Prof. CHEN Minghua (陳名華)

Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns

Huang, H., Chen, M. & Qiao, X., May 2024, The Twelfth International Conference on Learning Representations. International Conference on Learning Representations, ICLR, 21 p. (International Conference on Learning Representations).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Minimizing Carbon Footprint for Timely E-Truck Transportation: Hardness and Approximation Algorithm

Su, J., Lin, Q., Chen, M. & Zeng, H., Dec 2023, 2023 62nd IEEE Conference on Decision and Control (CDC). Institute of Electrical and Electronics Engineers, Inc., p. 7773-7778 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set

Liang, E., Chen, M. & Low, S. H., Jul 2023, Proceedings of the 40^th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). p. 20623-20649 (Proceedings of Machine Learning Research; vol. 202).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 1

Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck Transportation

Su, J., Lin, Q. & Chen, M., Jun 2023, Proceedings of the 14th ACM International Conference on Future Energy Systems. Association for Computing Machinery (ACM), p. 159–171

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 3

Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints

Zhao, T., Pan, X., Chen, M. & Low, S. H., May 2023, The Eleventh International Conference on Learning Representations. International Conference on Learning Representations, ICLR, 13 p. (International Conference on Learning Representations, ICLR).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 3

DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution Mapping

Pan, X., Huang, W., Chen, M. & Low, S. H., 2023, e-Energy '23 - Proceedings of the 2023 The 14th ACM International Conference on Future Energy Systems. New York, NY: Association for Computing Machinery, Inc, p. 42-47 (e-Energy - Proceedings of the ACM International Conference on Future Energy Systems).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 4

Optimizing Demand Response in Distribution Network with Grid Operational Constraints

Zhao, T., Zhou, M., Mo, Y., Wang, J. M., Luo, J., Pan, X. & Chen, M., 2023, e-Energy '23 - Proceedings of the 2023 The 14th ACM International Conference on Future Energy Systems. New York, NY: Association for Computing Machinery, Inc, p. 299-313 (e-Energy - Proceedings of the ACM International Conference on Future Energy Systems).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review