1. Ren F, Wang C, Song J, Tang H, 2024, Deep reinforcement learning finds a new strategy for vortex-induced vibration control, Journal of Fluid Mechanics, in press
2. Zhang B, Guo F, To S, Tang H, 2024, Scaling of drag reduction and logarithmic profile in the turbulent boundary layer over micro-grated superhydrophobic surfaces, Physics of Fluids, 36: 035110
3. Wang Z, Wang C, Zhao F, Ren F, Luo X, Tang H, 2024, Fluid-structure interaction in phaco-emulsification based cataract surgery, International Journal of Mechanical Sciences, 267: 109022
4. Bi X, Wang C, Zhu Q, Tang H, 2023, Energy harvesting using an inverted piezohydroelastic flag with resistor-inductor-capacitor circuit, Journal of Fluid Mechanics, 975: A49
5. Zhao, F., Wang, Z., Bai, H., and Tang, H., 2023, Energy harvesting based on vortex-induced vibration of a wavy cylinder coupled with tuned mass damper, Energy, 282: 128584
6. Zeng, L., Zhao, F., Wang, H., Liu, Y., and Tang, H., 2023, Control of flow-induced vibration of a circular cylinder using a splitter plate, Physics of Fluids, 35: 087104
7. Zeng, L., Zhao, F., Wang, H., Wang, Z., Yeung, W.K., Liu, Y., and Tang, H., 2023, A bi-directional flow energy harvester, Applied Physics Letters, 122: 153901
8. Zhao, F., Jiang, Q., Wang, Z., Mumtaz Qadri, M.N., Li, L., and Tang, H., 2023, Interaction of two fully passive flapping foils arranged in tandem and its influence on flow energy harvesting, Energy, 268: 126714
9. Jiang Q, Ren F, Wang C, Wang Z, Kefayati GHR, Kenjeres S, Vafai K, Liu Y, Tang H, 2022, On the magnetic nanoparticle injection strategy for hyperthermia treatment, International Journal of Mechanical Sciences, 235: 107707
10. Gao L, Liu Y, Tang H, Deng W, 2022, Response of ~100 micron water jets to intense nanosecond laser blasts, Physical Review Fluids, 7: 034001
11. Wang Z, Wang C, Zhao F, Qi N, Lockington D, Ramaesh K, Stewart PS, Luo X, Tang H, 2022, Simulation of fluid-structure interaction during the phaco-emulsification stage of cataract surgery, International Journal of Mechanical Sciences, 214: 106931
12. Ren F, Wang C, Tang H, 2021, Bluff body uses deep-reinforcement-learning trained active flow control to achieve hydrodynamic stealth, Physics of Fluids, 33: 093602
13. Ren F, Rabault J, Tang H, 2021, Applying deep reinforcement learning to active flow control in weakly turbulent conditions, Physics of Fluids, 33: 037121 (ESI highly cited)
14. Zhao F, Mumtaz Qadri MN, Wang Z, Tang H, 2021, Flow-energy harvesting using a fully passive flapping foil: A guideline on design and operation, International Journal of Mechanical Sciences, 197: 106323
15. Mumtaz Qadri MN, Zhao F, Tang H, 2020, Fluid-structure interaction of a fully passive flapping foil for flow energy extraction, International Journal of Mechanical Sciences, 177: 105587
16. Ren F, Wang C, Tang H, 2019, Active control of vortex-induced vibration of a circular cylinder using machine learning, Physics of Fluids, 31: 093601
17. Ahmad S, Tang H, Yao HM, 2019, Shedding of a condensing droplet from beetle-inspired bumps, International Journal of Heat and Mass Transfer, 141: 1087-1096
18. Kefayati GHR, Tang H, Chan A, 2018, Immersed boundary-finite difference lattice Boltzmann model through fluid-structure interaction for viscoplastic fluids, Journal of Fluids and Structures, 83: 238-258
19. Wang L, Tang H, Wu Y, 2018, On a submerged wave energy converter with snap-through power take-off, Applied Ocean Research, 80: 24-36
20. Wang C, Tang H, Yu SCM, Duan F, 2017, Lock-on of vortex shedding to a pair of synthetic jets with phase difference, Physical Review Fluids, 2: 104701

For the full list of publications, please check Dr Tang’s Google Scholar page