 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). ML Research Press, p. 10676-10707 32 p. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    2 Citations (Scopus)

  • Hypervolume Maximization: A Geometric View of Pareto Set Learning

    Zhang, X., Lin, X., Xue, B., Chen, Y. & Zhang, Q., Dec 2023, 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural Information Processing Systems Foundation, p. 1-28 28 p. (Advances in Neural Information Processing Systems; vol. 36)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    6 Citations (Scopus)

  • Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract)

    Wu, H., Yan, Y., Lin, G., Yang, M., Ng, M. K. & Wu, Q., 3 Apr 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. Anaheim, CA, USA: IEEE, p. 3829-3830 2 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks

    Lin, L., Lam, J., Shi, P., Ng, M. K. & Lam, H. K., 9 Jul 2023, Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. 1st ed. IEEE Computer Society, p. 295-302 8 p. (Proceedings - International Conference on Machine Learning and Cybernetics).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Robust Feature Rectification of Pretrained Vision Models for Object Recognition

    Zhou, S., Meng, G., Zhang, Z., Xu, R. Y. D. & Xiang, S., 27 Jun 2023, Proceedings of 37th AAAI Conference on Artificial Intelligence, AAAI 2023. Williams, B., Chen, Y. & Neville, J. (eds.). 1st ed. Washington, DC: AAAI press, p. 3796-3804 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 3).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process

    Fu, S., Lei, Y., Cao, Q., Tian, X. & Tao, D., 2023, Proceedings of The Eleventh International Conference on Learning Representations, ICLR 2023. International Conference on Learning Representations, p. 1-21 21 p.

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Transferable Feature Selection for Unsupervised Domain Adaptation: Extended Abstract

    Yan, Y., Wu, H., Ye, Y., Bi, C., Lu, M., Liu, D., Wu, Q. & Ng, M. K., 3 Apr 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE, p. 3855-3856 2 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Undetectable Attacks on Boolean Networks

    Zhu, S., Lu, J., Cao, J., Lin, L., Lam, J., Ng, M. & Azuma, S. I., Dec 2023, 2023 62nd IEEE Conference on Decision and Control, CDC 2023. IEEE, p. 1698-1703 6 p. (Proceedings of the IEEE Conference on Decision and Control).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    2 Citations (Scopus)
  • 2022

    An Elastica Geodesic Approach with Convexity Shape Prior

    Chen, D., Cohen, L. D., Mirebeau, J. M. & Tai, X. C., 28 Feb 2022, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. O’Conner, L. (ed.). IEEE, p. 6880-6889 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    6 Citations (Scopus)

  • Approximate Secular Equations for the Cubic Regularization Subproblem

    Gao, Y., Yue, M. C. & Ng, M. K., Nov 2022, 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural Information Processing Systems Foundation, 11 p. (Advances in Neural Information Processing Systems; vol. 35)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint

    Liu, H., Chen, M., Er, S., Liao, W., Zhang, T. & Zhao, T., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML’22). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 13669-13703 35 p. (Proceedings of Machine Learning Research; vol. 162).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    3 Citations (Scopus)

  • Differentially Private SGDA for Minimax Problems

    Yang, Z., Hu, S., Lei, Y., Varshney, K. R., Lyu, S. & Ying, Y., Aug 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Cussens, J. & Zhang, K. (eds.). ML Research Press, p. 2192-2202 11 p. (Proceedings of Machine Learning Research; vol. 180).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    5 Citations (Scopus)

  • Improving Deep Embedded Clustering via Learning Cluster-level Representations

    Yin, Q., Wang, Z., Song, Y., Xu, Y., Niu, S., Bai, L., Guo, Y. & Yang, X., 17 Oct 2022, Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, p. 2226-2236 11 p. (Proceedings of International Conference on Computational Linguistics; vol. 29, no. 1).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Kernel-based methods for solving surface partial differential equations

    Chen, M. & Ling, L., 2 Aug 2022, Boundary Elements and other Mesh Reduction Methods XLV. Cheng, A. H-D. (ed.). WITPress, p. 107-115 9 p. (WIT Transactions on Engineering Sciences; vol. 134).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes

    Liu, H., Jing, L., Yu, D., Zhou, M. & Ng, M., 10 Oct 2022, MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), p. 491-500 10 p. (Proceedings of the ACM International Conference on Multimedia).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    7 Citations (Scopus)

  • Sequence Q-Learning Algorithm for Optimal Mobility-Aware User Association

    Ning, W., Xu, Z., Wu, J. & Tong, T., May 2022, ICC 2022 - IEEE International Conference on Communications. IEEE, p. 726-732 7 p. (IEEE International Conference on Communications (ICC); vol. 2022-May).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition

    Gao, Y., Cheung, K. C. & Ng, M. K., 4 Dec 2022, Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022. Ishibuchi, H., Kwoh, C-K., Tan, A-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (eds.). 1st ed. IEEE, p. 1443-1450 8 p. (Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    6 Citations (Scopus)

  • Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective

    Huang, W., Li, Y., Du, W., Yin, J., Xu, R. Y. D., Chen, L. & Zhang, M., 25 Apr 2022, Proceedings of Tenth International Conference on Learning Representations, ICLR 2022. International Conference on Learning Representations, p. 1-26 26 p.

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Variance-Reduced Randomized Kaczmarz Algorithm In Xfel Single-Particle Imaging Phase Retrieval

    Xian, Y., Liu, H., Tai, X. & Wang, Y., 16 Oct 2022, 2022 IEEE International Conference on Image Processing (ICIP). IEEE, p. 3186-3190 5 p. (IEEE International Conference on Image Processing).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization

    Dong, Q., Muhammad, A., Zhou, F., Xie, C., Hu, T., Yang, Y., Bae, S-H. & Li, Z., 30 Nov 2022, 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Neural Information Processing Systems Foundation, p. 1-16 16 p. (Advances in Neural Information Processing Systems; vol. 35)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
  • 2021

    Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks

    Liu, H., Chen, M., Zhao, T. & Liao, W., 18 Jul 2021, Proceedings of the 38th International Conference on Machine Learning (ICML 2021). Meila, M. & Zhang, T. (eds.). ML Research Press, p. 6770-6780 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    15 Citations (Scopus)

  • Fast Algorithms for Surface Reconstruction from Point Cloud

    He, Y., Huska, M., Kang, S. H. & Liu, H., 26 Sept 2021, Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018, Beijing, China, April 21–24. Tai, X-C., Wei, S. & Liu, H. (eds.). 1st ed. Springer Singapore, p. 61-80 20 p. (Springer Proceedings in Mathematics and Statistics; vol. 360)(IPIP: International Workshop On Image Processing and Inverse Problems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Fine-grained Generalisation Analysis of Inductive Matrix Completion

    Ledent, A., Alves, R., Lei, Y. & Kloft, M., 6 Dec 2021, 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural Information Processing Systems Foundation, Vol. 31. p. 25540-25552 13 p. (Advances in Neural Information Processing Systems; vol. 34)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    9 Citations (Scopus)

  • Fine-grained Generalization Analysis of Structured Output Prediction

    Mustafa, W., Lei, Y., Ledent, A. & Kloft, M., Aug 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 2841-2847 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    6 Citations (Scopus)

  • Fine-grained Generalization Analysis of Vector-valued Learning

    Wu, L., Ledent, A., Lei, Y. & Kloft, M., 18 May 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 10338-10346 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 12).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    7 Citations (Scopus)

  • Generalization Guarantee of SGD for Pairwise Learning

    Lei, Y., Liu, M. & Ying, Y., 6 Dec 2021, 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural Information Processing Systems Foundation, Vol. 26. p. 21216-21228 13 p. (Advances in Neural Information Processing Systems; vol. 34)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    24 Citations (Scopus)

  • Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks

    Ledent, A., Mustafa, W., Lei, Y. & Kloft, M., 18 May 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 8279-8287 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 9).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    11 Citations (Scopus)

  • Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning

    Yang, Z., Lei, Y., Wang, P., Yang, T. & Ying, Y., 6 Dec 2021, 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural Information Processing Systems Foundation, Vol. 24. p. 20160-20171 12 p. (Advances in Neural Information Processing Systems; vol. 34)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    14 Citations (Scopus)

  • Stability and Generalization for Randomized Coordinate Descent

    Wang, P., Wu, L. & Lei, Y., Aug 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 3104-3110 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    2 Citations (Scopus)

  • Total Variation Gamma Correction Method for Tone Mapped HDR Images

    Ng, M. K. & Qiao, M., 25 Sept 2021, Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018, Beijing, China, April 21–24. Tai, X-C., Wei, S. & Liu, H. (eds.). 1st ed. Singapore: Springer, p. 113-138 26 p. (Springer Proceedings in Mathematics and Statistics; vol. 360)(IPIP: International Workshop On Image Processing and Inverse Problems).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • 2020

    Cross-track illumination correction for hyperspectral pushbroom sensors using total variation and sparsity regularization

    Zhuang, L. & Ng, K. P., Jun 2020, 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020. IEEE Computer Society, 9104285. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; vol. 2020-June).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • Fine-Grained analysis of stability and generalization for stochastic gradient descent

    Lei, Y. & Ying, Y., Jul 2020, Proceedings of the 37th International Conference on Machine Learning, ICML 2020. Daumé III, H. & Singh, A. (eds.). ML Research Press, p. 5809-5819 11 p. (Proceedings of Machine Learning Research; vol. 119).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    26 Citations (Scopus)

  • Mean field theory for deep dropout networks: Digging up gradient backpropagation deeply: Digging up gradient backpropagation deeply

    Huang, W., Xu, R. Y. D., Du, W., Zeng, Y. & Zhao, Y., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press BV, p. 1215-1222 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    3 Citations (Scopus)

  • Optimized Schwarz-based Nonlinear Preconditioning for Elliptic PDEs

    Gu, Y. & KWOK, W. H. F., 25 Oct 2020, Domain Decomposition Methods in Science and Engineering XXV. Haynes, R., MacLachlan, S., Cai, X-C., Halpern, L., Kim, H. H., Klawonn, A. & Widlund, O. (eds.). 1st ed. Springer Science and Business Media Deutschland GmbH, p. 260-267 8 p. (Lecture Notes in Computational Science and Engineering; vol. 138).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • Self-attention-based fully-inception networks for continuous sign language recognition

    Zhou, M., Ng, M., Cai, Z. & Cheung, K. C., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). 1st ed. IOS Press BV, p. 2832-2839 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    16 Citations (Scopus)

  • Sharper Generalization Bounds for Pairwise Learning

    Lei, Y., Ledent, A. & Kloft, M., Dec 2020, Advances in Neural Information Processing Systems 33. Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). Vol. 33. 11 p.

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    28 Citations (Scopus)
  • 2019

    An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data

    Huo, L., Luo, S., Dong, Y., TAI, X-C. & Wang, Y., 5 Jun 2019, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). Springer Verlag, p. 144-155 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11603 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • A Variational Convex Hull Algorithm

    Li, L., Luo, S., TAI, X-C. & Yang, J., 5 Jun 2019, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). Springer Verlag, p. 224-235 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11603 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    5 Citations (Scopus)

  • Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections

    Zhang, H., Zhao, X. L., Jiang, T. X. & Ng, M. K. P., Jul 2019, 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. IEEE, p. 1939-1942 4 p. 8899257. (International Geoscience and Remote Sensing Symposium (IGARSS)).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    4 Citations (Scopus)

  • Convergence of Substructuring Methods for Elliptic Optimal Control Problems

    Gander, M. J., Kwok, F. & Mandal, B. C., 5 Jan 2019, Domain Decomposition Methods in Science and Engineering XXIV. Bjørstad, P. E., Brenner, S. C., Halpern, L., Kim, H. H., Kornhuber, R., Rahman, T. & Widlund, O. B. (eds.). 1st ed. Springer Cham, p. 291-300 10 p. (Lecture Notes in Computational Science and Engineering; vol. 125).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding

    Open Access
    4 Citations (Scopus)

  • Convex shape prior for multi-object segmentation using a single level set function

    Luo, S., TAI, X-C., Huo, L., Wang, Y. & GLOWINSKI, R., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. IEEE, p. 613-621 9 p. 9008107. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    22 Citations (Scopus)

  • Data-driven method for 3D axis-symmetric object reconstruction from single cone-beam projection data

    Luo, S., Meng, R., Wei, S., Cai, J. F., Tai, X-C. & Wang, Y., 24 Aug 2019, ISICDM 2019 - Conference Proceedings: 3rd International Symposium on Image Computing and Digital Medicine. Association for Computing Machinery (ACM), p. 288-292 5 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Low-dose X-ray computed tomography image reconstruction using edge sparsity regularization

    Luo, S., Kang, K., Wang, Y. & Tai, X-C., 24 Aug 2019, ISICDM 2019 - Conference Proceedings: 3rd International Symposium on Image Computing and Digital Medicine. Association for Computing Machinery (ACM), p. 303-307 5 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Meshless collocation methods for solving pdes on surfaces

    Chen, M., Cheung, K. C. & Ling, L., Jul 2019, Boundary Elements and other Mesh Reduction Methods XLII. Cheng, A. H-D. & Tadeu, A. (eds.). WITPress, p. 159-170 12 p. (WIT Transactions on Engineering Sciences; vol. 126).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access